About Me

I am a postdoctoral research fellow at Cyber Security Lab, Nanyang Technological University, working with Prof. Yang Liu. I received my Ph.D. and B.E. degrees in Software Engineering from Fudan University in 2023 and 2018, under the supervision of Prof. Xin Peng.

My research focuses on AI for Software Engineering (AI4SE), particularly data- and knowledge-driven development and maintenance with the use of large language models (LLMs). Recently, I have also been working on Software Engineering for AI (SE4AI), focusing on the evaluation of LLMs for code and the integration of software engineering principles with AI software development.

News

  • [2025-05] Two papers on AI for security (JitVul) and security for AI (POUGH) are accepted by ACL 2025.
  • [2025-04] Two vision papers (Promptware Engineering and Code Digital Twin) are accepted by 2030 SE Workshop @ FSE 2025.
  • [2025-01] I was invited to serve on the program committee of the Research Track at ICSE 2026.
  • [2025-01] Three papers (Privacy, Security, and Timeliness) on Code LLMs' Trustworthiness are accepted by ICSE 2025.
  • [2025-01] One paper (SKG-Agent) on Agent-based Automatic GUI Testing is accepted by FSE 2025.
  • [2025-01] One paper (ToolGen) on Tool-integrated Repo-level Code Generation is accepted by TOSEM.
  • [2024-12] One paper (HalTaxonomy) on LLM Hallucinations in Code Generation is accepted by ISSTA 2025.
  • [2024-12] Our vision paper (DataTrust) on Trustworthy Code LLMs is accepted by ICSE 2025-NIER.
  • [2024-11] Two papers (InferROI and LISP) on LLM-Enhanced Software Defect Discovery are accepted by ICSE 2025.
  • [2024-08] One paper (VulAdvisor) on Vulnerability Repair Suggestion is accepted by ASE 2024.
  • [2024-07] One paper (Tiger) on Python Type Inference is accepted by ICSE 2025.
  • [2024-06] I was invited to serve on the program committee of the Research Track at FSE 2025.
  • [2023-10] I joined Cyber Security Lab @ NTU as a research fellow.
  • [2023-07] Our paper titled "Generating Variable Explanations via Zero-shot Prompt Learning" is accepted by ASE 2023.
  • [2023-06] I recieved my Ph.D degree from Fudan University.
  • [2023-05] Our paper titled "Mining Resource-Operation Knowledge to Support Resource Leak Detection" is accepted by ESEC/FSE 2023.
  • [2023-03] Our paper titled "XCoS: Explainable Code Search based on Query Scoping and Knowledge Graph" is accepted by TOSEM.
  • [2023-02] Our paper titled "Beyond Literal Meaning: Uncover and Explain Implicit Knowledge in Code through Wikipedia-based Concept Linking" is accepted by TSE.

Publications

The full list can be found at Google Scholar. ("*" indicates corresponding author, "#" indicates co-first author.)
  1. [ACL'25] Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories.
    Alperen Yildiz, Sin G Teo, Yiling Lou, Yebo Feng, Chong Wang*, Dinil Mon Divakaran.
    In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, accepted, July 27 - August 1, 2025, Vienna, Austria.
  2. [ACL'25] Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs.
    Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu.
    In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, accepted, July 27 - August 1, 2025, Vienna, Austria.
  3. [2030SE@FSE'25] Promptware Engineering: Software Engineering for LLM Prompt Development.
    Zhenpeng Chen, Chong Wang, Weisong Sun, Guang Yang, Xuanzhe Liu, Jie M. Zhang, Yang Liu.
    In: Software Engineering in 2030 Workshop, co-located with FSE 2025, accepted, June 23-27, 2025, Trondheim, Norway.
  4. [2030SE@FSE'25] Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Maintenance.
    Xin Peng, Chong Wang, Mingwei Liu, Yiling Lou, Yijian Wu.
    In: Software Engineering in 2030 Workshop, co-located with FSE 2025, accepted, June 23-27, 2025, Trondheim, Norway.
  5. [ISSTA'25] Fixing Outside the Box: Uncovering Tactics for Open-Source Security Issue Management.
    Lyuye Zhang, Jiahui Wu, Chengwei Liu, Kaixuan Li, Xiaoyu Sun, Lida Zhao, Chong Wang, Yang Liu.
    In: Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, accepted, Jun. 2025, Trondheim, Norway.
  6. [ISSTA'25] LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
    Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, Zibin Zheng.
    In: Proceedings of the 34th SIGSOFT International Symposium on Software Testing and Analysis, accepted, Jun. 2025, Trondheim, Norway.
  7. [FSE'25] Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead.
    Yanqi Su, Zhenchang Xing, Chong Wang, Chunyang Chen, Sherry (Xiwei) Xu, Qinghua Lu, Liming Zhu.
    In: Proceedings of the ACM on Software Engineering (PACMSE) Issue FSE 2025, accepted, Jun. 2025, Trondheim, Norway.
  8. [TOSEM'25] Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.
    Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, Xin Peng.
    In: ACM Transactions on Software Engineering and Methodology, accepted, 2025.
  9. [SCIS'25] Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities.
    Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang.
    In: SCIENCE CHINA Information Sciences, 68, 111102 (2025), 2025.
  10. [ICSE'25-NIER] Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.
    Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhao, Yang Liu.
    In: Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, accepted, May 2025, Ottawa, Canada.
  11. [ICSE'25] LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-based Code Completion.
    Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, Xin Peng.
    In: Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, accepted, May 2025, Ottawa, Canada.
  12. [ICSE'25] 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.
    In: Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, accepted, May 2025, Ottawa, Canada.
  13. [ICSE'25] Decoding Secret Memorization in Code LLMs Through Token-Level Characterization.
    Yuqing Nie#, Chong Wang#, Kailong Wang, Guoai Xu, Guosheng Xu, Haoyu Wang.
    In: Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, accepted, May 2025, Ottawa, Canada.
  14. [ICSE'25] LLM Based Input Space Partitioning Testing for Library APIs.
    Jiageng Li, Zhen Dong, Chong Wang, Haozhen You, Cen Zhang, Yang Liu, Xin Peng.
    In: Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, accepted, May 2025, Ottawa, Canada.
  15. [ICSE'25] Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference.
    Chong Wang, Jianan Liu, Xin Peng, Yang Liu, Yiling Lou.
    In: Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, accepted, May 2025, Ottawa, Canada.
  16. [ICSE'25] TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference.
    Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng.
    In: Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, accepted, May 2025, Ottawa, Canada.
  17. [TOSEM'24] Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence.
    Junan Zhang, Kaifeng Huang, Yiheng Huang, Bihuan Chen, Ruisi Wang, Chong Wang, Xin Peng.
    In: ACM Transactions on Software Engineering and Methodology, accepted, 2024.
  18. [ASE'24] VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair.
    Jian Zhang, Chong Wang*, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu.
    In: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, pp. 1932-1944, Oct. 2024, California, United States.
  19. [ASE'23] Generating Variable Explanations via Zero-shot Prompt Learning.
    Chong Wang, Yiling Lou, Junwei Liu, Xin Peng.
    In: Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, pp. 748-760, Sept. 2023, Kirchberg, Luxembourg.
  20. [FSE'23] Mining Resource-Operation Knowledge to Support Resource Leak Detection.
    Chong Wang, Yiling Lou, Xin Peng, Jianan Liu, Baihan Zou.
    In: Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 986-998, Dec. 2023, San Francisco, USA.
  21. [TOSEM'23] XCoS: Explainable Code Search based on Query Scoping and Knowledge Graph.
    Chong Wang, Xin Peng, Zhenchang Xing, Yue Zhang, Mingwei Liu, Rong Luo, Xiujie Meng.
    In: ACM Transactions on Software Engineering and Methodology, 32(6), pp. 1-28, Sep. 2023.
  22. [TSE'23] Beyond Literal Meaning: Uncover and Explain Implicit Knowledge in Code Through Wikipedia-Based Concept Linking.
    Chong Wang, Xin Peng, Zhenchang Xing, Xiujie Meng.
    In: IEEE Transactions on Software Engineering, vol. 49, no. 5, pp. 3226-3240, May 2023.
  23. [SANER'22] Deepanna: Deep Learning based Java Annotation Recommendation and Misuse Detection.
    Yi Liu, Yadong Yan, Chaofeng Sha, Xin Peng, Bihuan Chen, Chong Wang.
    In: Proceedings of 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, pp. 685-696, Mar. 2022, Honolulu, USA.
  24. [ASE'21] Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph.
    Yanqi Su, Zhenchang Xing, Xin Peng, Xin Xia, Chong Wang, Xiwei Xu, Liming Zhu.
    In: Proceedings of 2021 36th IEEE/ACM International Conference on Automated Software Engineering, pp. 191-202, Nov. 2021, Melbourne, Australia.
    ACM SIGSOFT Distinguished Paper Award
  25. [FSE'19] A Learning-based Approach for Automatic Construction of Domain Glossary from Source Code and Documentation.
    Chong Wang, Xin Peng, Mingwei Liu, Zhenchang Xing, Xuefang Bai, Bing Xie, Tuo Wang.
    In: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 97-108, Aug. 2019, Tallinn, Estonia.

Services

  • Conference PC:
    • ICSE'26
    • FSE'25
    • MSR'24
    • LLM4Code@ICSE'24
  • Journal Reviewer:
    • TSE
    • TOSEM
    • EMSE
    • JSME

Invited Talks

  • Leveraging Code LLMs and Static Analysis for Practical Software Development, Fudan University, Jul. 2024.

Teaching

  • Teaching Assistant: Software Engineering, Fudan University, Spring 2019.
  • Lecture Tutor: Software Engineering, Nanyang Technological University, Winter 2023.