Zhiding Yu is a senior research scientist at NVIDIA Research. Before joining NVIDIA, he received his Ph.D. in ECE from Carnegie Mellon University in 2017. His research interests mainly focus on deep representation learning, weakly/self-supervised learning, transfer learning, and deep structured prediction, with their applications to visual recognition and general CV problems. He served as an area chair for NeurIPS 2021/2022 and WACV 2023. He is a recipient of the best paper awards at WACV 2015 and BMVC 2020. His work on deep facial expression recognition at Microsoft Research was partly integrated into the Emotion Recognition API under the Microsoft Azure Cognitive Services (media coverage). At NVIDIA, he led numerous efforts to develop state-of-the-art Vision Transformer and general visual recognition models, with their applications to auto-labeling, AV perception, and other scene understanding problems.
