Xiangyu Zhao's current research interests include data mining and machine learning, especially
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Information Retrieval, Personalization, Recommender System, Online Advertising, and Search Engine
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Urban Computing, Human Mobility Modeling, Spatio-Temporal Data Analysis, and Location-Based Social Networks
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Theoretical Reinforcement Learning, Automated Machine Learning (AutoML), and Multimodal
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AI for Social Computing, Finance, Education, Ecosystem, and Healthcare
His homepage and [CV].
He has several Postdoc, PhD, Joint PhD (双一流A类+国科大+南科大), Research Assistant and Visiting positions in 2022. Please check HERE for more details.
His research received ICDM'21 Best-ranked Papers, Global Top 100 Chinese New Stars in Artificial Intelligence, CCF-Tencent Open Fund, Criteo Research Award, Bytedance Research Award, and MSU Dissertation Fellowship.
He serves as top data science conference (senior) program committee members and session chairs (e.g., KDD, AAAI, IJCAI, ICML, ICLR, CIKM), and journal reviewers (e.g., TKDE, TKDD, TOIS, CSUR).
He serves as the organizers of DRL4KDD and DRL4IR workshops at KDD'19, SIGIR'20, WWW'21 and SIGIR'21, and a lead tutor at WWW'21 and IJCAI'21.
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.
Last update date :
15 Dec 2021
