Yuntao WANG

Yuntao Wang is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. His research focuses on Human-Computer Interaction (HCI) and Ubiquitous Computing, with an emphasis on efficient behavioral and physiological sensing and the design of intelligent interactive interfaces for mobile and wearable devices. Dr. Wang's work includes developing robust sensing techniques for commodity devices, extracting spatiotemporal patterns from multimodal data, and designing interfaces optimized for resource-constrained edge devices. He has published over 80 academic papers, including more than 50 in top-tier venues such as ACM CHI, UIST, IMWUT, NeurIPS, and IEEE VR. His work has received eight international conference awards, and he has been granted more than 30 invention patents.

Yuntao Wang is a researcher at Tsinghua University specializing in physiological sensing, wearable technology, human-computer interaction, and rPPG. His work focuses on developing innovative tools and datasets for remote physiological sensing, such as the rPPG toolbox and the Mmpd dataset. Wang's research also explores novel interaction methods, including dual IMU rings for gesture typing and smartwatches for touch-free target selection. His contributions span from adaptive human-AI interventions to camera-based remote photoplethysmography, emphasizing practical applications in health and user experience. His work bridges wearable computing and physiological sensing to enhance user engagement and health monitoring.