陈震鹏-清华大学软件学院

师资队伍

姓名: 陈震鹏

职称: 助理教授

电子邮件: zpchen@tsinghua.edu.cn

工作地点: 清华大学东配楼11区318室

研究领域: 智能化软件工程、可信人工智能

个人简介: 清华大学软件学院助理教授、博士生导师，国家级青年人才计划入选者。主要研究方向为软件工程、人工智能，聚焦可信智能化软件研究。发表CCF-A类论文40余篇，曾获WWW最佳论文奖（中国首个）、ACM SIGSOFT杰出论文奖、ESI高被引论文、微软学者、CCF优博、北京市优博等荣誉。研究成果被人民日报、ACM通讯等媒体广泛报道。长期受邀担任ICSE、FSE、WWW、KDD等国际会议程序委员及TSE、TOSEM、TMC等国际期刊审稿人，6次获得国际会议、期刊的杰出程序委员奖和审稿人奖。（欢迎加入课题组攻读硕士、博士或进行博士后研究工作）

个人主页: https://chenzhenpeng18.github.io

教育背景

2016年9月至2021年7月，北京大学计算机软件与理论专业，博士

2013年9月至2016年7月，北京大学经济学专业，学士（双学位）

2012年9月至2016年7月，北京大学计算机科学与技术专业，学士

工作履历

2025年12月至今，清华大学软件学院，助理教授

2024年2月至2025年11月，新加坡南洋理工大学，研究员

2021年9月至2024年2月，英国伦敦大学学院，研究员

学术兼职

国际会议组织委员：Internetware'24 Tool Demo Track主席

CCF-A类国际会议程序委员：ICSE'26/25, FSE'26, ISSTA'26, ASE'25/24/23, WWW'26/25/24/23, KDD'25/24/23等

CCF-A类国际期刊审稿人：IEEE TSE, ACM TOSEM, IEEE TMC, IEEE TSC等

奖励与荣誉

2025年，国家自然科学基金优秀青年科学基金项目（海外）

2025年，ICSE杰出程序委员奖（CCF-A类会议）

2025年，KDD杰出审稿人奖（CCF-A类会议）

2024年，ESI高被引论文

2024年，Internetware杰出程序委员奖

2023年，ACM SIGSOFT杰出论文奖

2023年，ASE杰出程序委员奖（CCF-A类会议）

2023年，TOSEM杰出审稿人奖（CCF-A类期刊）

2022年，中国计算机学会优秀博士学位论文

2022年，北京市优秀博士学位论文

2022年，TWEB杰出审稿人奖

2020年，北京大学“五·四奖章”（北京大学学生最高荣誉）

2020年，北京大学年度人物

2019年，微软学者（中国大陆每年6-7人）

2019年，WWW最佳论文奖（一作，中国首个，CCF-A类会议）

学术成果

陈震鹏. 基于泛在交互文本的用户情境解析技术研究. 机械工业出版社, ISBN: 9787111752127, 出版时间: 2024-05-01, 页数: 216.

[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). （被ACM通讯等报道）

[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). （被人民日报等报道）

[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). （中国首个WWW最佳论文奖）

[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).