Yi Ma
Professor in ResidenceInfo Links
Research Areas
Artificial Intelligence (AI)Control, Intelligent Systems, and Robotics (CIR)
Signal Processing (SP)
Computer Vision
Compressive Sensing
Research Centers
Berkeley Artificial Intelligence Research Lab (BAIR)Center for Augmented Cognition (CAC)
Tsinghua-UC Berkeley Shenzhen Institute (TBSI)
FHL Vive Center for Enhanced Reality
Teaching Schedule
Fall 2020
EE 290-2. High-dimensional Data Analysis with Low-dimensional Models (Theory, Computation, and Applications), TuTh 3:30PM - 4:59PM, Internet/OnlineSpring 2021
EE 290-5. Advanced Topics in Electrical Engineering, TuTh 9:30AM - 10:59AM, Cory 293Biography
Yi Ma received his B.S. degree in Automation and Applied Mathematics from Tsinghua University, China in 1995, an M.S. degree in EECS in 1997, an M.A. degree in Mathematics in 2000, and a Ph.D. in EECS in 2000 all from UC Berkeley. He was on the faculty of ECE Department of the University of Illinois at Urbana-Champaign from 2000 to 2011. He was the manager of the Visual Computing Group and a principal researcher of Microsoft Research in Asia from 2009 to 2013. He was then a founding professor and the executive dean of the School of Information Science and Technology of ShanghaiTech University from 2014 to 2017. He joins the faculty of EECS of UC Berkeley in 2018. You may find a more detailed biography from the website at: http://people.eecs.berkeley.edu/~yima/Biography.htmlEducation
2000, Ph.D., EECS, University of California, Berkeley2000, M.A., Mathematics, University of California, Berkeley
1997, M.S., EECS, University of California, Berkeley
1995, B.S., Automation & Applied Mathematics, Tsinghua University, China
Selected Publications
R. Vidal, Y. Ma, and S. S. Sastry, Generalized Principal Component Analysis, first ed., Interdisciplinary Applied Mathematics, Vol. 40, New York: Springer-Verlag, 2016.E. Candes, X. Li, Y. Ma, and J. Wright, "Robust Principal Component Analysis," Journal of the ACM, vol. 58, no. 1, pp. 1--37, 2011.
J. Wright, A. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust Face Recognition via Sparse Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210 -- 227, 2009.
Y. Ma, S. Soatto, J. Kosecka, and S. S. Sastry, An Invitation to 3D Vision: From Images to Models, first ed., Interdisciplinary Applied Mathematics, Vol. 26, New York: Springer-Verlag, 2004.
Awards, Memberships and Fellowships
Society for Industrial & Applied Mathematics (SIAM) Fellow, 2020Association for Computing Machinery (ACM) Fellow, 2017
Institute of Electrical & Electronics Engineers (IEEE) Fellow, 2013
Office of Naval Research Young Investigator, 2005
NSF Faculty Early Career Development Award (CAREER), 2004
CS TCPAMI ICCV Best Paper Award/David Marr Prize, 1999