Cheryl Lee

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cheryllee at link.cuhk.edu.hk

Office: RM 101, SHB

💡 Her research interest lies in intelligent data analysis, with focuses on:

  • NLP-based coding and debugging, especially using LLMs.
  • Multi-modal data analysis in cloud computing, especially for time series and semi-structured text.

📚 Bio: Cheryl Lee is a PhD candidate at The Chinese University of Hong Kong (CUHK). She obtained her bachlors from Peking University and masters from Cornell Tech. She has published 6 papers (4 first-authored) in top conferences ICDE, ICSE, and ASE (CORE A*) .

News

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

  1. ICDE’24
    SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions
    Cheryl Lee, Zhouruixing Zhu, Tianyi Yang, and 3 more authors
    In Proceedings of IEEE 40th International Conference on Data Engineering 2024
  2. 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
  3. 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
  4. 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