Shuyao Jiang

Shuyao Jiang

Ph.D. Candidate in Computer Science and Engineering, The Chinese University of Hong Kong


I am a 4th-year Ph.D. student at ARISE Lab, Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Michael R. Lyu. I received my B.Sc. and M.Eng. degrees in Computer Science from Fudan University in 2019 and 2022 respectively, supervised by Prof. Yangfan Zhou.

My research interests include software testing, program analysis, and runtime systems. Currently, I am working on performance testing and optimization for WebAssembly runtime systems.

* I am now looking for a postdoctoral position (expected to start in 2026). If there are any opportunities you would like to recommend, please kindly let me know. 🤗

🔥 News

  • [12/2024] One paper about WebAssembly performance testing was accepted to SANER 2025 (Research Paper).

  • [12/2023] I passed my Ph.D. candidacy examination. 🎉

  • [07/2023] One paper about WebAssembly performance testing was accepted to ASE 2023 (Research Paper).

  • [10/2022] One paper about code comment interpretability was accepted to TSE (Journal-first Paper).

📝 Publications

  • SANER'25 Distinguishability-guided Test Program Generation for WebAssembly Runtime Performance Testing.

    Shuyao Jiang, Ruiying Zeng, Yangfan Zhou, and Michael R. Lyu.

    In Proceedings of the 32nd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), March 2025.

    [Paper] [Slides] [Code] [BibTex]

  • ASE'23 Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing.

    Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, and Michael R. Lyu.

    In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), September 2023.

    [Paper] [Slides] [Code] [DOI] [BibTex]

  • TSE'23 Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study.

    Shuyao Jiang, Jiacheng Shen, Shengnan Wu, Yu Cai, Yue Yu, and Yangfan Zhou.

    In IEEE Transactions on Software Engineering (TSE), vol. 49, no. 4, pp. 2239-2254, April 2023.

    [Paper] [Code] [DOI] [BibTex]

  • ASE'19 Boosting Neural Commit Message Generation with Code Semantic Analysis.

    Shuyao Jiang.

    In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), November 2019.

    [Paper] [Poster] [Slides] [DOI] [BibTex]

🎓 Education

  • Ph.D. in Computer Science and Engineering, The Chinese University of Hong Kong, 2026 (Expected)
  • M.Eng. in Computer Science, Fudan University, 2022
  • B.Sc. in Computer Science, Fudan University, 2019

🎖 Honors and Awards

  • Outstanding Graduate Award of Fudan University (Postgraduate), 2022
  • Huawei Scholarship, 2020
  • Second place in the ACM Student Research Competition at ASE 2019, 2019
  • Outstanding Graduate Award of Fudan University (Undergraduate), 2019

💻 Work Experience

  • Research Intern, Tencent (Guangzhou, China), 2021.01 - 2021.05
  • Software Development Intern, SAP (Shanghai, China), 2018.07 - 2018.09

💬 Teaching