Chengcheng Wan

Information

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Selected Publications

2026

• Comfrey: Mitigating Integration Failures in LLM-enabled Software at Run-Time
  Yuchen Shao, Yuheng Huang, Jiazhen Zou, Yuling Shi, Long Yang, Lei Ma, Ting Su, Chengcheng Wan*
  International Conference on Software Engineering (ICSE'26) [Paper] [Artifact]
• Progressive Red Teaming Testing for Tool Invocation Chain in LLM Agents
  Yuchen Shao, Ziqun Bao, Yuheng Huang, Yuling Shi, Mingyu Weng, Yiwen Sun, Long Yang, Lei Ma, Ting Su, Chengcheng Wan*
  International Symposium on Software Testing and Analysis (ISSTA'26)
• PADD: Prefix-based Attention Divergence Detector for LLM Jailbreaks
  Ziqun Bao, Jiaqiang Niu, Yuchen Shao and Chengcheng Wan*
  International World Wide Web Conference (WWW'26, Oral) [Paper]
• Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors
  Jiawei Shen, Chengcheng Wan*, Ruoyi Qiao, Jiazhen Zou, Hang Xu, Yuchen Shao, Yueling Zhang, Weikai Miao, Geguang Pu*.
  ACM International Conference on the Foundations of Software Engineering (FSE'26) [Paper]



2025

• Are LLMs Correctly Integrated into Software Systems?
  Yuchen Shao, Yuheng Huang, Jiawei Shen, Lei Ma, Ting Su, Chengcheng Wan*
  International Conference on Software Engineering (ICSE'25) [Paper] [Artifact]
• Keeper: Automated Testing and Fixing of Machine Learning Software
  Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu
  IEEE Transactions on Software Engineering and Methodology (TOSEM'25) [Paper] [Artifact]
• Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
  Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu
  International Conference on Software Engineering (ICSE'25) [Paper] [Artifact]



2024

• On the Effectiveness of Large Language Models in Domain-Specific Code Generation
  Top 1% citation for the field and publication year
  Yalan Lin, Meng Chen, Yuhan Hu, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang, Xiaodong Gu
  IEEE Transactions on Software Engineering and Methodology (TOSEM'24) [Paper]
• Automatic and Efficient Customization of Neural Networks for ML Applications
  Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire
  USENIX Symposium on Operating Systems Design and Implementations (OSDI'24) [Paper] [Artifact]
• BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering
  Jiayi Jiang, Xiyuan Zhang, Chengcheng Wan*, Haoyi Chen, Haiying Sun, Ting Su*
  ACM Conference on Computer and Communications Security (CCS'24) [Paper] [Artifact]



2023

• Run-Time Prevention of Software Integration Failures of Machine Learning APIs
  Chengcheng Wan, Yuhan Liu, Kuntai Du, Henry Hoffmann, Junchen Jiang, Michael Maire, Shan Lu
  SPLASH Object-Oriented Programming, Systems, Languages & Applications 2023 (OOPSLA'23) [Paper] [Artifact]
• Self-Supervised Query Reformulation for Code Search
  Yuetian Mao, Chengcheng Wan^#, Yuze Jiang, Xiaodong Gu (^#Equal Contribution)
  ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'23) [Paper]
• Stitcher: Learned Workload Synthesis from Historical Performance Footprints
  Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra Ciortea, Konstantinos Karanasos, Subru Krishnan
  26th International Conference on Extending Database Technology (EDBT'23) [Paper]
• HotGPT: How to Make Software Documentation More Useful with a Large Language Model?
  Yiming Su, Chengcheng Wan, Utsav Sethi, Sreraman Narasimhan, Shan Lu, Madan Musuvathi, Suman Nath
  19th Workshop on Hot Topics in Operating Systems (HotOS XIX) [Paper]



Earlier

• Automated Testing of Software that Uses Machine Learning APIs
  Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu
  International Conference on Software Engineering (ICSE'22) [Paper] [Artifact] [Video]
• Are Machine Learning Cloud APIs Used Correctly?
  Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu
  International Conference on Software Engineering (ICSE'21) [Paper] [Artifact] [Video]
• ALERT: Accurate Learning for Energy and Timeliness
  Chengcheng Wan, Muhammad Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu
  2020 USENIX Annual Technical Conference (USENIX ATC'20) [Paper] [Video]
• Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
  Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire
  37th International Conference on Machine Learning (ICML'20) [Paper] [Video]
• View-Centric Performance Optimization for Database-Backed Web Applications
  SIGSOFT Distinguished Paper Award
  Junwen Yang, Cong Yan, Chengcheng Wan, Shan Lu, Alvin Cheung
  41th International Conference on Software Engineering (ICSE'19) [Paper] [Artifact]