Siyuan Feng
Assistant Professor
Shanghai Innovation Institute
I'm an assistant professor at Shanghai Innovation Institute. My research interests include distributed machine learning system and machine learning compiler. I'm serving as Apache Software Foundation Member and member of Apache TVM Program Management Committee (PMC). My work focuses on developing efficient compilation and optimization techniques for machine learning systems, accelerating the development and deployment of emerging models on emerging platforms.
I got my Ph.D. degree at Shanghai Jiao Tong University, majored in Computer Science. I was a member of APEX Lab, advised by Prof. Weinan Zhang and Prof. Yong Yu, closely collaborating with Tianqi Chen via open-source community.
Latest Updates
I'm looking for self-motivated Ph.D. students who like coding and have interests in(distributed) machine learning system and AI infrastructure. Prospective students should have strong programming skills and genuine passion for systems research. Feel free to contact me via email with your CV and research interests if you are interested.
Highlights
Recent Publications
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Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction
Preprint, 2025 -
ReSpec: Towards Optimizing Speculative Decoding in Reinforcement Learning Systems
Preprint, 2025 -
Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving
Preprint, 2025
Featured Projects
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Apache TVM
Open Machine Learning Compiler Framework. -
MLC-LLM
Universal LLM Deployment Engine with ML Compilation. -
PyPTO
PyPTO: Parallel Tensor/Tile Operation Programming Paradigm. -
Nex-N1
Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction.
Recent Talks
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TVM-FFI: Open ABI and FFI for Machine Learning Systems
The 8-th AI Compiler Meetup, Dec 2025 -
PyPTO: Tile 编程与白盒编译
Open Source Summit @ HUAWEI, Dec 2025 -
History and Outlook of the Ecosystem for AI
The 6-th Turing Technology Summit @ HUAWEI, Oct 2025