| 2026 | AAAI | BAMAS: Structuring Budget-Aware Multi-Agent Systems. | Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen |
| 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 |
| 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 | ICSE | Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework. | Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhang, Yang Liu |
| 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 | Dissecting Global Search: A Simple Yet Effective Method to Boost Individual Discrimination Testing and Repair. | Lili Quan, Tianlin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiaohong Li |
| 2025 | ICSE | Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness. | Weisong Sun, Yuchen Chen, Mengzhe Yuan, Chunrong Fang, Zhenpeng Chen, Chong Wang, Yang Liu, Baowen Xu, Zhenyu Chen |
| 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 | 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 |
| 2023 | MSR | AutoML from Software Engineering Perspective: Landscapes and Challenges. | Chao Wang, Zhenpeng Chen, Minghui Zhou |
| 2021 | ICSE | An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. | Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu |
| 2021 | WWW | Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. | Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu |
| 2020 | AAAI | Solving Sequential Text Classification as Board-Game Playing. | Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua |
| 2020 | IJCAI | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). | Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2019 | WWW | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. | Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2018 | WWW | Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. | Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu |