热门
Yuntao Wang
Associate Professor (Research Track)
Yuntao Wang’s research centers on physiobehavioral computing and
intelligent interaction for mobile and wearable systems. His work
focuses on (1) developing robust, efficient sensing that performs
reliably on mainstream devices, (2) extracting spatiotemporal patterns
from multimodal signals to infer interaction intent by leveraging
natural behavioral correlations, and (3) designing edge-efficient interfaces
that deliver high performance on mobile and wearable platforms.
He has published 90+ papers, received 10 international conference awards,
and holds 30+ granted patents. His contributions have been
recognized with honors including the Wu Wenjun AI Outstanding Youth
Award (2024), the CAST Young Elite Scientists Sponsorship Program (2022),
the Qinghai High-Level Innovation & Entrepreneurship Leading Talent (2024),
and the First Prize of the China Electronics Institute Science & Technology Award (2019).
热门
The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions
Parental involvement in homework is a crucial aspect of family education, but it often triggers emotional strain and conflicts. Despite growing concern over its impact on family …
Computing with Smart Rings: A Systematic Literature Review
首个围绕智能指环文献的系统性综述，涵盖交互、健康监测及未来研究方向。
DreamCatcher: a wearer-aware sleep event dataset based on earables in non-restrictive environments
首个居家场景下基于耳戴设备的用户主体睡眠异常感知方法和数据集。
MMTSA: Multi-Modal Temporal Segment Attention Network for Efficient Human Activity Recognition
Efficient multimodal HAR using camera and IMU. Achieves 11% F1-score improvement with lower latency on edge devices.
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images
低分辨率摄像头在隐私保护与活动识别性能之间形成关键权衡，为构建可控、可量化的隐私保护视觉系统提供建模基础。
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing
首个基于双摄像头的移动端个性化 rPPG 系统，采用自监督学习框架，无需金标准生理信号标注数据。
An example journal article
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