Self-Supervised Learning for Recommender Systems: A Survey - Junliang Yu; Hongzhi Yin; Xin Xia; Tong Chen; Jundong Li; Zi Huang (IEEE Trans. Knowl. Data Eng., 2024)

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation - Junliang Yu; Xin Xia; Tong Chen; Lizhen Cui; Nguyen Quoc Viet Hung; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2024)

On-Device Recommender Systems: A Comprehensive Survey - Hongzhi Yin; Liang Qu; Tong Chen; Wei Yuan; Ruiqi Zheng; Jing Long; Xin Xia; Yuhui Shi; Chengqi Zhang (CoRR, 2024)

Efficient On-Device Session-Based Recommendation - Xin Xia; Junliang Yu; Qinyong Wang; Chaoqun Yang; Nguyen Quoc Viet Hung; Hongzhi Yin (ACM Trans. Inf. Syst., 2023)

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation - Xin Xia; Junliang Yu; Guandong Xu; Hongzhi Yin (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation - Xin Xia; Junliang Yu; Guandong Xu; Hongzhi Yin (CoRR, 2023)

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation - Xin Xia; Hongzhi Yin; Junliang Yu; Qinyong Wang; Guandong Xu; Quoc Viet Hung Nguyen (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation - Junliang Yu; Hongzhi Yin; Xin Xia; Tong Chen; Lizhen Cui; Quoc Viet Hung Nguyen (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

Self-Supervised Learning for Recommender Systems: A Survey - Junliang Yu; Hongzhi Yin; Xin Xia; Tong Chen; Jundong Li; Zi Huang (CoRR, 2022)

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation - Xin Xia; Hongzhi Yin; Junliang Yu; Qinyong Wang; Guandong Xu; Nguyen Quoc Viet Hung (CoRR, 2022)

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation - Junliang Yu; Xin Xia; Tong Chen; Lizhen Cui; Nguyen Quoc Viet Hung; Hongzhi Yin (CoRR, 2022)

Efficient On-Device Session-Based Recommendation - Xin Xia; Junliang Yu; Qinyong Wang; Chaoqun Yang; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2022)

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation - Xin Xia; Hongzhi Yin; Junliang Yu; Qinyong Wang; Lizhen Cui; Xiangliang Zhang (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Self-Supervised Graph Co-Training for Session-based Recommendation - Xin Xia; Hongzhi Yin; Junliang Yu; Yingxia Shao; Lizhen Cui (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Socially-Aware Self-Supervised Tri-Training for Recommendation - Junliang Yu; Hongzhi Yin; Min Gao; Xin Xia; Xiangliang Zhang; Nguyen Quoc Viet Hung (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

Socially-Aware Self-Supervised Tri-Training for Recommendation - Junliang Yu; Hongzhi Yin; Min Gao; Xin Xia; Xiangliang Zhang; Nguyen Quoc Viet Hung (CoRR, 2021)

Self-Supervised Graph Co-Training for Session-based Recommendation - Xin Xia; Hongzhi Yin; Junliang Yu; Yingxia Shao; Lizhen Cui (CoRR, 2021)

Graph Augmentation-Free Contrastive Learning for Recommendation - Junliang Yu; Hongzhi Yin; Xin Xia; Lizhen Cui; Quoc Viet Hung Nguyen (CoRR, 2021)

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation - Xin Xia; Hongzhi Yin; Junliang Yu; Qinyong Wang; Lizhen Cui; Xiangliang Zhang (CoRR, 2020)