CV
Education
- Ph.D in Electrical and Computer Engineering, University of California, Santa Barbara, 2022 (Expected)
- M.S. in Electronic Engineering, Tsinghua University, 2017
- B.S. in Electronic Engineering, Tsinghua University, 2014
Professional Experience
- June 2021 - Sept 2021: Software Engineer Intern
- Facebook – Remote (Due to Covid-19)
- AI Infra Software and Hardware Co-design Team
- Project: Reinforcement Learning based Quantization for Recommendation Models
- Supervisor: Summer Deng, and Peter Tang
- May 2020 - May 2021: Student Researcher
- Google – Remote (Due to Covid-19)
- Platform and Performance Team, Google Cloud
- Project: Efficient Architectural Exploration for ML Accelerators
- Supervisor: Sheng Li, and Norm Jouppi
- Summer 2018/2019: Hardware Engineer Intern
- Google – Sunnyvale, CA
- Platform and Performance Team, Google Cloud
- Project: Hardware Modeling for ML Accelerators
- Supervisor: Sheng Li, and Norm Jouppi
- Oct 2016 - May 2017: Research Intern
- Deephi Technology (Now Part of Xilinx) – Beijing, China
- Project: Neural Network Model Compression and Quantization
- Supervisor: Yi Shan
Awards and Honors
- Excellent Thesis Award, Tsinghua University, 2017 (Top 2%)
- Richard Newton Young Student Fellow, the 54th Design Automation Conference (DAC), 2017
Teaching
- UCSB, ECE152A (Digital Design Principle) - Spring 2018
- Tsinghua, DSP System Design - Fall 2014
- Tsinghua, Introduction to Computer Architecture - Spring 2014
Academic Service
