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2020 – today
- 2024
[j124]Jing Qu
, Lizhen Cui, Wei Guo, Lingguo Bu, Zhenya Wang:
Development of a novel machine learning-based approach for brain function assessment and integrated software solution. Adv. Eng. Informatics 60: 102461 (2024)- [j123]Jiangang Hou, Xin Li, Hongji Xu, Chun Wang, Lizhen Cui, Zhi Liu, Changzhen Hu:
Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification. Computing 106(8): 2875-2896 (2024) - [j122]Tong Ding, Lei Liu, Yi Zhu, Lizhen Cui, Zhongmin Yan:
IoV environment exploring coordination: A federated learning approach. Digit. Commun. Networks 10(1): 135-141 (2024) - [j121]Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238(Part B): 121740 (2024) - [j120]Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan:
TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. Expert Syst. Appl. 238(Part E): 122184 (2024) - [j119]Xiao Xue, Deyu Zhou, Xiangning Yu, Gang Wang, Juanjuan Li, Xia Xie, Lizhen Cui, Fei-Yue Wang:
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation. IEEE CAA J. Autom. Sinica 11(4): 1022-1038 (2024) - [j118]Zhe Qu, Weijing Liu, Lizhen Cui, Xiaohui Yang:
Video frame interpolation via spatial multi-scale modelling. IET Comput. Vis. 18(4): 458-472 (2024) - [j117]Fanglin Zhu, Lizhen Cui, Yonghui Xu, Zhe Qu, Zhiqi Shen:
A Survey of Personalized Medicine Recommendation. Int. J. Crowd Sci. 8(2): 77-82 (2024) - [j116]Tian Su, Zixing Ding, Lizhen Cui, Lingguo Bu:
System Development and Evaluation of Human-Computer Interaction Approach for Assessing Functional Impairment for People with Mild Cognitive Impairment: A Pilot Study. Int. J. Hum. Comput. Interact. 40(8): 1906-1920 (2024) - [j115]Tianlong Zhao, Guangle Song, Xuemei Li, Lizhen Cui, Caiming Zhang:
Diff-MGR: Dynamic causal graph attention and pattern reproduction guided diffusion model for multivariate time series probabilistic forecasting. Inf. Sci. 675: 120742 (2024) - [j114]Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui:
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. Knowl. Based Syst. 299: 112014 (2024) - [j113]Xiaoxiao Cui, Boyu Wang, Shanzhi Jiang, Zhi Liu, Hongji Xu, Lizhen Cui, Shuo Li:
Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation. Knowl. Based Syst. 303: 112394 (2024) - [j112]Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui:
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. 1(FSE): 406-426 (2024) - [j111]Shuaiying Zhang, Lizhen Cui, Zhen Dong, Wentao An:
A Deep Learning Classification Scheme for PolSAR Image Based on Polarimetric Features. Remote. Sens. 16(10): 1676 (2024) - [j110]Shuaiying Zhang, Lizhen Cui, Yue Zhang, Tian Xia, Zhen Dong, Wentao An:
Research on Input Schemes for Polarimetric SAR Classification Using Deep Learning. Remote. Sens. 16(11): 1826 (2024) - [j109]Tong Li, Lizhen Cui, Yu Wu, Timothy I. McLaren, Anquan Xia, Rajiv Pandey, Hongdou Liu, Weijin Wang, Zhihong Xu, Xiufang Song, Ram C. Dalal, Yash P. Dang:
Soil Organic Carbon Estimation via Remote Sensing and Machine Learning Techniques: Global Topic Modeling and Research Trend Exploration. Remote. Sens. 16(17): 3168 (2024) - [j108]Yuan Yuan, Shuzhen Chen, Dongxiao Yu, Zengrui Zhao, Yifei Zou, Lizhen Cui, Xiuzhen Cheng:
Distributed Learning for Large-Scale Models at Edge With Privacy Protection. IEEE Trans. Computers 73(4): 1060-1070 (2024) - [j107]Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu:
Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve. IEEE Trans. Comput. Soc. Syst. 11(2): 2755-2764 (2024) - [j106]Yankun Cao, Wenzhen Zhang, Yuezhong Zhang, Guanjie Sun, Wei Guo, Mingjie Shao, Subhas Chandra Mukhopadhyay, Lizhen Cui, Yujun Li, Zhi Liu, Shuo Li:
CMAR: A Pipeline for Cross-Modal Alignment and 3-D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j105]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 86:1-86:21 (2024) - [j104]Fanglin Zhu, Xu Zhang, Batuo Zhang, Yonghui Xu, Lizhen Cui:
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph. IEEE J. Biomed. Health Informatics 28(4): 2294-2303 (2024) - [j103]Lei Zhang, Yong Liu, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. ACM Trans. Knowl. Discov. Data 18(5): 108:1-108:19 (2024) - [j102]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36(2): 913-926 (2024) - [j101]Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui:
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2534-2544 (2024) - [j100]Lu Bai, Ziwei Huang, Junyu Liu, Lizhen Cui, Min Sheng, Xiang Cheng:
A Mixed-Bouncing Based 6G Multi-UAV Integrated Channel Model With Consistency and Non-Stationarity. IEEE Trans. Wirel. Commun. 23(10): 13456-13470 (2024) - [c246]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. AAAI 2024: 9011-9018 - [c245]Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) 2024: 714-729 - [c244]Xinyu Tang, Hongtao Lv, Yingjie Gao, Fan Wu, Lei Liu, Lizhen Cui:
Towards Efficient Auction Design with ROI Constraints. AAMAS 2024: 1818-1826 - [c243]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CIKM 2024: 1004-1014 - [c242]Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui:
LAMRec: Label-aware Multi-view Drug Recommendation. CIKM 2024: 2230-2239 - [c241]Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation with Health-aware Knowledge Distillation. CIKM 2024: 3279-3289 - [c240]Qiuyuan Wang, Lanju Kong, Lizhen Cui:
A Complete Protection, Certification and Traceability System for Academic Degrees Based on Collaborative Storage on and Off the Chain. CSCWD 2024: 401-406 - [c239]Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui:
Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. DASFAA (7) 2024: 3-18 - [c238]Yibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He, Lizhen Cui:
Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. DASFAA (6) 2024: 311-320 - [c237]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024: 1324-1337 - [c236]Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli:
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. ICLR 2024 - [c235]Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li:
FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. ICME 2024: 1-6 - [c234]Yibowen Zhao, Yonghui Xu, Ning Liu, Yixin Zhang, Wei Guo, Xudong Lu, Lizhen Cui:
Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network. ICME 2024: 1-6 - [c233]Fenglong Cai, Dong Yuan, Zhe Yang, Lizhen Cui:
Edge-LLM: A Collaborative Framework for Large Language Model Serving in Edge Computing. ICWS 2024: 799-809 - [c232]Shipeng Wang, Qingzhong Li, Xudong Lu, Lizhen Cui:
A Self-organizing Collaborative Crowdsourcing Framework for Improving Service Utility. ICWS 2024: 1245-1250 - [c231]Shuaipeng Zhang, Lanju Kong, Yongqing Zheng, Cong Liu, Lizhen Cui:
Privacy-Preserving Cross-Organization Process Mining Based on Blockchain and Cryptography. ICWS 2024: 1384-1389 - [c230]Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li:
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. IJCAI 2024: 4071-4079 - [c229]Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li:
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. IJCAI 2024: 5371-5379 - [c228]Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui:
Personalized Federated Learning for Cross-City Traffic Prediction. IJCAI 2024: 5526-5534 - [c227]Yiran Li, Xiaoxiao Cui, Yankun Cao, Yuezhong Zhang, Huihui Wang, Lizhen Cui, Zhi Liu, Shuo Li:
CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment. MICCAI (1) 2024: 211-220 - [c226]Xiaoxiao Cui, Shanzhi Jiang, Baolin Sun, Yiran Li, Yankun Cao, Zhen Li, Chaoyang Lv, Zhi Liu, Lizhen Cui, Shuo Li:
Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis. MICCAI (3) 2024: 682-692 - [c225]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui:
From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation? ACM Multimedia 2024: 10085-10094 - [c224]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. SIGIR 2024: 1296-1306 - [c223]Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui:
MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. WWW 2024: 3454-3463 - [c222]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024: 3910-3918 - [c221]Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW 2024: 3930-3939 - [i55]Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. CoRR abs/2401.13448 (2024) - [i54]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR abs/2401.17630 (2024) - [i53]Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR abs/2403.16443 (2024) - [i52]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. CoRR abs/2403.18479 (2024) - [i51]Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR abs/2406.17335 (2024) - [i50]Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation using Clustering and Self-supervised Learning. CoRR abs/2406.18962 (2024) - [i49]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR abs/2407.13605 (2024) - [i48]Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui:
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models. CoRR abs/2409.03155 (2024) - [i47]Xiaohu Zhu, Qian Li, Lizhen Cui, Yongkang Liu:
Large Language Model Enhanced Text-to-SQL Generation: A Survey. CoRR abs/2410.06011 (2024) - 2023
- [j99]Xiuxiu Ren, Xiangwei Zheng, Lizhen Cui, Gang Wang, Huiyu Zhou:
Asymmetric similarity-preserving discrete hashing for image retrieval. Appl. Intell. 53(10): 12114-12131 (2023) - [j98]Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j97]Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei:
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164: 106904 (2023) - [j96]Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui:
An reinforcement learning approach for allocating software resources. Concurr. Comput. Pract. Exp. 35(14) (2023) - [j95]Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui:
EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. 11(1): 53 (2023) - [j94]Jia Gu, Youyang Du, Chi Zhang, Yunsen Tang, Huiguo Zhang, Yonghui Xu, Lizhen Cui:
Music Intervention in Human Life, Work, and Disease: A Survey. Int. J. Crowd Sci. 7(3): 97-105 (2023) - [j93]Zhida Shang, Hefeng Meng, Yibowen Zhao, Ronghua Xu, Yonghui Xu, Lizhen Cui:
Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer. Int. J. Crowd Sci. 7(3): 106-112 (2023) - [j92]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui:
Few-shot partial multi-label learning via prototype rectification. Knowl. Inf. Syst. 65(4): 1851-1880 (2023) - [j91]Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang, Lizhen Cui:
Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 512-523 (2023) - [j90]Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. IEEE J. Biomed. Health Informatics 27(11): 5249-5259 (2023) - [j89]Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, Lei Liu:
Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation. ACM Trans. Knowl. Discov. Data 17(9): 125:1-125:20 (2023) - [j88]Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu:
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6940-6954 (2023) - [j87]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9587-9603 (2023) - [j86]Lu Bai, Ziwei Huang, Lizhen Cui, Xiang Cheng:
A Non-Stationary Multi-UAV Cooperative Channel Model for 6G Massive MIMO mmWave Communications. IEEE Trans. Wirel. Commun. 22(12): 9233-9247 (2023) - [c220]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu:
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. AAAI 2023: 277-285 - [c219]Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu:
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. AAAI 2023: 5789-5796 - [c218]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. AAAI 2023: 6533-6540 - [c217]Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen:
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI 2023: 9153-9161 - [c216]Mengwei Xie, Lizhen Cui, Jianxiong Liu, Wei Guo, Feng Li:
Time Fairness-Based Application Offloading in Mobile Edge Computing with Individual QoS Guarantee. ISPA/BDCloud/SocialCom/SustainCom 2023: 10-17 - [c215]Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui:
Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. BIBM 2023: 893-898 - [c214]Xiaofang Sun, Wei He, Yonghui Xu, Yali Jiang, Xiangwei Zheng, Yongqing Zheng, Wei Guo, Lizhen Cui:
Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. BIBM 2023: 2249-2254 - [c213]Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. IEEE Big Data 2023: 5559-5568 - [c212]Guanhua Duan, Yankun Cao, Wei Guo, Lizhen Cui, Zhi Liu:
A Virtual Staining Method for Immunohistochemical Images of Breast Cancer. CISP-BMEI 2023: 1-5 - [c211]Xu Zhang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui:
A Comprehensive Review of the Oversmoothing in Graph Neural Networks. ChineseCSCW (1) 2023: 451-465 - [c210]Hanlin Zhang, Yue Zhang, Wei He, Yonghui Xu, Lizhen Cui:
Towards Distributed Graph Representation Learning. ChineseCSCW (1) 2023: 547-557 - [c209]Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu:
Logic Event Graph Enhanced Narrative Generation. CSCWD 2023: 181-186 - [c208]Zhe Qu, Lizhen Cui, Yonghui Xu:
DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. DASFAA (4) 2023: 276-285 - [c207]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao:
CMT: Cross-modal Memory Transformer for Medical Image Report Generation. DASFAA (3) 2023: 415-424 - [c206]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. DASFAA (4) 2023: 606-618 - [c205]Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui:
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) 2023: 800-809 - [c204]Ziwei Huang, Lu Bai, Lizhen Cui, Tao Feng:
A Space-Time Non-Stationary and Consistent Model for 6G Multi-UAV Cooperative Channels. ICCC 2023: 1-6 - [c203]Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. ICDE 2023: 2955-2968 - [c202]Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen:
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE 2023: 3403-3416 - [c201]Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu:
CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers. ICWS 2023: 161-169 - [c200]Fenglong Cai, Dong Yuan, Mengwei Xie, Wei He, Lanju Kong, Wei Guo, Yali Jiang, Lizhen Cui:
ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing. ICWS 2023: 258-268 - [c199]Yuehan Su, Lanju Kong, Yongqing Zheng, Lizhen Cui, Zongshui Xiao, Baochen Zhang, Xinping Min:
TBPCS: Trustworthy Cross Department Business Process Collaboration Service Based on Blockchain. ICWS 2023: 716-718 - [c198]Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan:
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN 2023: 1-8 - [c197]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c196]Yunpeng Yi, Hongtao Lv, Tie Luo, Junfeng Yang, Lei Liu, Lizhen Cui:
Crowdsourcing-based Model Testing in Federated Learning. TrustCom 2023: 207-213 - [c195]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - [i46]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i45]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. CoRR abs/2301.01664 (2023) - [i44]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i43]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. CoRR abs/2302.00907 (2023) - [i42]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. CoRR abs/2302.07429 (2023) - [i41]Nan Yang, Xuanyu Chen, Charles Z. Liu, Dong Yuan, Wei Bao, Lizhen Cui:
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder. CoRR abs/2303.11339 (2023) - [i40]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i39]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i38]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i37]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Unsupervised Representation Learning for Time Series: A Review. CoRR abs/2308.01578 (2023) - [i36]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui:
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. CoRR abs/2310.05341 (2023) - [i35]Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli:
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. CoRR abs/2310.13345 (2023) - [i34]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. CoRR abs/2312.13596 (2023) - 2022
- [j85]Zilin Wang, Lizhen Cui, Wei Guo, Lei Zhao, Xin Yuan, Xiaosong Gu, Weizhong Tang, Lingguo Bu, Weiming Huang:
A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups. Adv. Eng. Informatics 51: 101504 (2022) - [j84]Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui:
StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies. Briefings Bioinform. 23(2) (2022) - [j83]Fan Yang, Shuaijie Zhang, Wei Pan, Ruiyuan Yao, Weiguo Zhang, Yanchun Zhang, Guoyin Wang, Qianghua Zhang, Yunlong Cheng, Jihua Dong, Chunyang Ruan, Lizhen Cui, Hao Wu, Fuzhong Xue:
Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method. Briefings Bioinform. 23(5) (2022) - [j82]Haiting Zhong, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan, Kun Zhao:
Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation. Data Sci. Eng. 7(4): 370-382 (2022) - [j81]Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao:
Estimating urban functional distributions with semantics preserved POI embedding. Int. J. Geogr. Inf. Sci. 36(10): 1905-1930 (2022) - [j80]Tao Jiang, Fengjian Kang, Wei Guo, Wei He, Lei Liu, Xudong Lu, Yonghui Xu, Lizhen Cui:
CK-Encoder: Enhanced Language Representation for Sentence Similarity. Int. J. Crowd Sci. 6(1): 17-22 (2022) - [j79]Xiao Xue, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, Shizhan Chen:
Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective. Int. J. Crowd Sci. 6(4): 195-222 (2022) - [j78]Tong Ding, Ning Liu, Zhongmin Yan, Lei Liu, Li-zhen Cui:
An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. 37(6): 1356-1368 (2022) - [j77]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui:
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64(12): 3235-3263 (2022) - [j76]Ranran Zhang, Yankun Cao, Yujun Li, Zhi Liu, Jianye Wang, Jiahuan He, Chenyang Zhang, Xiaoyu Sui, Pengfei Zhang, Lizhen Cui, Shuo Li:
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping. Medical Image Anal. 80: 102520 (2022) - [j75]Yanxiang Wang, Xian Zhang, Yiran Shen, Bowen Du, Guangrong Zhao, Lizhen Cui, Hongkai Wen:
Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3436-3449 (2022) - [j74]Shuaiying Zhang, Wentao An, Yue Zhang, Lizhen Cui, Chunhua Xie:
Wetlands Classification Using Quad-Polarimetric Synthetic Aperture Radar Through Convolutional Neural Networks Based on Polarimetric Features. Remote. Sens. 14(20): 5133 (2022) - [j73]Wei Guo, Lanju Kong, Xudong Lu, Lizhen Cui:
An Intelligent Genetic Scheme for Multi-Objective Collaboration Services Scheduling. Symmetry 14(10): 2037 (2022) - [j72]Lu Bai, Ziwei Huang, Lizhen Cui, Tao Feng, Xiang Cheng:
A Mixed-Bouncing Based Non-Stationary Model for 6G Massive MIMO mmWave UAV Channels. IEEE Trans. Commun. 70(10): 7055-7069 (2022) - [j71]Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao:
Auxiliary Learning for Relation Extraction. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 182-191 (2022) - [j70]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 60:1-60:21 (2022) - [j69]Xiaoxiao Cui, Yankun Cao, Zhi Liu, Xiaoyu Sui, Jia Mi, Yuezhong Zhang, Lizhen Cui, Shuo Li:
TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography. IEEE J. Biomed. Health Informatics 26(8): 4067-4078 (2022) - [j68]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [j67]Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama:
NoiLin: Improving adversarial training and correcting stereotype of noisy labels. Trans. Mach. Learn. Res. 2022 (2022) - [j66]Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin:
Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25(2): 631-654 (2022) - [c194]Xiaofei Wu, Hao Wang, Chunpeng Ge, Lu Zhou, Qiong Huang, Lanju Kong, Lizhen Cui, Zhe Liu:
CCOM: Cost-Efficient and Collusion-Resistant Oracle Mechanism for Smart Contracts. ACISP 2022: 449-468 - [c193]Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui:
Temporal Hypergraph for Personalized Clinical Pathway Recommendation. BIBM 2022: 718-725 - [c192]Xiaolin Song, Yuehan Su, Lanju Kong, Lizhen Cui, Wei Guo, Qingzhong Li:
A high-concurrency blockchain model for large-scale medical cohort data storage and sharing. BIBM 2022: 1178-1184 - [c191]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao:
KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. BIBM 2022: 1457-1460 - [c190]Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu:
Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM 2022: 1787-1790 - [c189]Zhe Qu, Lizhen Cui, Yonghui Xu:
Disease Risk Prediction via Heterogeneous Graph Attention Networks. BIBM 2022: 3385-3390 - [c188]Yue Huang, Yonghui Xu, Lanju Kong, Qingzhong Li, Lizhen Cui:
Towards Heterogeneous Federated Learning. ChineseCSCW (1) 2022: 390-404 - [c187]Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui:
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) 2022: 438-449 - [c186]Jun Lin, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao:
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse. CICAI (3) 2022: 559-563 - [c185]Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu:
KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. DASFAA (3) 2022: 117-132 - [c184]Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui:
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) 2022: 315-322 - [c183]Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu:
Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) 2022: 407-422 - [c182]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. EMNLP (Findings) 2022: 3395-3407 - [c181]Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin:
Reachability Labeling for Distributed Graphs. ICDE 2022: 686-698 - [c180]Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi:
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022: 285-299 - [c179]Haiting Zhong, Wei He, Lizhen Cui, Lei Liu:
Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services. ICSOC 2022: 316-330 - [c178]Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui:
Is it fair? Resource allocation for differentiated services on demands. ICWS 2022: 355-360 - [c177]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. IJCAI 2022: 2398-2405 - [c176]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen:
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR 2022: 1294-1303 - [c175]Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao:
Efficient Reachability Query with Extreme Labeling Filter. WSDM 2022: 966-975 - [c174]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM 2022: 1415-1423 - [c173]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881 - [i33]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022) - [i32]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR abs/2205.14837 (2022) - [i31]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR abs/2209.02544 (2022) - [i30]Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu:
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. CoRR abs/2211.16251 (2022) - [i29]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR abs/2212.01141 (2022) - [i28]Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. CoRR abs/2212.14676 (2022) - 2021
- [j65]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
Optimizing Smart Grid Operations from the Demand Side. AI Mag. 42(2): 28-37 (2021) - [j64]Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su, Wei Chen, Leyi Wei:
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Briefings Bioinform. 22(4) (2021) - [j63]Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan:
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings Bioinform. 22(4) (2021) - [j62]Xiao Cao, Wenjia He, Zitan Chen, Yifan Li, Kexin Wang, Hongbo Zhang, Lesong Wei, Lizhen Cui, Ran Su, Leyi Wei:
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. Briefings Bioinform. 22(6) (2021) - [j61]Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei:
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization. Bioinform. 37(24): 4603-4610 (2021) - [j60]Wenjia He, Yu Wang, Lizhen Cui, Ran Su, Leyi Wei:
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides. Bioinform. 37(24): 4684-4693 (2021) - [j59]Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo, Zhiyuan Su:
Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Sci. Eng. 6(3): 294-309 (2021) - [j58]Yixin Zhang, Lizhen Cui, Wei He, Xudong Lu, Shipeng Wang:
Behavioral data assists decisions: exploring the mental representation of digital-self. Int. J. Crowd Sci. 5(2): 185-203 (2021) - [j57]Lizhen Cui, Jian Cao, Zhulin An, Yong Yang, Qianqian Guo:
Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks. Int. J. Distributed Sens. Networks 17(7): 155014772110363 (2021) - [j56]Xiangwei Zheng, Xiaofeng Liu, Yuang Zhang, Lizhen Cui, Xiaomei Yu:
A portable HCI system-oriented EEG feature extraction and channel selection for emotion recognition. Int. J. Intell. Syst. 36(1): 152-176 (2021) - [j55]Jing Li, Ming Zhang, Ming Zhu, Lizhen Cui, Yuhong Yan, Bowen Song:
A hybrid pre-joined service network in graph database and memory for service composition. Int. J. Web Grid Serv. 17(3): 179-200 (2021) - [j54]Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang:
Noise-robust Deep Cross-Modal Hashing. Inf. Sci. 581: 136-154 (2021) - [j53]Xudong Lu, Lizhen Cui, Zhenchao Sun, Yuening Zhu:
ProAID: path-based reasoning for self-attentional disease prediction. Knowl. Inf. Syst. 63(12): 3087-3101 (2021) - [j52]Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu, Lizhen Cui:
Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer-to-Peer Netw. Appl. 14(3): 1736-1747 (2021) - [j51]Tong Li, Lizhen Cui, Zhihong Xu, Ronghai Hu, Pawan K. Joshi, Xiufang Song, Li Tang, Anquan Xia, Yanfen Wang, Da Guo, Jiapei Zhu, Yanbin Hao, Lan Song, Xiaoyong Cui:
Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020. Remote. Sens. 13(7): 1279 (2021) - [j50]Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang:
Disease Prediction via Graph Neural Networks. IEEE J. Biomed. Health Informatics 25(3): 818-826 (2021) - [j49]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics 25(8): 2848-2856 (2021) - [j48]Guangrong Zhao, Bowen Du, Yiran Shen, Zhenyu Lao, Lizhen Cui, Hongkai Wen:
LeaD: Learn to Decode Vibration-based Communication for Intelligent Internet of Things. ACM Trans. Sens. Networks 17(3): 26:1-26:25 (2021) - [j47]Yimin Xiao, Haiyong Luo, Fang Zhao, Fan Wu, Xile Gao, Qu Wang, Lizhen Cui:
Residual Attention Network-Based Confidence Estimation Algorithm for Non-Holonomic Constraint in GNSS/INS Integrated Navigation System. IEEE Trans. Veh. Technol. 70(11): 11404-11418 (2021) - [c172]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021: 4503-4511 - [c171]Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao:
Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. BIBM 2021: 779-784 - [c170]Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao:
Personalized Clinical Pathway Recommendation via Attention Based Pre-training. BIBM 2021: 980-987 - [c169]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 - [c168]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM 2021: 2180-2190 - [c167]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. CVPR 2021: 6811-6820 - [c166]Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li:
Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization. DASFAA (2) 2021: 692-700 - [c165]Jun Lin, Bei Li, Lizhen Cui, Chunyan Miao:
Practices of Using Blockchain Technology in e-Learning. ICCSE 2021: 55-60 - [c164]Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin:
Credit Default Prediction via Explainable Ensemble Learning. ICCSE 2021: 81-87 - [c163]Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu, Lizhen Cui:
Music Rhythm Matching Based on Dynamic Step Frequency. ICCSE 2021: 113-118 - [c162]Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui:
A Survey on Knowledge Enhanced EHR Data Mining. ICCSE 2021: 124-131 - [c161]Yong Liu, Zhiqi Shen, Yinan Zhang, Lizhen Cui:
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. ICCSE 2021: 132-139 - [c160]Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui:
Knowledge Distillation In Medical Data Mining: A Survey. ICCSE 2021: 175-182 - [c159]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:
Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289 - [c158]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:
Few-Shot Partial Multi-Label Learning. ICDM 2021: 926-935 - [c157]Chang Liu, Han Yu, Zhiqi Shen, Ian Dixon, Yingxue Yu, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos. ICME 2021: 1-6 - [c156]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. IJCAI 2021: 3448-3454 - [c155]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? KDD 2021: 2223-2231 - [c154]Ping Gao, Xiaohui Duan, Jiaxu Guo, Jin Wang, Zhenya Song, Lizhen Cui, Xiangxu Meng, Xin Liu, Wusheng Zhang, Ming Ma, Guohui Li, Dexun Chen, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang:
LMFF: efficient and scalable layered materials force field on heterogeneous many-core processors. SC 2021: 42 - [c153]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014 - [i27]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. CoRR abs/2101.02873 (2021) - [i26]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR abs/2101.12549 (2021) - [i25]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. CoRR abs/2103.00710 (2021) - [i24]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection. CoRR abs/2103.16047 (2021) - [i23]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. CoRR abs/2105.08908 (2021) - [i22]Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama:
NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? CoRR abs/2105.14676 (2021) - [i21]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. CoRR abs/2106.00984 (2021) - [i20]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. CoRR abs/2108.01431 (2021) - [i19]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CoRR abs/2108.08134 (2021) - [i18]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR abs/2108.10560 (2021) - [i17]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. CoRR abs/2109.02053 (2021) - [i16]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. CoRR abs/2110.10926 (2021) - [i15]Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu:
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. CoRR abs/2111.01351 (2021) - [i14]Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Crowdsourcing with Meta-Workers: A New Way to Save the Budget. CoRR abs/2111.04068 (2021) - [i13]Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Open-Set Crowdsourcing using Multiple-Source Transfer Learning. CoRR abs/2111.04073 (2021) - [i12]Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing by Label Attributes Embedding. CoRR abs/2111.04080 (2021) - [i11]Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen:
Graph Augmentation-Free Contrastive Learning for Recommendation. CoRR abs/2112.08679 (2021) - 2020
- [j46]Haixia Hou, Yingying Xu, Menghan Chen, Zhi Liu, Wei Guo, Mingcheng Gao, Yang Xin, Lizhen Cui:
Hierarchical Long Short-Term Memory Network for Cyberattack Detection. IEEE Access 8: 90907-90913 (2020) - [j45]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang:
Addressing the Challenges of Government Service Provision with AI. AI Mag. 41(1): 33-43 (2020) - [j44]Yankun Cao, Xiaoyan Xiao, Zhi Liu, Meijun Yang, Dianmin Sun, Wei Guo, Lizhen Cui, Pengfei Zhang:
Detecting vulnerable plaque with vulnerability index based on convolutional neural networks. Comput. Medical Imaging Graph. 81: 101711 (2020) - [j43]Zhi Liu, Yankun Cao, Yujun Li, Xiaoyan Xiao, Qingchen Qiu, Meijun Yang, Yuefeng Zhao, Lizhen Cui:
Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network. Comput. Methods Programs Biomed. 187: 105019 (2020) - [j42]Yujun Li, Meijun Yang, Zhi Liu, Yuefeng Zhao, Dongmei Jiang, Lizhen Cui, Mingyu Wang:
Detection and diagnosis of myocarditis in young patients using ECG analysis based on artificial neural networks. Computing 102(1): 1-18 (2020) - [j41]Zhe Yang, Kun Ma, Xiaoli Zhang, Lizhen Cui, Bo Yang:
RSCVC: Row-based semantic cache with incremental versioning consistency. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j40]Yuliang Shi, Mianxiong Dong, Wenbin Zhang, Lei Liu, Yongqing Zheng, Lizhen Cui, Junhua Zhang:
AdaptScale: An adaptive data scaling controller for improving the multiple performance requirements in Clouds. Future Gener. Comput. Syst. 105: 814-823 (2020) - [j39]Yingying Xu, Zhi Liu, Yujun Li, Haixia Hou, Yankun Cao, Yuefeng Zhao, Wei Guo, Lizhen Cui:
Feature data processing: Making medical data fit deep neural networks. Future Gener. Comput. Syst. 109: 149-157 (2020) - [j38]Jing Li, Ming Zhu, Miao Yu, Yuhong Yan, Lizhen Cui:
Service composition based on pre-joined service network in graph database. Int. J. Web Grid Serv. 16(4): 422-440 (2020) - [j37]Ye Jin, Lizhen Cui:
Discovering Influential Positions in RFID-Based Indoor Tracking Data. Inf. 11(6): 330 (2020) - [j36]Meijun Yang, Xiaoyan Xiao, Zhi Liu, Longkun Sun, Wei Guo, Lizhen Cui, Dianmin Sun, Pengfei Zhang, Guang Yang:
Deep RetinaNet for Dynamic Left Ventricle Detection in Multiview Echocardiography Classification. Sci. Program. 2020: 7025403:1-7025403:6 (2020) - [j35]Yiran Shen, Bowen Du, Weitao Xu, Chengwen Luo, Bo Wei, Lizhen Cui, Hongkai Wen:
Securing Cyber-Physical Social Interactions on Wrist-Worn Devices. ACM Trans. Sens. Networks 16(2): 19:1-19:22 (2020) - [c152]Jing Li, Ming Zhu, Miao Yu, Yuhong Yan, Lizhen Cui:
A Pre-joined Service Composition Approach with Dynamic Services in a Graph Database. SCC 2020: 51-53 - [c151]Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu, Qingzhong Li:
Personality Traits Prediction Based on Users' Digital Footprints in Social Networks via Attention RNN. SCC 2020: 54-56 - [c150]Guanqi Hua, Junhua Zhang, Lizhen Cui, Wei Guo, Xudong Lu, Wei He:
D-colSimulation: A Distributed Approach for Frequent Graph Pattern Mining based on colSimulation in a Single Large Graph. SCC 2020: 76-83 - [c149]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
PIDS: An Intelligent Electric Power Management Platform. AAAI 2020: 13220-13227 - [c148]Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract). AAAI 2020: 13865-13866 - [c147]Meihao Hou, Fan Yang, Lizhen Cui, Wei Guo:
Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders. APWeb/WAIM (2) 2020: 132-140 - [c146]Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo:
A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks. APWeb/WAIM (1) 2020: 779-793 - [c145]Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM 2020: 194-199 - [c144]Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li:
CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. BIBM 2020: 469-472 - [c143]Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui:
An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-Tier Web Systems. CCGRID 2020: 802-809 - [c142]Zhiqi Liu, Lizhen Cui, Wei Guo, Wei He, Hui Li, Jun Gao:
Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph. DASFAA (2) 2020: 385-397 - [c141]Wei Ge, Wei Guo, Lizhen Cui, Hui Li, Lijin Liu:
Detection of Wrong Disease Information Using Knowledge-Based Embedding and Attention. DASFAA (3) 2020: 459-473 - [c140]Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao:
Commonsense Knowledge Adversarial Dataset that Challenges ELECTRA. ICARCV 2020: 315-320 - [c139]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132 - [c138]Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli:
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. ICML 2020: 11278-11287 - [c137]Lizhen Cui, Jing Chen, Wei He, Wei Guo:
Answer Aggregation for Crowdsourcing Microtasks using Approximate Global Optimal Searching. ICWS 2020: 45-49 - [c136]Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang:
Learning Personalized Itemset Mapping for Cross-Domain Recommendation. IJCAI 2020: 2561-2567 - [c135]Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
An AI-empowered Visual Storyline Generator. IJCAI 2020: 5267-5269 - [c134]Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui:
BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection. IJCNN 2020: 1-8 - [c133]Yixin Zhang, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan:
Multi-interest Aware Recommendation in CrowdIntell Network. ISPA/BDCloud/SocialCom/SustainCom 2020: 698-705 - [c132]Xiaomeng Lian, Wei He, Lizhen Cui, Hui Li, Lei Liu:
Task Assignment with Consensus Decision for Spatial Crowdsouring. ISPA/BDCloud/SocialCom/SustainCom 2020: 713-720 - [c131]Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang:
Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization. AutoImplant@MICCAI 2020: 85-93 - [c130]Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang:
Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis. MICCAI (2) 2020: 496-505 - [c129]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. SIGIR 2020: 689-698 - [c128]Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu:
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. WWW 2020: 1264-1274 - [i10]Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli:
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. CoRR abs/2002.11242 (2020) - [i9]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR abs/2004.02340 (2020) - [i8]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. CoRR abs/2005.10150 (2020) - [i7]Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao:
Commonsense knowledge adversarial dataset that challenges ELECTRA. CoRR abs/2010.13049 (2020) - [i6]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR abs/2012.06852 (2020)
2010 – 2019
- 2019
- [j34]Chenfei Sun, Zhongmin Yan, Qingzhong Li, Yongqing Zheng, Xudong Lu, Lizhen Cui:
Abnormal Group-Based Joint Medical Fraud Detection. IEEE Access 7: 13589-13596 (2019) - [j33]Jinjiao Lin, Chunfang Liu, Yibin Li, Lizhen Cui, Rui Wang, Xudong Lu, Yan Zhang, Jian Lian:
Automatic Knowledge Discovery in Lecturing Videos via Deep Representation. IEEE Access 7: 33957-33963 (2019) - [j32]Wei Guo, Wei Ge, Lizhen Cui, Hui Li, Lanju Kong:
An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records. IEEE Access 7: 134236-134244 (2019) - [j31]Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi:
Heterogeneous network-based chronic disease progression mining. Big Data Min. Anal. 2(1): 25-34 (2019) - [j30]Junhua Zhang, Dong Yuan, Lizhen Cui, Bing Bing Zhou:
A highly efficient algorithm towards optimal data storage and regeneration cost in multiple clouds. Future Gener. Comput. Syst. 99: 459-472 (2019) - [j29]Pengze Li, Ran Zhang, Lei Liu, Lizhen Cui, Qingzhong Li, Guangpeng Zhou:
Bridges the crowd: rim chain framework. Int. J. Crowd Sci. 3(2): 106-116 (2019) - [j28]Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu, Qingzhong Li:
Projecting real world into CrowdIntell network: a methodology. Int. J. Crowd Sci. 3(2): 138-154 (2019) - [j27]Xudong Lu, Shipeng Wang, Fengjian Kang, Shijun Liu, Hui Li, Xiangzhen Xu, Lizhen Cui:
An anomaly detection method to improve the intelligent level of smart articles based on multiple group correlation probability models. Int. J. Crowd Sci. 3(3): 333-347 (2019) - [j26]Lei Liu, Song Xu, Lizhen Cui, Geyong Min, Haozhe Wang:
Power Rationing for Tradeoff Between Energy Consumption and Profit in Multimedia Heterogeneous Networks. IEEE J. Sel. Areas Commun. 37(7): 1642-1655 (2019) - [c127]Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. AIES 2019: 45-51 - [c126]Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor R. Lesser:
Ethically Aligned Multi-agent Coordination to Enhance Social Welfare. AAMAS 2019: 2300-2302 - [c125]Ruican Li, Hui Li, Wei Guo, Lizhen Cui:
Biclustering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors. BIBM 2019: 1091-1095 - [c124]Zeyuan Cui, Li Pan, Shijun Liu, Lizhen Cui:
Infer Latent Privacy for Attribute Network in Knowledge Graph. IEEE BigData 2019: 2542-2551 - [c123]Bin Liu, Wei Guo, Xudong Lu, Meng Xu, Lizhen Cui:
A Method of Analysis on Consumer Behavior Characteristics Based on Self-supervised Learning. ChineseCSCW 2019: 605-617 - [c122]Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. CIKM 2019: 901-910 - [c121]Miao Zheng, Lizhen Cui, Wei He, Wei Guo, Xudong Lu:
A Dynamic Difficulty-Sensitive Worker Distribution Model for Crowdsourcing Quality Management. CollaborateCom 2019: 12-27 - [c120]Yiming Cao, Lizhen Cui, Wei He:
Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph. DASFAA (3) 2019: 259-263 - [c119]Songyuan Li, Jiwei Huang, Bo Cheng, Lizhen Cui, Yuliang Shi:
FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints. ICWS 2019: 255-259 - [c118]Song Xu, Lei Liu, Lizhen Cui, Qingzhong Li, Zhongmin Yan:
Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. ICWS 2019: 403-407 - [c117]Yankun Cao, Zhi Liu, Xiaoyan Xiao, Yushuo Zheng, Lizhen Cui, Yixian Du, Pengfei Zhang:
Three-Dimensional Reconstruction of Intravascular Ultrasound Images Based on Deep Learning. IFTC 2019: 416-427 - [c116]Lei Liu, Song Xu, Jia Hu, Lizhen Cui, Geyong Min:
Balancing of the quality-of-service, energy and revenue of base stations in wireless networks via tullock contests. IWQoS 2019: 26:1-26:8 - [c115]Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
Enhancing Collaborative Filtering with Generative Augmentation. KDD 2019: 548-556 - [c114]Wei Gai, Xiyu Bao, Meng Qi, Yafang Wang, Juan Liu, Gerard de Melo, Lu Wang, Lizhen Cui, Chenglei Yang, Xiangxu Meng:
Optimization Strategies for Real-Time Rendering of Virtual Scenes on Heterogeneous Mobile Devices. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 395-400 - [c113]Yingjie Song, Nianmei Zhou, Qianhui Sun, Wei Gai, Juan Liu, Yulong Bian, Shijun Liu, Lizhen Cui, Chenglei Yang:
Mixed Reality Storytelling Environments Based on Tangible User Interface: Take Origami as an Example. VR 2019: 1167-1168 - [i5]Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. CoRR abs/1901.00298 (2019) - [i4]Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan:
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. CoRR abs/1903.07826 (2019) - [i3]Songyuan Li, Jiwei Huang, Bo Cheng, Lizhen Cui, Yuliang Shi:
FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints. CoRR abs/1905.03857 (2019) - [i2]Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. CoRR abs/1908.11588 (2019) - 2018
- [j25]Yang Xin, Yankun Cao, Zhi Liu, Yuling Chen, Lizhen Cui, Yaowen Zhu, Haixia Hou, Guangzhe Zhao, Mingyu Wang:
Automatic Tongue Verification Based on Appearance Manifold Learning in Image Sequences for the Internet of Medical Things Platform. IEEE Access 6: 43885-43891 (2018) - [j24]Ranran Zhang, Xiaoyan Xiao, Zhi Liu, Wei Jiang, Jianwen Li, Yankun Cao, Jianmin Ren, Dongmei Jiang, Lizhen Cui:
A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest. IEEE Access 6: 44944-44950 (2018) - [j23]Zhi Liu, Yankun Cao, Lizhen Cui, Jiahua Song, Guangzhe Zhao:
A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform. IEEE Access 6: 51286-51296 (2018) - [j22]Yongchang Gao, Chenfei Sun, Ruican Li, Qingzhong Li, Lizhen Cui, Bin Gong:
An Efficient Fraud Identification Method Combining Manifold Learning and Outliers Detection in Mobile Healthcare Services. IEEE Access 6: 60059-60068 (2018) - [j21]Zhihong Cui, Xiangwei Zheng, Xuexiao Shao, Lizhen Cui:
Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments. Complex. 2018: 9248410:1-9248410:13 (2018) - [j20]Lizhen Cui, Lingxi Yue, Dong Wen, Lu Qin:
K-Connected Cores Computation in Large Dual Networks. Data Sci. Eng. 3(4): 293-306 (2018) - [j19]Lei Liu, Yongjian Ren, Lizhen Cui, Yuliang Shi, Qingzhong Li:
Performance measurement of data flow processing employing software defined architecture. Future Gener. Comput. Syst. 82: 235-243 (2018) - [j18]Jun Lin, Han Yu, Zhengxiang Pan, Zhiqi Shen, Lizhen Cui:
Towards data-driven software engineering skills assessment. Int. J. Crowd Sci. 2(2): 123-135 (2018) - [j17]Lizhen Cui, Xiangzhen Xu, Shijun Liu, Hui Li, Zhiqi Liu:
TPGraph: a hospital readmission prediction method based on temporal phenotype graphs. Int. J. Data Min. Bioinform. 20(3): 247-266 (2018) - [j16]Rui Jia, Pengcheng Jiang, Lei Liu, Lizhen Cui, Yuliang Shi:
Data Driven Congestion Trends Prediction of Urban Transportation. IEEE Internet Things J. 5(2): 581-591 (2018) - [j15]Hongchen Wu, Huaxiang Zhang, Lizhen Cui, Xinjun Wang:
A Heuristic Model for Supporting Users' Decision-Making in Privacy Disclosure for Recommendation. Secur. Commun. Networks 2018: 2790373:1-2790373:13 (2018) - [j14]Dong Yuan, Lizhen Cui, Wenhao Li, Xiao Liu, Yun Yang:
An Algorithm for Finding the Minimum Cost of Storing and Regenerating Datasets in Multiple Clouds. IEEE Trans. Cloud Comput. 6(2): 519-531 (2018) - [j13]Lizhen Cui, Junhua Zhang, Lingxi Yue, Yuliang Shi, Hui Li, Dong Yuan:
A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds. IEEE Trans. Serv. Comput. 11(4): 727-739 (2018) - [j12]Hongchen Wu, Huaxiang Zhang, Lizhen Cui, Xinjun Wang:
CEPTM: A Cross-Edge Model for Diverse Personalization Service and Topic Migration in MEC. Wirel. Commun. Mob. Comput. 2018: 8056195:1-8056195:12 (2018) - [c112]Na Liu, Jiwei Huang, Lizhen Cui:
A Framework for Online Process Concept Drift Detection from Event Streams. SCC 2018: 105-112 - [c111]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang:
SmartHS: An AI Platform for Improving Government Service Provision. AAAI 2018: 7704-7712 - [c110]Kenan Liang, Wei Guo, Lizhen Cui, Meng Xu, Qingzhong Li:
AstroBase: Distributed Long-Term Astronomical Database. BigSDM 2018: 56-66 - [c109]Junhua Zhang, Dong Yuan, Lizhen Cui, Bing Bing Zhou:
An Efficient Algorithm for Runtime Minimum Cost Data Storage and Regeneration for Business Process Management in Multiple Clouds. Business Process Management Workshops 2018: 348-360 - [c108]Yun Jiang, Wei He, Lizhen Cui, Qian Yang, Zhaohui Peng:
Spatial Task Allocation Based on User Trajectory Prediction. ChineseCSCW 2018: 386-397 - [c107]Wei He, Lizhen Cui, Cheng Huang:
Task Assignments in Complex Collaborative Crowdsourcing. ChineseCSCW 2018: 574-580 - [c106]Wei Guo, Meng Xu, Weixia Xu, Lizhen Cui:
A Collaboration Services Scheduling Method Based on Intelligent Genetic Algorithm. ChineseCSCW 2018: 581-587 - [c105]Wei Wei Wang, Hui Li, Lizhen Cui, Xiaoguang Hong, Zhongmin Yan:
Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information. CSCWD 2018: 353-358 - [c104]Lingxi Yue, Dong Wen, Lizhen Cui, Lu Qin, Yongqing Zheng:
K-Connected Cores Computation in Large Dual Networks. DASFAA (1) 2018: 169-186 - [c103]Han Yu, Chunyan Miao, Lizhen Cui, Yiqiang Chen, Simon Fauvel, Qiang Yang:
Opportunistic Work-Rest Scheduling for Productive Aging. HCI (14) 2018: 413-428 - [c102]Song Xu, Lei Liu, Lizhen Cui, Xiujuan Chang, Hui Li:
Resource Scheduling for Energy-Efficient in Cloud-Computing Data Centers. HPCC/SmartCity/DSS 2018: 774-780 - [c101]Simon Fauvel, Han Yu, Chunyan Miao, Lizhen Cui, Hengjie Song, Liang Zhang, Xiaoming Li, Cyril Leung:
Artificial Intelligence Powered MOOCs: A Brief Survey. ICA 2018: 56-61 - [c100]Pengze Li, Lei Liu, Lizhen Cui, Qingzhong Li, Yongqing Zheng, Guangpeng Zhou:
Rim Chain: Bridge the Provision and Demand Among the Crowd. ICA3PP (2) 2018: 18-31 - [c99]Qun Li, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Kun Ma, Yuliang Shi, Lizhen Cui:
MulAV: Multilevel and Explainable Detection of Android Malware with Data Fusion. ICA3PP (4) 2018: 166-177 - [c98]Ran Zhang, Lei Liu, Lizhen Cui, Wei He, Hui Li:
Answer Aggregation of Crowdsourcing Employing an Improved EM-Based Approach. ICA3PP (3) 2018: 280-290 - [c97]Yinan Zhang, Lizhen Cui, Jiwei Huang, Chunyan Miao:
CrowdMerge: Achieving Optimal Crowdsourcing Quality Management by Sequent Merger. ICCSE 2018: 25:1-25:8 - [c96]Qian Yang, Lizhen Cui, Miao Zheng, Shijun Liu, Wei Guo, Xudong Lu, Yongqing Zheng, Qingzhong Li:
LBTask: A Benchmark for Spatial Crowdsourcing Platforms. ICCSE 2018: 27:1-27:6 - [c95]Yun Jiang, Lizhen Cui, Yiming Cao, Lei Liu, Wei He, Li Pan, Yongqing Zheng, Qingzhong Li:
Spatial Crowdsourcing Task Assignment Based on the Quality of Workers. ICCSE 2018: 28:1-28:6 - [c94]Yun Jiang, Wei He, Lizhen Cui, Qian Yang:
User Location Prediction in Mobile Crowdsourcing Services. ICSOC 2018: 515-523 - [c93]Renfeng Ma, Qi Zhang, Jiawen Wang, Lizhen Cui, Xuanjing Huang:
Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network. SIGIR 2018: 195-204 - 2017
- [j11]Jiaqi Lu, Shijun Liu, Lizhen Cui, Li Pan, Lei Wu:
Crowd wisdom drives intelligent manufacturing. Int. J. Crowd Sci. 1(1): 39-47 (2017) - [j10]Lizhen Cui, Xudong Zhao, Lei Liu, Han Yu, Yuan Miao:
Complex crowdsourcing task allocation strategies employing supervised and reinforcement learning. Int. J. Crowd Sci. 1(2): 146-160 (2017) - [j9]Yuliang Shi, Yu Chen, Zhongmin Zhou, Li-zhen Cui:
A Privacy Protection Evaluation Mechanism for Dynamic Data Based on Chunk-Confusion. J. Signal Process. Syst. 89(1): 27-39 (2017) - [c92]Wenbin Zhang, Yuliang Shi, Yongqing Zheng, Lei Liu, Li-zhen Cui:
Resource and performance prediction at high utilization for N-Tier cloud-based service systems. ACSW 2017: 43:1-43:9 - [c91]Xiangzhen Xu, Lizhen Cui, Shijun Liu, Hui Li, Lei Liu, Yongqing Zheng:
Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes. BIBM 2017: 824-829 - [c90]Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao:
Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions. CIKM 2017: 287-295 - [c89]Yucong Duan, Lixu Shao, Xiaobing Sun, Lizhen Cui, Donghai Zhu, Zhengyang Song:
Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy. CollaborateCom 2017: 365-373 - [c88]Han Yu, Zhiqi Shen, Simon Fauvel, Lizhen Cui:
Efficient scheduling in crowdsourcing based on workers' mood. ICA 2017: 121-126 - [c87]Lizhen Cui, Xudong Zhao, Lei Liu, Han Yu, Yuan Miao:
Learning Complex Crowdsourcing Task Allocation Strategies from Humans. ICCSE 2017: 33-37 - [c86]Song Xu, Lei Liu, Lizhen Cui, Yongqing Zheng:
Optimal Crowds Contest Model for Crowdsourcing. ICCSE 2017: 72-76 - [c85]Yiming Cao, Lei Liu, Lizhen Cui, Qingzhong Li:
Empirical Study on Assessment Algorithms with Confidence in Crowdsourcing. ICCSE 2017: 100-104 - [c84]Xinping Min, Yuliang Shi, Lizhen Cui, Han Yu, Yuan Miao:
Efficient Crowd-Powered Active Learning for Reliable Review Evaluation. ICCSE 2017: 136-143 - [c83]Xiulin Li, Li Pan, Jiwei Huang, Shijun Liu, Yuliang Shi, Li-zhen Cui, Calton Pu:
Performance Analysis of Cloud Computing Centers Serving Parallelizable Rendering Jobs Using M/M/c/r Queuing Systems. ICDCS 2017: 1378-1388 - [c82]Xudong Zhao, Jiwei Huang, Lei Liu, Shijun Liu, Calton Pu, Lizhen Cui:
Automated Performance Evaluation for Multi-tier Cloud Service Systems Subject to Mixed Workloads. ICDCS 2017: 2630-2631 - [c81]Shuo Zhang, Dong Yuan, Li Pan, Shijun Liu, Lizhen Cui, Xiangxu Meng:
Selling Reserved Instances through Pay-as-You-Go Model in Cloud Computing. ICWS 2017: 130-137 - [c80]Li Pan, Bo An, Shijun Liu, Lizhen Cui:
Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments. ICWS 2017: 154-163 - [c79]Xudong Zhao, Jiwei Huang, Lei Liu, Yuliang Shi, Shijun Liu, Calton Pu, Lizhen Cui:
Real-Time Soft Resource Allocation in Multi-Tier Web Service Systems. ICWS 2017: 492-499 - [c78]Lixu Shao, Yucong Duan, Lizhen Cui, Quan Zou, Xiaobing Sun:
A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph. IDEAL 2017: 444-451 - [c77]Pengcheng Jiang, Lei Liu, Lizhen Cui, Hui Li, Yuliang Shi:
Congestion Prediction of Urban Traffic Employing SRBDP. ISPA/IUCC 2017: 1099-1106 - [c76]Yongjian Ren, Lei Liu, Lizhen Cui, Yuliang Shi, Dongyu Zheng:
QoS evaluation of prioritized data plane service employing queueing model. IWQoS 2017: 1-6 - [c75]Xingyu Li, Hongjun Dai, Lizhen Cui, Ya Wang:
SonicOperator: Ultrasonic gesture recognition with deep neural network on mobiles. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-7 - 2016
- [j8]Junling Zhang, Shijun Liu, Lizhen Cui, Lei Wu, Li Pan:
A Bayesian approach to performance modelling for multi-tenant applications using Gaussian models. Int. J. High Perform. Comput. Netw. 9(1/2): 150-159 (2016) - [j7]Jian Wang, Xin-Shun Xu, Shanqing Guo, Lizhen Cui, Xiaolin Wang:
Linear unsupervised hashing for ANN search in Euclidean space. Neurocomputing 171: 283-292 (2016) - [j6]Yuliang Shi, Zhongmin Zhou, Lizhen Cui, Shijun Liu:
A Sub Chunk-Confusion Based Privacy Protection Mechanism for Association Rules in Cloud Services. Int. J. Softw. Eng. Knowl. Eng. 26(4): 539-562 (2016) - [j5]Yuliang Shi, Kaihui Zhang, Lizhen Cui, Lei Liu, Yongqing Zheng, Shidong Zhang, Han Yu:
MapReduce short jobs optimization based on resource reuse. Microprocess. Microsystems 47: 178-187 (2016) - [j4]Wenbin Zhang, Yuliang Shi, Lei Liu, Shidong Zhang, Yongqing Zheng, Lizhen Cui, Han Yu:
CTP: A scheduling strategy to smooth response time fluctuations in multi-tier website system. Microprocess. Microsystems 47: 198-208 (2016) - [c74]Cun Ji, Shijun Liu, Chenglei Yang, Lizhen Cui, Li Pan, Lei Wu, Yingbo Liu:
A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion. CLOUD 2016: 814-819 - [c73]Wei He, Hui Li, Lizhen Cui, Shuoyan Lu:
Maximizing the Availability of Process Services in Mobile Computing Environments. SCC 2016: 483-490 - [c72]Yuliang Shi, Xudong Zhao, Shanqing Guo, Shijun Liu, Li-zhen Cui:
SRConfig: An Empirical Method of Interdependent Soft Configurations for Improving Performance in n-Tier Application. SCC 2016: 601-608 - [c71]Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao:
A Fraud Resilient Medical Insurance Claim System. AAAI 2016: 4393-4394 - [c70]Chenfei Sun, Yuliang Shi, Qingzhong Li, Li-zhen Cui, Han Yu, Chunyan Miao:
A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims: (Extended Abstract). AAMAS 2016: 1287-1288 - [c69]Yi Wei, Shijun Liu, Jiao Sun, Lizhen Cui, Li Pan, Lei Wu:
Big Datasets for Research: A Survey on Flagship Conferences. BigData Congress 2016: 394-401 - [c68]Qing Wang, Wei He, Xinjun Wang, Lizhen Cui:
Quality-Assure and Budget-Aware Task Assignment for Spatial Crowdsourcing. CollaborateCom 2016: 60-70 - [c67]Shuai Zhang, Lei Liu, Hui Li, Lizhen Cui:
Collaborative Prediction Model of Disease Risk by Mining Electronic Health Records. CollaborateCom 2016: 71-82 - [c66]Yuqin Xu, Qingzhong Li, Xingpin Min, Lizhen Cui, Zongshui Xiao, Lanju Kong:
E-commerce Blockchain Consensus Mechanism for Supporting High-Throughput and Real-Time Transaction. CollaborateCom 2016: 490-496 - [c65]Changyuan Wang, Zongfei Lu, Yang Liu, Shanqing Guo, Xin-Shun Xu, Shijun Liu, Li-zhen Cui:
SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale. COMPSAC 2016: 608-613 - [c64]Shuo Zhang, Li Pan, Shijun Liu, Lei Wu, Li-zhen Cui, Dong Yuan:
An Optimal and Iterative Pricing Model for Multiclass IaaS Cloud Services. ICSOC 2016: 597-605 - [c63]Yuliang Shi, Yu Chen, Shibin Sun, Lei Liu, Lizhen Cui:
A Data Services-Based Quality Analysis System for the Life Cycle of Tire Production. ICSOC 2016: 715-729 - [c62]Yuliang Shi, Jiwei Huang, Xudong Zhao, Lei Liu, Shijun Liu, Li-zhen Cui:
Integrating Theoretical Modeling and Experimental Measurement for Soft Resource Allocation in Multi-tier Web Systems. ICWS 2016: 522-529 - [c61]Xiao-Long Liang, Xin-Shun Xu, Li-zhen Cui, Shanqing Guo, Xiaolin Wang:
SOMH: A Self-Organizing Map Based Topology Preserving Hashing Method. MMM (1) 2016: 337-348 - [c60]Xinping Min, Qingzhong Li, Lei Liu, Lizhen Cui:
A Permissioned Blockchain Framework for Supporting Instant Transaction and Dynamic Block Size. Trustcom/BigDataSE/ISPA 2016: 90-96 - [c59]Shibin Sun, Yuliang Shi, Shidong Zhang, Lizhen Cui:
A Privacy Protection Mechanism for NoSql Database Based on Data Chunks. Trustcom/BigDataSE/ISPA 2016: 829-836 - [c58]Yu Chen, Yuliang Shi, Li-zhen Cui:
Model for Hiding Data Relationships Based on Chunk-Confusion in Cloud Computing. Trustcom/BigDataSE/ISPA 2016: 837-844 - [c57]Shuai Zhang, Lei Liu, Hui Li, Zongshui Xiao, Lizhen Cui:
MTPGraph: A Data-Driven Approach to Predict Medical Risk Based on Temporal Profile Graph. Trustcom/BigDataSE/ISPA 2016: 1174-1181 - [c56]Teng Liu, Qingzhong Li, Lanju Kong, Lei Liu, Li-zhen Cui:
Optimizing Replica Exchange Strategy for Load Balancing in Multienant Databases. WAIM (2) 2016: 430-443 - [c55]Xiangzhen Xu, Jinghua Fu, Yuliang Shi, Shijun Liu, Li-zhen Cui:
Real Time Prediction on Revisitation Behaviors of Short-Term Type Commodities. WISE (1) 2016: 352-360 - [i1]Dong Yuan, Li-zhen Cui, Xiao Liu, Erjiang Fu, Yun Yang:
A Cost-Effective Strategy for Storing Scientific Datasets with Multiple Service Providers in the Cloud. CoRR abs/1601.07028 (2016) - 2015
- [j3]Jianliang Wu, Tingting Cui, Tao Ban, Shanqing Guo, Lizhen Cui:
PaddyFrog: systematically detecting confused deputy vulnerability in Android applications. Secur. Commun. Networks 8(13): 2338-2349 (2015) - [c54]Tingting Lu, Shifeng Hou, Zhenxiang Chen, Lizhen Cui, Lei Zhang:
An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining. CIT/IUCC/DASC/PICom 2015: 837-842 - [c53]Wenbin Zhang, Yuliang Shi, Lei Liu, Lizhen Cui, Yongqing Zheng:
Performance and Resource Prediction at High Utilization for N-Tier Service Systems in Cloud an Experiment Driven Approach. CIT/IUCC/DASC/PICom 2015: 843-848 - [c52]Shuangshuang Guo, Lizhen Cui, Shijun Liu, Calton Pu:
Combining Fine-Grained Analysis and Scheduling to Smooth Response Time Fluctuations in Multi-tier Services. SCC 2015: 750-753 - [c51]Yao Yang, Xin-Shun Xu, Xiaolin Wang, Shanqing Guo, Lizhen Cui:
Hashing Multi-Instance Data from Bag and Instance Level. APWeb 2015: 437-448 - [c50]Wei He, Guozhen Ren, Lizhen Cui, Hui Li:
User Behavioral Context-Aware Service Recommendation for Personalized Mashups in Pervasive Environments. APWeb 2015: 683-694 - [c49]Cuixia Yang, Chaoshun Zuo, Shanqing Guo, Chengyu Hu, Lizhen Cui:
UI Ripping in Android: Reverse Engineering of Graphical User Interfaces and its Application. CIC 2015: 160-167 - [c48]Zhongmin Zhou, Yuliang Shi, Honglei Zhang, Lizhen Cui:
Evaluation Mechanism of Privacy Protection on Dynamic Data Targeted at Data Partition. HPCC/CSS/ICESS 2015: 1524-1529 - [c47]Zongshui Xiao, Wenbin Zhang, Qingzhong Li, Lei Liu, Li-zhen Cui:
A Method of E-Commerce Trading Process Construction Based on PaaS Platform. ICEBE 2015: 220-227 - [c46]Chenfei Sun, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Hui Li, Wei Wei:
An Effective Hybrid Fraud Detection Method. KSEM 2015: 563-574 - [c45]Boyang Li, Han Yu, Zhiqi Shen, Lizhen Cui, Victor R. Lesser:
An Evolutionary Framework for Multi-agent Organizations. WI-IAT (2) 2015: 35-38 - 2014
- [j2]Tiantian Zhang, Lizhen Cui, Meng Xu:
A LNS-based data placement strategy for data-intensive e-science applications. Int. J. Grid Util. Comput. 5(4): 249-262 (2014) - [c44]Huihui Cai, Li-zhen Cui, Yuliang Shi, Lanju Kong, Zhongmin Yan:
Multi-tenant Service Composition Based on Granularity Computing. IEEE SCC 2014: 669-676 - [c43]Zongshui Xiao, Wei He, Ting Li, Li-zhen Cui:
A context-based collaboration supported framework for E-commerce PaaS platform. CSCWD 2014: 253-258 - [c42]Wei He, Qingzhong Li, Li-zhen Cui, Ting Li:
A Context-Based Autonomous Construction Approach for Procedural Mashups. ICWS 2014: 487-494 - [c41]Haibo Zhang, Chaoshun Zuo, Shanqing Guo, Lizhen Cui, Jun Chen:
SafeBrowsingCloud: Detecting Drive-by-Downloads Attack Using Cloud Computing Environment. IOV 2014: 292-303 - [c40]Dong Yuan, Lizhen Cui, Xiao Liu:
Cloud Data Management for Scientific Workflows: Research Issues, Methodologies, and State-of-the-Art. SKG 2014: 21-28 - 2013
- [j1]Dong Yuan, Yun Yang, Xiao Liu, Wenhao Li, Li-zhen Cui, Meng Xu, Jinjun Chen:
A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud. IEEE Trans. Parallel Distributed Syst. 24(6): 1234-1244 (2013) - [c39]Dong Yuan, Xiao Liu, Li-zhen Cui, Tiantian Zhang, Wenhao Li, Dahai Cao, Yun Yang:
An Algorithm for Cost-Effectively Storing Scientific Datasets with Multiple Service Providers in the Cloud. e-Science 2013: 285-292 - 2012
- [c38]Tiantian Zhang, Yuliang Shi, Meng Xu, Li-zhen Cui:
A Service Provisioning Strategy Based on SPEA2 for SaaS Applications in Cloud. CGC 2012: 290-295 - [c37]Li-zhen Cui, Jian Li, Yongqing Zheng:
A Dynamic Web Service Composition Method Based on Viterbi Algorithm. ICWS 2012: 267-271 - [c36]Guozhen Ren, Qingzhong Li, Yuliang Shi, Li-zhen Cui:
A Confidentiality-Guarantee Mechanism for SaaS. IWEI 2012: 71-80 - [c35]Lizhen Cui, Meng Xu:
A QoS-Aware Hyper-graph Based Method of Semantic Service Composition. IWEI 2012: 81-91 - [c34]Yongqing Zheng, Jinshan Pang, Jian Li, Li-zhen Cui:
Business Process Oriented Platform-as-a-Service Framework for Process Instances Intensive Applications. IPDPS Workshops 2012: 2320-2327 - 2011
- [c33]Jinshan Pang, Li-zhen Cui, Yongqing Zheng, Haiyang Wang:
A workflow-oriented cloud computing framework and programming model for data intensive application. CSCWD 2011: 356-361 - [c32]Li-zhen Cui, Junjie Tian, Haiyang Wang, Qingzhong Li:
Service cooperation in PaaS platform based on planning method. CSCWD 2011: 367-374 - [c31]Li-zhen Cui, Zongmin Shang, Yuliang Shi:
A Transaction Management Model Based on Compensation Planning Graph for Web Services Composition. ICWS 2011: 275-282 - [c30]Yuliang Shi, Kun Zhang, Bing Liu, Li-zhen Cui:
A New QoS Prediction Approach Based on User Clustering and Regression Algorithms. ICWS 2011: 726-727 - [c29]Wei He, Li-zhen Cui:
An Adaptive Distribution Model for Multi-dimensional Data in Decentralized Environments. WISM (1) 2011: 175-183 - 2010
- [c28]Ningning Mao, Lizhen Cui:
SMART: A platform for cross-domain business process collaboration. CSCWD 2010: 195-200 - [c27]Mi Wang, Li-zhen Cui:
An impact analysis model for distributed Web service proces. CSCWD 2010: 351-355 - [c26]Wei He, Lixin Du, Haiyang Wang, Li-zhen Cui:
A Multi-Dimensional Measuring Model for E-travel Service in Decentralized Network. ICEE 2010: 238-241 - [c25]Wei He, Yongqing Zheng, Li-zhen Cui:
An efficient service search strategy in decentralized e-business environments. NCM 2010: 118-122
2000 – 2009
- 2009
- [c24]Li-zhen Cui, Haiyang Wang:
Automatic Generation of Processes Based on Processes Semantic for Smartflow Pattern. APWeb/WAIM Workshops 2009: 132-137 - [c23]Meng Xu, Li-zhen Cui, Haiyang Wang, Yanbing Bi, Ji Bian:
A Data-Intensive Workflow Scheduling Algorithm for Grid Computing. ChinaGrid 2009: 110-115 - [c22]Xianzhi Huang, Li-zhen Cui, Haiyang Wang, Wenjing Cui:
Towards a Decentralized Cooperative BRMS for Service Collaborative Enterprise. CSCWD 2009: 66-71 - [c21]Li-zhen Cui, Meng Xu, Haiyang Wang:
A data-intensive workflow scheduling algorithm for large-scale cooperative work platform. CSCWD 2009: 486-491 - [c20]Shun Han, Haiyang Wang, Li-zhen Cui:
A User Experience-Oriented Service Discovery Method with Clustering Technology. ISCID (2) 2009: 64-67 - [c19]Meng Xu, Li-zhen Cui, Haiyang Wang, Yanbing Bi:
A Multiple QoS Constrained Scheduling Strategy of Multiple Workflows for Cloud Computing. ISPA 2009: 629-634 - 2007
- [c18]Dong Yuan, Miao Du, Haiyang Wang, Li-zhen Cui:
Automatic Generation of Web Service Workflow Using a Probability Based Process-Semantic Repository. APWeb/WAIM Workshops 2007: 504-509 - [c17]Fenghua Guo, Caiming Zhang, Li-zhen Cui:
Sketching Interfaces for Remote Collaboration. CSCWD 2007: 63-68 - [c16]Li-zhen Cui, Xiaoguang Hong, Haiyang Wang, Xinjun Wang, Yongping Wang:
Multi-group Cooperation Support for Software Design Process. CSCWD 2007: 127-132 - [c15]Qing Yao, Li-zhen Cui, Haiyang Wang:
Toward Cooperative Designing of Customized Business Process in Web Service Environment. CSCWD 2007: 258-263 - [c14]Guozhen Ren, Qingzhong Li, Li-zhen Cui, Tiangang Dong:
Discovering the Most Suitable Web Service in Collaboration Environment. CSCWD (Selected Papers) 2007: 331-341 - [c13]Wenjing Cui, Haiyang Wang, Qi Sui, Li-zhen Cui:
Trust Management Model and Evaluation Method for Online Travel. CSCWD (Selected Papers) 2007: 477-487 - [c12]Hui Li, Haiyang Wang, Li-zhen Cui:
Automatic Composition of Web Services Based on Rules and Meta-Services. CSCWD 2007: 496-501 - [c11]Tiangang Dong, Qingzhong Li, Kangkang Zhang, Li-zhen Cui:
An Extended Matching Method for Semantic Web Service in Collaboration Environment. CSCWD 2007: 508-513 - [c10]Desheng Li, Haiyang Wang, Li-zhen Cui, Kanglin Gao:
Collaborative Design of Web Services Composition Process based Peer-to-Peer Architecture. CSCWD 2007: 525-530 - [c9]Songze Qiu, Haiyang Wang, Li-zhen Cui:
A New Concept Relatedness Measure of Heterogeneous Ontologies in Collaborative System. CSCWD 2007: 663-668 - [c8]Wei He, Haiyang Wang, Li-zhen Cui:
A Groupware-supported Workflow Model and its Applications in Electric Power Enterprise. CSCWD 2007: 789-794 - [c7]Yongquan Dong, Qingzhong Li, Li-zhen Cui:
Research on the framework based on web service and ontology for sharing parts library in virtual enterprise. CSCWD 2007: 900-903 - [c6]Zongmin Shang, Li-zhen Cui, Haiyang Wang:
A Collaborative Framework for Exception Handling in Business Process Execution. CSCWD 2007: 914-919 - [c5]Kun Zhang, Li-zhen Cui, Haiyang Wang, Qi Sui:
An Improvement of Matrix-based Clustering Method for Grouping Learners in E-Learning. CSCWD 2007: 1010-1015 - 2005
- [c4]Li-zhen Cui, Haiyang Wang:
Vector Retrieval Model for XML Document Based on Dynamic Partition of Information Units. AWIC 2005: 114-119 - [c3]Li-zhen Cui, Haiyang Wang:
Business processes management based on stratified grid. CSCWD (1) 2005: 170-174 - [c2]Kangkang Zhang, Qingzhong Li, Li-zhen Cui:
Semantic Web service-based application integration framework for supporting collaborative design. CSCWD (2) 2005: 1194-1198 - 2004
- [c1]Li-zhen Cui, Haiyang Wang:
Research on Cooperative Workflow Management Systems. CSCWD (Selected papers) 2004: 359-367
Coauthor Index
Nguyen Quoc Viet Hung
aka: Quoc Viet Hung Nguyen
aka: Quoc Viet Hung Nguyen
[j122] [c244] [c242] [j96] [j92] [j89] [c219] [c196] [j82] [j80] [j78] [c179] [c178] [i30] [c171] [c166] [c158] [c156] [i21] [i13] [i12] [j40] [c151] [c143] [c133] [c132] [j29] [j28] [j26] [c118] [c116] [j19] [j16] [c102] [c100] [c98] [c95] [j10] [c92] [c91] [c90] [c87] [c86] [c85] [c82] [c79] [c77] [c76] [j5] [j4] [c67] [c63] [c62] [c60] [c57] [c56] [c53] [c47]
[j121] [j120] [j117] [j114] [j104] [j103] [c241] [c239] [c238] [c234] [c228] [c225] [i50] [j95] [j94] [j93] [j89] [j88] [c220] [c217] [c215] [c214] [c213] [c211] [c210] [c209] [c208] [c207] [c206] [c205] [c203] [c202] [c198] [i46] [i42] [i37] [i36] [j80] [c193] [c191] [c190] [c189] [c188] [c187] [c186] [c185] [c184] [c183] [c180] [c177] [i32] [i29] [i28] [c171] [c170] [c164] [c163] [c162] [c160] [i15]
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