The Chinese University of Hong KongI am a newly graduated Ph.D. from 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, runtime optimization, and AI4SE. Currently, I am working on performance testing and optimization for WebAssembly runtime systems.
I am now actively seeking research job opportunities, including postdoctoral and other research positions. If you are aware of any relevant opportunities, please feel free to contact me.
News
🎓 Education
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The Chinese University of Hong KongPh.D. in Computer Science and EngineeringJan. 2022 - Mar. 2026
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Fudan UniversityM.Eng. in Computer ScienceSep. 2019 - Jan. 2022 -
Fudan UniversityB.Sc. in Computer ScienceSep. 2015 - Jun. 2019
🎖 Honors & Awards
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Outstanding Graduate Award of Fudan University (Postgraduate)Jan. 2022
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Third Prize in Software and System Prototype Competition at School of Computer Science, Fudan UniversityDec. 2021
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Huawei ScholarshipOct. 2020
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Second Place in ACM Student Research Competition at ASE 2019Nov. 2019
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Outstanding Graduate Award of Fudan University (Undergraduate)Jun. 2019
💼 Work Experience
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Research Intern, Huawei Institute, Shenzhen, ChinaMar. 2022 - Oct. 2022
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Research Intern, Tencent, Guangzhou, ChinaJan. 2021 - May 2021
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Software Development Intern, SAP, Shanghai, ChinaJul. 2018 - Sep. 2018
💬 Teaching Assistants
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CSCI3100 Software Engineering (CUHK)2022, 2023
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CSCI2720 Building Web Applications (CUHK)2022
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COMP130176 Programming Methods and Techniques (FDU)2021
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COMP130048 Java Programming (FDU)2019, 2020, 2021
✏️ Service
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Program Committee: ICSE'27-Demos
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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 (view all )
Bringing Managed Language Support to WebAssembly with External Library Linking
Shuyao Jiang, Ruiying Zeng, Yangfan Zhou, Michael R. Lyu
FSE'26 ACM International Conference on the Foundations of Software Engineering, Montreal, QC, Canada, Jul. 5-9, 2026.
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, HI, 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.
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.
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. 🏆 Second Place in ACM Student Research Competition