Cheryl Lee

cheryllee at link.cuhk.edu.hk

Office: RM 101, SHB

💡 My recent research interest lies in enhancing AI, especially LLMs, for reasoning and coding tasks. In particular:

Code generation, testing, and debugging.
Fault diagnosis in cloud computing.

📚 Bio: I’m a final year PhD Computer Science candidate at The Chinese University of Hong Kong (CUHK) advised by Michael R. Lyu. I am fortunate to work with Lingming Zhang at UIUC. Before coming to CUHK, I completed my undergrad at Peking University, majoring in Computer Science, and obtained a master’s degree in Operations Research from Cornell Tech. I’ve published 8 papers (6 first-authored) in top conferences ICSE, ASE, and ICDE (CORE A*) .

🍻 I will be on the industry job market this year. Feel free to reach out at my email if you would like to share opportunities, collaborate, or just chat :)

News

Oct 26, 2025	One first-authored paper is accepted by EMNLP2025! Special thanks to Steven and Prof. Zhang from UIUC for their invaluable collaboration throughout this project.
Mar 10, 2024	One first-authored paper is accepted by ICDE2024!
Mar 2, 2024	One second-authored paper is accepted by ISSTA2024!
Jul 18, 2023	One first-authored paper is accepted by ASE2023!
Dec 9, 2022	Two first-authored papers and one third-authored paper are accepted by ICSE2023!

Highlights

EMNLP’25

UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging

In Proceedings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025

arXiv Bib

@inproceedings{li2025UniDebugger,
  title = {UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging},
  author = {},
  booktitle = {Proceedings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2025},
}

ASE’23

Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, and 2 more authors

In Proceedings of IEEE/ACM 38th International Conference on Automated Software Engineering 2023

arXiv Bib Slides

@inproceedings{li2023Maat,
  title = {Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion},
  author = {Lee, Cheryl and Yang, Tianyi and Chen, Zhuangbin and Su, Yuxin and Lyu, Michael R},
  booktitle = {Proceedings of IEEE/ACM 38th International Conference on Automated Software Engineering},
  year = {2023},
  organization = {IEEE/ACM},
}

ICSE’23

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, and 2 more authors

In Proceedings of IEEE 45th International Conference on Software Engineering 2023

arXiv Bib Slides

@inproceedings{li2023eadro,
  title = {Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data},
  author = {Lee, Cheryl and Yang, Tianyi and Chen, Zhuangbin and Su, Yuxin and Lyu, Michael R},
  booktitle = {Proceedings of IEEE 45th International Conference on Software Engineering},
  year = {2023},
  organization = {IEEE},
}

ICSE’23

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, and 3 more authors

In Proceedings of IEEE 45th International Conference on Software Engineering 2023

arXiv Bib Slides

@inproceedings{li2023heterogeneous,
  title = {Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention},
  author = {Lee, Cheryl and Yang, Tianyi and Chen, Zhuangbin and Su, Yuxin and Yang, Yongqiang and Lyu, Michael R},
  booktitle = {Proceedings of IEEE 45th International Conference on Software Engineering},
  year = {2023},
  organization = {IEEE},
}