Ma Yi
Professor
  • DIVISON: Data Science and Information Technology Research Center (TBSI)
  • EMAIL: yima@eecs.berkeley.edu PHONE:
  • OFFICE:
  • OFFICE HOURS:

Homepage: http://people.eecs.berkeley.edu/~yima/

EDUCATION

Ph.D. in Electrical Engineering and Computer Sciences, University of California at Berkeley, 2000.

Master of Arts in Mathematics, University of California at Berkeley, 2000.

Master of Science in Electrical Engineering and Computer Sciences, University of California at Berkeley, 1997.

Bachelor Degree in Automatic Control with a supplementary second degree in Applied Mathematics, Tsinghua University, Beijing, China, 1995.

 

ACADEMIC EXPERIENCES

  • Professor in residence of Department of the Electrical Engineering and Computer Sciences, University of California at Berkeley, since January 2018.

  • Affiliate Professor and co-director of the Imaging Science Lab of the Tsinghua-Berkeley Shenzhen Institute (TBSI), since March 2018. 

  • Chief Scientist of Berkeley FHL Vive Center for Enhanced Reality, since February 2018.

  • Professor of School of Information Science and Technology, ShanghaiTech University, China, February 2014–November 2017.

  • Executive Dean of School of Information Science and Technology, ShanghaiTech University, China, Septem- ber 2014 – March 2017.

  • Adjunct Associate Professor of the Electrical & Computer Engineering Department, University of Illinois at Urbana-Champaign, since January 2012.

  • Associate Professor (with tenure) of the Electrical & Computer Engineering Department, University of Illinois at Urbana-Champaign, August 2006 – December 2011.

  • Affiliate Associate Professor of the Computer Science Department, University of Illinois at Urbana- Champaign, since August 2009.

  • Research Associate Professor of the Coordinated Science Laboratory, and of the Beckman Institute, University of Illinois at Urbana-Champaign, since August 2006.

  • Visiting Professor at Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Spring 2007.

  • Visiting Senior Researcher of the Director at Microsoft Research Asia, Beijing, China, Summer and Fall 2006.

  • Assistant Professor (tenure track) of the Electrical & Computer Engineering Department, University of Illinois at Urbana-Champaign, August 2000 – August 2006.

 

INDUSTRIAL EXPERIENCES

  • Independent Director of the Board of Directors of Cheetah Mobile Inc. (NYSE: CMCM), since March 2018.

  • Director of AI Lab in Silicon Valley of Bytedance  Inc., since January  2018.

  • Cofounder of the startup Plex-VR Digital Technology  Co.  Ltd, since  2016.

  • Consultant to HTC/VIA, January 2014 to November 2017.

  • Group Manager and Principal Researcher of the Visual Computing Group, Microsoft Research Asia, Beijing, China, July 2009 – February 2014.

  • Senior Visiting Researcher of the Visual Computing Group, Microsoft Research Asia, Beijing, China, Fall 2006.

 

HONORS AND AWARDS

  • ACM Fellow, class 2017.

  • The World’s Highly Cited Researchers, ranked by Clarivate Analytics of Thomson Reuters, since 2016.

  • Top 50 of the World’s Most Influential Authors in Computer Science, ranked by Semantic Scholar, reported by Science Magazine, April 2016.

  • The Second Prize of the Inaugural Best Paper Award of the Journal on Information and Inference, Institute of Mathematics and its Applications, 2015.

  • Shanghai Academic Leaders Program Award, 2014.

  • Distinguished Speaker of the Year, China Computer Federation (CCF), 2014. 

  • IEEE Fellow, Computer Society, class 2013.

 

KEYNOTES AND DISTINGUISHED LECTURES

  • Keynote Speech at IEEE International Conference on Visual Communications and Image Processing (VCIP), Taichung, Taiwan, December 9-12, 2018.

  • Keynote Speech at Global Artificial Intelligence and Robotics Summit (CCF-GAIR2018), Shenzhen, China, June 29 - July 1, 2018.

  • Distinguished Lecture at the Global Frontiers in Science and Technology forum, the Berkeley Global Science Institute, June 11, 2018.

  • Keynote Speech at the 1st Forum on Frontiers of Science and Engineering, organized by Tsinghua Alumni Academia Club (TAAC), Seattle, May 28-30, 2018

  • Plenary Talk at Dutch Mathematical Congress, Netherlands, April 3-4, 2018.

  • Keynote Speech at United Nation 12th Internet Governance Forum (IGF), Geneva, Switzerland, December 18, 2017. 

  • Keynote Speech at China Workshops on Machine Learning and Applications (MLA), Beijing, China, November 3-5, 2017.

 

PUBLICATIONS

Google Citations: 37,670 as of April 2018, with H-index at 66, with three papers once ranked No.1 as the most cited papers (of the Journal  of  ACM,  IEEE  Trans.  on  Pattern  Analysis  and  Machine  Intelligence,  and IEEE Trans. on Image Processing respectively) within the past five years by Google Scholar Metrics. Among  the World’s Highly Cited Researchers of 2016 ranked by Clarivate Analytics of Thomson Reuters and among Top 50 of the World’s  Most Influential Authors in Computer Science, ranked by Semantic Scholar, reported  by Science Magazine, April 2016.


Books Authored:

1.High-Dimensional Data Analysis via Low-Dimensional Models, John Wright, Yi Ma, and Allen Yang, expected 2019.

2.Generalized Principal Component Analysis, Ren′e Vidal, Yi Ma, and Shankar Sastry, Springer Series on Interdisciplinary Applied Mathematics (IAM #40), 566 pages/121 illustrations, Springer, New York, 2016.

3.An Invitation to 3-D Vision:  From Images to Geometric Models, Yi Ma, Stefano Soatto, Jana Koˇseck′a, and Shankar Sastry, Springer Series on Interdisciplinary Applied Mathematics (IAM #26), 526 pages/170 illustrations, Springer, New York, 2004.


Books Edited:

1. Dynamical Vision, edited by Rene Vidal, Anders Heyden, and Yi Ma, Lecture Notes in Computer Science (LNCS #4358), 329 pages, Springer, 2007.

? Journal Special Issue Edited:

1.Special issue on Real-World Face Recognition, edited with Hua Gang, Eric Learned-Miller, Thomas Huang, and David Kriegman, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.

2.Special issue on Dimensionality Reduction via Subspace and Manifold Learning, edited by Yi Ma, Partha Niyogi, Guillermo Sapiro, and Ren′e Vidal, IEEE Signal Processing Magazine, March 2011.

3.Special issue on Applications of Sparse Representation and Compressive Sensing, edited by Richard Baraniuk, Emmanuel Candes, Michael Elad, and Yi Ma, Proceedings of IEEE, June 2010.

Refereed Journal Papers:

1.“Label Information Guided Graph Construction for Semi-Supervised Learning,” Liansheng  Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, and Yi Ma, IEEE Transactions on Image Processing, 2017.

2.“Texture Repairing by Unified Low Rank Optimization,” Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma, 31 (3), pages 525-546, Journal of Computer Science and Technology, 2016.

3.“ROML: A Robust Feature Correspondence Approach for Matching Objects in a Set of Images,” Kui Jia, Tsung-Han Chan, Zinan Zeng, and Yi Ma, Vol.  117, issue 2, pages 173-197, the International  Journal   of Computer Vision (IJCV), 2016.

4.“PCANet: A Simple Deep Learning Baseline for Image Classification?” Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, and Yi Ma, 24 (12), pages 5017-5032, IEEE Transactions on  Image Processing, 2015.