Fan Yang

Fan Yang
Systems Researcher
Microsoft Research Asia

About Me

My name is Fan Yang (杨凡 in Chinese). I am a systems researcher at Microsoft Research Asia (MSR-Asia), where I lead Systems Research Group (SRG).

My research focuses on intelligent computer systems. In particular, I am interested in uncovering the fundamental principles that guide the design of systems in the age of artificial intelligence (AI). My work has helped establish several ideas now widely used in AI systems, including hardware-aligned tile abstractions for AI compilers and relaxed monotonicity for vector stores. I am also exploring how to build a general-purpose reasoning engine for complex tasks in mathematics, systems engineering, and other domains by combining agentic and neuro-symbolic approaches.

I also contribute to the broader research community, including through service on the program committees of ASPLOS (2022); EuroSys (2023, 2025, 2026); OSDI (2026); SOSP (2026).

We are recruiting interns the whole year, details here.

Publications

  1. STAR-PólyaMath: Multi-Agent Reasoning under Persistent Meta-Strategic Supervision
    Jiaao Wu, and
    ArXiv 2026.
  2. TileLang: Bridge Programmability and Performance in Modern Neural Kernels
    Lei Wang, and
    ICLR 2026.
  3. TrainVerify: Equivalence-Based Verification for Distributed LLM Training
    Yunchi Lu, and
    SOSP 2025. ArXiv version.
  4. WaferLLM: A Wafer-Scale LLM Inference System
    Congjie He, and