Xubin Ren - RankMe

35 papers A* 7A 3Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. ACM Comput. Surv. Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2026	—	`conf`	VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. KDD (1) Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
2025	J	`jnl`	DeepCode: Open Agentic Coding. CoRR Zongwei Li, Zhonghang Li, Zirui Guo, Xubin Ren, Chao Huang
2025	A*	`conf`	EasyRec: Simple yet Effective Language Models for Recommendation. EMNLP Xubin Ren, Chao Huang
2025	J	`jnl`	MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation. CoRR Tianyu Fan, Jingyuan Wang, Xubin Ren, Chao Huang
2025	J	`jnl`	RAG-Anything: All-in-One RAG Framework. CoRR Zirui Guo, Xubin Ren, Lingrui Xu, Jiahao Zhang, Chao Huang
2025	A*	`conf`	RecGPT: A Foundation Model for Sequential Recommendation. EMNLP Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	J	`jnl`	RecGPT: A Foundation Model for Sequential Recommendation. CoRR Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. ACM Trans. Intell. Syst. Technol. Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2025	J	`jnl`	VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. CoRR Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
2024	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2024	A*	`conf`	A Survey of Large Language Models for Graphs. KDD Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
2024	J	`jnl`	A Survey of Large Language Models for Graphs. CoRR Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
2024	J	`jnl`	EasyRec: Simple yet Effective Language Models for Recommendation. CoRR Xubin Ren, Chao Huang
2024	A	`conf`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	—	`conf`	Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla
2024	A*	`conf`	Representation Learning with Large Language Models for Recommendation. WWW Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	A	`conf`	SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2024	—	`conf`	XRec: Large Language Models for Explainable Recommendation. EMNLP (Findings) Qiyao Ma, Xubin Ren, Chao Huang
2024	J	`jnl`	XRec: Large Language Models for Explainable Recommendation. CoRR Qiyao Ma, Xubin Ren, Chao Huang
2023	A*	`conf`	Disentangled Contrastive Collaborative Filtering. SIGIR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023	J	`jnl`	Disentangled Contrastive Collaborative Filtering. CoRR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023	A*	`conf`	Graph Transformer for Recommendation. SIGIR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	J	`jnl`	Graph Transformer for Recommendation. CoRR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	A	`conf`	How Expressive are Graph Neural Networks in Recommendation? CIKM Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
2023	J	`jnl`	How Expressive are Graph Neural Networks in Recommendation? CoRR Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
2023	J	`jnl`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	A*	`conf`	LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. ICLR Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
2023	J	`jnl`	LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. CoRR Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
2023	J	`jnl`	Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. ACM Trans. Inf. Syst. Jing Yi, Xubin Ren, Zhenzhong Chen
2023	J	`jnl`	Representation Learning with Large Language Models for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	J	`jnl`	SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2022	J	`jnl`	Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention. CoRR Yaochen Zhu, Xubin Ren, Jing Yi, Zhenzhong Chen
2022	J	`jnl`	Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. CoRR Jing Yi, Xubin Ren, Zhenzhong Chen