Huiyuan Yang is an Assistant Professor in the Department of Computer Science at the Missouri S&T. Prior to this role, he was a Postdoctoral Research Associate at Rice University, where he works with Dr. Akane San in the Computational Wellbeing Group and Digital Health Lab. He received his PhD in Computer Science, Binghamton University 2021, master's degree from Chinese Academy of Sciences, Beijing in 2014, and B.E in Wuhan University in 2011 respectively. His research is at the intersection of machine learning and multimodal human-centered data, using a variety of sensory data (e.g., video, motion capture, wearable sensors, EHR), to develop models and datasets, and thus understand human behavior, enhance human physical and cognitive performance, and improve health.

His work has appeared in top-tier venues including CVPR, ICCV, ACM MM, Transactions on Affective Computing, and others. He has been a PC member/reviewer for NeurIPS, ICLR, CVPR, KDD, IJCAI, ICCV, AAAI, ACM MM, ACII, FG and others, and an active reviewer for more than 25 journals. His dissertation won the Binghamton University Distinguished Dissertation Award (2021). He has co-organized three workshops and co-released several popular multimodal datasets, including BU-EEG, 3DFAW, BP4D+ and SMILE dataset.