Yunchi Lu

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Hi, I am Yunchi Lu (陆云驰, Bill).

I am a second-year Ph.D. candidate in Computer Science at University of Michigan, where I am part of the Order Lab advised by Prof. Ryan Huang.

My research interests lie broadly in developing principled techniques to improve the correctness, observability, and reliability of large-scale systems. Currently, my work focuses on addressing silent bugs in various components of machine learning systems.

I received my M.S. in ECE from the University of Michigan and my B.E. in ECE from the UM-SJTU Joint Institute at Shanghai Jiao Tong University.

News

May 2026 Starting my internship at icon ByteDance Seed Training Infra Team!
Jan 2026 Serving as Graduate Student Instructor for icon EECS 485: Web Systems!
Jul 2025 Our paper TrainVerify is accepted by SOSP 2025!
Dec 2024 Our paper One-Size-Fits-None is accepted by NSDI 2025!
May 2024 Starting my internship at icon Microsoft Research Asia!

Publications

  1. TrainVerify
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    TrainVerify: Equivalence-Based Verification for Distributed LLM Training
    In Proceedings of ACM SIGOPS 31st Symposium on Operating Systems Principles, Seoul, Republic of Korea, Oct 2025
  2. Slow-Fault
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    One-Size-Fits-None: Understanding and Enhancing Slow-Fault Tolerance in Modern Distributed Systems
    In Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, Philadelphia, PA, USA, Apr 2025