Zhiqiang Yuan

Zhiqiang Yuan

Zhiqiang Yuan is currently a Ph.D. candidate at Fudan University. As a member of CodeWisdom Group, he holds a valuable opportunity to work under the guidance of Prof. Xin Peng and Prof. Yiling Lou . His research primarily focuses on the intersection of Software Engineering (SE) and Artificial Intelligence (AI), with a specific emphasis on the interplay between AI for Software Engineering (AI4SE) and Software Engineering for AI (SE4AI). His primary interest is leveraging advanced Artificial Intelligence methodologies, such as large language models and knowledge graphs, to address software engineering challenges and tackle the software engineering problems prevalent in AI applications and scenarios.

🔥 News

📝 Publications

  • [FSE'24] Evaluating and Improving ChatGPT for Unit Test Generation.
    Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, Yiling Lou
    In: Proceedings of the ACM International Conference on the Foundations of Software Engineering, to appear, July 2024, Brazil, Brazil
    [arXiv Preprint Version] No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

  • [Preprint] Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.
    Zhiqiang Yuan, Junwei Liu, Qiancheng Zi, Mingwei Liu, Xin Peng, Yiling Lou

  • [TOSEM'23] FQN Inference in Partial Code by Prompt-tuned Language Model of Code.
    In: ACM Transactions on Software Engineering and MethodologyVolume 33Issue 2Article No.: 31pp 1–32
    Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xin Peng, Qinghua Lu

  • [Preprint] SE Factual Knowledge in Frozen Giant Code Model: A Study on FQN and its Retrieval.
    Qing Huang, Dianshu Liao, Zhenchang Xing, Zhiqiang Yuan, Qinghua Lu, Xiwei Xu, Jiaxing Lu.

  • [ASE'22] Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code.
    In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
    Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu

  • [TSC'22] 1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application.
    In: IEEE Transactions on Services Computing
    Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia

💬 Invited Talks

  • 2022.10, Presentation paper at the ASE’22. | [video]