Xiangyu Zhao's current research interests include data mining and machine learning, especially
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Personalization, Recommender System, Online Advertising, Search Engine, and Information Retrieval
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Urban Computing, Smart City, GeoAI, Spatio-Temporal Data Analysis, and Location-Based Social Networks
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Deep Reinforcement Learning, Automated Machine Learning, Graph Learning, Trustworthy AI, and Multimodal
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AI for Social Computing, Finance, Education, Ecosystem, and Healthcare
His homepage and [CV].
Openings：
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I have PhD positions at CityU (Spring/Fall), and Joint-PhD (双一流A类+国科大+南科大)
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Postdoc, Self-financed PhD, Part-time PhD, RA and Visiting positions are open year round
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Please click HERE for more details (CityU is ranked #53 in QS World University Rankings 2022)
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.
He serves as top data science conference (senior) program committee members, 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, 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.
Last update date :
05 Jul 2023
