About Me

I'm a Ph.D. student at Zhiyuan Honors Program 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.

I am a PMC member of Apache TVM, working closely with Tianqi Chen. I am working on TVM Unity, including TensorIR, Meta-Schedule, Auto-Tensorization and Relax (next Relay).

My research interests include deep learning compiler, machine learning system and urban data computing. I am also interested in distributed systems and computer networks.

Contact Details

Shanghai Jiao Tong University
800 Dongchuan RD. Minhang District
Shanghai, China
me@syfeng.net

Download Resume

Education

Shanghai Jiao Tong University

Ph.D. in Computer Science • 2020 - Present

I'm a member of Zhiyuan Honors Ph.D. Program

Zhiyuan Honors Program for Ph.D. students is a high-level talent training program aiming to cultivate a group of leading talents in future science and engineering technology with broad vision, scientific spirit and innovative ability

Shanghai Jiao Tong University

B.Sc. in Computer Science • 2016 - 2020

I'm a member of ACM Honors Class, Zhiyuan Collage.

Zhiyuan Collage is a collage for training outstanding students in the basic sciences, while ACM Honors Class is an elite CS program for top 5% talented students.

Research

APEX Data & Knowledge Management Lab

Shanghai Jiao Tong University • July 2018 - Present

  • Member of APEX Lab, advised by Prof. Weinan Zhang and Prof. Yong Yu.
  • Now I am working on TVM, an exciting deep learning compiler stack.
  • My major research topic is deep learning compiler, machine learning system and urban data computing.

SAMPL

University of Washington• July 2019 - Dec 2019

Publications

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

WWW 2019 Demo• May 2019 [arXiv]

Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li

CoT: Cooperative Training for Generative Modeling of Discrete Data

ICML 2019• May 2019 [arXiv]

Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang, Yong Yu

Teaching

MLC: Machine Learning Compilation

Open Source Online Course• Summer 2022 • Course Page

  • One of the TAs of this course, while Tianqi Chen is the instructor.
  • The course teaches machine learning compilation with TVM Unity framework.

Apache TVM

Open Deep Learning Compiler Stack

  • Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet into minimum deployable modules on diverse hardware backends.
  • Infrastructure to automatic generate and optimize tensor operators on more backend with better performance.

CityFlow

A Simulator for Large Scale City Traffic Scenario

  • CityFlow is a new designed open-source traffic simulator, which is much faster than SUMO (Simulation of Urban Mobility).
  • CityFlow can support flexible definitions for road network and traffic flow based on synthetic and real-world data.
  • It also provides user-friendly interface for reinforcement learning.

M-Compiler

A Compiler for M* Language

  • It is a compiler implemented in Java with the source language M*, which is a C-and-Java-like language.
  • Implemented many optimizations for the compiler, which got it faster than gcc -O1.
  • Final score: 95 / 100

RISC-V CPU

A RISC-V CPU on FPGA

  • Designed and implemented a FPGA-supported RISC-V CPU with 5-stage pipeline implemented in Verilog HDL.