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.

        

profile photo

[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

[Preprint] Can Agents Fix Agent Issues?
Alfin Wijaya Rahardja*, Junwei Liu*, Weitong Chen, Zhenpeng Chen, Yiling Lou
Paper
🏅 Leaderboard
[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
GitHub Repo
[Preprint] STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
Junwei Liu, Yixuan Chen, Mingwei Liu, Xin Peng, Yiling Lou
Paper
[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
[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
⭐ GitHub Repo
🏅 Leaderboard
[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

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)

Last update: June 6, 2025
Basic template from Jon Barron