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2020 – today
- 2024
[c22]Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Prateeti Mohapatra, Brent Paulovicks, Brad Blancett, Arthur De Magalhaes:
CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation. CLOUD 2024: 404-410- [i9]Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Prateeti Mohapatra, Brent Paulovicks, Brad Blancett, Arthur De Magalhaes:
CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation. CoRR abs/2408.15630 (2024) - [i8]Oishik Chatterjee, Pooja Aggarwal, Suranjana Samanta, Ting Dai, Prateeti Mohapatra, Debanjana Kar, Ruchi Mahindru, Steve Barbieri, Eugen Postea, Brad Blancett, Arthur De Magalhaes:
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement. CoRR abs/2409.17166 (2024) - 2022
- [j12]Ting Dai
, Shiyou Xu, Biao Tian, Jun Hu, Yue Zhang, Zengping Chen:
Extraction of Micro-Doppler Feature Using LMD Algorithm Combined Supplement Feature for UAVs and Birds Classification. Remote. Sens. 14(9): 2196 (2022) - [j11]Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong:
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling. IEEE Trans. Software Eng. 48(9): 3593-3612 (2022) - [c21]Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow:
GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning. MMSys 2022: 150-163 - [c20]Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong:
Repairing Adversarial Texts Through Perturbation. TASE 2022: 29-48 - [i7]Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong:
Repairing Adversarial Texts through Perturbation. CoRR abs/2201.02504 (2022) - 2021
- [c19]Bing Sun, Jun Sun, Ting Dai, Lijun Zhang:
Probabilistic Verification of Neural Networks Against Group Fairness. FM 2021: 83-102 - [c18]Guoliang Dong, Jun Sun, Xingen Wang, Xinyu Wang, Ting Dai:
Towards Repairing Neural Networks Correctly. QRS 2021: 714-725 - [i6]Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu:
Rethinking Natural Adversarial Examples for Classification Models. CoRR abs/2102.11731 (2021) - [i5]Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong:
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling. CoRR abs/2107.08176 (2021) - [i4]Bing Sun, Jun Sun, Ting Dai, Lijun Zhang:
Probabilistic Verification of Neural Networks Against Group Fairness. CoRR abs/2107.08362 (2021) - [i3]Jingzhu He, Ting Dai, Xiaohui Gu:
TFix+: Self-configuring Hybrid Timeout Bug Fixing for Cloud Systems. CoRR abs/2110.04101 (2021) - 2020
- [j10]Ting Dai, Lujia Ni, Qiang Luo:
Diagnosis method of ultrasonic elasticity image of peripheral lung cancer based on genetic algorithm. Neural Comput. Appl. 32(24): 18315-18325 (2020) - [j9]Haiping Huang, Qinglong Huang, Fu Xiao, Wenming Wang, Qi Li, Ting Dai:
An Improved Broadcast Authentication Protocol for Wireless Sensor Networks Based on the Self-Reinitializable Hash Chains. Secur. Commun. Networks 2020: 8897282:1-8897282:17 (2020) - [c17]Jingzhu He, Ting Dai, Xiaohui Gu, Guoliang Jin:
HangFix: automatically fixing software hang bugs for production cloud systems. SoCC 2020: 344-357 - [c16]Ting Dai, Alexei A. Karve, Grzegorz Koper, Sai Zeng:
Automatically detecting risky scripts in infrastructure code. SoCC 2020: 358-371 - [c15]Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Ting Dai:
An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks. ICECCS 2020: 73-82 - [c14]Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai:
White-box fairness testing through adversarial sampling. ICSE 2020: 949-960 - [c13]Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang:
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction. ASE 2020: 499-510 - [i2]Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai:
Towards Repairing Neural Networks Correctly. CoRR abs/2012.01872 (2020)
2010 – 2019
- 2019
- [j8]Ting Dai, Daniel Joseph Dean, Peipei Wang, Xiaohui Gu, Shan Lu:
Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures. IEEE Trans. Parallel Distributed Syst. 30(1): 107-118 (2019) - [c12]Hui Kang, Ting Dai, Nerla Jean-Louis, Shu Tao, Xiaohui Gu:
FabZK: Supporting Privacy-Preserving, Auditable Smart Contracts in Hyperledger Fabric. DSN 2019: 543-555 - [c11]Olufogorehan Tunde-Onadele, Jingzhu He, Ting Dai, Xiaohui Gu:
A Study on Container Vulnerability Exploit Detection. IC2E 2019: 121-127 - [c10]Jingzhu He, Ting Dai, Xiaohui Gu:
TFix: Automatic Timeout Bug Fixing in Production Server Systems. ICDCS 2019: 612-623 - [i1]Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong:
Analyzing Recurrent Neural Network by Probabilistic Abstraction. CoRR abs/1909.10023 (2019) - 2018
- [c9]Ting Dai, Jingzhu He, Xiaohui Gu, Shan Lu, Peipei Wang:
DScope: Detecting Real-World Data Corruption Hang Bugs in Cloud Server Systems. SoCC 2018: 313-325 - [c8]Ting Dai, Jingzhu He, Xiaohui Gu, Shan Lu:
Understanding Real-World Timeout Problems in Cloud Server Systems. IC2E 2018: 1-11 - [c7]Jingzhu He, Ting Dai, Xiaohui Gu:
TScope: Automatic Timeout Bug Identification for Server Systems. ICAC 2018: 1-10 - 2017
- [j7]Ting Dai, Xiaolei Li, Behnaz Hassanshahi, Roland H. C. Yap, Zhenkai Liang:
RoppDroid: Robust permission re-delegation prevention in Android inter-component communication. Comput. Secur. 68: 98-111 (2017) - [c6]Ting Dai, Daniel Dean, Peipei Wang, Xiaohui Gu, Shan Lu:
Hytrace: a hybrid approach to performance bug diagnosis in production cloud infrastructures. SoCC 2017: 641 - 2016
- [j6]Decheng Wen, Jie Lv, Xiao Chen, Ting Dai:
A dynamic analysis on implementing performance excellence model: Importance, achievement and correlations. Comput. Ind. Eng. 101: 338-351 (2016) - [j5]Ting Dai, Decheng Wen, Xiao Chen:
An Empirical Study on the Customer Channel Choice Behavior in the Overall Process of Shopping Under O2O Mode. Int. J. Web Portals 8(1): 13-31 (2016) - [j4]Haiping Huang, Tianhe Gong, Tao Chen, Mingliang Xiong, Xinxing Pan, Ting Dai:
An Improved μTESLA Protocol Based on Queuing Theory and Benaloh-Leichter SSS in WSNs. J. Sensors 2016: 9021650:1-9021650:13 (2016) - 2015
- [j3]Hong-Liang Dai, Ting Dai, Xiang Yan:
Thermoelastic analysis for rotating circular HSLA steel plates with variable thickness. Appl. Math. Comput. 268: 1095-1109 (2015) - [c5]Damian Morden-Snipper, Ting Dai, Julie L. Booth, Briana Chang, Jennifer Cromley, Nora S. Newcombe:
Cognitive Factors and Representation Strategies In Sketching Math Diagrams. CogSci 2015 - 2014
- [c4]Ting Dai, Mingwei Zhang, Roland H. C. Yap, Zhenkai Liang:
Understanding Complex Binary Loading Behaviors. ICECCS 2014: 49-58 - 2013
- [j2]Ting Dai, Haiping Huang, Lu Yang, Ruchuan Wang, Xinxing Pan:
Research on Migration Strategy of Mobile Agent in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - 2012
- [c3]Ting Dai, Sai Sathyanarayan, Roland H. C. Yap, Zhenkai Liang:
Detecting and Preventing ActiveX API-Misuse Vulnerabilities in Internet Explorer. ICICS 2012: 373-380 - 2011
- [c2]Ting Dai, Miao Zhang, Dexian Zhang:
On the intelligent detection of insects in stored grain. EMEIT 2011: 2427-2430
2000 – 2009
- 2009
- [c1]Shen Wang, Yu Chen, Wei Jiang, Peng Li, Ting Dai, Yan Cui:
Fairness and Interactivity of Three CPU Schedulers in Linux. RTCSA 2009: 172-177 - 2008
- [j1]Ming-Fang Zhu, Ting Dai, Sung-Yoon Lee, Chun-Pyo Hong:
Modeling of solutal dendritic growth with melt convection. Comput. Math. Appl. 55(7): 1620-1628 (2008)
Coauthor Index
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