Dr. Liu Mingwei (刘名威)

Associate Professor, School of Software Engineering, Sun Yat-Sen University (中山大学)

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School of Software Engineering, Room 323, Sun Yat-Sen University (Zhuhai Campus)

Dr. Mingwei Liu (刘名威) is presently serving as an Associate Professor at the School of Software Engineering, Sun Yat-Sen University, China. Before joining Sun Yat-Sen University, he completed his postdoctoral research at Fudan University in 2024. He received his Ph.D. and B.E. degrees in Software Engineering from Fudan University in 2022 and 2017, respectively. 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 (LLMs) and knowledge graphs (KGs), to address software engineering challenges and tackle the software engineering and system engineering problems prevalent in AI applications and scenarios. Dr. Liu has published over twenty papers in top international journals and conferences in the field of software engineering, such as TSE, TOSEM, ICSE, FSE, and ASE. He has received several prestigious awards, including the IEEE TCSE Distinguished Paper Award (ICSME 2018) and the ACM SIGSOFT Distinguished Paper Award (FSE 2023).

I am looking for self-motivated undergraduate/master/Phd students interested in SE and AI. Please drop me an email if you are interested in working with me!

news

Jul 05, 2024 Our paper titled “TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference” is accepted by ICSE 2025, Preprint
Jul 04, 2024 Check out our preprint titled “Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models”, Preprint
Jun 06, 2024 Check out our preprint titled “STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis”, Preprint
Jun 05, 2024 Check out our preprint titled “Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG”, Preprint
Jun 01, 2024 I joined the School of Software Engineering at Sun Yat-Sen University as an Associate Professor.
May 20, 2024 One paper titled “Evaluating and Improving ChatGPT for Unit Test Generation” is accepted to FSE 2024. Paper
May 15, 2024 One paper titled “Revisiting The Retrieval-Augmentation Strategy In Code Completion “ got accepted in JSS 2023. Paper
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 :tada:
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

  1. ASE 2023
    CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation
    Mingwei Liu ,  Tianyong Yang ,  Yiling Lou , and 3 more authors
    In 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, Luxembourg, September 11-15, 2023 , 2023
  2. KG4CraSolver: Recommending Crash Solutions via Knowledge Graph
    Xueying Du ,  Yiling Lou ,  Mingwei Liu , and 2 more authors
    In 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
  3. Recommending Analogical APIs via Knowledge Graph Embedding
    Mingwei Liu ,  Yanjun Yang ,  Yiling Lou , and 4 more authors
    In 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
  4. ICSE2024ClassEval-Preview.png
    Evaluating Large Language Models in Class-Level Code Generation
    Xueying Du ,  Mingwei Liu ,  Kaixin Wang , and 7 more authors
    In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, ICSE 2024, Lisbon , Portugal, April 14 - 20, 2024 , 2024
  5. Evaluating and Improving ChatGPT for Unit Test Generation
    Zhiqiang Yuan ,  Mingwei Liu ,  Shiji Ding , and 4 more authors
    In Proceedings of the 32st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2024, to appear, July 2024, Brazil, Brazil , 2024