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Michael R. Lyu

Michael Rung-Tsong Lyu – 吕荣聪

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unicode name: 吕荣聪
affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
affiliation (1992 - 1995): University of Iowa, IA, USA

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2025
[j163]
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Wenxuan Wang, Wenxiang Jiao, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
On the shortcut learning in multilingual neural machine translation. Neurocomputing 615: 128833 (2025)
2024
[j162]
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Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1(FSE): 137-160 (2024)
[j161]
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Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. Proc. ACM Softw. Eng. 1(FSE): 609-630 (2024)
[j160]
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Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu:
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps. Proc. ACM Softw. Eng. 1(FSE): 2167-2189 (2024)
[j159]
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Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu:
Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials. Proc. ACM Softw. Eng. 1(FSE): 2515-2537 (2024)
[j158]
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Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael Rung-Tsong Lyu, Yangfan Zhou:
A Memory-Disaggregated Radix Tree. ACM Trans. Storage 20(3): 15 (2024)
[j157]
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  - journals/tpds/CiLZZY24
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Yi-Wei Ci, Michael R. Lyu, Zhan Zhang, De-Cheng Zuo, Xiao-Zong Yang:
KLNK: Expanding Page Boundaries in a Distributed Shared Memory System. IEEE Trans. Parallel Distributed Syst. 35(9): 1524-1535 (2024)
[c452]
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  - conf/IEEEcloud/ChenJSLZ24
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Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
Tracemesh: Scalable and Streaming Sampling for Distributed Traces. CLOUD 2024: 54-65
[c451]
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  - conf/aaai/ZhangHX0L24
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Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu:
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. AAAI 2024: 7133-7141
[c450]
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Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu:
Curvature-Invariant Adversarial Attacks for 3D Point Clouds. AAAI 2024: 7142-7150
[c449]
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  - conf/acl/LiLL024
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Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang:
Making Long-Context Language Models Better Multi-Hop Reasoners. ACL (1) 2024: 2462-2475
[c448]
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Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu:
All Languages Matter: On the Multilingual Safety of LLMs. ACL (Findings) 2024: 5865-5877
[c447]
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Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. ACL (1) 2024: 6349-6384
[c446]
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  - conf/emnlp/Wan0YY0HJL24
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Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. EMNLP 2024: 2124-2155
[c445]
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Zi-Yuan Hu, Yiwu Zhong, Shijia Huang, Michael R. Lyu, Liwei Wang:
Enhancing Temporal Modeling of Video LLMs via Time Gating. EMNLP (Findings) 2024: 2845-2856
[c444]
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Jen-tse Huang, Wenxiang Jiao, Man Ho Lam, Eric John Li, Wenxuan Wang, Michael R. Lyu:
On the Reliability of Psychological Scales on Large Language Models. EMNLP 2024: 6152-6173
[c443]
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Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu, Liwei Wang:
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning. EMNLP 2024: 6876-6911
[c442]
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  - conf/icde/LeeZYH0HL24
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Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu:
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. ICDE 2024: 165-178
[c441]
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  - conf/iclr/0001WLLRYJTL24
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Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. ICLR 2024
[c440]
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  - conf/icse/PengGGHL24
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Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu:
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. ICSE 2024: 4:1-4:13
[c439]
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Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE 2024: 80:1-80:13
[c438]
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  - conf/icse/PengHWGLL24
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Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu:
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. ICSE 2024: 202:1-202:12
[c437]
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  - conf/icse/WangLX0SHL24
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Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, Yulei Sui, Pinjia He, Michael R. Lyu:
An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles. ICSE 2024: 210:1-210:13
[c436]
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  - conf/icse/KuangLHZGY0YL24
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Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu:
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. ICSE-SEIP 2024: 369-380
[c435]
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  - conf/icse/HuangLCJLGFYYL24
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Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. ICSE-SEIP 2024: 392-404
[c434]
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  - conf/issta/JiangL00HGCZL24
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Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu:
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? ISSTA 2024: 223-234
[c433]
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Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu:
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. ISSTA 2024: 235-247
[c432]
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  - conf/issta/YangLS0FYL24
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Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Cong Feng, Yongqiang Yang, Michael R. Lyu:
MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing. ISSTA 2024: 325-337
[c431]
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  - conf/kbse/ZhangRGLL24
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Xiaolu Zhang, Tahmid Rafi, Yuejun Guan, Shuqing Li, Michael R. Lyu:
Demystifying the Privacy-Realism Dilemma in the Metaverse. ASE Workshops 2024: 245-250
[c430]
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  - conf/kdd/XiaoXZLZFLTLZH024
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Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, Michael R. Lyu:
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask. KDD 2024: 3551-3562
[c429]
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  - conf/llm4code/0003PHL24
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Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu:
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. LLM4CODE@ICSE 2024: 70-74
[c428]
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  - conf/mm/0001B0WYQPL24
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Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R. Lyu:
New Job, New Gender? Measuring the Social Bias in Image Generation Models. ACM Multimedia 2024: 3781-3789
[c427]
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  - conf/sosp/LuoSZ0LZ24
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Xuchuan Luo, Jiacheng Shen, Pengfei Zuo, Xin Wang, Michael R. Lyu, Yangfan Zhou:
CHIME: A Cache-Efficient and High-Performance Hybrid Index on Disaggregated Memory. SOSP 2024: 110-126
[i171]
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  - journals/corr/abs-2401-00757
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Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models. CoRR abs/2401.00757 (2024)
[i170]
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  - journals/corr/abs-2401-00761
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Wenxuan Wang, Juluan Shi, Zhaopeng Tu, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu:
The Earth is Flat? Unveiling Factual Errors in Large Language Models. CoRR abs/2401.00761 (2024)
[i169]
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  - journals/corr/abs-2401-00763
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Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R. Lyu:
New Job, New Gender? Measuring the Social Bias in Image Generation Models. CoRR abs/2401.00763 (2024)
[i168]
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  - journals/corr/abs-2401-01060
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Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR abs/2401.01060 (2024)
[i167]
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  - journals/corr/abs-2401-06175
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Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu:
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. CoRR abs/2401.06175 (2024)
[i166]
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  - journals/corr/abs-2402-03630
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Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu:
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. CoRR abs/2402.03630 (2024)
[i165]
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  - journals/corr/abs-2402-11217
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Wenxuan Wang, Yihang Su, Jingyuan Huan, Jie Liu, Wenting Chen, Yudi Zhang, Cheng-Yi Li, Kao-Jung Chang, Xiaohan Xin, Linlin Shen, Michael R. Lyu:
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. CoRR abs/2402.11217 (2024)
[i164]
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  - journals/corr/abs-2402-12958
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Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. CoRR abs/2402.12958 (2024)
[i163]
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  - journals/corr/abs-2402-17583
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Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. CoRR abs/2402.17583 (2024)
[i162]
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  - journals/corr/abs-2403-06485
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Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu:
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. CoRR abs/2403.06485 (2024)
[i161]
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  - journals/corr/abs-2403-11807
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Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments. CoRR abs/2403.11807 (2024)
[i160]
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  - journals/corr/abs-2403-17574
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Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu:
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. CoRR abs/2403.17574 (2024)
[i159]
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  - journals/corr/abs-2403-18252
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Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu, Liwei Wang:
Beyond Embeddings: The Promise of Visual Table in Multi-Modal Models. CoRR abs/2403.18252 (2024)
[i158]
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  - journals/corr/abs-2403-19096
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Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu:
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. CoRR abs/2403.19096 (2024)
[i157]
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  - journals/corr/abs-2404-13957
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Man Tik Ng, Hui Tung Tse, Jen-tse Huang, Jingjing Li, Wenxuan Wang, Michael R. Lyu:
How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO. CoRR abs/2404.13957 (2024)
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Cheryl Lee, Chunqiu Steven Xia, Jen-tse Huang, Zhouruixin Zhu, Lingming Zhang, Michael R. Lyu:
A Unified Debugging Approach via LLM-Based Multi-Agent Synergy. CoRR abs/2404.17153 (2024)
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Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, Michael R. Lyu:
Exploring Multi-Lingual Bias of Large Code Models in Code Generation. CoRR abs/2404.19368 (2024)
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Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam:
Automatic Programming: Large Language Models and Beyond. CoRR abs/2405.02213 (2024)
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Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
TraceMesh: Scalable and Streaming Sampling for Distributed Traces. CoRR abs/2406.06975 (2024)
[i152]
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Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu:
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. CoRR abs/2406.07174 (2024)
[i151]
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Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu:
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps. CoRR abs/2406.09313 (2024)
[i150]
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Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu:
Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach. CoRR abs/2406.16386 (2024)
[i149]
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  - journals/corr/abs-2408-00989
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Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Maarten Sap, Michael R. Lyu:
On the Resilience of Multi-Agent Systems with Malicious Agents. CoRR abs/2408.00989 (2024)
[i148]
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Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu:
Automated Defects Detection and Fix in Logging Statement. CoRR abs/2408.03101 (2024)
[i147]
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Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang:
Making Long-Context Language Models Better Multi-Hop Reasoners. CoRR abs/2408.03246 (2024)
[i146]
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Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu:
Search-Based LLMs for Code Optimization. CoRR abs/2408.12159 (2024)
[i145]
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Wenxuan Wang, Juluan Shi, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Michael R. Lyu:
Learning to Ask: When LLMs Meet Unclear Instruction. CoRR abs/2409.00557 (2024)
[i144]
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  - journals/corr/abs-2409-10811
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Shuqing Li, Binchang Li, Yepang Liu, Cuiyun Gao, Jianping Zhang, Shing-Chi Cheung, Michael R. Lyu:
Context-Dependent Interactable Graphical User Interface Element Detection for Spatial Computing Applications. CoRR abs/2409.10811 (2024)
[i143]
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Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Wenxuan Wang, Chun Yong Chong, Shan Gao, Michael R. Lyu:
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. CoRR abs/2409.13178 (2024)
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Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024)
[i141]
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Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu:
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. CoRR abs/2409.13561 (2024)
[i140]
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Zi-Yuan Hu, Yiwu Zhong, Shijia Huang, Michael R. Lyu, Liwei Wang:
Enhancing Temporal Modeling of Video LLMs via Time Gating. CoRR abs/2410.05714 (2024)
2023
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Antonio Guerriero, Michael R. Lyu, Roberto Pietrantuono, Stefano Russo:
Assessing operational accuracy of CNN-based image classifiers using an oracle surrogate. Intell. Syst. Appl. 17: 200172 (2023)
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Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu:
A transformer-based approach for improving app review response generation. Softw. Pract. Exp. 53(2): 438-454 (2023)
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Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu:
Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. 32(1): 23:1-23:32 (2023)
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? IEEE Trans. Software Eng. 49(4): 1876-1897 (2023)
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Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. 49(5): 3289-3304 (2023)
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Wuqi Zhang, Lili Wei, Shing-Chi Cheung, Yepang Liu, Shuqing Li, Lu Liu, Michael R. Lyu:
Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation. IEEE Trans. Software Eng. 49(6): 3630-3646 (2023)
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Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
Prompt Tuning in Code Intelligence: An Experimental Evaluation. IEEE Trans. Software Eng. 49(11): 4869-4885 (2023)
[c426]
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Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu:
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. AAAI 2023: 1530-1538
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  - conf/ccs/WangML23
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Zilun Wang, Wei Meng, Michael R. Lyu:
Fine-Grained Data-Centric Content Protection Policy for Web Applications. CCS 2023: 2845-2859
[c424]
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Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu:
Improving the Transferability of Adversarial Samples by Path-Augmented Method. CVPR 2023: 8173-8182
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Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu:
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization. CVPR 2023: 16415-16424
[c422]
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Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang:
CLEVA: Chinese Language Models EVAluation Platform. EMNLP (Demos) 2023: 186-217
[c421]
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Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu:
FUSEE: A Fully Memory-Disaggregated Key-Value Store. FAST 2023: 81-98
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  - conf/iccv/HuLLW23
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Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang:
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. ICCV 2023: 2998-3008
[c419]
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Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu:
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. ICDM (Workshops) 2023: 1213-1220
[c418]
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Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu:
Practical and Efficient Model Extraction of Sentiment Analysis APIs. ICSE 2023: 524-536
[c417]
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Yintong Huo, Yuxin Su, Cheryl Lee, Michael R. Lyu:
SemParser: A Semantic Parser for Log Analytics. ICSE 2023: 881-893
[c416]
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Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. ICSE 2023: 1724-1736
[c415]
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Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. ICSE 2023: 1750-1762
[c414]
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Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311
[c413]
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Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu:
MTTM: Metamorphic Testing for Textual Content Moderation Software. ICSE 2023: 2387-2399
[c412]
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Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu:
Towards Semantics- and Domain-Aware Adversarial Attacks. IJCAI 2023: 536-544
[c411]
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Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu:
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. ISSRE 2023: 36-45
[c410]
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Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu:
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. ISSRE 2023: 355-366
[c409]
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Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu:
EvLog: Identifying Anomalous Logs over Software Evolution. ISSRE 2023: 391-402
[c408]
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Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu:
Validating Multimedia Content Moderation Software via Semantic Fusion. ISSTA 2023: 576-588
[c407]
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Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. ASE 2023: 116-128
[c406]
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Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. ASE 2023: 268-280
[c405]
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Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu:
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. ASE 2023: 497-509
[c404]
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Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, Michael R. Lyu:
Revealing Performance Issues in Server-Side WebAssembly Runtimes Via Differential Testing. ASE 2023: 661-672
[c403]
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Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, Michael R. Lyu:
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? ASE 2023: 761-773
[c402]
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Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. ASE 2023: 988-999
[c401]
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Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu:
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software. ASE 2023: 1339-1351
[c400]
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Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. ASE 2023: 1952-1962
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Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael R. Lyu, Yangfan Zhou:
SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory. OSDI 2023: 553-571
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Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu:
BiasAsker: Measuring the Bias in Conversational AI System. ESEC/SIGSOFT FSE 2023: 515-527
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Xiaoxue Ren, Xinyuan Ye, Yun Lin, Zhenchang Xing, Shuqing Li, Michael R. Lyu:
API-Knowledge Aware Search-Based Software Testing: Where, What, and How. ESEC/SIGSOFT FSE 2023: 1320-1332
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Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, Michael R. Lyu:
Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. SOSP 2023: 675-691
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. Version 2. Zenodo, 2023 [all versions]
[i139]
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Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu:
FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version). CoRR abs/2301.09839 (2023)
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  - journals/corr/abs-2302-05092
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Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. CoRR abs/2302.05092 (2023)
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Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu:
MTTM: Metamorphic Testing for Textual Content Moderation Software. CoRR abs/2302.05706 (2023)
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  - journals/corr/abs-2302-06914
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Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. CoRR abs/2302.06914 (2023)
[i135]
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  - journals/corr/abs-2302-09520
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Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520 (2023)
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  - journals/corr/abs-2303-13648
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Haoran Wu, Wenxuan Wang, Yuxuan Wan, Wenxiang Jiao, Michael R. Lyu:
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark. CoRR abs/2303.13648 (2023)
[i133]
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  - journals/corr/abs-2303-15735
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Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu:
Improving the Transferability of Adversarial Samples by Path-Augmented Method. CoRR abs/2303.15735 (2023)
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  - journals/corr/abs-2303-15754
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Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu:
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization. CoRR abs/2303.15754 (2023)
[i131]
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  - journals/corr/abs-2304-07575
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Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Michael R. Lyu:
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study. CoRR abs/2304.07575 (2023)
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  - journals/corr/abs-2305-12434
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Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu:
BiasAsker: Measuring the Bias in Conversational AI System. CoRR abs/2305.12434 (2023)
[i129]
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Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu:
Validating Multimedia Content Moderation Software via Semantic Fusion. CoRR abs/2305.13623 (2023)
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  - journals/corr/abs-2305-19926
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Jen-tse Huang, Wenxuan Wang, Man Ho Lam, Eric John Li, Wenxiang Jiao, Michael R. Lyu:
ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models. CoRR abs/2305.19926 (2023)
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Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu:
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. CoRR abs/2306.01394 (2023)
[i126]
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Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu:
EvLog: Evolving Log Analyzer for Anomalous Logs Identification. CoRR abs/2306.01509 (2023)
[i125]
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  - journals/corr/abs-2306-05032
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Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu:
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. CoRR abs/2306.05032 (2023)
[i124]
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  - journals/corr/abs-2306-08257
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Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu:
On the Robustness of Latent Diffusion Models. CoRR abs/2306.08257 (2023)
[i123]
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  - journals/corr/abs-2307-05950
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Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu:
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study. CoRR abs/2307.05950 (2023)
[i122]
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  - journals/corr/abs-2307-09163
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Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. CoRR abs/2307.09163 (2023)
[i121]
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  - journals/corr/abs-2307-10869
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Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael R. Lyu:
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection. CoRR abs/2307.10869 (2023)
[i120]
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Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench. CoRR abs/2308.03656 (2023)
[i119]
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  - journals/corr/abs-2308-04813
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Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang:
CLEVA: Chinese Language Models EVAluation Platform. CoRR abs/2308.04813 (2023)
[i118]
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  - journals/corr/abs-2308-06783
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Shuqing Li, Lili Wei, Yepang Liu, Cuiyun Gao, Shing-Chi Cheung, Michael R. Lyu:
Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives. CoRR abs/2308.06783 (2023)
[i117]
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  - journals/corr/abs-2308-07638
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Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. CoRR abs/2308.07638 (2023)
[i116]
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  - journals/corr/abs-2308-07676
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Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. CoRR abs/2308.07676 (2023)
[i115]
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  - journals/corr/abs-2308-09324
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Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu:
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. CoRR abs/2308.09324 (2023)
[i114]
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  - journals/corr/abs-2308-09804
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Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang:
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. CoRR abs/2308.09804 (2023)
[i113]
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  - journals/corr/abs-2308-09810
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Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu:
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software. CoRR abs/2308.09810 (2023)
[i112]
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  - journals/corr/abs-2308-09937
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Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu:
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. CoRR abs/2308.09937 (2023)
[i111]
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  - journals/corr/abs-2308-10828
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Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu:
A Large-scale Benchmark for Log Parsing. CoRR abs/2308.10828 (2023)
[i110]
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  - journals/corr/abs-2309-07639
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Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu:
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools. CoRR abs/2309.07639 (2023)
[i109]
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  - journals/corr/abs-2309-08115
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Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. CoRR abs/2309.08115 (2023)
[i108]
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  - journals/corr/abs-2309-10239
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Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, Michael R. Lyu:
Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. CoRR abs/2309.10239 (2023)
[i107]
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  - journals/corr/abs-2309-12167
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Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, Michael R. Lyu:
Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing. CoRR abs/2309.12167 (2023)
[i106]
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  - journals/corr/abs-2310-00677
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Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu:
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. CoRR abs/2310.00677 (2023)
[i105]
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  - journals/corr/abs-2310-00905
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Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu:
All Languages Matter: On the Multilingual Safety of Large Language Models. CoRR abs/2310.00905 (2023)
[i104]
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  - journals/corr/abs-2310-01386
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Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench. CoRR abs/2310.01386 (2023)
[i103]
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  - journals/corr/abs-2310-01796
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Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LLMParser: A LLM-based Log Parsing Framework. CoRR abs/2310.01796 (2023)
[i102]
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  - journals/corr/abs-2310-12481
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Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. CoRR abs/2310.12481 (2023)
[i101]
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  - journals/corr/abs-2310-12598
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Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu:
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. CoRR abs/2310.12598 (2023)
2022
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Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. ACM Comput. Surv. 54(6): 130:1-130:37 (2022)
[j148]
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Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022)
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Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5026-5041 (2022)
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Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56(1): 1-7 (2022)
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Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022)
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Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, Michael R. Lyu:
Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs. ACM Trans. Softw. Eng. Methodol. 31(1): 3:1-3:25 (2022)
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Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. 31(1): 11:1-11:36 (2022)
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Zibin Zheng, Xiaoli Li, Mingdong Tang, Fenfang Xie, Michael R. Lyu:
Web Service QoS Prediction via Collaborative Filtering: A Survey. IEEE Trans. Serv. Comput. 15(4): 2455-2472 (2022)
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Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022)
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Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision By On-the-Fly Representation Optimization. AAAI 2022: 10956-10964
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Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) 2022: 2534-2544
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Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL (1) 2022: 2591-2600
[c392]
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  - conf/cvpr/ZhangWHHW0L22
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Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu:
Improving Adversarial Transferability via Neuron Attribution-based Attacks. CVPR 2022: 14973-14982
[c391]
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  - conf/dsn/YangSSRYL22
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Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiaoxue Ren, Yongqiang Yang, Michael R. Lyu:
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. DSN 2022: 393-401
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Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang:
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. EMNLP 2022: 10469-10483
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Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang:
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. EMNLP 2022: 10551-10564
[c388]
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Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. ICSE 2022: 61-72
[c387]
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Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu:
ARCLIN: Automated API Mention Resolution for Unformatted Texts. ICSE 2022: 138-149
[c386]
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Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu:
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. ICSE 2022: 2019-2030
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  - conf/issre/YangLS0YL22
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Tianyi Yang, Baitong Li, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Managing Service Dependency for Cloud Reliability: The Industrial Practice. ISSRE Workshops 2022: 67-68
[c384]
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Yintong Huo, Yuxin Su, Michael R. Lyu:
LogVm: Variable Semantics Miner for Log Messages. ISSRE Workshops 2022: 124-125
[c383]
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  - conf/issta/HuangZWH0L22
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Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu:
AEON: a method for automatic evaluation of NLP test cases. ISSTA 2022: 202-214
[c382]
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  - conf/naacl/0001YLMZYKL22
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Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. NAACL-HLT (Findings) 2022: 1233-1246
[c381]
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Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS 2022
[c380]
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  - conf/sigsoft/WangYGP0L22
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Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. ESEC/SIGSOFT FSE 2022: 382-394
[i100]
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Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu:
ARCLIN: Automated API Mention Resolution for Unformatted Texts. CoRR abs/2201.01459 (2022)
[i99]
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  - journals/corr/abs-2201-02944
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Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. CoRR abs/2201.02944 (2022)
[i98]
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  - journals/corr/abs-2202-06633
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Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang:
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. CoRR abs/2202.06633 (2022)
[i97]
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  - journals/corr/abs-2203-08442
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Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. CoRR abs/2203.08442 (2022)
[i96]
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  - journals/corr/abs-2203-15287
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Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. CoRR abs/2203.15287 (2022)
[i95]
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  - journals/corr/abs-2204-00008
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Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu:
Improving Adversarial Transferability via Neuron Attribution-Based Attacks. CoRR abs/2204.00008 (2022)
[i94]
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  - journals/corr/abs-2204-07359
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Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision by On-the-Fly Representation Optimization. CoRR abs/2204.07359 (2022)
[i93]
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  - journals/corr/abs-2204-09670
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Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiaoxue Ren, Yongqiang Yang, Michael R. Lyu:
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. CoRR abs/2204.09670 (2022)
[i92]
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  - journals/corr/abs-2205-06439
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Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu:
AEON: A Method for Automatic Evaluation of NLP Test Cases. CoRR abs/2205.06439 (2022)
[i91]
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  - journals/corr/abs-2205-10068
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Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu:
Understanding and Mitigating the Uncertainty in Zero-Shot Translation. CoRR abs/2205.10068 (2022)
[i90]
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  - journals/corr/abs-2205-10471
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Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. CoRR abs/2205.10471 (2022)
[i89]
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  - journals/corr/abs-2207-04285
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Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu:
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR abs/2207.04285 (2022)
[i88]
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  - journals/corr/abs-2207-11680
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Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence. CoRR abs/2207.11680 (2022)
[i87]
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  - journals/corr/abs-2208-01971
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Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. CoRR abs/2208.01971 (2022)
[i86]
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  - journals/corr/abs-2209-08055
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Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu:
A Transformer-Based Approach for Improving App Review Response Generation. CoRR abs/2209.08055 (2022)
[i85]
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  - journals/corr/abs-2210-06249
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Tianyi Yang, Baitong Li, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Managing Service Dependency for Cloud Reliability: The Industrial Practice. CoRR abs/2210.06249 (2022)
[i84]
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  - journals/corr/abs-2211-01587
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Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang:
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. CoRR abs/2211.01587 (2022)
[i83]
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  - journals/corr/abs-2212-12110
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Wuqi Zhang, Lili Wei, Shing-Chi Cheung, Yepang Liu, Shuqing Li, Lu Liu, Michael R. Lyu:
Front-Running Attack Benchmark Construction and Vulnerability Detection Technique Evaluation. CoRR abs/2212.12110 (2022)
[i82]
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  - journals/corr/abs-2212-12850
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Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
An Adaptive Resilience Testing Framework for Microservice Systems. CoRR abs/2212.12850 (2022)
2021
[j140]
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Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
On the diversity of multi-head attention. Neurocomputing 454: 14-24 (2021)
[j139]
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  - journals/infsof/GaoZSLKL21
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Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. 132: 106471 (2021)
[j138]
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Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep code retrieval based on semantic Dependency Learning. Neural Networks 141: 385-394 (2021)
[j137]
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  - journals/tetc/SeniorZZLN21
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Hong-Ning Dai Senior, Zibin Zheng, Yan Zhang, Michael Rung-Tsong Lyu, Alberto Nannarelli:
Special Section on Scalable Computing for Blockchain Systems. IEEE Trans. Emerg. Top. Comput. 9(3): 1372 (2021)
[j136]
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Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu:
Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. 33(3): 1089-1101 (2021)
[j135]
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  - journals/tosem/WuCGFLWL21
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Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation. ACM Trans. Softw. Eng. Methodol. 30(2): 21:1-21:29 (2021)
[c379]
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  - conf/acl/Jiao0T0LK20
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Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850
[c378]
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Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) 2021: 4334-4348
[c377]
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  - conf/cvpr/WuSLK21
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Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King:
Improving the Transferability of Adversarial Samples With Adversarial Transformations. CVPR 2021: 9024-9033
[c376]
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Jiacheng Shen, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu:
Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms. ICDCS 2021: 194-204
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Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu:
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) 2021: 367-378
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Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN 2021: 1-8
[c373]
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Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. ASE 2021: 430-442
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Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. ASE 2021: 653-665
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Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL-HLT 2021: 3989-3996
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Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu:
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. WWW (Companion Volume) 2021: 708-712
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. Version v1.0. Zenodo, 2021 [all versions]
[i81]
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  - journals/corr/abs-2102-08633
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Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King:
Open-Retrieval Conversational Machine Reading. CoRR abs/2102.08633 (2021)
[i80]
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Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu:
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. CoRR abs/2103.15774 (2021)
[i79]
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Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu:
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. CoRR abs/2105.03595 (2021)
[i78]
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  - journals/corr/abs-2106-00941
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Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021)
[i77]
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  - journals/corr/abs-2106-04195
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Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. CoRR abs/2106.04195 (2021)
[i76]
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Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR abs/2106.08571 (2021)
[i75]
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  - journals/corr/abs-2107-05908
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Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu:
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. CoRR abs/2107.05908 (2021)
[i74]
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  - journals/corr/abs-2108-12179
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Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. CoRR abs/2108.12179 (2021)
[i73]
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  - journals/corr/abs-2109-04893
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Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. CoRR abs/2109.04893 (2021)
[i72]
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Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR abs/2109.15082 (2021)
[i71]
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Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu:
SemParser: A Semantic Parser for Log Analysis. CoRR abs/2112.12636 (2021)
[i70]
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? CoRR abs/2112.12653 (2021)
2020
[j134]
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Jie Zhang, Jiajing Wu, Chun Lung Philip Chen, Zibin Zheng, Michael R. Lyu:
CDS: A Cross-Version Software Defect Prediction Model With Data Selection. IEEE Access 8: 110059-110072 (2020)
[j133]
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Hui Xu, Yangfan Zhou, Jiang Ming, Michael R. Lyu:
Layered obfuscation: a taxonomy of software obfuscation techniques for layered security. Cybersecur. 3(1): 9 (2020)
[j132]
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Anita D. Carleton, Erin Harper, Tim Menzies, Tao Xie, Sigrid Eldh, Michael R. Lyu:
The AI Effect: Working at the Intersection of AI and SE. IEEE Softw. 37(4): 26-35 (2020)
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Anita D. Carleton, Erin Harper, Michael R. Lyu, Sigrid Eldh, Tao Xie, Tim Menzies:
Expert Perspectives on AI. IEEE Softw. 37(4): 87-94 (2020)
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Hui Xu, Zirui Zhao, Yangfan Zhou, Michael R. Lyu:
Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs. IEEE Trans. Dependable Secur. Comput. 17(6): 1243-1256 (2020)
[j129]
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Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-Aware Covariance Estimator From Compressed Data. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2441-2454 (2020)
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Yi-Wei Ci, Michael R. Lyu, Zhan Zhang, De-Cheng Zuo, Xiao-Zong Yang:
Random Priority-Based Thrashing Control for Distributed Shared Memory. IEEE Trans. Parallel Distributed Syst. 31(3): 663-674 (2020)
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Liang Chen, Yongjian Ye, Angyu Zheng, Fenfang Xie, Zibin Zheng, Michael R. Lyu:
Incorporating geographical location for team formation in social coding sites. World Wide Web 23(1): 153-174 (2020)
[c369]
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Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. AAAI 2020: 3203-3210
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Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. AAAI 2020: 8002-8009
[c367]
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Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. AAAI 2020: 8204-8211
[c366]
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Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. ACCV (5) 2020: 154-169
[c365]
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Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King:
Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) 2020: 204-214
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Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL 2020: 935-945
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  - conf/cvpr/WuSCZKLT20
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Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Boosting the Transferability of Adversarial Samples via Attention. CVPR 2020: 1158-1167
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Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CVPR 2020: 6647-6656
[c361]
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Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. CVPR 2020: 8649-8658
[c360]
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Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. EMNLP (Findings) 2020: 431-440
[c359]
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Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266
[c358]
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Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. EMNLP (1) 2020: 2439-2449
[c357]
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Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. EMNLP (1) 2020: 3311-3324
[c356]
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Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. EMNLP (1) 2020: 3325-3338
[c355]
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Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. EMNLP (Findings) 2020: 4839-4846
[c354]
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  - conf/icsoc/LyuS20
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Michael R. Lyu, Yuxin Su:
Software Reliability Engineering for Resilient Cloud Operations. ICSOC Workshops 2020: 264-268
[c353]
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Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. NeurIPS 2020
[c352]
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Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng:
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS 2020
[c351]
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Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE 2020: 1487-1497
[c350]
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. WWW 2020: 1502-1513
[i69]
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  - journals/corr/abs-2002-03536
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. CoRR abs/2002.03536 (2020)
[i68]
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Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020)
[i67]
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Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CoRR abs/2004.02138 (2020)
[i66]
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Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Variational Attention Models for Language Generation. CoRR abs/2004.09764 (2020)
[i65]
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Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation. CoRR abs/2004.11516 (2020)
[i64]
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  - journals/corr/abs-2004-13270
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Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. CoRR abs/2004.13270 (2020)
[i63]
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  - journals/corr/abs-2004-13278
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Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. CoRR abs/2004.13278 (2020)
[i62]
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  - journals/corr/abs-2005-12484
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Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR abs/2005.12484 (2020)
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  - journals/corr/abs-2007-08557
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Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. CoRR abs/2007.08557 (2020)
[i60]
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  - journals/corr/abs-2007-15280
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Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. CoRR abs/2007.15280 (2020)
[i59]
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  - journals/corr/abs-2008-06448
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Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu:
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. CoRR abs/2008.06448 (2020)
[i58]
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  - journals/corr/abs-2008-09976
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Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR abs/2008.09976 (2020)
[i57]
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  - journals/corr/abs-2008-12112
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Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR abs/2008.12112 (2020)
[i56]
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  - journals/corr/abs-2009-07237
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Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. CoRR abs/2009.07237 (2020)
[i55]
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  - journals/corr/abs-2010-01495
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Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. CoRR abs/2010.01495 (2020)
[i54]
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  - journals/corr/abs-2010-01838
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Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. CoRR abs/2010.01838 (2020)
[i53]
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  - journals/corr/abs-2010-01908
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Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. CoRR abs/2010.01908 (2020)
[i52]
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  - journals/corr/abs-2010-02552
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Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR abs/2010.02552 (2020)
[i51]
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  - journals/corr/abs-2010-04384
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Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. CoRR abs/2010.04384 (2020)
[i50]
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  - journals/corr/abs-2010-04948
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Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Making Online Sketching Hashing Even Faster. CoRR abs/2010.04948 (2020)
[i49]
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  - journals/corr/abs-2010-04966
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Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-aware Covariance Estimator from Compressed Data. CoRR abs/2010.04966 (2020)
[i48]
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  - journals/corr/abs-2010-06301
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Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. CoRR abs/2010.06301 (2020)
[i47]
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  - journals/corr/abs-2010-12868
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Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. CoRR abs/2010.12868 (2020)
[i46]
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  - journals/corr/abs-2010-16063
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Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience. CoRR abs/2010.16063 (2020)
[i45]
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  - journals/corr/abs-2011-01565
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Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. CoRR abs/2011.01565 (2020)
[i44]
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  - journals/corr/abs-2012-01028
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Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning. CoRR abs/2012.01028 (2020)
[i43]
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  - journals/corr/abs-2012-15701
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Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR abs/2012.15701 (2020)

2010 – 2019

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2019
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  - journals/tacl/ZengLHGLK19
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Trans. Assoc. Comput. Linguistics 7: 267-281 (2019)
[c349]
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  - conf/aaai/ChenGZKL19
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Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. AAAI 2019: 6268-6275
[c348]
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  - conf/aaai/GaoBLKL19
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Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. AAAI 2019: 6423-6430
[c347]
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  - conf/aaai/LiuKLX19
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Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. AAAI 2019: 8770-8777
[c346]
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  - conf/acl/WangLCKLS19
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Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. ACL (1) 2019: 2516-2526
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  - conf/acl/GaoLKL19
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Yifan Gao, Piji Li, Irwin King, Michael R. Lyu:
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. ACL (1) 2019: 4853-4862
[c344]
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  - conf/acl-wnlp/FengleiCR19
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Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. WNLP@ACL 2019: 73-76
[c343]
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  - conf/cvpr/LiuLKX19
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Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. CVPR 2019: 4571-4580
[c342]
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  - conf/dsn/XuCWJKL19
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Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, Michael R. Lyu:
NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. DSN Workshops 2019: 44-47
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  - conf/dsn/WuXZLK19
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Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King:
Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. DSN 2019: 125-137
[c340]
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  - conf/emnlp/HeTWWLS19
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Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. EMNLP/IJCNLP (1) 2019: 953-962
[c339]
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  - conf/emnlp/LiGBKL19
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Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. EMNLP/IJCNLP (1) 2019: 3214-3224
[c338]
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  - conf/icse/ZhuHLHXZL19
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Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
Tools and benchmarks for automated log parsing. ICSE (SEIP) 2019: 121-130
[c337]
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  - conf/icse/GaoZD0ZLK19
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Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King:
Emerging app issue identification from user feedback: experience on WeChat. ICSE (SEIP) 2019: 279-288
[c336]
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  - conf/ijcai/SuZCKL19
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Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. IJCAI 2019: 3483-3489
[c335]
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  - conf/ijcai/GaoBCLK19
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Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King:
Difficulty Controllable Generation of Reading Comprehension Questions. IJCAI 2019: 4968-4974
[c334]
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  - conf/issre/0001GMLK19
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Tianyi Zhang, Cuiyun Gao, Lei Ma, Michael R. Lyu, Miryung Kim:
An Empirical Study of Common Challenges in Developing Deep Learning Applications. ISSRE 2019: 104-115
[c333]
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  - conf/issre/WangXZLW19
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Yaohui Wang, Hui Xu, Yangfan Zhou, Michael R. Lyu, Xin Wang:
Textout: Detecting Text-Layout Bugs in Mobile Apps via Visualization-Oriented Learning. ISSRE 2019: 239-249
[c332]
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  - conf/kbse/GaoZX0LK19
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Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. ASE 2019: 163-175
[c331]
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  - conf/kbse/LiuZHHZL19
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Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. ASE 2019: 863-873
[c330]
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  - conf/naacl/JiaoYKL19
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Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. NAACL-HLT (1) 2019: 397-406
[c329]
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  - conf/naacl/WangLKLS19
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Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi:
Microblog Hashtag Generation via Encoding Conversation Contexts. NAACL-HLT (1) 2019: 1624-1633
[c328]
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  - conf/naacl/LiYDWLT19
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Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. NAACL-HLT (1) 2019: 3566-3575
[i42]
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  - journals/corr/abs-1902-09145
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Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. CoRR abs/1902.09145 (2019)
[i41]
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  - journals/corr/abs-1903-07319
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. CoRR abs/1903.07319 (2019)
[i40]
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  - journals/corr/abs-1904-03100
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Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. CoRR abs/1904.03100 (2019)
[i39]
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  - journals/corr/abs-1904-04446
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Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR abs/1904.04446 (2019)
[i38]
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  - journals/corr/abs-1904-09117
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Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. CoRR abs/1904.09117 (2019)
[i37]
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  - journals/corr/abs-1905-07584
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Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi:
Microblog Hashtag Generation via Encoding Conversation Contexts. CoRR abs/1905.07584 (2019)
[i36]
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  - journals/corr/abs-1906-03889
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Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. CoRR abs/1906.03889 (2019)
[i35]
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Yifan Gao, Piji Li, Irwin King, Michael R. Lyu:
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. CoRR abs/1906.06893 (2019)
[i34]
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Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. CoRR abs/1907.01638 (2019)
[i33]
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  - journals/corr/abs-1909-00326
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Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. CoRR abs/1909.00326 (2019)
[i32]
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Jiazhen Gu, Huanlin Xu, Yangfan Zhou, Xin Wang, Hui Xu, Michael R. Lyu:
Detecting Deep Neural Network Defects with Data Flow Analysis. CoRR abs/1909.02190 (2019)
[i31]
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Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. CoRR abs/1910.00409 (2019)
[i30]
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Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. CoRR abs/1910.06036 (2019)
[i29]
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Wenxiang Jiao, Michael R. Lyu, Irwin King:
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition. CoRR abs/1910.08916 (2019)
[i28]
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Wenxiang Jiao, Irwin King, Michael R. Lyu:
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling. CoRR abs/1910.09362 (2019)
[i27]
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  - journals/corr/abs-1911-09075
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Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. CoRR abs/1911.09075 (2019)
[i26]
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Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. CoRR abs/1911.09450 (2019)
[i25]
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  - journals/corr/abs-1911-09877
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Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. CoRR abs/1911.09877 (2019)
2018
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Shenglin Zhao, Michael R. Lyu, Irwin King:
Point-of-Interest Recommendation in Location-Based Social Networks. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-13-1348-6, pp. 1-99
[j125]
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Shenglin Zhao, Irwin King, Michael R. Lyu:
Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation. Neural Process. Lett. 47(3): 975-992 (2018)
[j124]
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Hongyi Zhang, Xingyu Niu, Irwin King, Michael R. Lyu:
Overlapping community detection with preference and locality information: a non-negative matrix factorization approach. Soc. Netw. Anal. Min. 8(1): 43:1-43:14 (2018)
[j123]
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Pengfei Chen, Yong Qi, Xinyi Li, Di Hou, Michael Rung-Tsong Lyu:
ARF-Predictor: Effective Prediction of Aging-Related Failure Using Entropy. IEEE Trans. Dependable Secur. Comput. 15(4): 675-693 (2018)
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Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu:
Towards Automated Log Parsing for Large-Scale Log Data Analysis. IEEE Trans. Dependable Secur. Comput. 15(6): 931-944 (2018)
[j121]
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Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So:
Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. 29(4): 882-895 (2018)
[j120]
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Guanhong Tao, Zibin Zheng, Ziying Guo, Michael R. Lyu:
MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs. IEEE Trans. Reliab. 67(1): 355-369 (2018)
[j119]
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Jingwen Zhou, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu:
A Data Set for User Request Trace-Oriented Monitoring and its Applications. IEEE Trans. Serv. Comput. 11(4): 699-712 (2018)
[c327]
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  - conf/cikm/BaiCLKX18
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Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Neural Relational Topic Models for Scientific Article Analysis. CIKM 2018: 27-36
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Yuxin Su, Michael R. Lyu, Irwin King:
Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization. CIKM 2018: 1463-1472
[c325]
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Hui Xu, Yangfan Zhou, Yu Kang, Fengzhi Tu, Michael R. Lyu:
Manufacturing Resilient Bi-Opaque Predicates Against Symbolic Execution. DSN 2018: 666-677
[c324]
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  - conf/emnlp/LiTYLZ18
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Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. EMNLP 2018: 2897-2903
[c323]
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Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. EMNLP 2018: 3120-3131
[c322]
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Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Personalized Sequential Check-in Prediction: Beyond Geographical and Temporal Contexts. ICME 2018: 1-6
[c321]
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Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King:
Online app review analysis for identifying emerging issues. ICSE 2018: 48-58
[c320]
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Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang:
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. IJCAI 2018: 3040-3046
[c319]
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Jian Li, Yue Wang, Michael R. Lyu, Irwin King:
Code Completion with Neural Attention and Pointer Networks. IJCAI 2018: 4159-4165
[c318]
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Cuiyun Gao, Jichuan Zeng, Federica Sarro, Michael R. Lyu, Irwin King:
Exploring the effects of ad schemes on the performance cost of mobile phones. A-Mobile@ASE 2018: 13-18
[c317]
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Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu:
Characterizing the natural language descriptions in software logging statements. ASE 2018: 178-189
[c316]
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Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu:
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. NeurIPS 2018: 8430-8439
[c315]
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Shilin He, Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Identifying impactful service system problems via log analysis. ESEC/SIGSOFT FSE 2018: 60-70
[c314]
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Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, Michael R. Lyu, Irwin King:
INFAR: insight extraction from app reviews. ESEC/SIGSOFT FSE 2018: 904-907
[c313]
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Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King:
Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. UAI 2018: 937-946
[c312]
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Michael R. Lyu:
AI Techniques in Software Engineering Paradigm. ICPE 2018: 2
[r2]
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Hao Ma, Irwin King, Michael R. Lyu:
Social Recommendation in Dynamic Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
[i24]
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  - journals/corr/abs-1806-04356
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Pinjia He, Jieming Zhu, Pengcheng Xu, Zibin Zheng, Michael R. Lyu:
A Directed Acyclic Graph Approach to Online Log Parsing. CoRR abs/1806.04356 (2018)
[i23]
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  - journals/corr/abs-1806-10313
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Hui Xu, Yuxin Su, Zirui Zhao, Yangfan Zhou, Michael R. Lyu, Irwin King:
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation. CoRR abs/1806.10313 (2018)
[i22]
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Yifan Gao, Jianan Wang, Lidong Bing, Irwin King, Michael R. Lyu:
Difficulty Controllable Question Generation for Reading Comprehension. CoRR abs/1807.03586 (2018)
[i21]
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  - journals/corr/abs-1808-08575
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Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. CoRR abs/1808.08575 (2018)
[i20]
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  - journals/corr/abs-1809-02768
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Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. CoRR abs/1809.02768 (2018)
[i19]
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  - journals/corr/abs-1809-03664
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Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. CoRR abs/1809.03664 (2018)
[i18]
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  - journals/corr/abs-1810-10183
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Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. CoRR abs/1810.10183 (2018)
[i17]
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  - journals/corr/abs-1810-10895
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Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu:
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. CoRR abs/1810.10895 (2018)
[i16]
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  - journals/corr/abs-1811-03509
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Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
Tools and Benchmarks for Automated Log Parsing. CoRR abs/1811.03509 (2018)
2017
[b1]
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Yilei Zhang, Michael R. Lyu:
QoS Prediction in Cloud and Service Computing - Approaches and Applications. Springer Briefs in Computer Science, Springer 2017, ISBN 978-981-10-5277-4, pp. 1-122
[j118]
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Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization. IEEE Trans. Parallel Distributed Syst. 28(10): 2911-2924 (2017)
[j117]
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Ao Zhou, Shangguang Wang, Bo Cheng, Zibin Zheng, Fangchun Yang, Rong N. Chang, Michael R. Lyu, Rajkumar Buyya:
Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization. IEEE Trans. Serv. Comput. 10(6): 902-913 (2017)
[j116]
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Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng, Athman Bouguettaya, Michael R. Lyu:
Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems. IEEE Trans. Software Eng. 43(6): 556-579 (2017)
[c311]
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Xiaotian Yu, Michael R. Lyu, Irwin King:
CBRAP: Contextual Bandits with RAndom Projection. AAAI 2017: 2859-2866
[c310]
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Xingyu Niu, Hongyi Zhang, Michael R. Lyu, Irwin King:
From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach. ADMA 2017: 180-194
[c309]
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Hui Xu, Yangfan Zhou, Yu Kang, Michael R. Lyu:
Concolic Execution on Small-Size Binaries: Challenges and Empirical Study. DSN 2017: 181-188
[c308]
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Sheng Zhang, Shenglin Zhao, Mingxuan Yuan, Jia Zeng, Jianguo Yao, Michael R. Lyu, Irwin King:
Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method. SIGSPATIAL/GIS 2017: 29:1-29:10
[c307]
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Xiaotian Yu, Irwin King, Michael R. Lyu:
Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. ICDM 2017: 1147-1152
[c306]
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Xixian Chen, Michael R. Lyu, Irwin King:
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data. ICML 2017: 767-776
[c305]
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Shenglin Zhao, Irwin King, Michael R. Lyu:
Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation. ICONIP (5) 2017: 368-377
[c304]
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Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, Michael R. Lyu:
IntelliAd: assisting mobile app developers in measuring ad costs automatically. ICSE (Companion Volume) 2017: 253-255
[c303]
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Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
CARP: Context-Aware Reliability Prediction of Black-Box Web Services. ICWS 2017: 17-24
[c302]
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Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu:
Drain: An Online Log Parsing Approach with Fixed Depth Tree. ICWS 2017: 33-40
[c301]
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Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN 2017: 1-8
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Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu:
Software Defect Prediction via Convolutional Neural Network. QRS 2017: 318-328
[c299]
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Yuxin Su, Irwin King, Michael R. Lyu:
Learning to Rank Using Localized Geometric Mean Metrics. SIGIR 2017: 45-54
[c298]
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Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan:
Mining Business Opportunities from Location-based Social Networks. SIGIR 2017: 1037-1040
[c297]
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Xixian Chen, Irwin King, Michael R. Lyu:
FROSH: FasteR Online Sketching Hashing. UAI 2017
[c296]
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Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. WWW (Companion Volume) 2017: 153-162
[i15]
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Yuxin Su, Irwin King, Michael R. Lyu:
Learning to Rank Using Localized Geometric Mean Metrics. CoRR abs/1705.07563 (2017)
[i14]
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  - journals/corr/abs-1710-01139
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Hui Xu, Yangfan Zhou, Yu Kang, Michael R. Lyu:
On Secure and Usable Program Obfuscation: A Survey. CoRR abs/1710.01139 (2017)
[i13]
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  - journals/corr/abs-1711-06491
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Joachim de Curtò, Irene C. Zarza, Fernando De la Torre, Irwin King, Michael R. Lyu:
High-Resolution Deep Convolutional Generative Adversarial Networks. CoRR abs/1711.06491 (2017)
[i12]
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Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King:
Semantically Consistent Image Completion with Fine-grained Details. CoRR abs/1711.09345 (2017)
[i11]
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Jian Li, Yue Wang, Irwin King, Michael R. Lyu:
Code Completion with Neural Attention and Pointer Networks. CoRR abs/1711.09573 (2017)
[i10]
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Hui Xu, Zirui Zhao, Yangfan Zhou, Michael R. Lyu:
On Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs. CoRR abs/1712.01674 (2017)
2016
[j115]
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Hui Xu, Michael R. Lyu:
Assessing the Security Properties of Software Obfuscation. IEEE Secur. Priv. 14(5): 80-83 (2016)
[j114]
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Ao Zhou, Shangguang Wang, Zibin Zheng, Ching-Hsien Hsu, Michael R. Lyu, Fangchun Yang:
On Cloud Service Reliability Enhancement with Optimal Resource Usage. IEEE Trans. Cloud Comput. 4(4): 452-466 (2016)
[j113]
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Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. 8(1): 10:1-10:21 (2016)
[j112]
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Jianlong Xu, Zibin Zheng, Michael R. Lyu:
Web Service Personalized Quality of Service Prediction via Reputation-Based Matrix Factorization. IEEE Trans. Reliab. 65(1): 28-37 (2016)
[j111]
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Xinyu Wang, Jianke Zhu, Zibin Zheng, Wenjie Song, Yuanhong Shen, Michael R. Lyu:
A Spatial-Temporal QoS Prediction Approach for Time-aware Web Service Recommendation. ACM Trans. Web 10(1): 7:1-7:25 (2016)
[c295]
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Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King:
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. AAAI 2016: 315-322
[c294]
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Hui Xu, Yangfan Zhou, Michael R. Lyu:
N-version Obfuscation. CPSS@AsiaCCS 2016: 22-33
[c293]
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Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu:
An Evaluation Study on Log Parsing and Its Use in Log Mining. DSN 2016: 654-661
[c292]
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Shenglin Zhao, Michael R. Lyu, Irwin King:
Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation. ICONIP (3) 2016: 450-458
[c291]
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Qi Xie, Shenglin Zhao, Zibin Zheng, Jieming Zhu, Michael R. Lyu:
Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation. ICWS 2016: 204-211
[c290]
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Hongyi Zhang, Tong Zhao, Irwin King, Michael R. Lyu:
Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection. IJCAI 2016: 3938-3944
[c289]
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Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu:
Distributed Information-Theoretic Metric Learning in Apache Spark. IJCNN 2016: 3306-3313
[c288]
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Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu:
Online non-negative dictionary learning via moment information for sparse Poisson coding. IJCNN 2016: 5094-5101
[c287]
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  - conf/issre/ManGLJ16
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Yichuan Man, Cuiyun Gao, Michael R. Lyu, Jiuchun Jiang:
Experience Report: Understanding Cross-Platform App Issues from User Reviews. ISSRE 2016: 138-149
[c286]
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Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu:
Experience Report: System Log Analysis for Anomaly Detection. ISSRE 2016: 207-218
[c285]
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Yu Kang, Yangfan Zhou, Min Gao, Yixia Sun, Michael R. Lyu:
Experience Report: Detecting Poor-Responsive UI in Android Applications. ISSRE 2016: 490-501
[c284]
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Yu Kang, Yangfan Zhou, Hui Xu, Michael R. Lyu:
DiagDroid: Android performance diagnosis via anatomizing asynchronous executions. SIGSOFT FSE 2016: 410-421
[i9]
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Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation. CoRR abs/1606.05859 (2016)
[i8]
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Shenglin Zhao, Irwin King, Michael R. Lyu:
A Survey of Point-of-interest Recommendation in Location-based Social Networks. CoRR abs/1607.00647 (2016)
[i7]
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Cuiyun Gao, Hui Xu, Yichuan Man, Yangfan Zhou, Michael R. Lyu:
IntelliAd Understanding In-APP Ad Costs From Users Perspective. CoRR abs/1607.03575 (2016)
[i6]
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Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR abs/1611.03578 (2016)
2015
[j110]
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  - journals/chinaf/ZhengLW15
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Zibin Zheng, Michael Rung-Tsong Lyu, Huaimin Wang:
Service fault tolerance for highly reliable service-oriented systems: an overview. Sci. China Inf. Sci. 58(5): 1-12 (2015)
[j109]
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Tom Chao Zhou, Michael Rung-Tsong Lyu, Irwin King, Jie Lou:
Learning to suggest questions in social media. Knowl. Inf. Syst. 43(2): 389-416 (2015)
[j108]
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Baichuan Li, Rong-Hua Li, Irwin King, Michael R. Lyu, Jeffrey Xu Yu:
A topic-biased user reputation model in rating systems. Knowl. Inf. Syst. 44(3): 581-607 (2015)
[j107]
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Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Maximum margin semi-supervised learning with irrelevant data. Neural Networks 70: 90-102 (2015)
[j106]
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Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King:
Budget constrained non-monotonic feature selection. Neural Networks 71: 214-224 (2015)
[j105]
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  - journals/tc/ZhengL15
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Zibin Zheng, Michael R. Lyu:
Selecting an Optimal Fault Tolerance Strategy for Reliable Service-Oriented Systems with Local and Global Constraints. IEEE Trans. Computers 64(1): 219-232 (2015)
[j104]
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Ning Wang, Michael R. Lyu:
Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction. IEEE J. Biomed. Health Informatics 19(5): 1648-1659 (2015)
[j103]
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Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King:
Boosting Response Aware Model-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 27(8): 2064-2077 (2015)
[j102]
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Song Li, Yangfan Zhou, Lei Jiao, Xinya Yan, Xin Wang, Michael Rung-Tsong Lyu:
Towards Operational Cost Minimization in Hybrid Clouds for Dynamic Resource Provisioning with Delay-Aware Optimization. IEEE Trans. Serv. Comput. 8(3): 398-409 (2015)
[j101]
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Michael R. Lyu, Liang-Jie Zhang:
Guest Editorial: Recommendation Techniques for Services Computing and Cloud Computing. IEEE Trans. Serv. Comput. 8(3): 422-424 (2015)
[j100]
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Shangguang Wang, Zibin Zheng, Zhengping Wu, Michael R. Lyu, Fangchun Yang:
Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation Systems. IEEE Trans. Serv. Comput. 8(5): 755-767 (2015)
[c283]
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Hongyi Zhang, Irwin King, Michael R. Lyu:
Incorporating Implicit Link Preference Into Overlapping Community Detection. AAAI 2015: 396-402
[c282]
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Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So:
Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI 2015: 2666-2672
[c281]
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Yue Wang, Zibin Zheng, Michael R. Lyu:
Entropy-Based Service Selection with Uncertain QoS for Mobile Cloud Computing. CIC 2015: 252-259
[c280]
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Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Learning to Log: Helping Developers Make Informed Logging Decisions. ICSE (1) 2015: 415-425
[c279]
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Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. ICWS 2015: 241-248
[c278]
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Hongyi Zhang, Michael R. Lyu, Irwin King:
Exploiting k-Degree Locality to Improve Overlapping Community Detection. IJCAI 2015: 2394-2400
[c277]
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Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu:
Training-Efficient Feature Map for Shift-Invariant Kernels. IJCAI 2015: 3395-3401
[c276]
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Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu:
PAID: Prioritizing app issues for developers by tracking user reviews over versions. ISSRE 2015: 35-45
[c275]
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Hui Xu, Yangfan Zhou, Cuiyun Gao, Yu Kang, Michael R. Lyu:
SpyAware: Investigating the privacy leakage signatures in app execution traces. ISSRE 2015: 348-358
[c274]
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Shouyuan Chen, Yang Liu, Michael R. Lyu, Irwin King, Shengyu Zhang:
Fast Relative-Error Approximation Algorithm for Ridge Regression. UAI 2015: 201-210
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM 2015: 425-426
[i5]
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Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. CoRR abs/1502.06084 (2015)
[i4]
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Jieming Zhu, Zibin Zheng, Michael R. Lyu:
Context-Aware Reliability Prediction of Black-Box Services. CoRR abs/1503.00102 (2015)
[i3]
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Hui Xu, Yangfan Zhou, Michael R. Lyu:
N-Version Obfuscation: Impeding Software Tampering Replication with Program Diversity. CoRR abs/1506.03032 (2015)
[i2]
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Yu Kang, Yangfan Zhou, Hui Xu, Michael R. Lyu:
PersisDroid: Android Performance Diagnosis via Anatomizing Asynchronous Executions. CoRR abs/1512.07950 (2015)
2014
[j99]
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Jianlong Xu, Zibin Zheng, Michael R. Lyu:
CGA-based deadlock solving strategies towards vehicle sensing systems. EURASIP J. Wirel. Commun. Netw. 2014: 214 (2014)
[j98]
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Pei Fan, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu:
A topology-aware method for scientific application deployment on cloud. Int. J. Web Grid Serv. 10(4): 338-370 (2014)
[j97]
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Jian Wu, Liang Chen, Zibin Zheng, Michael R. Lyu, Zhaohui Wu:
Clustering Web services to facilitate service discovery. Knowl. Inf. Syst. 38(1): 207-229 (2014)
[j96]
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Liang Chen, Jian Wu, Zibin Zheng, Michael R. Lyu, Zhaohui Wu:
Modeling and exploiting tag relevance for Web service mining. Knowl. Inf. Syst. 39(1): 153-173 (2014)
[j95]
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Xi Chen, Zibin Zheng, Qi Yu, Michael R. Lyu:
Web Service Recommendation via Exploiting Location and QoS Information. IEEE Trans. Parallel Distributed Syst. 25(7): 1913-1924 (2014)
[j94]
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Pengfei Zheng, Yong Qi, Yangfan Zhou, Pengfei Chen, Jianfeng Zhan, Michael R. Lyu:
An Automatic Framework for Detecting and Characterizing Performance Degradation of Software Systems. IEEE Trans. Reliab. 63(4): 927-943 (2014)
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Zibin Zheng, Yilei Zhang, Michael R. Lyu:
Investigating QoS of Real-World Web Services. IEEE Trans. Serv. Comput. 7(1): 32-39 (2014)
[j92]
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Weiwei Qiu, Zibin Zheng, Xinyu Wang, Xiaohu Yang, Michael R. Lyu:
Reliability-Based Design Optimization for Cloud Migration. IEEE Trans. Serv. Comput. 7(2): 223-236 (2014)
[j91]
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Yilei Zhang, Zibin Zheng, Michael R. Lyu:
An Online Performance Prediction Framework for Service-Oriented Systems. IEEE Trans. Syst. Man Cybern. Syst. 44(9): 1169-1181 (2014)
[c272]
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Jingwen Zhou, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu:
Towards an Open Data Set for Trace-Oriented Monitoring. IEEE CLOUD 2014: 922-923
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Pengfei Zheng, Yangfan Zhou, Michael R. Lyu, Yong Qi:
Granger Causality-Aware Prediction and Diagnosis of Software Degradation. IEEE SCC 2014: 528-535
[c270]
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Jingwen Zhou, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu:
Trace Bench: An Open Data Set for Trace-Oriented Monitoring. CloudCom 2014: 519-526
[c269]
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Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation. ICDCS 2014: 318-327
[c268]
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Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Non-monotonic Feature Selection for Regression. ICONIP (2) 2014: 44-51
[c267]
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Song Li, Yangfan Zhou, Lei Jiao, Xinya Yan, Xin Wang, Michael R. Lyu:
Delay-Aware Cost Optimization for Dynamic Resource Provisioning in Hybrid Clouds. ICWS 2014: 169-176
[c266]
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Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu:
Location-Based Hierarchical Matrix Factorization for Web Service Recommendation. ICWS 2014: 297-304
[c265]
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Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King:
Exploiting homophily-based implicit social network to improve recommendation performance. IJCNN 2014: 2539-2547
[c264]
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Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen:
Combinatorial Pure Exploration of Multi-Armed Bandits. NIPS 2014: 379-387
[c263]
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Guang Ling, Michael R. Lyu, Irwin King:
Ratings meet reviews, a combined approach to recommend. RecSys 2014: 105-112
[c262]
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Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu:
Gradient boosting factorization machines. RecSys 2014: 265-272
[c261]
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Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu:
A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction. SOSE 2014: 290-295
[c260]
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Hui Xu, Yangfan Zhou, Michael R. Lyu:
Towards Continuous and Passive Authentication via Touch Biometrics: An Experimental Study on Smartphones. SOUPS 2014: 187-198
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Xi Chen, Zibin Zheng, Michael R. Lyu:
QoS-Aware Web Service Recommendation via Collaborative Filtering. Web Services Foundations 2014: 563-588
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Hao Ma, Irwin King, Michael R. Lyu:
Social Recommendation in Dynamic Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1923-1929
2013
[j90]
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Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael Rung-Tsong Lyu, Hua Cai, Gang Yin:
An online service-oriented performance profiling tool for cloud computing systems. Frontiers Comput. Sci. 7(3): 431-445 (2013)
[j89]
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Junjie Xiong, Yangfan Zhou, Michael R. Lyu, Evan F. Y. Young:
MDiag: Mobility-assisted diagnosis for wireless sensor networks. J. Netw. Comput. Appl. 36(1): 167-177 (2013)
[j88]
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Haiqin Yang, Michael R. Lyu, Irwin King:
Efficient online learning for multitask feature selection. ACM Trans. Knowl. Discov. Data 7(2): 6:1-6:27 (2013)
[j87]
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Zibin Zheng, Michael R. Lyu:
Personalized Reliability Prediction of Web Services. ACM Trans. Softw. Eng. Methodol. 22(2): 12:1-12:25 (2013)
[j86]
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Zibin Zheng, Xinmiao Wu, Yilei Zhang, Michael R. Lyu, Jianmin Wang:
QoS Ranking Prediction for Cloud Services. IEEE Trans. Parallel Distributed Syst. 24(6): 1213-1222 (2013)
[j85]
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Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael Rung-Tsong Lyu, Hua Cai:
Toward Fine-Grained, Unsupervised, Scalable Performance Diagnosis for Production Cloud Computing Systems. IEEE Trans. Parallel Distributed Syst. 24(6): 1245-1255 (2013)
[j84]
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Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization. IEEE Trans. Serv. Comput. 6(3): 289-299 (2013)
[j83]
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Huifeng Sun, Zibin Zheng, Junliang Chen, Michael R. Lyu:
Personalized Web Service Recommendation via Normal Recovery Collaborative Filtering. IEEE Trans. Serv. Comput. 6(4): 573-579 (2013)
[c259]
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Jieming Zhu, Zibin Zheng, Michael R. Lyu:
DR2: Dynamic Request Routing for Tolerating Latency Variability in Online Cloud Applications. IEEE CLOUD 2013: 589-596
[c258]
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Weiwei Qiu, Zibin Zheng, Xinyu Wang, Xiaohu Yang, Michael R. Lyu:
Reputation-Aware QoS Value Prediction of Web Services. IEEE SCC 2013: 41-48
[c257]
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  - conf/bigdata/ZhengZL13
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Zibin Zheng, Jieming Zhu, Michael R. Lyu:
Service-Generated Big Data and Big Data-as-a-Service: An Overview. BigData Congress 2013: 403-410
[c256]
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Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, Michael R. Lyu:
Sparse Poisson coding for high dimensional document clustering. IEEE BigData 2013: 512-517
[c255]
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Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, Michael R. Lyu:
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers. EMNLP 2013: 1521-1532
[c254]
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Shenglin Zhao, Irwin King, Michael R. Lyu:
Capturing Geographical Influence in POI Recommendations. ICONIP (2) 2013: 530-537
[c253]
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Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King:
Where You Like to Go Next: Successive Point-of-Interest Recommendation. IJCAI 2013: 2605-2611
[c252]
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Guang Ling, Irwin King, Michael R. Lyu:
A Unified Framework for Reputation Estimation in Online Rating Systems. IJCAI 2013: 2670-2676
[c251]
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Shouyuan Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Exact and Stable Recovery of Pairwise Interaction Tensors. NIPS 2013: 1691-1699
[c250]
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Qirun Zhang, Michael R. Lyu, Hao Yuan, Zhendong Su:
Fast algorithms for Dyck-CFL-reachability with applications to alias analysis. PLDI 2013: 435-446
[c249]
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Jieming Zhu, Zibin Zheng, Yangfan Zhou, Michael R. Lyu:
Scaling Service-Oriented Applications into Geo-distributed Clouds. SOSE 2013: 335-340
2012
[j82]
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Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael R. Lyu, Hua Cai:
Localizing root causes of performance anomalies in cloud computing systems by analyzing request trace logs. Sci. China Inf. Sci. 55(12): 2757-2773 (2012)
[j81]
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Pei Fan, Ji Wang, Zhenbang Chen, Zibin Zheng, Michael R. Lyu:
A spectral clustering-based optimal deployment method for scientific application in cloud computing. Int. J. Web Grid Serv. 8(1): 31-55 (2012)
[j80]
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Zhenjiang Lin, Michael R. Lyu, Irwin King:
MatchSim: a novel similarity measure based on maximum neighborhood matching. Knowl. Inf. Syst. 32(1): 141-166 (2012)
[j79]
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Hao Ma, Irwin King, Michael R. Lyu:
Mining Web Graphs for Recommendations. IEEE Trans. Knowl. Data Eng. 24(6): 1051-1064 (2012)
[j78]
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Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King:
Component Ranking for Fault-Tolerant Cloud Applications. IEEE Trans. Serv. Comput. 5(4): 540-550 (2012)
[j77]
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Hongbo Deng, Irwin King, Michael R. Lyu:
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. IEEE Trans. Syst. Man Cybern. Part B 42(1): 93-106 (2012)
[c248]
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Pei Fan, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu:
Topology-Aware Deployment of Scientific Applications in Cloud Computing. IEEE CLOUD 2012: 319-326
[c247]
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Yu Kang, Zibin Zheng, Michael R. Lyu:
A Latency-Aware Co-deployment Mechanism for Cloud-Based Services. IEEE CLOUD 2012: 630-637
[c246]
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Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. AAAI 2012: 17-23
[c245]
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Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu:
A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering. AAAI 2012: 164-170
[c244]
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Ning Wang, Michael R. Lyu:
Exploration of instantaneous amplitude and frequency features for epileptic seizure prediction. BIBE 2012: 292-297
[c243]
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Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang:
Do ads compete or collaborate?: designing click models with full relationship incorporated. CIKM 2012: 1839-1843
[c242]
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Priyanka Garg, Irwin King, Michael R. Lyu:
Information propagation in social rating networks. CIKM 2012: 2279-2282
[c241]
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  - conf/compsac/MiWCZLC12
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Haibo Mi, Huaimin Wang, Hua Cai, Yangfan Zhou, Michael R. Lyu, Zhenbang Chen:
P-Tracer: Path-Based Performance Profiling in Cloud Computing Systems. COMPSAC 2012: 509-514
[c240]
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Priyanka Garg, Irwin King, Michael R. Lyu:
Are You a Social Conformer? ICONIP (3) 2012: 694-701
[c239]
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Liang Chen, Zibin Zheng, Yipeng Feng, Jian Wu, Michael R. Lyu:
WSTRank: Ranking Tags to Facilitate Web Service Mining. ICSOC 2012: 574-581
[c238]
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Jieming Zhu, Yu Kang, Zibin Zheng, Michael R. Lyu:
WSP: A Network Coordinate Based Web Service Positioning Framework for Response Time Prediction. ICWS 2012: 90-97
[c237]
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Baichuan Li, Michael R. Lyu, Irwin King:
Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing? IJCNN 2012: 1-8
[c236]
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Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for collaborative filtering. IJCNN 2012: 1-8
[c235]
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  - conf/isorc/ZhuKZL12
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Jieming Zhu, Yu Kang, Zibin Zheng, Michael R. Lyu:
A Clustering-Based QoS Prediction Approach for Web Service Recommendation. ISORC Workshops 2012: 93-98
[c234]
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Yilei Zhang, Zibin Zheng, Michael R. Lyu:
Real-Time Performance Prediction for Cloud Components. ISORC Workshops 2012: 106-111
[c233]
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Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King:
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. JCDL 2012: 71-80
[c232]
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Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. UAI 2012: 501-510
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Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchuan Liu:
Online Protocol Verification in Wireless Sensor Networks via Non-intrusive Behavior Profiling. WASA 2012: 100-111
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Baichuan Li, Tan Jin, Michael R. Lyu, Irwin King, Barley Mak:
Analyzing and predicting question quality in community question answering services. WWW (Companion Volume) 2012: 775-782
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Tom Chao Zhou, Michael R. Lyu, Irwin King:
A classification-based approach to question routing in community question answering. WWW (Companion Volume) 2012: 783-790
[i1]
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Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. CoRR abs/1210.4869 (2012)
2011
[j76]
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Junjie Xiong, Michael R. Lyu, Kam-Wing Ng:
A Reliable and Efficient MAC Protocol for Underwater Acoustic Sensor Networks. Int. J. Distributed Sens. Networks 7(1) (2011)
[j75]
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Hao Ma, Irwin King, Michael R. Lyu:
Learning to recommend with explicit and implicit social relations. ACM Trans. Intell. Syst. Technol. 2(3): 29:1-29:19 (2011)
[j74]
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Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu:
Efficient Sparse Generalized Multiple Kernel Learning. IEEE Trans. Neural Networks 22(3): 433-446 (2011)
[j73]
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Hao Ma, Tom Chao Zhou, Michael R. Lyu, Irwin King:
Improving Recommender Systems by Incorporating Social Contextual Information. ACM Trans. Inf. Syst. 29(2): 9:1-9:23 (2011)
[j72]
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Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan:
Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching. ACM Trans. Multim. Comput. Commun. Appl. 7(1): 4:1-4:24 (2011)
[j71]
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Chin-Yu Huang, Michael R. Lyu:
Estimation and Analysis of Some Generalized Multiple Change-Point Software Reliability Models. IEEE Trans. Reliab. 60(2): 498-514 (2011)
[j70]
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Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
QoS-Aware Web Service Recommendation by Collaborative Filtering. IEEE Trans. Serv. Comput. 4(2): 140-152 (2011)
[c228]
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  - conf/IEEEcloud/KangZZL11
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Yu Kang, Yangfan Zhou, Zibin Zheng, Michael R. Lyu:
A User Experience-Based Cloud Service Redeployment Mechanism. IEEE CLOUD 2011: 227-234
[c227]
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Yilei Zhang, Zibin Zheng, Michael R. Lyu:
BFTCloud: A Byzantine Fault Tolerance Framework for Voluntary-Resource Cloud Computing. IEEE CLOUD 2011: 444-451
[c226]
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Pei Fan, Ji Wang, Zibin Zheng, Michael R. Lyu:
Toward Optimal Deployment of Communication-Intensive Cloud Applications. IEEE CLOUD 2011: 460-467
[c225]
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Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao:
Learning to Suggest Questions in Online Forums. AAAI 2011: 1298-1303
[c224]
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Xiaofeng Yu, Irwin King, Michael R. Lyu:
Towards a top-down and bottom-up bidirectional approach to joint information extraction. CIKM 2011: 847-856
[c223]
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Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu:
Can irrelevant data help semi-supervised learning, why and how? CIKM 2011: 937-946
[c222]
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Baichuan Li, Irwin King, Michael R. Lyu:
Question routing in community question answering: putting category in its place. CIKM 2011: 2041-2044
[c221]
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Baichuan Li, Xiance Si, Michael R. Lyu, Irwin King, Edward Y. Chang:
Question identification on twitter. CIKM 2011: 2477-2480
[c220]
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Qirun Zhang, Wujie Zheng, Michael R. Lyu:
Flow-Augmented Call Graph: A New Foundation for Taming API Complexity. FASE 2011: 386-400
[c219]
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Huifeng Sun, Zibin Zheng, Junliang Chen, Michael R. Lyu:
NRCF: A Novel Collaborative Filtering Method for Service Recommendation. ICWS 2011: 702-703
[c218]
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Yilei Zhang, Zibin Zheng, Michael R. Lyu:
WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services. ISSRE 2011: 210-219
[c217]
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Wujie Zheng, Hao Ma, Michael R. Lyu, Tao Xie, Irwin King:
Mining test oracles of web search engines. ASE 2011: 408-411
[c216]
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Hao Ma, Chao Liu, Irwin King, Michael R. Lyu:
Probabilistic factor models for web site recommendation. SIGIR 2011: 265-274
[c215]
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Wujie Zheng, Qirun Zhang, Michael R. Lyu:
Cross-library API recommendation using web search engines. SIGSOFT FSE 2011: 480-483
[c214]
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Yilei Zhang, Zibin Zheng, Michael R. Lyu:
Exploring Latent Features for Memory-Based QoS Prediction in Cloud Computing. SRDS 2011: 1-10
[c213]
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  - conf/trustcom/XiongNZL11
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Junjie Xiong, Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu:
RealProct: Reliable Protocol Conformance Testing with Real Nodes for Wireless Sensor Networks. TrustCom 2011: 572-581
[c212]
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Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King:
Recommender systems with social regularization. WSDM 2011: 287-296
[c211]
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Xin Xin, Michael R. Lyu, Irwin King:
CMAP: effective fusion of quality and relevance for multi-criteria recommendation. WSDM 2011: 455-464
2010
[j69]
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Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
A delay-aware reliable event reporting framework for wireless sensor-actuator networks. Ad Hoc Networks 8(7): 694-707 (2010)
[j68]
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  - journals/ese/ZhengL10
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Zibin Zheng, Michael R. Lyu:
An adaptive QoS-aware fault tolerance strategy for web services. Empir. Softw. Eng. 15(4): 323-345 (2010)
[j67]
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Zibin Zheng, Michael R. Lyu:
Optimal Fault Tolerance Strategy Selection for Web Services. Int. J. Web Serv. Res. 7(4): 21-40 (2010)
[j66]
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Ruilian Zhao, Michael R. Lyu, Yinghua Min:
Automatic string test data generation for detecting domain errors. Softw. Test. Verification Reliab. 20(3): 209-236 (2010)
[j65]
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Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King:
Bridging the Semantic Gap Between Image Contents and Tags. IEEE Trans. Multim. 12(5): 462-473 (2010)
[j64]
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Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin:
Discriminative semi-supervised feature selection via manifold regularization. IEEE Trans. Neural Networks 21(7): 1033-1047 (2010)
[c210]
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Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King:
Smooth Optimization for Effective Multiple Kernel Learning. AAAI 2010: 637-642
[c209]
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Hao Ma, Michael R. Lyu, Irwin King:
Diversifying Query Suggestion Results. AAAI 2010: 1399-1404
[c208]
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Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King:
UserRec: A User Recommendation Framework in Social Tagging Systems. AAAI 2010: 1486-1491
[c207]
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Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for multi-task feature selection. CIKM 2010: 1693-1696
[c206]
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Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchuan Liu:
Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining. ICDCS 2010: 784-794
[c205]
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Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu:
Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML 2010: 1175-1182
[c204]
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Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Online Learning for Group Lasso. ICML 2010: 1191-1198
[c203]
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  - conf/icse/ZhengL10
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Zibin Zheng, Michael R. Lyu:
Collaborative reliability prediction of service-oriented systems. ICSE (1) 2010: 35-44
[c202]
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  - conf/icse/ZhengL10a
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Zibin Zheng, Michael R. Lyu:
Component recommendation for cloud applications. RSSE@ICSE 2010: 48-49
[c201]
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Zibin Zheng, Yilei Zhang, Michael R. Lyu:
Distributed QoS Evaluation for Real-World Web Services. ICWS 2010: 83-90
[c200]
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Yilei Zhang, Zibin Zheng, Michael R. Lyu:
WSExpress: A QoS-aware Search Engine for Web Services. ICWS 2010: 91-98
[c199]
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Haiqin Yang, Irwin King, Michael R. Lyu:
Multi-task Learning for one-class classification. IJCNN 2010: 1-8
[c198]
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Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King:
FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications. ISSRE 2010: 398-407
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Wujie Zheng, Qirun Zhang, Michael R. Lyu, Tao Xie:
Random unit-test generation with MUT-aware sequence recommendation. ASE 2010: 293-296
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Junjie Xiong, Michael R. Lyu, Kam-Wing Ng:
Mitigate the Bottleneck of Underwater Acoustic Sensor Networks via Priority Scheduling. MSN 2010: 53-60
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Zibin Zheng, Yilei Zhang, Michael R. Lyu:
CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing. SRDS 2010: 184-193
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Irwin King, Michael R. Lyu, Hao Ma:
Introduction to social recommendation. WWW 2010: 1355-1356

2000 – 2009

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2009
[j63]
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Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009)
[j62]
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Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
On Sensor Network Reconfiguration for Downtime-Free System Migration. Mob. Networks Appl. 14(2): 241-252 (2009)
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Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu:
Arbitrary Norm Support Vector Machines. Neural Comput. 21(2): 560-582 (2009)
[j60]
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Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009)
[j59]
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Jianke Zhu, Michael R. Lyu, Thomas S. Huang:
A Fast 2D Shape Recovery Approach by Fusing Features and Appearance. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1210-1224 (2009)
[j58]
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Shing-Chi Cheung, Hui Lei, Michael R. Lyu:
Preface for the ICEBE 2007 special section. Serv. Oriented Comput. Appl. 3(2): 127 (2009)
[j57]
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Steven C. H. Hoi, Rong Jin, Michael R. Lyu:
Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval. IEEE Trans. Knowl. Data Eng. 21(9): 1233-1248 (2009)
[j56]
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Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu:
Semisupervised SVM batch mode active learning with applications to image retrieval. ACM Trans. Inf. Syst. 27(3): 16:1-16:29 (2009)
[j55]
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Haixuan Yang, Michael R. Lyu, Irwin King:
A Volume-Based Heat-Diffusion Classifier. IEEE Trans. Syst. Man Cybern. Part B 39(2): 417-430 (2009)
[j54]
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Edith C. H. Ngai, Jiangchuan Liu, Michael R. Lyu:
An Adaptive Delay-Minimized Route Design for Wireless Sensor-Actuator Networks. IEEE Trans. Veh. Technol. 58(9): 5083-5094 (2009)
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Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu:
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering. CIKM 2009: 767-776
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Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu:
A social recommendation framework based on multi-scale continuous conditional random fields. CIKM 2009: 1247-1256
[c191]
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Zhenjiang Lin, Michael R. Lyu, Irwin King:
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching. CIKM 2009: 1613-1616
[c190]
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Hongbo Deng, Irwin King, Michael R. Lyu:
Enhancing expertise retrieval using community-aware strategies. CIKM 2009: 1733-1736
[c189]
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Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu:
TagRec: Leveraging Tagging Wisdom for Recommendation. CSE (4) 2009: 194-199
[c188]
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Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Nonrigid shape recovery by Gaussian process regression. CVPR 2009: 1319-1326
[c187]
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Zibin Zheng, Michael R. Lyu:
A QoS-aware fault tolerant middleware for dependable service composition. DSN 2009: 239-248
[c186]
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Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King:
Non-monotonic feature selection. ICML 2009: 1145-1152
[c185]
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Wujie Zheng, Michael R. Lyu, Tao Xie:
Test selection for result inspection via mining predicate rules. ICSE Companion 2009: 219-222
[c184]
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Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
WSRec: A Collaborative Filtering Based Web Service Recommender System. ICWS 2009: 437-444
[c183]
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Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King:
Discriminative Semi-Supervised Feature Selection via Manifold Regularization. IJCAI 2009: 1303-1308
[c182]
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Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277
[c181]
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Hongbo Deng, Michael R. Lyu, Irwin King:
A generalized Co-HITS algorithm and its application to bipartite graphs. KDD 2009: 239-248
[c180]
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Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
Surviving Holes and Barriers in Geographic Data Reporting for Wireless Sensor Networks. MASS 2009: 50-59
[c179]
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Yangfan Zhou, Junjie Xiong, Michael R. Lyu, Jiangchuan Liu, Kam-Wing Ng:
Energy-efficient On-demand Active Contour Service for Sensor Networks. MASS 2009: 383-392
[c178]
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Xiaoqi Li, Wujie Zheng, Michael R. Lyu:
A Coalitional Game Model for Heat Diffusion Based Incentive Routing and Forwarding Scheme. Networking 2009: 664-675
[c177]
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Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu, Zhirong Yang:
Adaptive Regularization for Transductive Support Vector Machine. NIPS 2009: 2125-2133
[c176]
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Hao Ma, Michael R. Lyu, Irwin King:
Learning to recommend with trust and distrust relationships. RecSys 2009: 189-196
[c175]
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Hao Ma, Irwin King, Michael R. Lyu:
Learning to recommend with social trust ensemble. SIGIR 2009: 203-210
[c174]
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Hongbo Deng, Irwin King, Michael R. Lyu:
Entropy-biased models for query representation on the click graph. SIGIR 2009: 339-346
[c173]
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Hongbo Deng, Michael R. Lyu, Irwin King:
Effective latent space graph-based re-ranking model with global consistency. WSDM 2009: 212-221
2008
[j53]
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Ping Guo, Yunde Jia, Michael R. Lyu:
A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition. Pattern Recognit. 41(9): 2842-2854 (2008)
[j52]
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Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Face Annotation Using Transductive Kernel Fisher Discriminant. IEEE Trans. Multim. 10(1): 86-96 (2008)
[j51]
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Steven C. H. Hoi, Michael R. Lyu:
A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval. IEEE Trans. Multim. 10(4): 607-619 (2008)
[j50]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Trans. Neural Networks 19(2): 260-272 (2008)
[j49]
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Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Robust Regularized Kernel Regression. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1639-1644 (2008)
[c172]
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Pat Pik-Wah Chan, Michael R. Lyu:
Dynamic Web Service Composition: A New Approach in Building Reliable Web Service. AINA 2008: 20-25
[c171]
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Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King:
Mining social networks using heat diffusion processes for marketing candidates selection. CIKM 2008: 233-242
[c170]
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Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu:
Learning latent semantic relations from clickthrough data for query suggestion. CIKM 2008: 709-718
[c169]
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Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King:
SoRec: social recommendation using probabilistic matrix factorization. CIKM 2008: 931-940
[c168]
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Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King:
Semi-supervised text categorization by active search. CIKM 2008: 1517-1518
[c167]
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Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu:
Semi-supervised SVM batch mode active learning for image retrieval. CVPR 2008
[c166]
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Zibin Zheng, Michael R. Lyu:
WS-DREAM: A distributed reliability assessment Mechanism for Web Services. DSN 2008: 392-397
[c165]
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Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu:
An Effective Approach to 3D Deformable Surface Tracking. ECCV (3) 2008: 766-779
[c164]
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Xiaoqi Li, Michael R. Lyu:
A Novel Coalitional Game Model for Security Issues in Wireless Networks. GLOBECOM 2008: 1962-1967
[c163]
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Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
An Index-Based Sensor-Grouping Mechanism for Efficient Field-Coverage Wireless Sensor Networks. ICC 2008: 2409-2415
[c162]
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Hongbo Deng, Irwin King, Michael R. Lyu:
Formal Models for Expert Finding on DBLP Bibliography Data. ICDM 2008: 163-172
[c161]
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Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu:
Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282
[c160]
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Kaizhu Huang, Irwin King, Michael R. Lyu:
Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850
[c159]
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Ming-Guang Shi, Michael R. Lyu, Tat-Ming Lok:
Maximal-Robustness-Minimal-Fragility Controller: A Compromise between Robustness and Fragility of Biochemical Networks. ICIC (2) 2008: 1012-1021
[c158]
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Xinyu Chen, Michael R. Lyu, Ping Guo:
Voronoi-Based Sleeping Configuration in Wireless Sensor Networks with Location Error. ICNSC 2008: 1459-1464
[c157]
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Zibin Zheng, Michael R. Lyu:
A Distributed Replication Strategy Evaluation and Selection Framework for Fault Tolerant Web Services. ICWS 2008: 145-152
[c156]
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Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019
[c155]
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  - conf/issre/HincheyKLLMMPSW08
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Michael G. Hinchey, Karama Kanoun, Mikael Lindvall, Michael R. Lyu, Tiziana Margaria, Veena B. Mendiratta, Paul Pettersson, Norman F. Schneidewind, W. Eric Wong:
Anything You Want to Ask about Software Reliability Engineering. ISSRE 2008: 6
[c154]
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Zibin Zheng, Michael R. Lyu:
A QoS-Aware Middleware for Fault Tolerant Web Services. ISSRE 2008: 97-106
[c153]
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Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan:
Near-duplicate keyframe retrieval by nonrigid image matching. ACM Multimedia 2008: 41-50
[c152]
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Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu:
An Extended Level Method for Efficient Multiple Kernel Learning. NIPS 2008: 1825-1832
[c151]
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Haixuan Yang, Irwin King, Michael R. Lyu:
Learning with Consistency between Inductive Functions and Kernels. NIPS 2008: 1849-1856
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Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
On sensor network reconfiguration for downtime-free system migrations. QSHINE 2008: 24
2007
[j48]
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Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R. Lyu:
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training. Appl. Math. Comput. 185(2): 1026-1037 (2007)
[j47]
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Shaoming Li, Qian Yin, Ping Guo, Michael R. Lyu:
A hierarchical mixture model for software reliability prediction. Appl. Math. Comput. 185(2): 1120-1130 (2007)
[j46]
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Edith C. H. Ngai, Jiangchuan Liu, Michael R. Lyu:
An efficient intruder detection algorithm against sinkhole attacks in wireless sensor networks. Comput. Commun. 30(11-12): 2353-2364 (2007)
[j45]
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Zenglin Xu, Irwin King, Michael R. Lyu:
Feature Selection Based on Minimum Error minimax Probability Machine. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1279-1292 (2007)
[j44]
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Ping Guo, Hongzhai Li, Michael R. Lyu:
Blind Image Restoration by Combining Wavelet Transform and RBF Neural Network. Int. J. Wavelets Multiresolution Inf. Process. 5(1): 15-26 (2007)
[j43]
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Haixuan Yang, Irwin King, Michael R. Lyu:
The generalized dependency degree between attributes. J. Assoc. Inf. Sci. Technol. 58(14): 2280-2294 (2007)
[j42]
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Xi-Wen Zhang, Michael R. Lyu, Guozhong Dai:
Extraction and segmentation of tables from Chinese ink documents based on a matrix model. Pattern Recognit. 40(7): 1855-1867 (2007)
[j41]
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Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu:
An Assessment of Testing-Effort Dependent Software Reliability Growth Models. IEEE Trans. Reliab. 56(2): 198-211 (2007)
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Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling. CVPR 2007
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Jianke Zhu, Michael R. Lyu:
Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection. CVPR 2007
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Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
LOFT: A Latency-Oriented Fault Tolerant Transport Protocol for Wireless Sensor-Actuator Networks. GLOBECOM 2007: 1318-1323
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Steven C. H. Hoi, Michael R. Lyu:
A Multimodal and Multilevel Ranking Framework for Content-Based Video Retrieval. ICASSP (4) 2007: 1225-1228
[c145]
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Yuk Man Wong, Steven Chu-Hong Hoi, Michael R. Lyu:
An Empirical Study on Large-Scale Content-Based Image Retrieval. ICME 2007: 2206-2209
[c144]
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Steven C. H. Hoi, Rong Jin, Michael R. Lyu:
Learning nonparametric kernel matrices from pairwise constraints. ICML 2007: 361-368
[c143]
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Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850
[c142]
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Michael R. Lyu:
Software Reliability Engineering: A Roadmap. FOSE 2007: 153-170
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Pat Pik-Wah Chan, Michael R. Lyu, Miroslaw Malek:
ReliableWeb Services: Methodology, Experiment and Modeling. ICWS 2007: 679-686
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Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King:
Maximum Margin based Semi-supervised Spectral Kernel Learning. IJCNN 2007: 418-423
[c139]
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Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King:
Two-stage Multi-class AdaBoost for Facial Expression Recognition. IJCNN 2007: 3005-3010
[c138]
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Xia Cai, Michael R. Lyu:
Software Reliability Modeling with Test Coverage: Experimentation and Measurement with A Fault-Tolerant Software Project. ISSRE 2007: 17-26
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Edith C. H. Ngai, Jiangchuan Liu, Michael R. Lyu:
An Adaptive Delay-Minimized Route Design for Wireless Sensor-Actuator Networks. MASS 2007: 1-9
[c136]
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Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu:
Efficient Convex Relaxation for Transductive Support Vector Machine. NIPS 2007: 1641-1648
[c135]
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Muhammad Fahad, Aamer Nadeem, Michael R. Lyu:
A Survey of Fault Tolerant CORBA Systems. OTM Conferences (1) 2007: 505-521
[c134]
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Hao Ma, Irwin King, Michael R. Lyu:
Effective missing data prediction for collaborative filtering. SIGIR 2007: 39-46
[c133]
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Haixuan Yang, Irwin King, Michael R. Lyu:
DiffusionRank: a possible penicillin for web spamming. SIGIR 2007: 431-438
[c132]
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Yangfan Zhou, Edith C. H. Ngai, Michael R. Lyu, Jiangchuan Liu:
POWER-SPEED: A Power-Controlled Real-Time Data Transport Protocol for Wireless Sensor-Actuator Networks. WCNC 2007: 3736-3740
[c131]
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Zhenjiang Lin, Michael R. Lyu, Irwin King:
Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure. Web Intelligence 2007: 263-266
[c130]
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Zenglin Xu, Irwin King, Michael R. Lyu:
Web page classification with heterogeneous data fusion. WWW 2007: 1171-1172
2006
[j40]
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Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok:
Nonnegative independent component analysis based on minimizing mutual information technique. Neurocomputing 69(7-9): 878-883 (2006)
[j39]
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Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu:
A novel adaptive sequential niche technique for multimodal function optimization. Neurocomputing 69(16-18): 2396-2401 (2006)
[j38]
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Fei Han, Xu-Qin Li, Michael R. Lyu, Tat-Ming Lok:
A modified learning algorithm incorporating additional functional constraints into neural networks. Int. J. Pattern Recognit. Artif. Intell. 20(2): 129-142 (2006)
[j37]
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Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu:
Collaborative image retrieval via regularized metric learning. Multim. Syst. 12(1): 34-44 (2006)
[j36]
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Mario Garzia, John P. Hudepohl, Will Snipes, Michael R. Lyu, John D. Musa, Carol S. Smidts, Laurie A. Williams:
How should software reliability engineering (SRE) be taught? ACM SIGSOFT Softw. Eng. Notes 31(4): 1-5 (2006)
[j35]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Eng. 53(5): 821-831 (2006)
[j34]
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Steven C. H. Hoi, Michael R. Lyu, Rong Jin:
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval. IEEE Trans. Knowl. Data Eng. 18(4): 509-524 (2006)
[j33]
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Swapna S. Gokhale, Michael R. Lyu, Kishor S. Trivedi:
Incorporating fault debugging activities into software reliability models: a simulation approach. IEEE Trans. Reliab. 55(2): 281-292 (2006)
[j32]
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Xi-Wen Zhang, Jiqiang Song, Guozhong Dai, Michael R. Lyu:
Extraction of Line Segments and Circular Arcs From Freehand Strokes Based on Segmental Homogeneity Features. IEEE Trans. Syst. Man Cybern. Part B 36(2): 300-311 (2006)
[j31]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Imbalanced learning with a biased minimax probability machine. IEEE Trans. Syst. Man Cybern. Part B 36(4): 913-923 (2006)
[c129]
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Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma:
Learning Distance Metrics with Contextual Constraints for Image Retrieval. CVPR (2) 2006: 2072-2078
[c128]
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Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality. ECCV (1) 2006: 186-197
[c127]
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Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu:
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering. FSKD 2006: 582-585
[c126]
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Edith C. H. Ngai, Jiangchuan Liu, Michael R. Lyu:
On the Intruder Detection for Sinkhole Attack in Wireless Sensor Networks. ICC 2006: 3383-3389
[c125]
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Sheng-Bo Guo, Michael R. Lyu, Tat-Ming Lok:
Gene Selection Based on Mutual Information for the Classification of Multi-class Cancer. ICIC (3) 2006: 454-463
[c124]
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Shi Lu, Michael R. Lyu:
Constructing Robust and Resilient Framework for Cooperative Video Streaming. ICME 2006: 917-920
[c123]
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Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu:
Batch mode active learning and its application to medical image classification. ICML 2006: 417-424
[c122]
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Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok:
Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification. ICPR (2) 2006: 1122-1125
[c121]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627
[c120]
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Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive Random Graph Ranking on the Web. IJCNN 2006: 1825-1832
[c119]
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Pat Pik-Wah Chan, Michael R. Lyu, Miroslaw Malek:
Making Services Fault Tolerant. ISAS 2006: 43-61
[c118]
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Fei Han, Tat-Ming Lok, Michael R. Lyu:
A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine. ISNN (1) 2006: 631-636
[c117]
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Chun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok:
Nonlinear Blind Source Separation Using Hybrid Neural Networks. ISNN (1) 2006: 1165-1170
[c116]
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Yangfan Zhou, Haixuan Yang, Michael R. Lyu, Edith C. H. Ngai:
A point-distribution index and its application to sensor-grouping in wireless sensor networks. IWCMC 2006: 1171-1176
[c115]
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Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang:
Learning the unified kernel machines for classification. KDD 2006: 187-196
[c114]
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Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
Reliable Reporting of Delay-Sensitive Events in Wireless Sensor-Actuator Networks. MASS 2006: 101-108
[c113]
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Aamer Nadeem, Michael R. Lyu:
A Framework for Inheritance Testing from VDM++ Specifications. PRDC 2006: 81-88
[c112]
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Edith C. H. Ngai, Michael R. Lyu:
An Authentication Service Based on Trust and Clustering in Wireless Ad Hoc Networks: Description and Security Evaluation. SUTC (1) 2006: 94-103
[c111]
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Albert H. T. Lam, Kevin C. H. Chow, Edward Hon-Hei Yau, Michael R. Lyu:
ART: augmented reality table for interactive trading card game. VRCIA 2006: 357-360
[c110]
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Zhenjiang Lin, Irwin King, Michael R. Lyu:
PageSim: A Novel Link-Based Similarity Measure for the World Wide Web. Web Intelligence 2006: 687-693
[c109]
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Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Sourav S. Bhowmick, Michael R. Lyu, Wei-Ying Ma:
Time-dependent semantic similarity measure of queries using historical click-through data. WWW 2006: 543-552
[c108]
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Steven C. H. Hoi, Rong Jin, Michael R. Lyu:
Large-scale text categorization by batch mode active learning. WWW 2006: 633-642
[c107]
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Zhenjiang Lin, Michael R. Lyu, Irwin King:
PageSim: a novel link-based measure of web page aimilarity. WWW 2006: 1019-1020
2005
[j30]
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  - journals/jss/LoHCKL05
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Jung-Hua Lo, Chin-Yu Huang, Ing-Yi Chen, Sy-Yen Kuo, Michael R. Lyu:
Reliability assessment and sensitivity analysis of software reliability growth modeling based on software module structure. J. Syst. Softw. 76(1): 3-13 (2005)
[j29]
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Jiqiang Song, Michael R. Lyu:
A Hough transform based line recognition method utilizing both parameter space and image space. Pattern Recognit. 38(4): 539-552 (2005)
[j28]
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Xia Cai, Michael R. Lyu:
The effect of code coverage on fault detection under different testing profiles. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-7 (2005)
[j27]
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Michael R. Lyu, Jiqiang Song, Min Cai:
A comprehensive method for multilingual video text detection, localization, and extraction. IEEE Trans. Circuits Syst. Video Technol. 15(2): 243-255 (2005)
[j26]
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Pat Pik-Wah Chan, Michael R. Lyu, Roland T. Chin:
A novel scheme for hybrid digital video watermarking: approach, evaluation and experimentation. IEEE Trans. Circuits Syst. Video Technol. 15(12): 1638-1649 (2005)
[j25]
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Xinyu Chen, Michael R. Lyu:
Reliability analysis for various communication schemes in wireless CORBA. IEEE Trans. Reliab. 54(2): 232-242 (2005)
[j24]
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Chin-Yu Huang, Michael R. Lyu:
Optimal release time for software systems considering cost, testing-effort, and test efficiency. IEEE Trans. Reliab. 54(4): 583-591 (2005)
[j23]
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Chin-Yu Huang, Michael R. Lyu:
Optimal testing resource allocation, and sensitivity analysis in software development. IEEE Trans. Reliab. 54(4): 592-603 (2005)
[j22]
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Swapna S. Gokhale, Michael R. Lyu:
A Simulation Approach to Structure-Based Software Reliability Analysis. IEEE Trans. Software Eng. 31(8): 643-656 (2005)
[j21]
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Jiqiang Song, Zuo Li, Michael R. Lyu, Shijie Cai:
Recognition of merged characters based on forepart prediction, necessity-sufficiency matching, and character-adaptive masking. IEEE Trans. Syst. Man Cybern. Part B 35(1): 2-11 (2005)
[c106]
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Xia Cai, Michael R. Lyu:
The effect of code coverage on fault detection under different testing profiles. A-MOST 2005
[c105]
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  - conf/clef/HoiZL05
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Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu:
CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval. CLEF 2005: 602-611
[c104]
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  - electronic edition @ ceur-ws.org (open access)
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Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu:
CUHK Experiments with ImageCLEF 2005. CLEF (Working Notes) 2005
[c103]
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Steven C. H. Hoi, Michael R. Lyu:
A Semi-Supervised Active Learning Framework for Image Retrieval. CVPR (2) 2005: 302-309
[c102]
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  - conf/fskd/HeZLL05
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Xing-Jian He, Yue Zhang, Tat-Ming Lok, Michael R. Lyu:
A New Feature of Uniformity of Image Texture Directions Coinciding with the Human Eyes Perception. FSKD (2) 2005: 727-730
[c101]
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Pat Pik-Wah Chan, Michael R. Lyu:
Digital Video Watermarking with a Genetic Algorithm. ICDAT 2005: 139-154
[c100]
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Steven C. H. Hoi, Michael R. Lyu, Rong Jin:
Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval. ICDE Workshops 2005: 1177
[c99]
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Xu-Qin Li, Fei Han, Tat-Ming Lok, Michael R. Lyu, Guang-Bin Huang:
Improvements to the Conventional Layer-by-Layer BP Algorithm. ICIC (2) 2005: 189-198
[c98]
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Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang:
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering. ICIC (1) 2005: 717-726
[c97]
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  - conf/issre/ZhouL05
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Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu, Hui Wang:
PORT: A Price-Oriented Reliable Transport Protocol for Wireless Sensor Networks. ISSRE 2005: 117-126
[c96]
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Xia Cai, Michael R. Lyu, Mladen A. Vouk:
An Experimental Evaluation on Reliability Features of N-Version Programming. ISSRE 2005: 161-170
[c95]
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Fei Xing, Ping Guo, Michael R. Lyu:
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine. ISSRE 2005: 213-222
[c94]
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Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu:
On setting up energy-efficient paths with transmitter power control in wireless sensor networks. MASS 2005
[c93]
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Shi Lu, Michael R. Lyu, Irwin King:
Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns. MMM 2005: 60-67
[c92]
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Yanqin Tian, Ping Guo, Michael R. Lyu:
Comparative Studies on Feature Extraction Methods for Multispectral Remote Sensing Image Classification. SMC 2005: 1275-1279
[c91]
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Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive ranking: a novel page ranking approach by estimating the web structure. WWW (Special interest tracks and posters) 2005: 944-945
2004
[j20]
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Michael R. Lyu, Xinyu Chen, Tsz Yeung Wong:
Design and Evaluation of a Fault-Tolerant Mobile-Agent System. IEEE Intell. Syst. 19(5): 32-38 (2004)
[j19]
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Ping Guo, Michael R. Lyu:
A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data. Neurocomputing 56: 101-121 (2004)
[j18]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. 5: 1253-1286 (2004)
[j17]
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Jiqiang Song, Michael R. Lyu, Shijie Cai:
Effective Multiresolution Arc Segmentation: Algorithms and Performance Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1491-1506 (2004)
[j16]
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Xi-Wen Zhang, Jiqiang Song, Michael R. Lyu, Shijie Cai:
Extraction of karyocytes and their components from microscopic bone marrow images based on regional color features. Pattern Recognit. 37(2): 351-361 (2004)
[j15]
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Swapna S. Gokhale, Michael R. Lyu, Kishor S. Trivedi:
Analysis of Software Fault Removal Policies Using a Non-Homogeneous Continuous Time Markov Chain. Softw. Qual. J. 12(3): 211-230 (2004)
[c90]
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  - conf/compsac/HuangLKLS04
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Chin-Yu Huang, Chu-Ti Lin, Sy-Yen Kuo, Michael R. Lyu, Chuan-Ching Sue:
Software Reliability Growth Models Incorporating Fault Dependency with Various Debugging Time Lags. COMPSAC 2004: 186-191
[c89]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) 2004: 558-563
[c88]
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Woodas W. K. Lai, Kam-Wing Ng, Michael R. Lyu:
Integrating Trust in Grid Computing Systems. GCC 2004: 887-890
[c87]
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Edith C. H. Ngai, Michael R. Lyu:
Trust- and Clustering-Based Authentication Services in Mobile Ad Hoc Networks. ICDCS Workshops 2004: 582-587
[c86]
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Steven Chu-Hong Hoi, Michael R. Lyu:
Robust face recognition using minimax probability machine. ICME 2004: 1175-1178
[c85]
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Shi Lu, Irwin King, Michael R. Lyu:
Video summarization by video structure analysis and graph optimization. ICME 2004: 1959-1962
[c84]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning large margin classifiers locally and globally. ICML 2004
[c83]
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  - conf/iconip/YangHCKL04
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Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu:
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265
[c82]
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Steven Chu-Hong Hoi, Michael R. Lyu:
Group-based Relevance Feedback with Support Vector Machine Ensembles. ICPR (3) 2004: 874-877
[c81]
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Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004
[c80]
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Shi Lu, Michael R. Lyu, Irwin King:
Video summarization by spatial-temporal graph optimization. ISCAS (2) 2004: 197-200
[c79]
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Xia Cai, Michael R. Lyu:
An Empirical Study on Reliability Modeling for Diverse Software Systems. ISSRE 2004: 125-136
[c78]
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Steven Chu-Hong Hoi, Michael R. Lyu:
A novel log-based relevance feedback technique in content-based image retrieval. ACM Multimedia 2004: 24-31
[c77]
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Chin-Yu Huang, Jung-Hua Lo, Sy-Yen Kuo, Michael R. Lyu:
Optimal Allocation of Testing-Resource Considering Cost, Reliability, and Testing-Effort. PRDC 2004: 103-112
[c76]
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Xinyu Chen, Michael R. Lyu:
Expected-Reliability Analysis for Wireless CORBA with Imperfect Components. PRDC 2004: 207-215
[c75]
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Yizhou Lu, Benyu Zhang, Wensi Xi, Zheng Chen, Yi Liu, Michael R. Lyu, Wei-Ying Ma:
The powerrank web link analysis algorithm. WWW (Alternate Track Papers & Posters) 2004: 254-255
[c74]
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Yi Liu, Benyu Zhang, Zheng Chen, Michael R. Lyu, Wei-Ying Ma:
Affinity rank: a new scheme for efficient web search. WWW (Alternate Track Papers & Posters) 2004: 338-339
[c73]
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Pat Pik-Wah Chan, Michael R. Lyu, Roland T. Chin:
Copyright protection on the web: a hybrid digital video watermarking scheme. WWW (Alternate Track Papers & Posters) 2004: 354-355
[c72]
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Steven Chu-Hong Hoi, Michael R. Lyu:
Web image learning for searching semantic concepts in image databases. WWW (Alternate Track Papers & Posters) 2004: 406-407
2003
[j14]
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Chin-Yu Huang, Michael R. Lyu, Sy-Yen Kuo:
A Unified Scheme of Some Nonhomogenous Poisson Process Models for Software Reliability Estimation. IEEE Trans. Software Eng. 29(3): 261-269 (2003)
[j13]
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Ping Guo, Michael R. Lyu, C. L. Philip Chen:
Regularization parameter estimation for feedforward neural networks. IEEE Trans. Syst. Man Cybern. Part B 33(1): 35-44 (2003)
[c71]
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Chang-Ai Sun, Jiannong Cao, Maozhong Jin, Chao Lin, Michael R. Lyu:
Extendable and Interchangeable Architecture Description of Distributed Systems Using UML and XML. APPT 2003: 536-545
[c70]
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Ruilian Zhao, Michael R. Lyu, Yinghua Min:
Domain Testing Based on Character String Predicate. Asian Test Symposium 2003: 96-101
[c69]
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Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin King:
A Face Processing System Based on Committee Machine: The Approach and Experimental Results. CAIP 2003: 614-622
[c68]
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Steven Chu-Hong Hoi, Wei Wang, Michael R. Lyu:
A Novel Scheme for Video Similarity Detection. CIVR 2003: 373-382
[c67]
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Jung-Hua Lo, Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu:
Sensitivity Analysis of Software Reliability for Component-Based Software Applications. COMPSAC 2003: 500-505
[c66]
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Kaizhu Huang, Irwin King, Michael R. Lyu:
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122
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Jiqiang Song, Min Cai, Michael R. Lyu:
A robust statistic method for classifying color polarity of video text. ICASSP (3) 2003: 581-584
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Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machine. ICASSP (2) 2003: 837-840
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Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machines: dynamic vs. static structures. ICIAP 2003: 121-126
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Pat Pik-Wah Chan, Michael R. Lyu:
A DWT-Based Digital Video Watermarking Scheme with Error Correcting Code. ICICS 2003: 202-213
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Wei Wang, Michael R. Lyu:
Automatic generation of dubbing video slides for mobile wireless environment. ICME 2003: 265-268
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Jiqiang Song, Min Cai, Michael R. Lyu:
A robust statistic method for classifying color polarity of video text. ICME 2003: 385-388
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Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machine. ICME 2003: 425-428
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Jiqiang Song, Michael R. Lyu, Jenq-Neng Hwang, Min Cai:
PVCAIS: a personal videoconference archive indexing system. ICME 2003: 673-676
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Xinyu Chen, Michael R. Lyu:
Message Logging and Recovery in Wireless CORBA Using Access Bridge. ISADS 2003: 107-114
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Ruilian Zhao, Michael R. Lyu, Yinghua Min:
A New Software Testing Approach Based on Domain Analysis of Specifications and Programs. ISSRE 2003: 60-70
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Michael R. Lyu, Zubin Huang, Sam K. S. Sze, Xia Cai:
An Empirical Study on Testing and Fault Tolerance for Software Reliability Engineering. ISSRE 2003: 119-132
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Michael R. Lyu, Jerome Yen, Edward Yau, Sam K. S. Sze:
A wireless handheld multi-modal digital video library client system. Multimedia Information Retrieval 2003: 231-238
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Ruilian Zhao, Michael R. Lyu:
Character String Predicate Based Automatic Software Test Data Generation. QSIC 2003: 255-262
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Xinyu Chen, Michael R. Lyu:
Performance and Effectiveness Analysis of Checkpointing in Mobile Environments. SRDS 2003: 131-140
[c51]
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Sam K. S. Sze, Michael R. Lyu, Henry K. P. Choi, Edward Yau:
A Wireless Client for Accessing Multimodal Digital Video Library Systems. WWW (Posters) 2003
2002
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Massimo Marchiori, Mary Ellen Zurko, Michael R. Lyu:
Editorial. Comput. Networks 39(5): 469-471 (2002)
[j11]
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Xia Cai, Michael R. Lyu, Kam-Fai Wong:
Component-Based Embedded Software Engineering: Development Framework, Quality Assurance and a Generic Assessment Environment. Int. J. Softw. Eng. Knowl. Eng. 12(2): 107-133 (2002)
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Ping Guo, C. L. Philip Chen, Michael R. Lyu:
Cluster number selection for a small set of samples using the Bayesian Ying-Yang model. IEEE Trans. Neural Networks 13(3): 757-763 (2002)
[j9]
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Michael R. Lyu, Sampath Rangarajan, Aad P. A. van Moorsel:
Optimal allocation of test resources for software reliability growth modeling in software development. IEEE Trans. Reliab. 51(2): 183-192 (2002)
[c50]
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Jung-Hua Lo, Sy-Yen Kuo, Michael R. Lyu, Chin-Yu Huang:
Optimal Resource Allocation and Reliability Analysis for Component-Based Software Applications. COMPSAC 2002: 7-12
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Edith C. H. Ngai, Pat Pik-Wah Chan, Edward Yau, Michael R. Lyu:
XVIP: An XML-Based Video Information Processing System. COMPSAC 2002: 173-178
[c48]
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Michael R. Lyu, Jiqiang Song, Min Cai:
A new approach for video text detection. ICIP (1) 2002: 117-120
[c47]
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Jiqiang Song, Min Cai, Michael R. Lyu, Shijie Cai:
A New Approach for Line Recognition in Large-size Images Using Hough Transform. ICPR (1) 2002: 33-36
[c46]
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Jiqiang Song, Min Cai, Michael R. Lyu, Shijie Cai:
Graphics Recognition from Binary Images: One Step or Two Steps. ICPR (3) 2002: 135-138
[c45]
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Jiqiang Song, Min Cai, Michael R. Lyu:
Edge Color Distribution Transform: An Efficient Tool for ObjectDetection in Images. ICPR (1) 2002: 608-612
[c44]
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Chin-Yu Huang, Jung-Hua Lo, Sy-Yen Kuo, Michael R. Lyu:
Optimal Allocation of Testing Resources for Modular Software Systems. ISSRE 2002: 129-138
[c43]
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Michael R. Lyu, Edward Yau, Sam K. S. Sze:
A multilingual, multimodal digital video library system. JCDL 2002: 145-153
2001
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Ronggong Song, Michael R. Lyu:
Analysis of privacy and non-repudiation on pay-TV systems. IEEE Trans. Consumer Electron. 47(4): 729-733 (2001)
[j7]
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Mei-Hwa Chen, Michael R. Lyu, W. Eric Wong:
Effect of code coverage on software reliability measurement. IEEE Trans. Reliab. 50(2): 165-170 (2001)
[j6]
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Sy-Yen Kuo, Chin-Yu Huang, Michael R. Lyu:
Framework for modeling software reliability, using various testing-efforts and fault-detection rates. IEEE Trans. Reliab. 50(3): 310-320 (2001)
[c42]
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Jacky C. K. Ma, Michael R. Lyu:
Design and Implementation of XML-Based Digital Video Library System. International Conference on Internet Computing (1) 2001: 371-374
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Wing Hang Cheung, Michael R. Lyu, Kam-Wing Ng:
Tunneling Across Firewalls by using XML and Servlets: An Experiment on CORBA. International Conference on Internet Computing (1) 2001: 379-385
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Wing Hang Cheung, Michael R. Lyu, Kam-Wing Ng:
A Scalable Mediator System beyond Firewalls using CORBA, XML and Java Servlet. ISAS-SCI (1) 2001: 360-365
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Wing Hang Cheung, Michael R. Lyu, Kam-Wing Ng:
Integrating digital libraries by CORBA, XML and Servlet. JCDL 2001: 472
[e3]
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Vincent Y. Shen, Nobuo Saito, Michael R. Lyu, Mary Ellen Zurko:
Proceedings of the Tenth International World Wide Web Conference, WWW 10, Hong Kong, China, May 1-5, 2001. ACM 2001, ISBN 1-58113-348-0 [contents]
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Vincent Y. Shen, Nobuo Saito, Michael R. Lyu, Mary Ellen Zurko:
Poster Proceedings of the Tenth International World Wide Web Conference, WWW 10, Hong Kong, China, May 1-5, 2001. 2001 [contents]
2000
[c38]
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Anthony H. W. Chan, Tsz Yeung Wong, Caris K. M. Wong, Michael R. Lyu:
SIAS: a secure shopping information agent system. Agents 2000: 257-258
[c37]
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Ping Guo, Michael R. Lyu:
Software Quality Prediction Using Mixture Models with EM Algorithm. APAQS 2000: 69-80
[c36]
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Xia Cai, Michael R. Lyu, Kam-Fai Wong, Roy Ko:
Component-based software engineering: technologies, development frameworks, and quality assurance schemes. APSEC 2000: 372-
[c35]
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Michael R. Lyu, Lorrien K. Y. Lau:
Firewall Security: Policies, Testing and Performance Evaluation. COMPSAC 2000: 116-121
[c34]
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Michael R. Lyu:
A Phase-Based Approach to Creating Highly Reliable Software. COMPSAC 2000: 276-280
[c33]
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Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu:
Effort-Index-Based Software Reliability Growth Models and Performance Assessment. COMPSAC 2000: 454-459
[c32]
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Chin-Yu Huang, Sy-Yen Kuo, Jung-Hua Lo, Michael R. Lyu:
Quantitative Software Reliability Modeling from Testing to Operation. ISSRE 2000: 72-83
[c31]
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Sam K. S. Sze, Michael R. Lyu:
ATACOBOL: A COBOL Test Coverage Analysis Tool and Its Applications. ISSRE 2000: 327-335
[c30]
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Anthony H. W. Chan, Caris K. M. Wong, Tsz Yeung Wong, Michael R. Lyu:
Design, Implementation, and Experimentation on Mobile Agent Security for Electronic Commerce Applications. PDPTA 2000
[c29]
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Anthony H. W. Chan, Caris K. M. Wong, Tsz Yeung Wong, Michael R. Lyu:
Securing Mobile Agents for Electronic Commerce: An Experiment. SEC 2000: 471-480

1990 – 1999

see FAQ

What is the meaning of the colors in the publication lists?

1999
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Gang Xing, Michael R. Lyu:
Testing, Reliability, and Interoperability Issues in the CORBA Programming Paradigm. APSEC 1999: 530-537
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Anthony H. W. Chan, Michael R. Lyu:
Security Modeling and Evaluation for the Mobile Code Paradigm. ASIAN 1999: 371-372
[c26]
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Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu:
Optimal Software Release Policy Based on Cost and Reliability with Testing Efficiency. COMPSAC 1999: 468-473
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Chin-Yu Huang, Jung-Hua Lo, Sy-Yen Kuo, Michael R. Lyu:
Software reliability modeling and cost estimation incorporating testing-effort and efficiency. ISSRE 1999: 62-72
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Michael R. Lyu:
Guest Editor's Introduction to the Special Issue on Web Technologies. IEEE Trans. Knowl. Data Eng. 11(4): 505-508 (1999)
1998
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Michael R. Lyu:
Reliability-oriented software engineering: design, testing, and evaluation techniques. IEE Proc. Softw. 145(6): 191-197 (1998)
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Michael R. Lyu:
Keynote Speech: Design Testing and Evaluation Techniques for Software Reliability Engineering. EUROMICRO 1998
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Norman F. Schneidewind, Jean-Claude Laprie, Allen P. Nikora, Michael R. Lyu, John D. Musa, Bill Everett:
Panel: Issues in the next generation of dependability standards. ISSRE 1998: 101-104
[c22]
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Swapna S. Gokhale, Michael R. Lyu, Kishor S. Trivedi:
Reliability simulation of component-based software systems. ISSRE 1998: 192-201
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Swapna S. Gokhale, Michael R. Lyu, Kishor S. Trivedi:
Software reliability analysis incorporating fault detection and debugging activities. ISSRE 1998: 202-211
1997
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Tsu-Wei Chen, Paul Krzyzanowski, Michael R. Lyu, Cormac J. Sreenan, John A. Trotter:
Renegotiable Quality of Service - A New Scheme for Fault Tolerance in Wireless Networks. FTCS 1997: 21-30
[c19]
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Michael R. Lyu, Sampath Rangarajan, Aad P. A. van Moorsel:
Optimization of reliability allocation and testing schedule for software systems. ISSRE 1997: 336-347
[c18]
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Mei-Hwa Chen, Michael R. Lyu, W. Eric Wong:
Incorporating Code Coverage in the Reliability Estimation for Fault-Tolerant Software. SRDS 1997: 45-52
[c17]
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Victoria Hilford, Michael R. Lyu, Bojan Cukic, Anouar Jamoussi, Farokh B. Bastani:
Diversity in the software development process. WORDS 1997: 129-136
1996
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Robert C. Tausworthe, Michael R. Lyu:
A Generalized Technique for Simulating Software Reliability. IEEE Softw. 13(2): 77-88 (1996)
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Mei-Hwa Chen, Michael R. Lyu, W. Eric Wong:
An empirical study of the correlation between code coverage and reliability estimation. IEEE METRICS 1996: 133-141
1995
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Michael R. Lyu, Jinsong S. Yu, Elaine Keramidas, Siddhartha R. Dalal:
ARMOR: Analyzer for Reducing Module Operational Risk. FTCS 1995: 137-142
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Allen P. Nikora, Michael R. Lyu:
An experiment in determining software reliability model applicability. ISSRE 1995: 304-313
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D. W. Carman, Adrian A. Dolinsky, Michael R. Lyu, Jinsong S. Yu:
Software reliability engineering study of a large-scale telecommunications software system. ISSRE 1995: 350-359
1994
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Joseph Robert Horgan, Saul London, Michael R. Lyu:
Achieving Software Quality with Testing Coverage Measures. Computer 27(9): 60-69 (1994)
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Michael R. Lyu:
Software reliability: to use or not to use? ISSRE 1994: 66-73
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Robert C. Tausworthe, Michael R. Lyu:
A generalized software reliability process simulation technique and tool. ISSRE 1994: 264-273
1993
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Michael R. Lyu, Allen P. Nikora, William H. Farr:
A Systematic and Comprehensive Tool for Software Reliability Modeling and Measurement. FTCS 1993: 648-653
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Michael R. Lyu, Joseph R. Horgan, Saul London:
A coverage analysis tool for the effectiveness of software testing. ISSRE 1993: 25-34
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Joanne Bechta Dugan, Michael R. Lyu:
System reliability analysis of an N-version programming application. ISSRE 1993: 103-111
1992
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Michael R. Lyu, Allen P. Nikora:
Applying Reliability Models More Effectively. IEEE Softw. 9(4): 43-52 (1992)
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Michael R. Lyu, Jia-Hong Chen, Algirdas Avizienis:
Software diversity metrics and measurements. COMPSAC 1992: 69-78
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Michael R. Lyu:
Software reliability measurements in N-Version software execution environment. ISSRE 1992: 254-263
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Chandrashekar Rajaraman, Michael R. Lyu:
Reliability and maintainability related software coupling metrics in C++ programs. ISSRE 1992: 303-311
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Chandrashekar Rajaraman, Michael R. Lyu:
Some Coupling Measures for C++ Programs. TOOLS (8) 1992: 225-234
1991
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Michael R. Lyu:
PANEL: research and development issues in software reliability engineering. ACM SIGSOFT Softw. Eng. Notes 16(2): 23-30 (1991)
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Michael R. Lyu, Allen P. Nikora:
Software reliability measurements through combination models: approaches, results, and a CASE tool. COMPSAC 1991: 577-584
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Michael R. Lyu, Allen P. Nikora:
A heuristic approach for software reliability prediction: the equally-weighted linear combination model. ISSRE 1991: 172-181

1980 – 1989

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What is the meaning of the colors in the publication lists?

1988
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Algirdas Avizienis, Michael R. Lyu, Werner Schütz:
In search of effective diversity: a six-language study of fault-tolerant flight control software. FTCS 1988: 15-22

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