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 a 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 a co-author of the best student paper at ISCSLP 2014, and a winner of the best paper award at WACV 2015. 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.