| CARVIEW |
I'm an assistant professor at Shanghai Innovation Institute. I got my Ph.D. degree at Shanghai Jiao Tong University, majored in Computer Science. I am a member of APEX Lab, advised by Prof. Weinan Zhang and Prof. Yong Yu, closely collaborating with Tianqi Chen via open-source community.
My research interests include distributed machine learning system and machine learning compiler.
News
2025.07: I'm looking for self-motivated Ph.D. students who like coding and have interests in (distributed) machine learning system and AI infrastructure. Feel free to contact me via email if you are interested.
Education
Shanghai Jiao Tong University
Ph.D. in Computer Science, School of Computer Science • 2020 - 2025
Research area: machine learning compiler, machine learning system
Shanghai Jiao Tong University
B.Sc. in Computer Science, ACM Honors Class, Zhiyuan Collage. • 2016 - 2020
Projects
Apache TVM
GitHub Repo ... ...
- Open source machine learning compiler, enabling deployment models on diverse hardware backends
- Leading TensorIR project, the next generation Tensor-level IR for tensor hardware
- Co-leading TVM Unity/Relax project, the next generation Graph-level IR for dynamic models
- Contributing to several key features: TVMScript, Meta-Schudule, runtime, frontend
- Serving in Apache TVM Program Management Committee (PMC)
MLC-LLM
GitHub Repo ... ...
- Compile LLMs and deploy models natively on every device with GPU acceleration
Web-LLM
GitHub Repo ... ...
- Bringing large language models to web browsers with local GPU capabilities.
Publications
Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging
ISSTA 2025 [Paper]
Siyuan Feng*, Jiawei Liu*, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
ASPLOS 2025 [Paper]
Ruihang Lai*, Junru Shao*, Siyuan Feng*, Steven S. Lyubomirsky*, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared Roesch, Todd C. Mowry, Tianqi Chen
WebLLM: A High-Performance In-Browser LLM Inference Engine
Preprint [Arxiv]
Charlie F. Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, Tianqi Chen
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
ASPLOS 2023 [Paper]
Siyuan Feng*, Bohan Hou*, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators
OSDI 2023 [Paper]
Jie Zhao, Siyuan Feng, Xiaoqiang Dan, Fei Liu, Chengke Wang, Sheng Yuan, Wenyuan Lv, Qikai Xie
Tensor Program Optimization with Probabilistic Programs
NeurIPS 2022 [Paper]
Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, and Tianqi Chen.
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
WWW 2019 [Paper]
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
Services
Apache Software Foundation
Community member• 2024 - Present
Apache TVM
Project management committee (PMC) member• 2022 - Present
Recent Talks
History and Outlook of the Ecosystem for AI
The 6-th Turing Technology Summit @ HUAWEI [Slides]• Oct 25, 2025
PyPTO: Tile Programming and White-box Optimization (Chinese)
Open Source Summit @ HUAWEI [Slides]• Dec 19, 2025
TVM-FFI: Open ABI and FFI for Machine Learning Systems
The 8-th AI Compiler Meetup [Slides]• Dec 27, 2025