Yaohui Cai

I am Yaohui Cai (蔡耀辉), a Ph.D. student at Cornell University advised by Zhiru Zhang and Chris De Sa. I received my bachelor degree at Peking University. I was a visiting student researcher at UC Berkeley worked with Kurt Keutzer and Michael Mahoney.

I mainly focus on efficient inference for deep learning. I feel excited about solving problems from a statistical perspective, which provides insights and interpretation.

Email: yc2632 [at] cornell [dot] edu

Google Scholar  /  GitHub

profile photo

Publications
[paper] [code] Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[paper] [code] Preprint
[paper] [code] International Symposium on Field-Programmable Gate Arrays (FPGA), 2021. Oral
[paper] International Conference on Machine Learning (ICML), 2021

Workshops


Education
Cornell University, USA
Ph.D. in Electrical and Computer Engineering • Jan. 2021 to Present
Peking University, China
B.Sc. in Data Science • Sep. 2016 to Jun. 2020
Massachusetts Institute of Technology, USA
Undergraduate Special Student Program (Exchange Program) • Feb. 2019 to May 2019

Experiences
Amazon Web Services (AWS) AI Lab, Amazon
Software Developement Engineer Intern • Aug 2020 to Dec. 2020
Mentor: Yida Wang
Berkeley Artificial Intelligence Research (BAIR) Lab, University of California, Berkeley, USA
Visiting Student Researcher • May 2019 to Jan. 2020
Advisors: Professor Kurt Keutzer and Professor Michael Mahoney
Computational Biology Department, Carnegie Mellon University, USA
Remote Research Intern • Feb. 2019 to May 2019
Advisor: Research Assistant Professor Min Xu
Institute of Network Computing and Information Systems, Peking University, China
Research Intern • Jan. 2018 to Dec. 2018
Advisor: Professor Bin Cui

Website source from Jon Barron and Xingyuan Sun.