Xin Xia

According to our database, Xin Xia authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising.

Sijia Li, Min Gao, Zongwei Wang, Zhiyi Liu, Xin Xia, Yi Zhang

CoRR, April, 2026

Multi-LLM Token Filtering and Routing for Sequential Recommendation.

Wuhan Chen, Min Gao, Xin Xia, Zongwei Wang, Wentao Li, Shane Culpepper

CoRR, April, 2026

On-Device Large Language Models for Sequential Recommendation.

Xin Xia, Hongzhi Yin, Shane Culpepper

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

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

Data Sci. Eng., December, 2025

Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation.

Wuhan Chen, Zongwei Wang, Min Gao, Xin Xia, Feng Jiang, Junhao Wen

CoRR, February, 2025

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., February, 2024

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., January, 2024

2023

Efficient On-Device Session-Based Recommendation.

Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin

ACM Trans. Inf. Syst., October, 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, 2023

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

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.

Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.

Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Graph Augmentation-Free Contrastive Learning for Recommendation.

Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen

CoRR, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.

Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui

CoRR, 2021

Socially-Aware Self-Supervised Tri-Training for Recommendation.

Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.

Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.

Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021