Bio

Hi there! This is Yueqing Liang (梁月清), you can call me Luna as well. I am currently a first-year Ph.D. student in the Department of Computer Science at Illinois Institute of Technology (IIT) since Spring 2022, advised by Prof. Kai Shu. Before joining IIT, I received my M.S. in Big Data in Business from the University of Sydney (USYD) in 2020, and my B.E. in Telecommunications Engineering with Management from Queen Mary University of London (QMUL) in 2018.

My research interests are in the broad areas of machine learning and data mining, including several related topics like fairness, recommender system, and transfer learning.

News

  • [08/2022] Be invited to serve as an external reviewer for WSDM 2022.
  • [07/2022] Be invited to serve as a co-reviewer for ICDM 2022.
  • [07/2022] Be invited to serve as a subreviewer for SBP-BRiMS 2022.
  • [06/2022] Be invited to serve as a subreviewer for DisCoML 2022.
  • [06/2022] Be invited to serve as a subreviewer for CIKM 2022.
  • [04/2022] Be invited to serve as a subreviewer for TKDE.
  • [03/2022] Be invited to serve as a subreviewer for SIGIR 2022.
  • [02/2022] Be invited to serve as a subreviewer for TCSS.
  • [02/2022] Be invited to serve as an external reviewer for KDD 2022.
  • [01/2022] Be invited to serve as a subreviewer for SDM 2022.
  • [01/2022] Be invited to serve as a subreviewer for Knowledge-Based Systems.
  • [12/2021] Be invited to serve as a subreviewer for Information & Management.
  • Publications

    2022

    2021

    • Pre-training Graph Neural Network for Cross Domain Recommendation.
      Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu.
      IEEE CogMI. 2021.
      [Paper]