Wei Hu

Wei Hu 

Wei Hu (胡威)
Assistant Professor
University of Michigan

Email: vvh [at] umich [dot] edu

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About

I am an Assistant Professor in Computer Science and Engineering at the University of Michigan.

My research focuses on the theoretical and scientific foundations of deep learning. I aim to uncover the underlying mechanisms and principles of deep learning by opening its black box. My current approach to this challenge involves a mix of theory and empirics, on both clean, controlled problems and complex real-world models.

Previously, I was a FODSI postdoc at UC Berkeley. Before that, I completed my PhD in Computer Science at Princeton University, advised by Sanjeev Arora. I did my undergrad at Tsinghua University, where I was a member of Yao Class.

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Blog posts about my work

Teaching

University of Michigan

Princeton University

Service

Selected awards