Yang Yang

Yang Yang is a professor in the Department of Computer Science and Technology at Zhejiang University. His research interests focus on artificial intelligence within the context of large-scale graph and time series data. He has received an NSFC grant for an Excellent Young Scholar and serves as a scientific advisor at FinVolution Group. Yang obtained his Ph.D. from Tsinghua University in 2016 and has visited Cornell University and the University of Leuven. His work includes recent publications in top conferences such as ICLR, WWW, and KDD. He is also the head of the Artificial Intelligence department at Zhejiang University.

Yang Yang is a researcher at Zhejiang University with expertise in artificial intelligence, data mining, and social networks. Their work focuses on advancing graph neural networks, relation classification, and social media analysis. Yang has published extensively on dynamic network embedding, graph reasoning, and anomaly detection in financial datasets. They have also explored the integration of large language models with graph structures and developed frameworks for fair representation learning. Research highlights include the development of DGraph, a financial graph anomaly detection dataset, and Graphllm, which enhances the reasoning capabilities of large language models. Their contributions span both theoretical and applied aspects of AI and data mining.