Shu Wu is currently a Full Professor and Ph.D. Supervisor at the State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), China. He is also affiliated with the University of Chinese Academy of Sciences (UCAS). He received his Ph.D. degree in Computer Science from the University of Sherbrooke (UdeS), Canada, in 2012, under the supervision of Prof. Shengrui Wang. He joined CASIA in the same year.

He is a Senior Member of both IEEE and ACM, and a Distinguished Member of the China Computer Federation (CCF). He has served as an Associate Editor for ACM Transactions on Recommender Systems (ACM TORS) since 2024.

His research interests mainly include Recommendation Systems, Data Mining, and Network Data Understanding. His work has been published in top-tier conferences and journals, such as ACM TIST, IEEE TKDE, AAAI, IJCAI, SIGIR, WWW, CIKM, ICDM, WSDM, EMNLP, and ACL.

He was recognized as one of the Most Influential AI Scholars by AI2000 (2022) in the field of Information Retrieval and Recommendation, and ranked among the Top 2% of Scientists Worldwide by Stanford University. He has received several awards, including the First Prize of Beijing Natural Science Award.