Yanqi Zhou is currently a staff research scientist at Google Deepmind (previously known as Google Brain), Mountain View, working with James Laudon. She pursued her Ph.D. degree at Princeton University, advised by David Wentzlaff.

Toju Duke, Lucas Dixon, Kun Zhang, Quoc Le, Yonghui Wu, Zhifeng Chen, and Claire Cui. GLaM: Efficient scaling of language models with mixture-of-experts. N Du, Y Huang, AM Dai, S Tong, …

Yanqi Zhou is a research scientist at Google Brain, Mountain View, working with James Laudon. She pursued her Ph.D. degree at Princeton University, advised by David Wentzlaff. During her Ph.D. study (2011-2017), she also collaborated extensively with Doug Burger and Karin Strauss at Microsoft Research.

2022年2月18日 · View a PDF of the paper titled Mixture-of-Experts with Expert Choice Routing, by Yanqi Zhou and Tao Lei and Hanxiao Liu and Nan Du and Yanping Huang and Vincent Zhao and Andrew Dai and Zhifeng Chen and Quoc Le and James Laudon

2023年5月29日 · Brainformer consistently outperforms the state-of-the-art dense and sparse Transformers, in terms of both quality and efficiency. A Brainformer model with 8 billion …

2016年6月18日 · View Yanqi Zhou’s profile on LinkedIn, a professional community of 1 billion members.

Yanqi Zhou (Member, IEEE) received the bachelor’s degree from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA, and the Ph.D. degree from Princeton University, Princeton, NJ, USA. She is a Research Scientist with Google Brain, Mountain View, CA, USA. Her research interest lies in computer systems and machine learning.

Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm: Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search. WACV 2023: 1400-1410

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Yanqi Zhou's 32 research works with 1,151 citations and 23,797 reads, including: FLuRKA: Fast fused Low-Rank & Kernel Attention