Zhiding Yu is a Senior Research Scientist at NVIDIA. Before joining NVIDIA in 2018, he received a Ph.D. in ECE from Carnegie Mellon University in 2017, and an M.Phil. in ECE from The Hong Kong University of Science and Technology in 2012. His research interests mainly focus on deep representation learning, weakly/self-supervised learning, transfer learning and deep structured prediction, with their applications to vision and robotics problems. He is a winner of the Domain Adaptation for Semantic Segmentation Track, WAD Challenge at CVPR 2018. He is an author of the best student paper at ISCSLP 2014 and the best paper awards at WACV 2015 / BMVC 2020. His intern work on deep facial expression recognition at Microsoft Research won first runner-up at the EmotiW-SFEW Challenge 2015 and was integrated into the Microsoft Emotion Recognition API under the Microsoft Azure Cognitive Services.
