CV

I am Weiqi (William) Lu (卢伟奇), a third-year Ph.D. candidate in CASTLE Lab at The Hong Kong University of Science and Technology (HKUST), supervised by Prof. S. C. Cheung (IEEE Fellow, Chair Professor) and supported by the Hong Kong PhD Fellowship Scheme (HKPFS). Prior to this, I earned my B.Sc. in Computer Science and Mathematics at HKUST.

My research focuses on software engineering, particularly the automated testing of graphics systems. I am interested in combining mathematical modeling, theory and algorithms, and engineering practice to improve software quality and reliability. Additionally, I enjoy exploring mathematics and machine learning, with a specific interest in artificial intelligence for software engineering (AI4SE) and large language models for software engineering (LLM4SE).

Education

• 2023.09 - Present: Ph.D. in Computer Science and Engineering, The Hong Kong University of Science and Technology
  • GPA: 4.050/4.30
• 2019.09 - 2023.07: B.Sc. in Computer Science and Mathematics, The Hong Kong University of Science and Technology
  • GPA: 4.109/4.30
  • First Class Honors
  • 2023 Academic Achievement Medal (Top 2–3%)
• 2022.01 - 2022.05: Undergraduate Exchange Program, Georgia Institute of Technology
  • GPA: 4.00/4.00
• 2021.06 - 2021.08: Berkeley Summer Sessions, University of California, Berkeley
  • GPA: 4.00/4.00

Projects

• Automated Testing of Data Visualization Libraries, 2023 - Present
  • arXiv
  • Supervisors: Shing-Chi Cheung, Yongqiang Tian
• Language-Guided Dense Prediction for Scene Understanding, 2022 - 2023
  • UROP Proceedings 2022-23
  • Supervisor: Dan Xu
• Knowledge Discovery over Database, 2021 - 2022
  • UROP Proceedings 2021-22
  • Supervisor: Raymond Chi Wing Wong

Honors and Awards

• ACM SIGSOFT CAPS Award (2025)
• Hong Kong PhD Fellowship Award (2023 - 2027)
• HKUST RedBird PhD Award (2023)
• Hong Kong University of Science and Technology Academic Achievement Medal (2023)
• The 17th Epsilon Fund Honorable Mention Award (2022)
• Tin Ka Ping Scholarship (Exchange) (2022)
• HKUST Alumni Endowment Fund High Flyers Program Scholarship (2022)
• Chiaphua Industries Limited Scholarship for Chinese Mainland Undergraduate Students (2020 - 2023)
• University’s Scholarship Scheme for Continuing Undergraduate Students (2020 - 2023)
• Dean’s List for the School of Engineering (2019 - 2023)

Publications

Detecting Rendering Bugs in Imperative Data Visualization Libraries via Equivalent Mutations

Weiqi Lu and Yongqiang Tian. 2026. Detecting Rendering Bugs in Imperative Data Visualization Libraries via Equivalent Mutations. arXiv preprint arXiv:2607.12363.

An Empirical Study of Bugs in Data Visualization Libraries

Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, Haoyang Ma, Zhenyang Xu, Shing-Chi Cheung, and Chengnian Sun. 2025. An Empirical Study of Bugs in Data Visualization Libraries. Proc. ACM Softw. Eng. 2, FSE, Article FSE093 (July 2025), 24 pages. https://doi.org/10.1145/3729363

Is ChatGPT the Ultimate Programming Assistant–How Far Is It?

Haoye Tian, Weiqi Lu, Tsz On Li, Xunzhu Tang, Shing-Chi Cheung, Jacques Klein, and Tegawendé F. Bissyandé. 2023. Is ChatGPT the Ultimate Programming Assistant--How Far Is It? arXiv preprint arXiv:2304.11938.

Teaching and Service

• COMP5111 Fundamentals of Software Testing and Analysis (2024-25 Spring, 2025-26 Spring)
• COMP2211 Exploring Artificial Intelligence (2023-24 Spring)
• Peer review for ICSE 2026, ISSTA 2026, ASE 2026, FSE 2026, ISSTA 2025, and ASE 2025
• Active maintenance of open-source data visualization libraries, including matplotlib, bokeh, and plotly