Junliang YU

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Email: jl dot yu at uq.edu.au

Hello, this is Junliang Yu (余俊良). I am a final-year PhD student in Data Science at The University of Queensland, who is jointly supervised by A/Prof. Hongzhi Yin and Prof. Zi (Helen) Huang. Prior to starting my PhD in 2019, I completed my Bachelor and Master degrees at Chongqing University.

Research Interests

Academic Services



News

Sep 28, 2022 We have released a preprint on efficient on-device recommendation [link].
Sep 14, 2022 Invited to give a talk at the CIRES PhD School [link].
Sep 6, 2022 We have released a preprint on contrastive learning-based recommendation [link].
Mar 31, 2022 Two papers on contrastive learning and on-device recommendation are accepted by SIGIR’22.

Selected Publications

  1. SIGIR
    Are graph augmentations necessary? simple graph contrastive learning for recommendation
    Junliang Yu, Hongzhi Yin, Xin Xia, and 3 more authors
    Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2022
  2. preprint
    Self-supervised learning for recommender systems: A survey
    Junliang Yu, Hongzhi Yin, Xin Xia, and 3 more authors
    arXiv preprint arXiv:2203.15876, Submitted to TKDE 2022
  3. KDD
    Socially-aware self-supervised tri-training for recommendation
    Junliang Yu, Hongzhi Yin, Min Gao, and 3 more authors
    Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021
  4. WWW
    Self-supervised multi-channel hypergraph convolutional network for social recommendation
    Junliang Yu, Hongzhi Yin, Jundong Li, and 3 more authors
    Proceedings of the Web Conference 2021
  5. CIKM
    Adaptive implicit friends identification over heterogeneous network for social recommendation
    Junliang Yu, Min Gao, Jundong Li, and 2 more authors
    Proceedings of the 27th ACM international conference on information and knowledge management 2018