Fusang Zhang

Chinese Academy of Sciences, Institute of Software

Papers

Total Citations

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About

Fusang Zhang is a leading researcher in mobile sensing and ubiquitous computing, whose work is redefining how we interact with and perceive indoor environments. His primary research areas span wireless sensing, radar-based perception, and human-computer interaction, with a particular focus on making advanced sensing technologies accessible and robust. Zhang’s major contributions include pioneering the use of ultra-wideband radar and acoustic signals for contact-free sensing. In his highly cited 2021 paper, "Constructing Floor Plan through Smoke Using Ultra Wideband Radar" (29 citations), he introduced a novel method for generating floor plans in low-visibility conditions, bypassing the need for expensive Lidar or depth cameras. He further advanced the field with "Enabling Contact-free Acoustic Sensing under Device Motion" (15 citations), which solved the critical challenge of maintaining sensing accuracy when devices are in motion. His recent work, "LoCal" (8 citations), tackles the fundamental problem of transforming millimeter-wave radar estimates from radar coordinates to room coordinates, a key step for practical deployment. Through these innovations, Zhang has demonstrated a remarkable ability to lower the barrier to entry for sophisticated sensing, enabling applications from emergency rescue to health monitoring.