Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention. - Yaochen Zhu; Xubin Ren; Jing Yi; Zhenzhong Chen (CoRR, 2022)

How Expressive are Graph Neural Networks in Recommendation? - Xuheng Cai; Lianghao Xia; Xubin Ren; Chao Huang 001 (CIKM, 2023)

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. - Xuheng Cai; Chao Huang 001; Lianghao Xia; Xubin Ren (ICLR, 2023)

Graph Transformer for Recommendation. - Chaoliu Li; Lianghao Xia; Xubin Ren; Yaowen Ye; Yong Xu 007; Chao Huang 001 (SIGIR, 2023)

Disentangled Contrastive Collaborative Filtering. - Xubin Ren; Lianghao Xia; Jiashu Zhao; Dawei Yin; Chao Huang 001 (SIGIR, 2023)

SSLRec: A Self-Supervised Learning Library for Recommendation. - Xubin Ren; Lianghao Xia; Yuhao Yang 002; Wei Wei 027; Tianle Wang 006; Xuheng Cai; Chao Huang 001 (CoRR, 2023)

Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. - Jing Yi; Xubin Ren; Zhenzhong Chen (ACM Trans. Inf. Syst., 2023)

XRec: Large Language Models for Explainable Recommendation. - Qiyao Ma; Xubin Ren; Chao Huang 001 (EMNLP (Findings), 2024)

A Survey of Large Language Models for Graphs. - Xubin Ren; Jiabin Tang; Dawei Yin; Nitesh V. Chawla; Chao Huang 001 (KDD, 2024)

SSLRec: A Self-Supervised Learning Framework for Recommendation. - Xubin Ren; Lianghao Xia; Yuhao Yang 002; Wei Wei 027; Tianle Wang 006; Xuheng Cai; Chao Huang 001 (WSDM, 2024)

LLMRec: Large Language Models with Graph Augmentation for Recommendation. - Wei Wei 027; Xubin Ren; Jiabin Tang; Qinyong Wang; Lixin Su; Suqi Cheng; Junfeng Wang 009; Dawei Yin; Chao Huang 001 (WSDM, 2024)

Large Language Models for Graphs: Progresses and Directions. - Chao Huang 001; Xubin Ren; Jiabin Tang; Dawei Yin; Nitesh V. Chawla (WWW (Companion Volume), 2024)

Representation Learning with Large Language Models for Recommendation. - Xubin Ren; Wei Wei 027; Lianghao Xia; Lixin Su; Suqi Cheng; Junfeng Wang 009; Dawei Yin; Chao Huang 001 (WWW, 2024)

A Comprehensive Survey on Self-Supervised Learning for Recommendation. - Xubin Ren; Wei Wei 027; Lianghao Xia; Chao Huang 001 (CoRR, 2024)

EasyRec: Simple yet Effective Language Models for Recommendation. - Xubin Ren; Chao Huang 001 (CoRR, 2024)

MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation. - Tianyu Fan; Jingyuan Wang 001; Xubin Ren; Chao Huang 001 (CoRR, 2025)

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. - Xubin Ren; Lingrui Xu; Long Xia; Shuaiqiang Wang; Dawei Yin; Chao Huang 001 (CoRR, 2025)

Urban Computing in the Era of Large Language Models. - Zhonghang Li; Lianghao Xia; Xubin Ren; Jiabin Tang; Tianyi Chen; Yong Xu 007; Chao Huang 001 (CoRR, 2025)

RecGPT: A Foundation Model for Sequential Recommendation. - Yangqin Jiang; Xubin Ren; Lianghao Xia; Da Luo; Kangyi Lin; Chao Huang 001 (CoRR, 2025)