Xie ZHANG (张勰) is a Postdoctoral Fellow in the CS Department at the University of Hong Kong (HKU), where he earned his Ph.D. in Computer Science, and the Chief Scientist of SenseAI Tech. He is a member of the HKU AIOT Lab, directed by Prof. Chenshu Wu. He received his M.S. in Pattern Recognition and Intelligent Systems, with a research focus on Wi-Fi sensing, and his B.Eng. in Software Engineering, both from Sun Yat-sen University.

My research focuses on Spatial Sensing Intelligence—enabling intelligent systems to perceive, reconstruct, and understand the spatial structure and dynamics of the physical world from diverse sensing signals. I develop sensing systems and computational models that transform sparse, noisy physical signals into meaningful spatial representations, bridging physical sensing and machine intelligence. My research aims to advance spatial intelligence for real-world applications, including smart environments, ubiquitous interaction, and non-intrusive health monitoring.

Research Directions

Physics-Grounded Learning: Methodological Foundation

Integrating physical sensing principles, signal propagation models, geometric constraints, and structural priors into learning architectures to improve interpretability, physical consistency, robustness, and generalizability for spatial perception and reconstruction.