The Chinese University of Hong Kong
I am a newly graduated Ph.D. in Computer Science and Engineering from 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, supervised by Prof. Yangfan Zhou.
My research interests include software testing and debugging, program analysis, runtime systems, and AI4SE. Currently, I am exploring how to leverage trustworthy AI techniques to support the testing and optimization of emerging software systems (e.g., WebAssembly).
I am actively seeking tenure-track faculty positions in software engineering. Please feel free to contact me about relevant opportunities.
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🎓 Education
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The Chinese University of Hong KongPh.D. in Computer Science and Engineering -
Fudan UniversityM.Eng. in Computer Technology -
Fudan UniversityB.Sc. in Computer Science and Technology
💼 Work Experience
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Research Intern, Huawei, Shenzhen, China
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Research Intern, Tencent, Guangzhou, China
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Software Development Intern, SAP, Shanghai, China
💬 Teaching Assistants
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CSCI3100 Software Engineering (CUHK)
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CSCI2720 Building Web Applications (CUHK)
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COMP130176 Programming Methods and Techniques (FDU)
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COMP130048 Java Programming (FDU)
✏️ Academic Services
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Program Committee: ICSE'27-Demo, ASE'26-AE, ISSTA'26-AE, ISSRE'26, ESEM'26-ERVR
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Conference Reviewer: FSE'26, DSN'26, ICSE'26-JAWs, ASE'25, ISSTA'25, FSE'23, ISSRE'23, FSE'22, PRDC'22
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Journal Reviewer: TSE, TOSEM
Selected Publications Conference Journal (view all )
Bringing Managed Language Support to WebAssembly with External Library Linking
Shuyao Jiang, Ruiying Zeng, Yangfan Zhou, Michael R. Lyu
FSE'26 Proceedings of the ACM on Software Engineering (PACMSE), Vol. 3, No. FSE, Article FSE175, Jul. 2026.
Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference
Ruiying Zeng, Shuyao Jiang, Wenxuan Zhao, Yangfan Zhou
ICSE'26 2026 IEEE/ACM International Conference on Software Engineering (ICSE), 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 2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Honolulu, HI, USA, Oct. 2-3, 2025.
Distinguishability-guided Test Program Generation for WebAssembly Runtime Performance Testing
Shuyao Jiang, Ruiying Zeng, Yangfan Zhou, Michael R. Lyu
SANER'25 2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 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 2023 IEEE/ACM International Conference on Automated Software Engineering (ASE), 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 (TSE), vol. 49, no. 4, pp. 2239-2254, Apr. 2023.
Boosting Neural Commit Message Generation with Code Semantic Analysis
Shuyao Jiang
ASE'19-SRC 2019 IEEE/ACM International Conference on Automated Software Engineering (ASE), San Diego, CA, USA, Nov. 11-15, 2019. 🏆 Second Place in ACM Student Research Competition