Publications

2024

  1. ICDE
    Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
    Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, and 3 more authors
    IEEE International Conference on Data Engineering, 2024
  2. WSDM
    Motif-based Prompt Learning for Universal Cross-domain Recommendation
    Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, and 1 more author
    The 17th ACM International Conference Web Search and Data Mining, 2024

2023

  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. DASFAA
    Tutorial: Self-Supervised Learning for Recommendation: Foundations, Methods and Prospects
    Junliang Yu, Tong Chen, and Hongzhi Yin
    Proceedings of the 28th International Conference on Database Systems for Advanced Applications, 2023
  3. CIKM
    Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation
    Xin Xia, Junliang Yu, Guandong Xu, and Hongzhi Yin
    Proceedings of the 32nd ACM international conference on information and knowledge management, 2023
  4. CIKM
    Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
    Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, and 2 more authors
    Proceedings of the 32nd ACM international conference on information and knowledge management, 2023
  5. KDD
    Efficient Bi-Level Optimization for Recommendation Denoising
    Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, and 2 more authors
    Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2023

2022

  1. 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.

  2. 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
  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. TOIS
    Efficient on-device session-based recommendation
    Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, and 2 more authors
    ACM Transactions on Information Systems (TOIS), 2022
  5. SIGIR
    On-device next-item recommendation with self-supervised knowledge distillation
    Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, and 2 more authors
    Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
  6. VLDBJ
    Fast-adapting and privacy-preserving federated recommender system
    Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, and 2 more authors
    The VLDB Journal, 2022

2021

  1. 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
  2. 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
  3. AAAI
    Self-supervised hypergraph convolutional networks for session-based recommendation
    Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, and 2 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, Yingxia Shao, and 1 more author
    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, Lei Guo, and 2 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, Min Gao, and 2 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, Jundong Li, and 2 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, Hongzhi Yin, and 1 more author
    Proceedings of the 27th ACM international conference on information and knowledge management, 2018