Xiaolu Zeng

Papers

Total Citations

H-Index

About

Xiaolu Zeng is an emerging researcher specializing in wireless sensing, indoor intelligent perception, and edge computing, with a particular focus on leveraging WiFi signals for human activity recognition. Zeng's work addresses a critical and often overlooked challenge in smart indoor environments: the ability to distinguish human motion from non-human movement sources such as pets, robots, and household appliances — a problem that significantly undermines the reliability of existing perception systems. Their most notable contributions include the development of Wi-MoID (2023), a system that uses WiFi channel state information combined with edge computing to accurately discriminate between human and non-human motion, garnering 12 citations. This was preceded by foundational work presented in "Who Moved My Cheese?" (2022), which laid conceptual groundwork for the same discrimination challenge and has accumulated 7 citations. Together, these works represent a cohesive and innovative research agenda that pushes the boundaries of passive WiFi-based sensing systems toward real-world practicality. Zeng's research holds strong implications for smart home automation, security monitoring, and ambient assisted living, making their contributions particularly relevant for researchers and engineers advancing the next generation of contactless indoor sensing technologies.