Fu Xiao

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Fu Xiao is a leading researcher in the Internet of Things (IoT) and cyber-physical systems, with a core focus on high-precision radio frequency identification (RFID) localization. His work addresses a critical challenge: achieving centimeter-level accuracy in object tracking without expensive, specialized hardware. In his highly cited 2018 paper, "Trio," Xiao pioneered the use of intentional tag interference to solve "refined localization," enabling precise positioning on surfaces like tables—a breakthrough for industrial automation and smart environments. Building on this, his 2019 work "RF-MVO" (cited 36 times) fused passive RFID with computer vision, using a monocular camera to overcome the instability of antenna trajectories on drones or robots. This multi-modal approach dramatically improves stationary object localization in dynamic settings. With over 80 combined citations from these two flagship papers alone, Xiao’s research is shaping the future of pervasive sensing, demonstrating that robust, low-cost localization is achievable by creatively combining commodity hardware with novel algorithms. His work is essential reading for anyone interested in the intersection of wireless sensing, embedded systems, and computer vision.