Xin Xia

23 papers A* 4A 3Journal 16
YearRankTypeTitle / Venue / Authors
2026 A conf
On-Device Large Language Models for Sequential Recommendation.
WSDM
Xin Xia, Hongzhi Yin, Shane Culpepper
2026 J jnl
On-Device Large Language Models for Sequential Recommendation.
CoRR
Xin Xia, Hongzhi Yin, Shane Culpepper
2025 J jnl
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation.
CoRR
Wuhan Chen, Zongwei Wang, Min Gao, Xin Xia, Feng Jiang, Junhao Wen
2025 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
Data Sci. Eng.
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
CoRR
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2024 J jnl
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 J jnl
Efficient On-Device Session-Based Recommendation.
ACM Trans. Inf. Syst.
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 A conf
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
CIKM
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023 J jnl
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
CoRR
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2022 A* conf
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
SIGIR
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
2022 J jnl
Efficient On-Device Session-Based Recommendation.
CoRR
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2022 A* conf
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
SIGIR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
2022 J jnl
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
CoRR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
2022 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
CoRR
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2022 J jnl
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
CoRR
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2021 J jnl
Graph Augmentation-Free Contrastive Learning for Recommendation.
CoRR
Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen
2021 A conf
Self-Supervised Graph Co-Training for Session-based Recommendation.
CIKM
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021 J jnl
Self-Supervised Graph Co-Training for Session-based Recommendation.
CoRR
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021 A* conf
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
AAAI
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2021 A* conf
Socially-Aware Self-Supervised Tri-Training for Recommendation.
KDD
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021 J jnl
Socially-Aware Self-Supervised Tri-Training for Recommendation.
CoRR
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2020 J jnl
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
CoRR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang