Wenbing Huang

Wenbing Huang is now a tenure-track associate professor at Gaoling School of Artificial Intelligence (GSAI), Renmin University of China. Before joining GSAI, he worked as an assistant researcher at AIR, Tsinghua University, and senior researcher at Tencent AI Lab. His research focuses on the representation, generation, and prediction of complex systems driven by geometric deep learning. He has proposed a series of geometric deep learning approaches, with graph neural networks as representatives, effectively realizing the representation and generation of atomistic systems such as chemical molecules, proteins, antibodies, crystals, and the representation and behavior learning of complex systems like embodied intelligent agents, physical environments, and social networks. His achievements have been applied in areas such as AI for Science, physical simulation and decision-making, and social network analysis.