Dr. Liu Mingwei (刘名威)
Insterdisciplinary Building 2, D2007, Fudan University (Jiangwan Campus)
Dr. Mingwei Liu (刘名威) is presently serving as a Postdoctoral Fellow at Fudan University, China. He received his Ph.D. and B.E degrees in Software Engineering from Fudan University in 2022 and 2017. During his academic tenure, he had the invaluable opportunity to work under the guidance and mentorship of Xin Peng.
Dr. Liu’s research focuses on the intersection of Software Engineering (SE) and Artificial Intelligence (AI), specifically in the domains of AI4SE and SE4AI. His primary interest lies in leveraging advanced AI technologies, such as large language models and knowledge graphs, to address software engineering challenges and tackle the software engineering and system engineering problems prevalent in AI applications and scenarios.
news
Apr 20, 2024 | ChatTester (LLM-based Unit Test Generation) is accepted to FSE 2024. Preprint |
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Mar 25, 2024 | Check out the ClassEval Leaderboard for evaluating the most recent LLMs on class-level code generation. for evaluating the most recent LLMs on class-level code generation. Feel free to contact us to submit new results. |
Dec 20, 2023 | Check out our preprint titled “Resolving Crash Bugs via Large Language Models: An Empirical Study”, Preprint |
Dec 05, 2023 | One paper titled “Evaluating Large Language Models in Class-Level Code Generation” got accepted in ICSE 2024, Paper |
Dec 04, 2023 | Our work won ACM SIGSOFT Distinguished Paper Award at ESEC/FSE 2023, Paper |
Aug 20, 2023 | Check out our manually-crafted benchmark ClassEval for evaluating LLMs on class-level code generation. Any feedback would be appreciated for help us improve the benchmark. GitHub, Preprint |
Aug 15, 2023 | Check out our preprint for evaluating instruction-tuned LLMs on code comprehension tasks, Preprint |
Aug 10, 2023 | One paper titled “Recommending Analogical APIs via Knowledge Graph Embedding” got accepted in ESEC/FSE 2023, Paper |
Aug 05, 2023 | One paper titled “CodeGen4Libs: A Two-stage Approach for Library-oriented Code Generation” got accepted in ASE 2023, Paper, GitHub |
Jul 20, 2023 | One paper titled “Knowledge Graph based Explainable Question Retrieval for Programming Tasks” got accepted in ICSME 2023, Paper |
May 20, 2023 | Check out our preprint on ChatGPT-based unit test generation. Preprint |
May 12, 2023 | One paper titled “Task-Oriented ML/DL Library Recommendation based on a Knowledge Graph” got accepted in TSE 2023 , Paper |
Mar 20, 2023 | One paper titled “KG4CraSolver: Recommending Crash Solutions via Knowledge Graph” got accepted in ESEC/FSE 2023, Paper |
Feb 20, 2023 | One paper titled “Research on Knowledge Graph Representation Learning Methods for Link Prediction: A Review” got accepted in JSS 2023. Paper |
Feb 10, 2023 | One paper titled “XCoS: Explainable Code Search based on Query Scoping and Knowledge Graph” got accepted in TOSEM 2023, Paper |
Jun 16, 2022 | I joined Fudan University as a Postdoctoral fellow, working with Prof. Xin Peng. |
Jun 15, 2022 | I received my Ph.D degree from Fudan University. |
selected publications
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- Recommending Analogical APIs via Knowledge Graph EmbeddingIn Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2023, San Francisco, CA, USA, December 3-9, 2023 , 2023