honglak lee, phd

Associate Professor, Electrical Engineering and Computer Science



Honglak Lee is an Assistant Professor of Computer Science and Engineering at the University of Michigan, Ann Arbor. He received his Ph.D. from Computer Science Department at Stanford University in 2010, advised by Andrew Ng. His primary research interests lie in machine learning, which spans over deep learning, unsupervised and semi-supervised learning, transfer learning, graphical models, and optimization. He also works on application problems in computer vision, audio recognition, robot perception, computational healthcare, and text processing. His work received best paper awards at ICML and CEAS. He received a Google Faculty Research Award, and he has served as a guest editor of IEEE TPAMI Special Issue on Learning Deep Architectures.  He was selected as one of AI's 10 to Watch by IEEE Intelligent Systems in 2013.