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: A New Textbook: High-Dimensional Data Analysis with Low-Dimensional Models (or a free pre-production version). A New Manuscript: Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. A New Course EECS208, Fall 2021: Computational Principles for High-Dimensional Data Analysis (with a Course Website and Course Piazza). Events: Keynote Speech at the International School on Deep Learning (DeepLearn 2022), United Kingdom, postponed to January 2023. Keynote Speech at the biennial Canadian Workshop on Information Theory (CWIT) 2022, Ottawa, Canada, June 5-8, 2022. Plenary Talk at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore, May 22-27, 2022. Plenary Talk at International Workshop on Mathematical Issues in Information Sciences, Shenzhen, China, December 18-19, 2021. Invited Talk at the Maths, Artificial Intelligence and Neuroscience - MAIN seminar, KTH Stockholm, Sweden, December 13-15, 2021. Invited talk at SEA AI Lab (SAIL), Singapore, December 7, 2021. Invited talk at Redwood Center for Theoretical Neuroscience, UC Berkeley, December 2, 2021. Organizer and Speaker of the 2nd Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN), November 22-23, 2021. Invited Talk at INTheory Seminar Series, Sun Yat-sen University, November 4, 2021. Panel on Towards Human-Like Visual Learning and Reasoning, Microsoft Faculty Summit, October 19-21, 2021. Keynote Speech at Microsoft Faculty Summit, October 19-21, 2021. Invited Talk at Baidu Research, October 19, 2021. Organizer of ICCV 2021 Workshop on Holistic Structure for 3D Vision, October 11, 2021. Invited Talk at School of Data Science, City University of Hong Kong, October 6, 2021. Talk at 2021 Mathematical and Scientific Foundations of Deep Learning Annual Meeting, Simons Foundation in NYC, Sept. 30 - Oct. 1, 2021. Digital Futures Distinguished Lecture at KTH Royal Institute of Technology, Sweden, September 15, 2021. Invited Talk at Department of Mathematics, RWTH Aachen University, Germany, August 23, 2021. Invited Talk at Theoretically Inclined Machine Learning (TML) seminar, Department of EECS and Mathematics, University of Ottawa, Canada, August 17, 2021. Talk at ONR Science of Autonomy, August 12, 2021. Workshop on Mathematics of Deep Learning, Isaac Newton Institute, University of Cambridge, summer 2021. Keynote Speech at the International Conference on Image, Vision and Computing, Qingdao, China, July 23-25, 2021. Invited Talk at MILA, University of Montreal, Quebec, July 16, 2021. Keynote Speech at the Annual Meeting of Chinese Society of Industrial and Applied Mathematics (CSIAM), China, July 11, 2021. Keynote Speech at CVPR21 Workshop on Neural Architecture Search, June 25, 2021. Invited Talk (YouTube video) at CVPR21 Workshop on 3D Scene Understanding, June 19, 2021. Invited Talk at Seminar on Mathematics of Deep Learning, Flatiron Institute, Simons Foundation, June 15, 2021. Keynote Speech (Bilibili Video in Chinese) at Beijing Academy of Artificial Intelligence (BAAI) Conference, June 2, 2021. Invited Talk (Tecent Video in Chinese) at the AIR Seminar of the Institute for AI Industrial Research, Tsinghua University, May 27, 2021. Keynote Speech at the Annual Meeting of the AI Institute of Harbin Institute of Technology, China, May 22, 2021. Invited Talk at the MAD Seminar of Center for Data Science and Courant Institute, NYU, May 14, 2021. Invited Talk at the Data Science Institute (DSI) Seminar at Lawrence Livermore National Laboratory, May 10, 2021. Invited Talk at Qualcomm Research, April 29, 2021. Invited Talk (YouTube video) at the Communications and Signal Processing Seminar of EECS Dept., University of Michigan, April 29, 2021. Invited Talk (YouTube video) at the Math-Science Literature Lecture Series, Center of Mathematical Sciences and Applications, Harvard University, April 16, 2021. Invited Talk at MADD seminar, Institute of Data Science, UC Davis, April 13, 2021. Invited Talk at the Technion Computer Vison Colloquium, the Pixel Club of Technion, Israel Institute of Technology, April 6, 2021. Invited Talk (YouTube video) at One World MINDS Seminar, April 1st, 2021. Deep Networks from First Principles, talk at Redwood Center for Theoretical Neuroscience, UC Berkeley, March 12, 2021. Deep Networks from First Principles, talk at Semiautonomous Seminar, UC Berkeley, 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 CSMl and EE Seminar, Princeton University, January 15, 2021. Berkeley Assured Autonomy Seminar (TBD, Spring 2021). Berkeley Learning Theory Study Group (Friday noon, Spring 2021). Project Websites: Deep Networks from the Principle of Rate Reduction. 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: Mon Nov 29 23:21:31 PST 2021