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 currently serves as an associate editor-in-chief of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), and as an associate editor of International Journal of Computer Vision (IJCV). He served as a co editor-in-chief of CVIU from 2022 to 2023; associate associate editor-in-chief of CVIU from 2016 to 2022; associate editor of CVIU from 2012 to 2016; associate editor of PAMI from 2007 to 2011; associate editor of Image and Vision Computing (IVC) from 2009 to 2022; and associate editor of Journal of Artificial Intelligence (JAIR) from 2015 to 2020.

He serves as a senior area chair or an area chair for several conferences including IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in 2008, 2009, 2014, 2018, 2021, 2022, and 2023; IEEE International Conference on Computer Vision (ICCV) in 2011, 2015, 2017, 2021, and 2023; European Conference on Computer Vision (ECCV) in 2014, 2016, 2018, 2020, 2022, and 2024; Asian Conference on Computer (ACCV) in 2009, 2010, 2012, 2020, 2022, and 2024; British Machine Vision Conference (BMVC) 2018, 2019, 2020, 2021, 2022, and 2023; Neural Information Processing Systems (NeurIPS) 2021, 2022, 2023, and 2024; International Conference on Learning Representations (ICLR) 2022, 2023, and 2024; International Conference on Machine Learning (ICML) 2023 and 2024; AAAI National Conference on Artificial Intelligence (AAAI) in 2020, 2011, 2022, 2023, and 2024; International Joint Conference on Artificial Intelligence (IJCAI) 2019, 2020, 2021, 2022, 2023, and 2024 ; IEEE International Conference on Automatic Face and Gesture Recognition (FG) in 2011 and 2013; IEEE Winter Conference on Applications and Computer Vision (WACV) in 2014, 2016, 2018, and 2022.

Yang received several paper awards including the 2023 Longuet-Higgins Prize at CVPR; 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 Highly Cited Researchers by Clarivate Analytics in 2018-2021.

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 received the Distinguished Research Award from UC Merced Senate. He is a Fellow of the IEEE and ACM.