I am currently a Ph.D. student at MIT, advised by Prof.Song Han.
My research area is the intersection of computer architecture and machine learning, especially software and
hardware co-design for deep learning and its applications..
Before coming to MIT, I received my B.Eng. in Electronic Engineering from Tsinghua University.
During my undergrad, I was fortunate to work with Prof.Bill
Dally and Prof.Yu Wang.
* indicates equal contribution
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Lite Transformer with Long-Short Range Attention
AutoML for Architecting Efficient and Specialized Neural Networks
IEEE Micro 2020
Point-Voxel CNN for Efficient 3D Deep Learning
A configurable multi-precision CNN computing framework based on single bit RRAM
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Hardware-Centric AutoML for Mixed-Precision Quantization
Long live TIME: improving lifetime for training-in-memory engines by structured gradient
Long live TIME: Improving lifetime and security for NVM-based training-in-memory systems
Deep Gradient Compression: Reducing the communication bandwidth for distributed training
Hornors and Awards
- 2021 Qualcomm Innovation Fellowship
- 2018 Robert J. Shillman Fellowship
- 2018 1st Place in the DAC 2018
System Design Contest, FPGA Track
- 2015/2016/2017 China National Scholarship
- 2014 Outstanding Freshman Scholarship
- Conference reviewer: ICLR, ICML, NeurIPS
- Journel reviewer: TNNLS, TKDE