Xubin Ren

According to our database, Xubin Ren authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

EasyRec: Simple yet Effective Language Models for Recommendation.

Xubin Ren, Chao Huang

CoRR, 2024

A Comprehensive Survey on Self-Supervised Learning for Recommendation.

Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang

CoRR, 2024

Representation Learning with Large Language Models for Recommendation.

Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang

Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Graphs: Progresses and Directions.

Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation.

Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SSLRec: A Self-Supervised Learning Framework for Recommendation.

Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

A Survey of Large Language Models for Graphs.

Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

XRec: Large Language Models for Explainable Recommendation.

Qiyao Ma, Xubin Ren, Chao Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation.

Jing Yi, Xubin Ren, Zhenzhong Chen

ACM Trans. Inf. Syst., October, 2023

SSLRec: A Self-Supervised Learning Library for Recommendation.

Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang

CoRR, 2023

Disentangled Contrastive Collaborative Filtering.

Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Transformer for Recommendation.

Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation.

Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren

Proceedings of the Eleventh International Conference on Learning Representations, 2023

How Expressive are Graph Neural Networks in Recommendation?

Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention.

Yaochen Zhu, Xubin Ren, Jing Yi, Zhenzhong Chen

CoRR, 2022