Xinyu Lian

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I am a second-year CS Ph.D. candidate at the University of Illinois Urbana-Champaign, working with Minjia Zhang. I study machine learning systems and reinforcement learning, with a current focus on efficient & scalable RL training and agentic RL.

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


🔥 News

Apr 1, 2026 Our work SuperOffload received the ASPLOS 2026 Best Paper Honorable Mention.
Mar 2, 2026 I am honored to receive the Microsoft Research Fellowship.
Feb 3, 2025 I am honored to receive the Amazon AI PhD Fellowship.

📃 Selected Papers

  1. ASPLOS’26
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    SuperOffload: Unleashing the Power of Large-Scale LLM Training on Superchips
    Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating System. 2026
    🏆 ASPLOS 2026 Best Paper Award Honorable Mention
    Featured by PyTorch Official Blog
    Presented at PyTorch Conference 2025, Ray x DeepSpeed Meetup
  2. ATC’25
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    Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing System for Large-Scale DNN Training with Reconfigurable Parallelism
    Xinyu Lian, Sam Ade Jacobs, Lev Kurilenko, Masahiro Tanaka, Stas Bekman, Olatunji Ruwase,  and Minjia Zhang
    Proceedings of the 2025 USENIX Annual Technical Conference. 2025
    Adopted by Microsoft for Phi-3.5-MoE (42B) Pre-Training
    Adopted by BigScience for BLOOM (176B) Pre-Training
    Adopted by StepFun and Baidu for multimodal model post-training.
    Presented at PyTorch Day 2025, FMS 2025, SDC 2025
  3. ICSE’25
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    Large Language Models as Configuration Validators
    Proceedings of the 47th IEEE/ACM International Conference on Software Engineering. 2025


🏅 Awards & Honors

Microsoft Research Fellowship ($43K)
Amazon AI PhD Fellowship ($70K)
ASPLOS 2026 Best Paper Honorable Mention
ASPLOS 2026 Travel Grant
USENIX ATC 2025 Travel Grant
SIGSOFT CAPS Travel Grant
Outstanding Graduate of Zhejiang Province

🏖️ Service

Organizer: Brett Daniel Software Engineering Seminar
Program Committee: MSR'25
Reviewer: ICML, NeurIPS, TSE
Artifact Evaluation Committee: SOSP'24