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Junwei Liu Junwei Liu is currently a PhD student in the School of Computer Science, Fudan University. As a member of CodeWisdom Group, he had the invaluable opportunity to work under the guidance and mentorship of Prof. Xin Peng and Prof. Yiling Lou. His research interests mainly focus on Software Engineering and its synergy with Artificial Intelligence, especially large language models(LLMs). Previously, he obtained his B.S. degree in Software Engineering from Fudan in 2022. |
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[2025.11] 🎉 Our paper "Large Language Model-Based Agents for Software Engineering: A Survey" is accepted by TOSEM.
[2025.09] 🎉 Our paper "Can Agents Fix Agent Issues?" is accepted by NeurIPS 2025.
[2025.05] 🎉 Introducing AgentIssue-Bench - a new benchmark focusing on issues in LLM-based agent systems!
[2024.09] 🎉 Our latest Agent4SE survey has been released. Star our GitHub Repo to keep up with the updates!
Publications |
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[Preprint]
EvoDev: An Iterative Feature-Driven Framework for End-to-End Software Development with LLM-based Agents
Junwei Liu, Chen Xu, Chong Wang, Tong Bai, Weitong Chen, Kaseng Wong, Yiling Lou, Xin Peng |
Paper |
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[Preprint]
STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
Junwei Liu, Yixuan Chen, Mingwei Liu, Xin Peng, Yiling Lou |
Paper |
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[Preprint]
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and
Generation
Zhiqiang Yuan, Junwei Liu, Qiancheng Zi, Mingwei Liu, Xin Peng, Yiling Lou |
Paper |
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[TOSEM 2025]
Large Language Model-Based Agents for Software Engineering: A Survey
In: ACM Transactions on Software Engineering and Methodology, accepted to appear, 2025 Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou |
Paper
GitHub Repo 
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[NeurIPS 2025]
Can Agents Fix Agent Issues?
In: Proceedings of the 39th Annual Conference on Neural Information Processing Systems, accepted to appear, December 2025, San Diego, USA Alfin Wijaya Rahardja*, Junwei Liu*, Weitong Chen, Zhenpeng Chen, Yiling Lou |
Paper
🏅 Leaderboard |
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[ICSE 2024]
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code
Generation
In: proceedings of the 46th International Conference on Software Engineering, to appear, April 2024, Lisbon, Portugal Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou |
Paper
🏅 Leaderboard Hugging Face [Downloads 9000+] |
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[ASE 2023]
Generating Variable Explanations via Zero-shot Prompt Learning
In: proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, to appear, Sept 2023, Kirchberg, Luxembourg Chong Wang, Yiling Lou, Junwei Liu, Xin Peng |
Paper |
Academic Services |
- Publicity Chair for LLM4Code'24/26@ICSE
- Reviewer for TOSEM, TSE, ACL ARR May 2025, Journal of Software
- External Reviewer for ICSE'24, ASE'24, ISSTA'24/25
Invited Talks |
- [Oct. 2024] Quality Intelligence Team, ByteDance: LLM for Software Development and Maintenance (Slides)
- [Sept. 2024] TONGYI Lingma, Aliyun: LLM-based Agents for Software Engineering (Slides)
Honors |
- Outstanding Graduate, Fudan University (2022)
Teaching |
- Teaching Assistant, Software Engineering, Undergraduate-level, Fudan University (Spring 2023 & Spring 2025)
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Last update: Sept 18, 2025
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