Yichi Zhang

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

I joined Google Research in October 2023.

I received my Ph.D. from the School of Electrical and Computer Engineering at Cornell University in 2023. I was 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.

Publications

	Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat Binarized Neural Machine Translation Conference on Neural Information Processing Systems (NeurIPS), 2023 Paper
	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 Paper Code
	Yichi Zhang, Zhiru Zhang, Łukasz Lew PokeBNN: A Binary Pursuit of Lightweight Accuracy Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Paper Code
	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 Paper
	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 Paper Code Video
	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 Paper
	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 Paper Code Video

Experience

	Student Researcher Host: Łukasz Lew Google Research • Cerebra Team, Jan-Aug, 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