Xiangyu Zhao   赵翔宇

              Assistant Professor


               Applied Machine Learning Lab
               School of Data Science
               City University of Hong Kong (CityU)

Email: xy.zhao [at] cityu.edu.hk [contact me]
Mail: Lau Ming Wai Academic Building, City University of Hong Kong, Kowloon Tong, Hong Kong 999077
Links: [LinkedIn]     [Publications]    [Google Scholar]     [Services]    [Grants&Awards]    [Teach&Talk]    [Experiences]

Brief Biography

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 DSE Lab of MSU, his M.S. under the advisory of Prof. Enhong Chen at BDAA Lab of USTC, and his B.Eng. under the advisory of Prof. Ming Tang and Prof. Tao Zhou at BigData Center of UESTC.

His current research interests include data mining and machine learning, especially

  • Personalization, Recommender System, Online Advertising, Search Engine, and Information Retrieval
  • Urban Computing, Smart City, GeoAI, Spatio-Temporal Data Analysis, and Location-Based Social Networks
  • Deep Reinforcement Learning, Automated Machine Learning, Graph Learning, Trustworthy AI, and Multimodal
  • AI + X: Education, Healthcare, Carbon Neutral, Social Computing, E-commerce, Finance, and Ecosystem
  • His research has been awarded ICDM'22 and ICDM'21 Best-ranked Papers, Global Top 100 Chinese New Stars in AI, CCF-Ant Research Fund, CCF-Tencent Open Fund, Criteo Faculty Research Award, Bytedance Research Collaboration Program, 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 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 Chinese AI community with millions of 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:
    • I have PhD positions at CityU, and Joint-PhD (双一流A类+国科大) in 23Fall and 24Spring
    • Postdoc, Self-financed PhD, Part-time PhD, RA and Visiting positions are open year round
    • Please click HERE for more details (CityU is ranked around #50 in QS World University Rankings)
    Call for Paper:
    • Graph Learning for Recommendations @ Frontiers in Big Data [Website] (Jan 15, 2023)
    Advertisement of our Survey Papers:
    • Automated Machine Learning for Deep Recommender Systems: A Survey [link]
    • Multi-Task Deep Recommender Systems: A Survey [link]
    • Multimodal Recommender Systems: A Survey [link]
    • A Comprehensive Survey on Trustworthy Recommender Systems [link]
    • Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey [link]
    • Crime in Urban Areas: A Data Mining Perspective [link]

    News

    • 03/2023: An invited talk at CSE, CUHK
    • 03/2023: I will serve as the PC Member of RecSys'23
    • 03/2023: I will serve as the PC Member of ICDM'23
    • 03/2023: I will serve as the PC Member of IEEE BigData'23
    • 03/2023: An invited talk at BigsCity, BUAA
    • 02/2023: Our new survey Multi-Task Deep Recommender Systems: A Survey is online
    • 02/2023: Our new survey Multimodal Recommender Systems: A Survey is online
    • 01/2023: We will co-organize the DLP workshop @ KDD'23
    • 12/2022: I will serve as the PC Member of KDD'23 (Both tracks)
    • 12/2022: I am honored to receive the CCF-Ant Research Fund (CCF-蚂蚁科研基金)
    • 12/2022: I will serve as the Senior PC Member of SIGIR'23
    • 12/2022: I will serve as the Senior PC Member of IJCAI'23
    • 12/2022: I will serve as the PC Member of ICML'23
    • 12/2022: We will provide a tutorial of AutoML for Deep Recommender Systems @ WSDM'23
    • 12/2022: We will provide a tutorial of Trustworthy Recommender Systems @ WWW'23
    • 12/2022: Our team won the Outstanding Project (8/34) in CCF-Tencent Open Fund 2021
    • 11/2022: Our ICDM'22 paper AutoAssign was selected as one of the best-ranked papers
    • 10/2022: I am honored to join the Distinguished Review Board for ACM Transactions on the Web
    • 09/2022: I will serve as the Senior PC Member of WWW'23
    • 09/2022: I am honored to receive one Early Career Research Grant from HKIDS with Dr.Zijun Zhang
    • 08/2022: Our team won the Gold Medal and Top 10 best innovation award in the 7th International Invention Innovation Competition in Canada (iCAN 2022), co-supervised with Dr. Liang Dong
    • 08/2022: A keynote talk at DLP workshop @ KDD'22
    • 07/2022: I will serve as the Senior PC Member of AAAI'23
    • 07/2022: I will serve as the PC Member of ICLR'23
    • 07/2022: I co-host the 3rd Workshop on Deep Reinforcement Learning for Information Retrieval @ SIGIR'22
    • 06/2022: I will serve as the PC Member of ICDM'22
    • 05/2022: Our team won the Gold Award with Grand Prize (US$13,000) and the Microsoft Outstanding AI Influencer Award in the Global AI Challenge for Building E&M Facilities, co-supervised with Prof. S Joe QIN
    • 05/2022: Our team ranked the 3rd place in Carbon Neutral Competition track of the 3rd Shandong Data Competition, co-supervised with Prof. S Joe QIN
    • 05/2022: I am honored to receive two SIRG grants with Dr.Liang Dong and Dr.Junming Liu at CityU
    • 04/2022: We provide tutorial Automated Machine Learning for Recommendations @ WWW'22
    • 04/2022: I will serve as the PC Member of CIKM'22
    • 04/2022: I will serve as the PC Member of ECML-PKDD'22
    • 04/2022: I will serve as the PC Member of IEEE BigData'22
    • 04/2022: I will serve as the PC Member of NeurIPS'22
    • 03/2022: I will serve as the PC Member of RecSys'22
    • 03/2022: 1 workshop proposal got accepted by SIGIR'22
    • 01/2022: I will serve as the PC Member of SIGIR'22
             [2021]
             [2020]
    • 12/2020: 1 tutorial got accepted by WWW'21
    • 12/2020: I will serve as the Senior PC Member of IJCAI'21
    • 12/2020: Awarded MSU Dissertation Completion Fellowship
    • 12/2020: 1 paper got accepted by AAAI'21
    • 11/2020: Passed my comprehensive exam!
    • 11/2020: I will serve as the PC Member of KDD'21
    • 11/2020: 1 workshop proposal got accepted by WWW'21
    • 11/2020: I will serve as the PC Member of ECIR'21
    • 11/2020: I will serve as the Session Chair of ICONIP'20
    • 10/2020: 1 paper got accepted by WSDM'21
    • 10/2020: 1 paper got accepted by ICDE'21
    • 09/2020: I will serve as the PC Member of IJCAI'21
    • 09/2020: Received the CIKM'20 Student Travel Award
    • 08/2020: I will serve as the PC Member of AAAI'21
    • 08/2020: Received the KDD'20 Student Travel Award and will serve as volunteer
    • 07/2020: 1 paper got accepted by CIKM'20
    • 07/2020: I will serve as the PC Member of ICLR'21
    • 06/2020: I will serve as the PC Member of CIKM'20
    • 06/2020: I will serve as the PC Member of ICONIP'20
    • 05/2020: 1 paper got accepted by KDD'20
    • 05/2020: 2 papers got accepted by SIGIR'20
    • 05/2020: I was invited to present our RL-based E-commerce papers at INFORMS'20 Annual Meeting
    • 05/2020: I will serve as the PC Member of IEEE BigData'20
    • 04/2020: I will serve as the PC Member of IRS@KDD'20
    • 03/2020: I will co-host the Workshop on Deep Reinforcement Learning for Information Retrieval @ SIGIR'20
    • 03/2020: 1 workshop proposal got accepted by SIGIR'20
             [2019]
    • 12/2019: I will serve as the PC Member of AI4EDU'20
    • 12/2019: I will serve as the PC Member of IJCAI'20
    • 11/2019: I was invited to present our RL-based E-commerce papers at East China Normal University
    • 08/2019: I will serve as the PC Member of ICLR'20
    • 08/2019: I was invited to present our RL-based E-commerce papers at Shandong University
    • 07/2019: I will serve as the PC Member of AAAI'20
    • 07/2019: I was invited to present our RL-based E-commerce papers at Beijing University Of Chemical Technology
    • 07/2019: I was invited to present our RL-based E-commerce papers at TAL(好未来)
    • 06/2019: Received the KDD'19 Student Travel Award and will serve as volunteer
    • 06/2019: 1 paper got accepted by KDD'19 workshop
    • 05/2019: I will serve as the PC Member of RL4RealLife@ICML'19
    • 05/2019: I will serve as the PC Member of NLPCC'19
    • 04/2019: I will serve as the PC Member of IEEE BigData'19
    • 03/2019: I will host the Workshop on Deep Reinforcement Learning for Knowledge Discovery @ KDD'19
    • 03/2019: 1 Workshop proposal got accepted by KDD'19
    • 02/2019: I will serve as the PC Member of RecSys'19
    • 02/2019: 1 survey paper got accepted by ACM SIGWEB Newsletter
             [2018]
    • 11/2018: Received Outstanding Master's Thesis Award from Anhui Computer Federation
    • 11/2018: I was invited to present our RL-based recommender papers at Leiphone.com(雷锋网大课堂)
    • 10/2018: Dr.Dawei Yin was invited to present our RL-based recommender papers at CAS-AMSS(中科院数学所)
    • 10/2018: Dr.Jiliang Tang was invited to present our RL-based recommender papers at Criteo, Ann Arbor
    • 10/2018: Dr.Dawei Yin was invited to present our RL-based recommender papers at Tsinghua University
    • 09/2018: Dr.Long Xia was invited to present our RL-based recommender papers at CAS-ICT(中科院计算所)
    • 08/2018: I was invited to present our RL-based recommender papers at Gifshow(快手)
    • 08/2018: Dr.Jiliang Tang was invited to present our RL-based recommender papers at Bytedance(今日头条)
    • 07/2018: Our RL-based recommender project received the Criteo Faculty Research Award
    • 07/2018: Received the RecSys'18 Student Travel Award and will serve as volunteer
    • 07/2018: I will serve as the PC Member of IEEE BigData'18
    • 07/2018: 1 paper got accepted by RecSys'18
    • 06/2018: Received the KDD'18 Student Travel Award and will serve as volunteer
    • 05/2018: 1 paper got accepted by KDD'18
    • 04/2018: 1 survey paper got accepted by ACM SIGKDD Explorations Newsletter
    • 02/2018: Received the SDM'18 Student Travel Award and will participate in the Doctoral Forum
             [2017]
    • 09/2017: Received the CIKM'17 Student Travel Award
    • 09/2017: 1 paper got accepted by ICDM'17 PhD Forum
    • 08/2017: 1 paper got accepted by ICDM'17
    • 08/2017: 1 paper got accepted by CIKM'17
    • 01/2017: Joined MSU as a Ph.D. student of computer science