Beiqi Zhang

Ph.D. Student at Monash University

me.jpg
beiqi{dot}zhang{at}monash{dot}edu
Room 223, 20 Exhibition Walk
Clayton, VIC 3800, Australia

I am a Ph.D. student (2025-) in Information Technology at Monash University, where I am fortunate to be advised by Prof. John Grundy, Dr. Xiaoning Du, Dr. Kla Tantithamthavorn, and Dr. Tingting Bi (External Supervisor).

My research focuses on Trustworthy AI and Automated Software Engineering, with a particular emphasis on autonomous code agents and the quality assurance of LLM-generated code. I am passionate about exploring how to enhance the security, reliability, and robustness of these agentic systems through rigorous scientific benchmarking and methodological innovation.

Prior to my Ph.D. journey, I earned my Bachelor’s (2018-2022) and Master’s (2022-2025) degrees from Wuhan University, where I was a member of CSTAR (Centre of Software Testing, Analysis, and Reliability) and supervised by Prof. Peng Liang. I have been deeply involved in research projects exploring the intersection of Software Engineering and Artificial Intelligence.

I am always open to academic collaborations and discussions with researchers and students who are passionate about Trustworthy AI, AI4SE & SE4AI, and Automated Software Engineering. If you share these research interests, please feel free to reach out for potential collaboration!

News

Mar 27, 2026 📄 Great news! My first-author paper on PEFT for code smell detection has been accepted by ACM TOSEM. This is a collaborative work with Prof. David Lo, started during my visit to SMU in 2024.
Nov 28, 2025 🎉 I arrived in Melbourne, Australia, and started my Ph.D. journey at Monash University!
Jul 1, 2024 🇸🇬 From July to December 2024, I was a visiting student at Singapore Management University (SMU), supervised by Prof. David Lo.

Selected Publications [view all]

2026

  1. TOSEM
    A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection
    Beiqi ZhangPeng Liang, Xin Zhou, Xiyu Zhou, David Lo, Qiong Feng, Zengyang Li, and Lin Li
    ACM Transactions on Software Engineering and Methodology, 2026

2025

  1. TOSEM
    Using LLMs in generating design rationale for software architecture decisions
    Xiyu Zhou, Ruiyin Li, Peng LiangBeiqi Zhang, Mojtaba Shahin, Zengyang Li, and Chen Yang
    ACM Transactions on Software Engineering and Methodology, 2025

2024

  1. ASE
    Copilot-in-the-loop: Fixing code smells in copilot-generated python code using copilot
    Beiqi ZhangPeng Liang, Qiong Feng, Yujia Fu, and Zengyang Li
    In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023

  1. SEKE
    Practices and challenges of using github copilot: An empirical study
    Beiqi ZhangPeng Liang, Xiyu Zhou, Aakash Ahmad, and Muhammad Waseem
    In Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023
    🏆 Best Paper Award: First Place

Services

Invited Reviewer

2025
  • TOSEM