Xinyu Lian

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I am a first-year Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign. I study elastic and efficient machine learning systems, effective efficiency algorithms, and LLM applications for systems.

🙋 Feel free to reach out via email if you are interested in my research.


🔥 News

Mar 1, 2025 I am am happy to share that I will be joining Microsoft as a research intern this summer.
Feb 19, 2025 I am honored to receive the SIGSOFT CAPS Travel Support.
Feb 3, 2025 I am honored to receive the Amazon PhD Fellowship!

📃 Selected Papers

  1. Pre-print
    Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
    Xinyu Lian, Sam Ade Jacobs, Lev Kurilenko, Masahiro Tanaka, Stas Bekman, Olatunji Ruwase,  and Minjia Zhang
    arXiv preprint arXiv:2406.18820. 2024
    Adopted by Microsoft for Phi-3.5-MoE (42B) Pre-Training
    Adopted by BigScience for BLOOM (176B) Pre-Training
    Adopted by UC Berkeley for SmileyLlama (8B) Fine-Tuning
  2. ICSE’25
    Atifact AvailableAtifact FunctionalAtifact Reusable
    Large Language Models as Configuration Validators
    Proceedings of the 47th IEEE/ACM International Conference on Software Engineering. 2025
  3. FSE’24
    Ctest4J: A Practical Configuration Testing Framework for Java
    Shuai WangXinyu Lian, Qingyu Li, Darko Marinov,  and Tianyin Xu
    Proceedings of the 30th ACM International Conference on the Foundations of Software Engineering, Demo Papers. 2024
  4. ICSE’23
    Atifact AvailableAtifact Reusable
    Test Selection for Unified Regression Testing
    Shuai WangXinyu LianDarko Marinov,  and Tianyin Xu
    Proceedings of the 45th IEEE/ACM International Conference on Software Engineering. 2023


🏖️ Service

Organizer: Brett Daniel Software Engineering Seminar
Program Committee: MSR'25
Journal Reviewer: TSE
Artifact Evaluation Committee: SOSP'24
Volunteer: ICSE'23 ICSE'25