Xin Xia

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Item Recommendation

Contextual Bandit

Recommender Systems

Unlabelled Data

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
On-Device Recommender Systems: A Comprehensive Survey. CoRR (2024)
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR (2023)
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. 41 (4) (2023)
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM (2023)
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
Efficient On-Device Session-Based Recommendation. CoRR (2022)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR (2022)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR (2022)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. CoRR (2022)
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR (2022)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR (2022)
Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen
Graph Augmentation-Free Contrastive Learning for Recommendation. CoRR (2021)
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
Socially-Aware Self-Supervised Tri-Training for Recommendation. CoRR (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR (2021)
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR (2020)