Education

2016.09-2021.07, Peking University, Ph.D. in Computer Software and Theory

2012.09-2016.07, Peking University, B.S. in Computer Science

2013.09-2016.07, Peking University, B.A. in Economics (dual degree)

Experience

2025.12-Now, Tsinghua University, Assistant Professor

2024.02-2025.11, Nanyang Technological University, Research Fellow

2021.09-2024.02, University College London, Research Fellow

Academic Services

Organization Committee Member: Internetware'24 Tool Demo Track Co-Chair

Program Committee Member: ICSE'26/25, FSE'26, ISSTA'26, ASE'25/24/23, WWW'26/25/24/23, KDD'25/24/23...

Journal Reviewer: IEEE TSE, ACM TOSEM, IEEE TMC, IEEE TSC...

Honors and Awards

2025, ICSE Distinguished Reviewer Award

2025, KDD Outstanding Reviewer Award

2024, ESI Highly Cited Paper

2024, Internetware Distinguished Reviewer Award

2023, ACM SIGSOFT Distinguished Paper Award

2023, ASE Distinguished Program Committee Member Award

2023, TOSEM Distinguished Reviewer Award

2022, Outstanding Doctoral Dissertation Award of CCF

2022, Outstanding Doctoral Dissertation Award of Beijing

2022, TWEB Distinguished Reviewer Award

2020, May 4th Medal, Peking University (Highest honor at Peking University)

2020, People of the Year, Peking University

2019, Microsoft Research Fellowship

2019, WWW Best Paper Award (First WWW Best Paper from China)

Publications

[AAAI’26, CCF-A] Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen*. BAMAS: Structuring Budget-Aware Multi-Agent Systems. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).

[ACL’25, CCF-A] Yaoqi Guo, Zhenpeng Chen*, Jie M. Zhang, Yang Liu, Yun Ma*. Personality-Guided Code Generation Using Large Language Models. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025).

[ACL’25, CCF-A] Kaibo Liu, Zhenpeng Chen*, Yiyang Liu, Jie Zhang, Mark Harman, Yudong Han, Yun Ma, Yihong Dong, Ge Li*, Gang Huang. LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025).

[TOSEM’25, CCF-A] Jinfeng Wen, Zhenpeng Chen*, Federica Sarro, Zixi Zhu, Yi Liu, Haodi Ping*, Shangguang Wang. LLM-Based Misconfiguration Detection for AWS Serverless Computing. ACM Transactions on Software Engineering and Methodology (TOSEM 2025).

[ICSE’25, CCF-A] Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu. Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software. The 47th International Conference on Software Engineering (ICSE 2025).

[FSE’25, CCF-A] Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Weisong Sun, Ying Xiao, Tianlin Li, Yiling Lou, Yang Liu. Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game?. Proceedings of the ACM on Software Engineering (FSE 2025).

[TOSEM’25, CCF-A] Xinyue Li, Zhenpeng Chen*, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu. Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems. ACM Transactions on Software Engineering and Methodology (TOSEM 2025).

[TOSEM’25, CCF-A] Qipeng Wang, Shiqi Jiang*, Zhenpeng Chen*, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma*, Ting Cao, Xuanzhe Liu. Anatomizing Deep Learning Inference in Web Browsers. ACM Transactions on Software Engineering and Methodology (TOSEM 2025).

[ICSE’24, CCF-A] Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman. Fairness Improvement with Multiple Protected Attributes: How Far Are We?. The 46th International Conference on Software Engineering (ICSE 2024).

[TOSEM’24, CCF-A] Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro. Fairness Testing: A Comprehensive Survey and Analysis of Trends. ACM Transactions on Software Engineering and Methodology (TOSEM 2024).

[TOSEM’24, CCF-A] Zeyu Sun, Zhenpeng Chen*, Jie M. Zhang, Dan Hao. Fairness Testing of Machine Translation Systems. ACM Transactions on Software Engineering and Methodology (TOSEM 2024).

[TOSEM’24, CCF-A] Yiling Lou, Jun Yang, Samuel Benton, Dan Hao, Lin Tan, Zhenpeng Chen*, Lu Zhang, Lingming Zhang. When Automated Program Repair Meets Regression Testing – An Extensive Study on Two Million Patches. ACM Transactions on Software Engineering and Methodology (TOSEM 2024).

[TOSEM’24, CCF-A] Xuanzhe Liu, Chengxu Yang, Ding Li*, Yuhan Zhou, Shaofei Li, Jiali Chen, Zhenpeng Chen*. Adonis: Control Flow Recovery through OS-Level Traces. In ACM Transactions on Software Engineering and Methodology (TOSEM 2024).

[TOSEM’23, CCF-A] Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman. A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers. ACM Transactions on Software Engineering and Methodology (TOSEM 2023).

[TOSEM’23, CCF-A] Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen*, Ding Li*, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin. FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing. ACM Transactions on Software Engineering and Methodology (TOSEM 2023).

[TOSEM’23, CCF-A] Jinfeng Wen, Zhenpeng Chen*, Xin Jin*, Xuanzhe Liu*. Rise of the Planet of Serverless Computing: A Systematic Review. ACM Transactions on Software Engineering and Methodology (TOSEM 2023).

[ISSTA’23, CCF-A] Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen*, Federica Sarro, Mark Harman, Gang Huang, Yun Ma*. Who Judges the Judge: An Empirical Study on Online Judge Tests. The 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2023).

[FSE’22, CCF-A] Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman. MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2022).

[ICSE’21, CCF-A] Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu. An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. The 43rd International Conference on Software Engineering (ICSE 2021).

[TOSEM’21, CCF-A] Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, Xuanzhe Liu. Emoji-Powered Sentiment and Emotion Detection from Software Developers’ Communication Data. ACM Transactions on Software Engineering and Methodology (TOSEM 2021).

[FSE’20, CCF-A] Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu. A Comprehensive Study on Challenges in Deploying Deep Learning Based Software. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2020).

[FSE’19, CCF-A] Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2019).

[WWW’19, CCF-A] Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. The 2019 Web Conference (WWW 2019). Best Paper Award.

[WWW’18, CCF-A] Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu. Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. The 2018 Web Conference (WWW 2018).