Publications

* denotes that I am the corresponding or co-corresponding author.

  • [Preprint] Large Language Model-Based Agents for Software Engineering: A Survey
    Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou.
    Paper Project

  • [Preprint] Security of Language Models for Code: A Systematic Literature Review
    Yuchen Chen, Weisong Sun, Chunrong Fang, Zhenpeng Chen, Yifei Ge, Tingxu Han, Quanjun Zhang, Yang Liu, Zhenyu Chen, Baowen Xu.
    Paper Project

  • [Preprint] Benchmarking Bias in Large Language Models during Role-Playing
    Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Yiling Lou, Tianlin Li, Weisong Sun, Yang Liu, Xuanzhe Liu.
    Paper

  • [Preprint] Personality-Guided Code Generation Using Large Language Models
    Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma.
    Paper

  • [Preprint] LLM-Based Misconfiguration Detection for AWS Serverless Computing
    Jinfeng Wen, Zhenpeng Chen, Zhenpeng Chen, Federica Sarro, Zixi Zhu, Yi Liu, Haodi Ping, Shangguang Wang.
    Paper

  • [Preprint] LLM-Powered Test Case Generation for Detecting Tricky Bugs
    Kaibo Liu, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Yudong Han, Yun Ma, Ge Li, Gang Huang.
    Paper

  • [ICSE'25] Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software CCF-A
    Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu.
    In: The 47th International Conference on Software Engineering, accepted to appear, April 27-May 3, 2025, Ottawa, Ontario, Canada.

  • [TOSEM'24] Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems CCF-A
    Xinyue Li, Zhenpeng Chen*, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu.
    In: ACM Transactions on Software Engineering and Methodology, accepted to appear, 2024.
    Paper Project

  • [TOSEM'24] Anatomizing Deep Learning Inference in Web Browsers CCF-A
    Qipeng Wang, Shiqi Jiang, Zhenpeng Chen*, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu.
    In: ACM Transactions on Software Engineering and Methodology, accepted to appear, 2024.
    Paper Project

  • [TOSEM'24] When Automated Program Repair Meets Regression Testing—An Extensive Study on Two Million Patches CCF-A
    Yiling Lou, Jun Yang, Samuel Benton, Dan Hao, Lin Tan, Zhenpeng Chen*, Lu Zhang, Lingming Zhang.
    In: ACM Transactions on Software Engineering and Methodology, 33(7): 180:1-180:23, 2024.
    Paper Project

  • [TOSEM'24] Fairness Testing of Machine Translation Systems CCF-A
    Zeyu Sun, Zhenpeng Chen*, Jie M. Zhang, Dan Hao.
    In: ACM Transactions on Software Engineering and Methodology, 33(6): 156:1-156:27, 2024.
    Paper Project

  • [JSS'24] Research Artifacts in Software Engineering Publications: Status and Trends CCF-B
    Mugeng Liu, Xiaolong Huang, Wei He, Yibing Xie, Jie M. Zhang, Xiang Jing, Zhenpeng Chen, Yun Ma.
    In: Journal of Systems and Software, 112032, 2024.
    Paper Project

  • [TOSEM'24] Fairness Testing: A Comprehensive Survey and Analysis of Trends CCF-A
    Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro.
    In: ACM Transactions on Software Engineering and Methodology, 33(5): 137:1-137:59, 2024.
    Paper

  • [MSR'24-DT] TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs
    Kaibo Liu, Yudong Han, Yiyang Liu, Zhenpeng Chen*, Jie M. Zhang, Federica Sarro, Gang Huang, Yun Ma.
    In: The 21st International Conference on Mining Software Repositories, Data and Tool Showcase Track, accepted to appear, April 15-16, 2024, Lisbon, Portugal.
    Paper Project

  • [ICSE'24] Fairness Improvement with Multiple Protected Attributes: How Far Are We? CCF-A
    Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman.
    In: The 46th International Conference on Software Engineering, pp.160:1-160:13, April 14-20, 2024, Lisbon, Portugal. Acceptance Rate: 22% (234/1,051).
    Paper Project

  • [TOSEM'24] Adonis: Practical and Efficient Control Flow Recovery through OS-Level Traces CCF-A
    Xuanzhe Liu, Chengxu Yang, Ding Li, Yuhan Zhou, Shaofei Li, Jiali Chen, Zhenpeng Chen*.
    In: ACM Transactions on Software Engineering and Methodology, 33(1): 2:1-2:27, 2024. (Selected for ASE 2023 journal-first presentation)
    Paper Project

  • [TMC'24] FLASH: Heterogeneity-aware Federated Learning at Scale CCF-A
    Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu.
    In: IEEE Transactions on Mobile Computing, 23(1): 483-500, 2024.
    Paper Project

  • [TOSEM'24] Characterizing and Detecting WebAssembly Runtime Bugs CCF-A
    Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu.
    In: ACM Transactions on Software Engineering and Methodology, 33(2): 37:1-37:29, 2024.
    Paper Project

  • [SCIS'24] What Can We Learn from Quality Assurance Badges in Open-Source Software? CCF-A
    Feng Li, Yiling Lou, Xin Tan, Zhenpeng Chen, Jinhao Dong, Yang Li, Xuanzhi Wang, Dan Hao, Lu Zhang.
    In: Science China Information Sciences, 67(4): 142103:1-142103:18.
    Paper Project

  • [JRC'24] Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
    Max Hort, Zhenpeng Chen, Jie M. Zhang, Mark Harman, Federica Sarro.
    In: ACM Journal on Responsible Computing, 1(2): 11:1-11:52.
    Paper Project

  • [MSR'23] AutoML from Software Engineering Perspective: Landscapes and Challenges CCF-C
    Chao Wang, Zhenpeng Chen, Minghui Zhou.
    In: The 20th International Conference on Mining Software Repositories, pp.39-51, May 15-16, 2023, Melbourne, Australia. Acceptance Rate: 37% (43/115).
    🏆 ACM SIGSOFT Distinguished Paper Award
    Paper Project

  • [TOSEM'23] FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing CCF-A
    Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen*, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin.
    In: ACM Transactions on Software Engineering and Methodology, 32(5): 119:1-119:29, 2023. (Selected for ASE 2023 journal-first presentation)
    Paper Project

  • [ISSTA'23] Who Judges the Judge: An Empirical Study on Online Judge Tests CCF-A
    Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen*, Federica Sarro, Mark Harman, Gang Huang, Yun Ma.
    In: The 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp.334–346, July 17-21, 2023, Seattle, USA. Acceptance Rate of first round submission: 18% (28/159).
    Paper Project

  • [TOSEM'23] Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective CCF-A
    Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin.
    In: ACM Transactions on Software Engineering and Methodology, 32(6): 156:1-156:26, 2023. (Selected for ASE 2023 journal-first presentation)
    Paper Project

  • [TOSEM'23] A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers CCF-A
    Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman.
    In: ACM Transactions on Software Engineering and Methodology, 32(4): 106:1-106:30, 2023.
    Paper Project

  • [TOSEM'23] Rise of the Planet of Serverless Computing: A Systematic Review CCF-A
    Jinfeng Wen, Zhenpeng Chen*, Xin Jin, Xuanzhe Liu.
    In: ACM Transactions on Software Engineering and Methodology, 32(5): 131:1-131:61, 2023.
    Paper Project

  • [JSEP'23] Characterizing Commodity Serverless Computing Platforms CCF-B
    Jinfeng Wen, Yi Liu, Zhenpeng Chen, Junkai Chen, Yun Ma.
    In: Journal of Software: Evolution and Process, 35(10):e2394, 2023. (Selected for SANER 2022 journal-first presentation)
    Paper Project

  • [ESEC/FSE'22] MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software CCF-A
    Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman.
    In: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.1122-1134, November 14-18, 2022, Singapore. Acceptance Rate: 22% (99/449).
    Paper Project

  • [PONE'22] Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub
    Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Qiaozhu Mei.
    In: PLOS ONE, 17(1): e0261262, 2022, 21 pages.
    Paper Project

  • [ESEC/FSE'21] TaintStream: Fine-grained Taint Tracking for Big Data Platforms through Dynamic Code Translation CCF-A
    Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu.
    In: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.806-817, August 23-27, 2021, Athens, Greece. Acceptance Rate: 24% (97/396).
    Paper Project

  • [ESEC/FSE'21] An Empirical Study on Challenges of Application Development in Serverless Computing CCF-A
    Jinfeng Wen#, Zhenpeng Chen#, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu.
    In: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.416-428, August 23-27, 2021, Athens, Greece. Acceptance Rate: 24% (97/396).
    Paper Project

  • [ICSE'21] An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications CCF-A
    Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu.
    In: The 43rd International Conference on Software Engineering, pp.674-685, May 23-29, 2021, Madrid, Spain. Acceptance Rate: 22% (138/615).
    Paper Project

  • [WWW'21] Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data CCF-A
    Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu.
    In: The 2021 World Wide Web Conference (known as The Web Conference), pp.935-946, April 19-23, 2021, Ljubljana, Slovenia. Acceptance Rate: 21% (357/1736).
    Paper Project

  • [TOSEM'21] Emoji-Powered Sentiment and Emotion Detection from Software Developers’ Communication Data CCF-A
    Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, Xuanzhe Liu.
    In: ACM Transactions on Software Engineering and Methodology, 30(2): 18:1-18:48, 2021.
    Paper Project

  • [ESEC/FSE'20] A Comprehensive Study on Challenges in Deploying Deep Learning Based Software CCF-A
    Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu.
    In: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.750-762, November 8-13, 2020, Sacramento, USA. Acceptance Rate: 28% (101/360).
    Paper Project

  • [ESEC/FSE'20] Understanding Build Issue Resolution in Practice: Symptoms and Fix Patterns CCF-A
    Yiling Lou, Zhenpeng Chen, Yanbin Cao, Dan Hao, Lu Zhang.
    In: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.617-628, November 8-13, 2020, Sacramento, USA. Acceptance Rate: 28% (101/360).
    Paper Project

  • [IJCAI'20] Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)
    Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu.
    In: The Twenty-Ninth International Joint Conference on Artificial Intelligence, pp.4701-4705, July 11-17, 2020, Yokohama, Japan.
    Invited Paper, an abridged version of our WWW'19 paper

  • [AAAI'20] Solving Sequential Text Classification as Board-Game Playing CCF-A
    Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua.
    In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, pp.8640-8648, February 7-12, 2020, New York, USA. Acceptance Rate: 21% (1591/7737).
    Paper Project

  • [ESEC/FSE'19] SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering CCF-A
    Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu.
    In: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.841-852, August 26-30, 2019, Tallinn, Estonia. Acceptance Rate: 24% (74/303).
    Paper Project

  • [WWW'19] Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification CCF-A
    Zhenpeng Chen#, Sheng Shen#, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu.
    In: The 2019 World Wide Web Conference (known as The Web Conference), pp.251-262, May 13-17, 2019, San Francisco, USA. Acceptance Rate: 18% (225/1247).
    🏆 Best Full Paper Award (First WWW Best Paper from China)
    Paper Project

  • [WWW'18] Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users CCF-A
    Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu.
    In: The 2018 World Wide Web Conference (known as The Web Conference), pp.763-772, April 23-27, 2018, Lyon, France. Acceptance Rate: 15% (171/1155).
    Paper

  • [UbiComp'17] PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors CCF-A
    Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei.
    In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3):79:1-79:30. (presented on the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 11-15, 2017, MAUI, USA).
    Paper