Yichi Zhang

Ph.D. Candidate
Department of Electrical and Computer Enginnering
Cornell University
Email yz2499 AT cornell DOT edu
Office Rhodes Hall 471D, Ithaca, NY, 14853

I am a fifth year Ph.D. student in the Department of Electrical and Computer Engineering at Cornell University. I am a member of the Cornell Computer Systems Lab, advised by Professor Zhiru Zhang. My research interests align with the area of efficient ML model-hardware co-design. My work spans neural network quantization/binarization algorithms, accelerators, and building learning systems at hyperscale.

In my leisure time, I enjoy writing fiction, playing classical guitar, and hiking.

Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Binarized Neural Machine Translation
ArXiv:2302.04907, 2023
Tao Yu*, Yichi Zhang*, Zhiru Zhang, Christopher De Sa
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Conference on Neural Information Processing Systems (NeurIPS), 2022
Yichi Zhang*, Zhiru Zhang, Łukasz Lew*
PokeBNN: A Binary Pursuit of Lightweight Accuracy
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Conference on Neural Information Processing Systems (NeurIPS), 2021
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
International Symposium on Field-Programmable Gate Arrays (FPGA), 2021
Best Paper Nominee
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, ..., Yichi Zhang et. al.
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Special Session at Design, Automation and Test in Europe Conference (DATE), 2021
Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
International Conference on Learning Representations (ICLR), 2020

Student Researcher
Host: Łukasz Lew
Google Research • Cerebra Team, Jan-Present, 2023
Student Researcher
Hosts: Ankush Garg and Yuan Cao
Google Brain • Brain Shift Team, Aug-Dec, 2022
Research Intern
Hosts: Ankush Garg and Yuan Cao
Google Research • Translate Team, May-Aug, 2022
Student Researcher
Hosts: Łukasz Lew and Oleg Rybakov
Google Research • Cerebra Team, Aug-Dec, 2021
Research Intern
Hosts: Łukasz Lew and Oleg Rybakov
Google Research • Cerebra Team, May-Aug, 2021
Machine Learning in Logic Synthesis
Yuan Zhou, Jordon Dotzel, Yichi Zhang
29th Int’l Workshop on Logic and Synthesis (IWLS) Programming Contest, July, 2020
Top-3 winning team