Welcome to my homepage!
I am a second-year Ph.D. student at Department of Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Shuai Wang. Prior to joining HKUST, I obtained my bachelor’s degree in data science and technology from Tongji University, Shanghai, China in 2023. My research interests include privacy-preserving machine learning and sofware engineering.
I can be reached at zwangjz at cse dot ust dot hk.
Publication
(* Equal contribution)
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach
ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2025)
ACM Transactions on Software Engineering and Methodology (TOSEM)
ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA’24)code
Education
- Ph.D. in Computer Science and Engineering, The Hong Kong University of Science and Technology, Sep. 2023 - Now
- Exchange, École Polytechnique Fédérale de Lausanne, Sep. 2022 - Jan. 2023
- B.Eng. in Data Science and Technology, Tongji University, Sep. 2019 - Jun. 2023
Award and Grant
- UGC Research Travel Grant, 2024-25 Academic Year.
- UGC Research Travel Grant, 2023-24 Academic Year.
Patents
- Pingchuan Ma, Zhaoyu Wang, Shuai Wang. New Approach for Distributed Zero-Knowledge Proof Generation for Data Analytics Workflow. US Provisional Patent. Filing Date: 1 Nov 2024
- Pingchuan Ma, Zhaoyu Wang, Shuai Wang. Approach for Efficient Zero-Knowledge Causal Analysis. US Provisional Patent. Filing Date: 1 Nov 2024
Professional Service
- Sub-Reviewer of ICML'25, LLM4Code '25, S&P '25, FSE '24, ECMLPKDD '23, PETS '23.
Teaching Experience
- Teaching Assistant, COMP 2011: Programming with C++ (Fall 2024)