| 2026 | AAAI | Fairness Aware Reinforcement Learning via Proximal Policy Optimization. | Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black |
| 2026 | AAAI | DSCodeBench: A Realistic Benchmark for Data Science Code Generation. | Shuyin Ouyang, Dong Huang, Jingwen Guo, Zeyu Sun, Qihao Zhu, Jie M. Zhang |
| 2026 | ACL | TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation. | Zhihao Gong, Zeyu Sun, Dong Huang, Qingyuan Liang, Jie M. Zhang, Dan Hao |
| 2026 | ACL | EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents. | Yaoqi Guo, Ying Xiao, Jie M. Zhang, Mark Harman, Yiling Lou, Yang Liu, Zhenpeng Chen |
| 2026 | ACL | A Study of LLMs' Preferences for Libraries and Programming Languages. | Lukas Twist, Jie M. Zhang, Mark Harman, Don Syme, Joost Noppen, Helen Yannakoudakis, Detlef D. Nauck |
| 2026 | MSR | Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests. | Jingzhi Gong, Giovanni Pinna, Yixin Bian, Jie M. Zhang |
| 2026 | MSR | A Study of Library Usage in Agent-Authored Pull Requests. | Lukas Twist, Jie M. Zhang |
| 2025 | ACL | Personality-Guided Code Generation Using Large Language Models. | Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma |
| 2025 | ACL | LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. | Kaibo Liu, Zhenpeng Chen, Yiyang Liu, Jie M. Zhang, Mark Harman, Yudong Han, Yun Ma, Yihong Dong, Ge Li, Gang Huang |
| 2025 | APSEC | CAMUS: Context-Aware Neural Mutation Selection. | Mingda Chen, Bo Wang, Youfang Lin, Jie M. Zhang |
| 2025 | ICSE | Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software. | Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu |
| 2025 | ICSE | Knowledge-Enhanced Program Repair for Data Science Code. | Shuyin Ouyang, Jie M. Zhang, Zeyu Sun, Albert Meroo-Peuela |
| 2024 | ICSE | Fairness Improvement with Multiple Protected Attributes: How Far Are We? | Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman |
| 2024 | MSR | TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. | Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma |
| 2023 | ICSE | Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. | Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao |
| 2023 | ISSTA | Who Judges the Judge: An Empirical Study on Online Judge Tests. | Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma |
| 2022 | ICSE | Improving Machine Translation Systems via Isotopic Replacement. | Zeyu Sun, Jie M. Zhang, Yingfei Xiong, Mark Harman, Mike Papadakis, Lu Zhang |
| 2022 | MSR | GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. | Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon |
| 2021 | ICSE | "Ignorance and Prejudice" in Software Fairness. | Jie M. Zhang, Mark Harman |
| 2020 | ICSE | Automatic testing and improvement of machine translation. | Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang |
| 2020 | ICSE | Automatic Improvement of Machine Translation Using Mutamorphic Relation: Invited Talk Paper. | Jie M. Zhang |
| 2019 | ICST | Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness? | Jie M. Zhang, Lingming Zhang, Dan Hao, Meng Wang, Lu Zhang |
| 2019 | ICST | An Empirical Comparison of Mutant Selection Assessment Metrics. | Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman |