Xiangyu Zhao is a tenure-track assistant professor of Data Science at City University of Hong Kong (CityU). Prior to CityU, he completed his Ph.D. under the advisory of Prof. Jiliang Tang at MSU, his M.S. under the advisory of Prof. Enhong Chen at USTC, and his B.Eng. under the advisory of Prof. Ming Tang and Prof. Tao Zhou at UESTC.
His current research interests include data mining and machine learning, especially
His research has been awarded ICDM'21 Best-ranked Papers, Global Top 100 Chinese New Stars in AI, CCF-Tencent Open Fund, Criteo Faculty Research Award, Bytedance Research Collaboration Award, MSU Dissertation Fellowship, and nomination for Joint AAAI/ACM SIGAI Doctoral Dissertation Award (one per institution). He serves as top data science conference (senior) program committee members, session chairs and journal reviewers. He serves as the organizers of DRL4KDD and DRL4IR workshops at KDD'19, WWW'21 and SIGIR'20/21/22, and a lead tutor at WWW'21/22 and IJCAI'21. He also serves as the founding academic committee member of MLNLP, the largest AI community in China with 800,000 members/followers. The models and algorithms from his research have been launched in the online system of many companies, such as Amazon, Google, Facebook, Linkedin, Criteo, Lyft, JD.com, Kuaishou, Tencent, and Bytedance.Openings：