Junliang YU

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Email: jl dot yu at uq.edu.au

Hello, this is Junliang Yu (余俊良 in Chinese). I am currently a postdoctoral research fellow in Data Science at The University of Queensland, working with Prof. Hongzhi Yin and Prof. Shazia Sadiq. Prior to starting my postdoc in 2023, I completed my PhD degree at The University of Queensland under the supervision of Prof. Hongzhi Yin. Before that, I earned my M.Sc. and B.E. degrees at Chongqing University, supervised by Prof. Min Gao. I am dedicated to conducting influential and reproducible research. To date, I have six papers recognized as either the most influential or as ESI highly cited papers.

Research Interests

Academic Services



News

Feb 17, 2024 I have received the 2023 UQ Dean’s Award for Outstanding Higher Degree by Research Theses (link).
Jan 23, 2024 We have a paper on prompt learning and cross-domain recommendation accepted by WWW.
Jan 23, 2024 We have released a survey on Graph Condensation [link].
Jan 4, 2024 We have released a survey on poisoning attacks against recommender systems [link].
Oct 20, 2023 One co-authored papers on prompt learning for recommendation is accepted by WSDM’24.

Selected Publications

  1. TKDE
    XSimGCL: Towards extremely simple graph contrastive learning for recommendation
    Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, and 2 more authors
    IEEE Transactions on Knowledge and Data Engineering, 2023
  2. SIGIR
    Are graph augmentations necessary? simple graph contrastive learning for recommendation
    Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, and 2 more authors
    Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022

    *The most cited paper in SIGIR’22, applied in Tencent Music.

  3. TKDE
    Self-supervised learning for recommender systems: A survey
    Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, and 2 more authors
    IEEE Transactions on Knowledge and Data Engineering, 2022
  4. KDD
    Socially-aware self-supervised tri-training for recommendation
    Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, and 2 more authors
    Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
  5. WWW
    Self-supervised multi-channel hypergraph convolutional network for social recommendation
    Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, and 2 more authors
    Proceedings of the Web Conference, 2021

    *The 2nd most cited paper in WWW’21.

  6. CIKM
    Adaptive implicit friends identification over heterogeneous network for social recommendation
    Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, and 1 more author
    Proceedings of the 27th ACM international conference on information and knowledge management, 2018