Dr. Mu-Jiang-Shan Wang is an Assistant Professor at the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). He holds a PhD in Computer Science from the University of Newcastle, Australia, where his research focused on Graph Theory and its applications to combinatorial optimization problems. Prior to his current role, Dr. Wang completed a postdoctoral fellowship at Tsinghua University's School of Software, where he further developed his expertise in Graph Neural Networks (GNNs) and their applications to complex network problems. Dr. Wang is a recognized expert in graph theory, combinatorics, and artificial intelligence (AI). His research interests span a range of topics, including combinatorial optimization, GNNs, and their applications to fields such as computational biology, social network analysis, and system-level diagnosis. He has published over 30 peer-reviewed papers in top-tier international journals and conferences, with a focus on the intersection of GNNs and classical graph theory problems such as maximum matching, fault diagnosis, and graph connectivity.