Ming-Hsuan Yang is a Professor in Electrical Engineering and Computer Science at University of California, Merced. He received the PhD degree in computer science from the University of Illinois at Urbana-Champaign in 2000. He studied computer science and power mechanical engineering at the National Tsing-Hua University, Taiwan; computer science and brain theory at the University of Southern California; and artificial intelligence and operations research at the University of Texas at Austin. He was a senior research scientist at the Honda Research Institute (formerly Honda Fundamental Research Labs) working on vision problems related to humanoid robots. In 1999, he received the Ray Ozzie fellowship for his research work. His research interests include computer vision, pattern recognition, artificial intelligence, robotics, and machine learning.

Yang serves as a program co-chair of IEEE International Conference on Computer Vision (ICCV) in 2019, program co-chair of Asian Conference on Computer Vision (ACCV) in 2014, and general co-chair of ACCV 2016. He has served as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) from 2007 to 2011, and currently serves as an associate editor of the International Journal of Computer Vision (IJCV), Computer Vision and Image Understanding (CVIU), Image and Vision Computing (IVC) and Journal of Artificial Intelligence (JAIR).

He serves as an area chair for several conferences including IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in 2008, 2009, 2014, and 2018; IEEE International Conference on Computer Vision (ICCV) in 2011, 2015 and 2017; European Conference on Computer Vision (ECCV) in 2014, 2016 and 2018; Asian Conference on Computer (ACCV) in 2009, 2010, and 2012; AAAI National Conference on Artificial Intelligence (AAAI) in 2011; and IEEE International Conference on Automatic Face and Gesture Recognition (FG) in 2011, IEEE Winter Conference on Applications and Computer Vision (WACV) in 2014, 2016 and 2018.

Yang received several paper awards including the 2018 CVPR Best Paper Honorable Mention; 2018 ACCV Best Student Paper Honorable Mention; 2017 ACM UIST Best Paper Honorable Mention; and 2014 iThings Best Paper. He is one of the 2018 Highly Cited Researchers by Clarivate Analytics.

Yang received the Google Faculty Award in 2009, and the Distinguished Early Career Research Award from the UC Merced Senate in 2011. Yang is a recipient of the Faculty Early Career Development (CAREER) award from the National Science Foundation in 2012. In 2015, Yang receives the Distinguished Research Award from UC Merced Senate. He is a Fellow of the IEEE and Senior Member of the ACM.

Last Update: 01/06/19