Publications

2022

  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. SIGIR
    On-device next-item recommendation with self-supervised knowledge distillation
    Xin Xia, Hongzhi Yin, Junliang Yu, and 3 more authors
    Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2022
  3. WWW
    Tutorial: Self-supervised learning in recommendation: fundamentals and advances
    Junliang Yu, Tong Chen, and Hongzhi Yin
    Companion Proceedings of the Web Conference 2022
  4. VLDBJ
    Fast-adapting and privacy-preserving federated recommender system
    Qinyong Wang, Hongzhi Yin, Tong Chen, and 3 more authors
    The VLDB Journal 2022
  5. preprint
    Efficient on-device session-based recommendation
    Xin Xia, Junliang Yu, Qinyong Wang, and 3 more authors
    arXiv preprint arXiv:2209.02544, Submitted to TOIS 2022
  6. preprint
    XSimGCL: Towards extremely simple graph contrastive learning for recommendation
    Junliang Yu, Xin Xia, Tong Chen, and 3 more authors
    arXiv preprint arXiv:2209.02544, Submitted to TKDE 2022
  7. 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

2021

  1. 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
  2. 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
  3. AAAI
    Self-supervised hypergraph convolutional networks for session-based recommendation
    Xin Xia, Hongzhi Yin, Junliang Yu, and 3 more authors
    Proceedings of the AAAI conference on artificial intelligence 2021
  4. CIKM
    Self-supervised graph co-training for session-based recommendation
    Xin Xia, Hongzhi Yin, Junliang Yu, and 2 more authors
    Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021
  5. CIKM
    Double-scale self-supervised hypergraph learning for group recommendation
    Junwei Zhang, Min Gao, Junliang Yu, and 3 more authors
    Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021

2020

  1. TKDE
    Enhancing social recommendation with adversarial graph convolutional networks
    Junliang Yu, Hongzhi Yin, Jundong Li, and 3 more authors
    IEEE Transactions on Knowledge and Data Engineering 2020

2019

  1. ICDM
    Generating reliable friends via adversarial training to improve social recommendation
    Junliang Yu, Min Gao, Hongzhi Yin, and 3 more authors
    IEEE International Conference on Data Mining (ICDM) 2019

2018

  1. 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