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 Bytedance Research Lab, Silicon Valley Malong Technologies
Research Publications Talks Students Teaching Services Biography Honors CV.pdf
News: New Website: Berkeley FHL Vive Center for Enhanced Reality New Journal Alert: SIAM Journal on Mathematics of Data Science. Berkeley Perception, Inference, and Decision (PID) Group: under development. Events: Invited Talk at Asilomar2019 workshop on Theory of Machine Learning, Pacific Grove, Nov. 3-6, 2019. ICCV2019 tutorial: Learning to Reconstruct Holistic 3D Structures from Sensorial Data , Seoul, Korea, Oct. 28, 2019. Invited Talk at ICCV2019 workshop on Statistical Deep Learning in Computer Vision, Seoul, Korea, Oct. 27, 2019. Invited Talk at TBSI Workshop on Learning Theory, Shenzhen, China, July 15-16, 2019. TBSI Summer Course on High-Dimensional Data Analysis, Shenzhen, China, July 4-13, 2019. Invited Lectures at Bytedance Inc., Beijing, June 24, 2019. CVPR2019 Conference, Long Beach, June 17-21, 2019. CVPR2019 Area Chair Meeting & Workshop, San Diego, Feb. 22-25, 2019. Berkeley Active Vision Study Group (Tuesday 1-2pm, Cory Hall 337, Spring 2019). Berkeley Assured Autonomy Seminar (Monday 3-4pm, Soda Hall, Spring 2019). Berkeley Learning Theory Study Group (Friday noon, Cory Hall 337, Spring 2019). Stanford Learning Theory Study Group (Wednesday dinner, Packard Building, Fall 2018). Project Websites: Low-Dimensional Structures and Deep Networks (under development). Pursuit of Large-Scale 3D Structures and Geometry (under development). 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).   ©2007 Yi Ma Last modified: Mon Aug 12 16:17:18 PDT 2019