Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “IOTSC Talk Series” on 19/05/2026 (Tuesday). We are pleased to invite Prof. Hang LIU from IOTSC as the speaker.

Solving Matching Problems via Graph Signal Processing
Speaker: Prof. Hang LIU
Date: 19/05/2026 (Tuesday)
Time: 15:00 – 16:00
Language: English
Venue: N21-6007

Abstract:
Matching of structured data is one of the core tasks in data mining and pattern recognition, with applications ranging from social identity linkage to cross-species comparison of biological networks. Classical methods formulate this problem as the recovery of node correspondences across graphs and assume access to graph topologies, which is an assumption that is often costly or infeasible at scale. This talk presents our recent advances in blind matching of graphical data directly from node features, without requiring the underlying topology. We model observations as graph signals produced by graph filters driven by excitations, and develop a spectral method that aligns signals through their eigenspaces to recover correspondences. We present theoretical analysis that characterizes matching accuracy as a function of signal quality and graph connectivity.

Speaker’s Bio:
Hang Liu is an Assistant Professor with the State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering at University of Macau. Prior to that, he received both his B.Sc. and Ph.D. degrees from The Chinese University of Hong Kong and worked as a Postdoctoral Associate at Cornell University. His research interests center on statistical signal processing and machine learning for wireless communications and cyber-physical systems. He has published over 30 papers in leading IEEE journals and conferences, with two journal papers listed as ESI Highly Cited Papers.

All are Welcome!

For enquiries: Tel: 8822 9976
Email: kennyfu@um.edu.mo

Best Regards,
State Key Laboratory of Internet of Things for Smart City