Dr. Yijun Su is now a AI Researcher and Data Scientist at JD. He obtained his Ph.D. Degree in Artificial Intelligence from University of Chinese Academy of Sciences (UCAS), under the supervision of Prof. Ji Xiang in 2020. During his Ph.D., he mainly researched Technologies of Point-of-Interest Recommendation on Location-based Social Network. His current research interests span Spatio-Temporal AI (Spatio-Temporal Recommendation and Spatio-Temporal Data Mining), Federated Learning (Federated Recommendation and Spatio-Temporal Federated Learning), and Graph Machine Learning (Graph Neural Network and Knowledge Graphs). He serves as the invited reviewer for conferences including WWW, KDD, AAAI, IJCAI, SDM, etc., and for journals including WWWJ, TCYB, TIST, etc.

If you’d like to know more about my work or explore opportunities for collaboration, please get in touch!