Basil: Effective Seed Enhancement for Fuzzing Multisample Data-Augmented Deep Learning Models
Haipeng Wang, Qilin Zhou, Zhengyuan Wei, and W.K. Chan
in submission.

Trustable and Continous-Improving Question Answering System for Teaching and Learning
Zhengyuan Wei, Albert T.L. Lee, Victor C. S. Lee, King Hang Lam, Vincent W.L. Tam, and S.M. Yiu
in submission.

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models
Haipeng Wang, Zhengyuan Wei, Qilin Zhou, and W.K. Chan
Journal of ACM Transactions on Software Engineering and Methodology (TOSEM), 2024, [ DOI ]

A3Rank: Augmentation Alignment Analysis of Test Case Prioritization for Deep Learning Models
Zhengyuan Wei, Haipeng Wang, Qilin Zhou, and W.K. Chan
published in arXiv, 2024, [ Preprint ]

Toward AI-facilitated Learning Cycle in Integration Course through Pair Programming with AI Agents
Zhengyuan Wei, T.L. Lee, C.S. Lee, and W.K. Chan
in Proceedings of Conference on Software Engineering Education and Training (CSEE&T), 2024, [ Code / DOI ]

Introduction to Teaching and Learning with Chatbots Powered by Student-In-the-Loop Knowledge Bases
Zhengyuan Wei, Alex Kiang, T.L. Lee, S.M. Yiu, C.S. Lee, and K.H. Lam
presented in Hong Kong Teaching Excellence Alliance (HKTEA), 2024, [ Link / Poster ]

CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models
Qilin Zhou, Zhengyuan Wei, Haipeng Wang, Bo Jiang, and W.K. Chan
in Proceedings of ACM International Conference on the Foundations of Software Engineering (FSE), 2024, [ Preprint / DOI ]

DeepPatch: Maintaining Deep Learning Model Programs to Retain Standard Accuracy with Substantial Robustness Improvement
Zhengyuan Wei, Haipeng Wang, Imran Ashraf, and Wing-Kwong Chan
Journal of ACM Transactions on Software Engineering and Methodology (TOSEM), 2023, [ DOI / Code ]

A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models
Qilin Zhou, Zhengyuan Wei, Haipeng Wang, and W.K. Chan
in Proceedings of IEEE/ACM International Conference on Automated Software Engineering: NIER Track (NIER@ASE), 2023, [ Preprint / DOI ]

Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models
Haipeng Wang, Zhengyuan Wei, Qilin Zhou, Bo Jiang, and W.K. Chan
in Proceedings of IEEE International Conference on Software Quality, Reliability and Security (QRS), 2023, [ DOI ]

Predictive Mutation Analysis of Test Case Prioritization for Deep Neural Networks
Zhengyuan Wei, Haipeng Wang, Imran Ashraf, and W.K. Chan
in Proceedings of IEEE International Conference on Software Quality, Reliability and Security (QRS), 2022, [ DOI / Code ]

SEbox4DL: A Modular Software Engineering Toolbox for Deep Learning Models
Zhengyuan Wei, Haipeng Wang, Zhen Yang, and W.K. Chan
in Proceedings of IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (DEMO@ICSE), 2022, [ DOI / Code ]

Fuzzing Deep Learning Models against Natural Robustness with Filter Coverage
Zhengyuan Wei and W.K. Chan
in Proceedings of IEEE International Conference on Software Quality, Reliability and Security (QRS), 2021, [ DOI / Code ]

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, and Miao Zhang
in Proceedings of IEEE/ACM International Conference on Program Comprehension (ICPC), 2021, [ DOI ]

Execution Repair for Spark Programs by Active Maintenance of Partition Dependency
Xiupei Mei, Imran Ashraf, Xiaoxue Ma, Hao Zhang, Zhengyuan Wei, Haipeng Wang, and W.K. Chan
Journal of IEEE Access, 2021, [ DOI ]

BlockRace: A Big Data Approach to Dynamic Blockbased Data Race Detection for Multithreaded Programs
Xiupei Mei, Zhengyuan Wei, Hao Zhang, and W.K. Chan
in Proceedings of IEEE/ACM International Conference on Automation of Software Test (AST), 2020, [ DOI ]