Fan Yang

Systems researcher, Research Manager of SRG@MSR-Asia

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📬 yang DOT fan DOT acm DOT org

My name is Fan Yang (杨凡 in Chinese). I am a systems researcher and research manager of the Systems Research Group (SRG) at Microsoft Research Asia (MSR-Asia).

My research passion lies in Computer Systems. My recent focus is on exploring the fundamental principles of the systems for Artificial Intelligence (AI). I am among the first to discover and advocate the now well-known design principles for AI systems, including the hardware-aligned tile abstraction for AI compilers and the relaxed monotonicity for vector stores. Noreover, I am exploring ways to build a generic reasoning engine to solve complex intelligent tasks, including math, system engineering, and other important domains, using agentic and neuro-symbolic approaches.

As a researcher, I also engage in public academic services, including serving on the program committees of ASPLOS (2022), EuroSys (2023, 2025, 2026), OSDI (2026), SOSP (2026).

We are recruiting interns the whole year, details here.

news

selected publications

  1. TileLang: Bridge Programmability and Performance in Modern Neural Kernels
    Lei Wang, and 10 more authors
    In International Conference on Learning Representations, ICLR, 2026
  2. Vibe Reasoning: Eliciting Frontier AI Mathematical Capabilities – A Case Study on IMO 2025 Problem 6
    Jiaao Wu, and 3 more authors
    ArXiv, 2025
  3. TrainVerify: Equivalence-Based Verification for Distributed LLM Training
    Yunchi Lu, and 6 more authors
    In SOSP. ArXiv version , 2025
  4. WaferLLM: A Wafer-Scale LLM Inference System
    Congjie He, and 7 more authors
    In 19th USENIX Symposium on Operating Systems Design and Implementation, OSDI. An introductory article at ;login: , 2025
  5. RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference
    Yaoqi Chen, and 17 more authors
    ArXiv, 2025