Shuyao Jiang
Portrait
Ph.D. Candidate
Logo 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 and debugging, program analysis, code generation, runtime systems, and AIOps. Currently, I am working on performance testing and optimization for WebAssembly runtime systems.

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

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🎓 Education
  • The Chinese University of Hong Kong
    The Chinese University of Hong Kong
    Ph.D. in Computer Science and Engineering
    Jan. 2022 - Present
  • Fudan University
    Fudan University
    M.Eng. in Computer Science
    Sep. 2019 - Jan. 2022
  • Fudan University
    Fudan University
    B.Sc. in Computer Science
    Sep. 2015 - Jun. 2019
🎖 Honors & Awards
  • Outstanding Graduate Award of Fudan University (Postgraduate)
    Jan. 2022
  • Third Prize in Software and System Prototype Competition at School of Computer Science, Fudan University
    Dec. 2021
  • Huawei Scholarship
    Oct. 2020
  • Second Place in ACM Student Research Competition at ASE 2019
    Nov. 2019
  • Outstanding Graduate Award of Fudan University (Undergraduate)
    Jun. 2019
💼 Work Experience
  • Research Intern, Huawei Institute, Shenzhen, China
    Mar. 2022 - Oct. 2022
  • Research Intern, Tencent, Guangzhou, China
    Jan. 2021 - May 2021
  • Software Development Intern, SAP, Shanghai, China
    Jul. 2018 - Sep. 2018
💬 Teaching Assistants
  • CSCI3100 Software Engineering
    2022, 2023
  • CSCI2720 Building Web Applications
    2022
  • COMP130176 Programming Methods and Techniques
    2021
  • COMP130048 Java Programming
    2019, 2020, 2021
News
2025
Our paper about WebAssembly performance debugging was accepted by Research Track of ICSE 2026 (72/809).
Oct 16
Our paper about empirical study on user feedback was accepted by Technical Track of ESEM 2025 (28/154).
Jun 17
2024
Our paper about WebAssembly performance fuzzing was accepted by Research Track of SANER 2025 (51/225).
Dec 01
2023
I passed my Ph.D. candidacy examination. 🎉
Dec 12
Our paper about WebAssembly performance testing was accepted by Research Track of ASE 2023 (103/629).
Jul 17
2022
Our paper about code comment interpretability was accepted by TSE as a journal-first paper.
Oct 04
Selected Publications (view all )
Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference

Ruiying Zeng, Shuyao Jiang, Wenxuan Zhao, Yangfan Zhou

ICSE'26  The 48th IEEE/ACM International Conference on Software Engineering, Rio de Janeiro, Brazil, Apr. 12-18, 2026.

Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference
Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference

Ruiying Zeng, Shuyao Jiang, Wenxuan Zhao, Yangfan Zhou

ICSE'26  The 48th IEEE/ACM International Conference on Software Engineering, Rio de Janeiro, Brazil, Apr. 12-18, 2026.

Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System

Shuyao Jiang, Jiazhen Gu, Wujie Zheng, Yangfan Zhou, Michael R. Lyu

ESEM'25  The 19th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Honolulu, Hawaii, USA, Sep. 29 - Oct. 3, 2025.

Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System
Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System

Shuyao Jiang, Jiazhen Gu, Wujie Zheng, Yangfan Zhou, Michael R. Lyu

ESEM'25  The 19th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Honolulu, Hawaii, USA, Sep. 29 - Oct. 3, 2025.

Distinguishability-guided Test Program Generation for WebAssembly Runtime Performance Testing

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

SANER'25  The 32nd IEEE International Conference on Software Analysis, Evolution and Reengineering, Montreal, QC, Canada, Mar. 4-7, 2025.

Distinguishability-guided Test Program Generation for WebAssembly Runtime Performance Testing
Distinguishability-guided Test Program Generation for WebAssembly Runtime Performance Testing

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

SANER'25  The 32nd IEEE International Conference on Software Analysis, Evolution and Reengineering, Montreal, QC, Canada, Mar. 4-7, 2025.

Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing

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

ASE'23  The 38th IEEE/ACM International Conference on Automated Software Engineering, Luxembourg, Luxembourg, Sep. 11-15, 2023.

Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing
Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing

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

ASE'23  The 38th IEEE/ACM International Conference on Automated Software Engineering, Luxembourg, Luxembourg, Sep. 11-15, 2023.

Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study

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

TSE'23  IEEE Transactions on Software Engineering, vol. 49, no. 4, pp. 2239-2254, Apr. 2023.

Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study
Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study

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

TSE'23  IEEE Transactions on Software Engineering, vol. 49, no. 4, pp. 2239-2254, Apr. 2023.

Boosting Neural Commit Message Generation with Code Semantic Analysis

Shuyao Jiang

ASE'19  The 34th IEEE/ACM International Conference on Automated Software Engineering, San Diego, CA, USA, Nov. 11-15, 2019. 🏆 Won the Second Place in SRC

Boosting Neural Commit Message Generation with Code Semantic Analysis
Boosting Neural Commit Message Generation with Code Semantic Analysis

Shuyao Jiang

ASE'19  The 34th IEEE/ACM International Conference on Automated Software Engineering, San Diego, CA, USA, Nov. 11-15, 2019. 🏆 Won the Second Place in SRC

All publications