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, who works with A/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 A/Prof. Hongzhi Yin and Master and Bachelor degrees at Chongqing University under the supervision of Prof. Min Gao.

Research Interests

Academic Services



News

Aug 5, 2023 Two co-authored papers on on-device model update and imbalanced heterogeneity are accepted by CIKM’23.
Jun 19, 2023 One paper on contrastive recommendation is accepted by TKDE [link].
Jun 16, 2023 My PhD degree is conferred today.
Jun 2, 2023 Our survey on self-supervised recommendation is accepted by TKDE [link].
May 17, 2023 One co-authored paper on recommendation denoising is accepted by KDD’23.

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 proposed model is 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
  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