University of California, Berkeley
Department of Electrical Engineering and Computer Sciences

	Professor Yi Ma   Electrical Engineering and Computer Sciences University of California, Berkeley Office:    EECS Department, 333A Cory Hall # 1770               University of California, Berkeley, CA 94720-1770, USA. Email:     yima@eecs.berkeley.edu Phone:   +1 (510) 664 4565 Other Affiliations Berkeley Artificial Intelligence Research (BAIR) Berkeley Center for Augmented Cognition (CRC) Berkeley FHL Vive Center for Enhanced Reality Malong Technologies
Research Publications Talks Students Teaching Services Biography Honors CV.pdf
News: New Textbook: High-Dimensional Data Analysis with Low-Dimensional Models (pre-production copy download). Spring 2021 Course EE290-005: Integrated Perception, Learning and Control. Spring 2021 Course EECS106B/206B: Robotic Manipulation and Interaction. Events: Invited Talk at the Math-Science Literature Lecture Series, Center of Mathematical Sciences and Applications, Harvard University, 2021. Invited Talk at the Mathematics of Deep Learning program, Isaac Newton Institute, University of Cambridge, 2021. Keynote Speech at the International Conference on Image, Vision and Computing, Qingdao, China, July 23-25, 2021. Invited Talk at One World MINDS Seminar, April 1st, 2021. Deep Networks from First Principles, talk at Berkeley Semiautonomous Seminar, February 19, 2021. Overview of Reinforcement Learning and Optimal Control, and YouTube video , February 17, 2021. Keynote Speech at Computational Imaging Conference, January 21, 2021. Invited talk at HTC and VIA, January 19, 2021. Invited talk at Princeton CSMl and EE Seminar, January 15, 2021. Berkeley Assured Autonomy Seminar (TBD, Spring 2021). Berkeley Learning Theory Study Group (Friday noon, Spring 2021). Project Websites: Low-Dimensional Structures and Deep Networks. Pursuit of Large-Scale 3D Structures and Geometry. UIUC/MSRA: Low-Rank Matrix Recovery via Convex Optimization (with Wright, Lin and Candes et. al.). UIUC: Face Recognition via Sparse Representation (with Wright, Ganesh, Yang, Zhou and Wagner et. al.). UIUC: Clustering and Classification via Lossy Compression (with Wright Yang, Mobahi, and Rao et. al.). UIUC: Generalized Principal Component Analysis (with Huang and Vidal).   ©2017 Yi Ma Last modified: Tue Feb 23 09:02:33 PST 2021