Xin Xin - RankMe

112 papers A* 25A 16B 2C 1Journal 58Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond efficient fine-tuning: Efficient hybrid fine-tuning of CLIP models guided by explainable ViT attention. Inf. Process. Manag. Hui Ye, Xuri Ge, Junqi Wang, Junchen Fu, Xin Xin, Jiao Xue, Yao Chen, Pengjie Ren, Zhumin Chen
2026	J	`jnl`	Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering. CoRR Fangan Dong, Zuming Yan, Xuri Ge, Zhiwei Xu, Mengqi Zhang, Xuanang Chen, Ben He, Xin Xin, Zhumin Chen, Ying Zhou
2026	A*	`conf`	MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval. WWW Xuri Ge, Chunhao Wang, Xindi Wang, Zheyun Qin, Zhumin Chen, Xin Xin
2026	J	`jnl`	MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval. CoRR Xuri Ge, Chunhao Wang, Xindi Wang, Zheyun Qin, Zhumin Chen, Xin Xin
2026	J	`jnl`	Model Editing for New Document Integration in Generative Information Retrieval. CoRR Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2026	A*	`conf`	R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation. WWW Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren, Xin Xin
2026	J	`jnl`	Reinforced Efficient Reasoning via Semantically Diverse Exploration. CoRR Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, Zhumin Chen, Xinyu Ma, Daiting Shi, Shuaiqiang Wang, Dawei Yin, Xin Xin
2025	A*	`conf`	AgentIR: 2nd Workshop on Agent-based Information Retrieval. SIGIR Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2025	J	`jnl`	Constrained Auto-Regressive Decoding Constrains Generative Retrieval. CoRR Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren
2025	J	`jnl`	Curriculum Approximate Unlearning for Session-based Recommendation. CoRR Liu Yang, Zhaochun Ren, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Xinyi Li, Shuaiqiang Wang, Dawei Yin, Xin Xin
2025	J	`jnl`	DiffuGR: Generative Document Retrieval with Diffusion Language Models. CoRR Xinpeng Zhao, Yukun Zhao, Zhenyang Li, Mengqi Zhang, Jun Feng, Ran Chen, Ying Zhou, Zhumin Chen, Shuaiqiang Wang, Zhaochun Ren, Dawei Yin, Xin Xin
2025	A	`conf`	Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation. WSDM Yidan Wang, Xuri Ge, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Zhumin Chen, Jun Ma, Xin Xin
2025	A*	`conf`	Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. SIGIR Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin
2025	J	`jnl`	Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. CoRR Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin
2025	J	`jnl`	LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation. CoRR Junchen Fu, Xuri Ge, Kaiwen Zheng, Ioannis Arapakis, Xin Xin, Joemon M. Jose
2025	J	`jnl`	Learning Robust Sequential Recommenders through Confident Soft Labels. ACM Trans. Inf. Syst. Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren
2025	A	`conf`	Measuring Interaction-Level Unlearning Difficulty for Collaborative Filtering. RecSys Haocheng Dou, Tao Lian, Xin Xin
2025	—	`conf`	Offline Trajectory Optimization for Offline Reinforcement Learning. KDD (2) Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin
2025	A*	`conf`	OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. ICLR Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo
2025	—	`conf`	R SIGIR-AP Haitao Yu, Yubo Fang, Xuri Ge, Xin Xin, Zihan Wang, Junchen Fu, Joemon M. Jose, Weizhi Ma, Zhaochun Ren
2025	A*	`conf`	Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning. ICML Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi, Hangyu Mao, Bin Zhang, Dapeng Li, Jiangjin Yin
2025	—	`conf`	The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. WWW (Companion Volume) Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2025	J	`jnl`	The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. CoRR Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2025	A	`conf`	Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. WSDM Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu
2024	A*	`conf`	AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024	J	`jnl`	Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. CoRR Zhiwei Xu, Hangyu Mao, Nianmin Zhang, Xin Xin, Pengjie Ren, Dapeng Li, Bin Zhang, Guoliang Fan, Zhumin Chen, Changwei Wang, Jiangjin Yin
2024	A*	`conf`	Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. AAAI Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren
2024	A	`conf`	Content-Based Collaborative Generation for Recommender Systems. CIKM Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin
2024	A	`conf`	Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2024	J	`jnl`	Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. ACM Trans. Inf. Syst. Chaoyu Shi, Pengjie Ren, Dongjie Fu, Xin Xin, Shansong Yang, Fei Cai, Zhaochun Ren, Zhumin Chen
2024	J	`jnl`	Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. CoRR Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose
2024	J	`jnl`	Enhanced Generative Recommendation via Content and Collaboration Integration. CoRR Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin
2024	J	`jnl`	How graph convolutions amplify popularity bias for recommendation? Frontiers Comput. Sci. Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He
2024	A*	`conf`	IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. SIGIR Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose
2024	J	`jnl`	IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. CoRR Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose
2024	—	`conf`	KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz
2024	—	`conf`	MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. ACL (1) Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren
2024	J	`jnl`	MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. CoRR Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren
2024	J	`jnl`	Offline Trajectory Generalization for Offline Reinforcement Learning. CoRR Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin
2024	A	`conf`	On the Effectiveness of Unlearning in Session-Based Recommendation. WSDM Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren
2024	A*	`conf`	PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. NeurIPS Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. CoRR Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	—	`conf`	R SIGIR-AP Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin
2024	J	`jnl`	R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. CoRR Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin
2024	A	`conf`	Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. CIKM Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon M. Jose
2024	J	`jnl`	Topology-Aware Popularity Debiasing via Simplicial Complexes. CoRR Yanbiao Ji, Yue Ding, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu
2024	A	`conf`	Towards Empathetic Conversational Recommender Systems. RecSys Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren
2024	J	`jnl`	Towards Empathetic Conversational Recommender Systems. CoRR Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren
2024	J	`jnl`	Towards Personalized Federated Multi-scenario Multi-task Recommendation. CoRR Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Xiaofeng Gao, Hongtao Lu
2024	J	`jnl`	Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. CoRR Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin, Zhumin Chen, Pengjie Ren
2023	A*	`conf`	A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang
2023	A*	`conf`	A Self-Correcting Sequential Recommender. WWW Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren
2023	J	`jnl`	A Self-Correcting Sequential Recommender. CoRR Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren
2023	J	`jnl`	Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. CoRR Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma
2023	A*	`conf`	Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. SIGIR Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin
2023	J	`jnl`	Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. CoRR Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin
2023	A	`conf`	DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. CIKM Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2023	J	`jnl`	Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. CoRR Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2023	J	`jnl`	GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation. IEEE Trans. Knowl. Data Eng. Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu
2023	J	`jnl`	How Graph Convolutions Amplify Popularity Bias for Recommendation? CoRR Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He
2023	A*	`conf`	Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. SIGIR Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren
2023	J	`jnl`	Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. CoRR Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren
2023	J	`jnl`	Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023	J	`jnl`	Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023	J	`jnl`	Label Denoising through Cross-Model Agreement. CoRR Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng
2023	J	`jnl`	Learning Robust Sequential Recommenders through Confident Soft Labels. CoRR Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren
2023	J	`jnl`	On the Effectiveness of Unlearning in Session-Based Recommendation. CoRR Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren
2023	J	`jnl`	On the User Behavior Leakage from Recommender System Exposure. ACM Trans. Inf. Syst. Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren
2023	A	`conf`	Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. WSDM Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren
2022	A	`conf`	Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. WSDM Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas
2022	A*	`conf`	DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2022	J	`jnl`	GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation. CoRR Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu
2022	A*	`conf`	Learning Robust Recommenders through Cross-Model Agreement. WWW Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He
2022	J	`jnl`	On the User Behavior Leakage from Recommender System Exposure. CoRR Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren
2022	A*	`conf`	ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. SIGIR Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen
2022	A*	`conf`	Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. SIGIR Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren
2022	J	`jnl`	Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. CoRR Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren
2022	A	`conf`	Supervised Advantage Actor-Critic for Recommender Systems. WSDM Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2022	A*	`conf`	Variational Reasoning about User Preferences for Conversational Recommendation. SIGIR Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen
2022	J	`jnl`	Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. CoRR Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren
2021	J	`jnl`	AIRec: Attentive intersection model for tag-aware recommendation. Neurocomputing Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang
2021	A*	`conf`	AutoDebias: Learning to Debias for Recommendation. SIGIR Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
2021	J	`jnl`	AutoDebias: Learning to Debias for Recommendation. CoRR Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
2021	J	`jnl`	Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. CoRR Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas
2021	A	`conf`	Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. WSDM Hao Chen, Xin Xin, Dong Wang, Yue Ding
2021	—	`—`	Deep learning-based implicit feedback recommendation. Xin Xin
2021	A	`conf`	Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CIKM Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021	J	`jnl`	Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CoRR Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021	J	`jnl`	Graph Convolutional Embeddings for Recommender Systems. IEEE Access Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
2021	J	`jnl`	Graph Convolutional Embeddings for Recommender Systems. CoRR Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
2021	J	`jnl`	ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation. CoRR Yule Wang, Xin Xin, Yue Ding, Dong Wang
2021	A*	`conf`	Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen
2021	J	`jnl`	Probabilistic and Variational Recommendation Denoising. CoRR Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng
2021	A*	`conf`	Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua
2021	J	`jnl`	Supervised Advantage Actor-Critic for Recommender Systems. CoRR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	J	`jnl`	Graph Highway Networks. CoRR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	A*	`conf`	Self-Supervised Reinforcement Learning for Recommender Systems. SIGIR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	J	`jnl`	Self-Supervised Reinforcement Learning for Recommender Systems. CoRR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	J	`jnl`	Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. CoRR Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua
2020	A	`conf`	TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2019	—	`conf`	AIRec: Attentive Intersection Model for Tag-Aware Recommendation. ISWC (Satellites) Bo Chen, Dong Wang, Yue Ding, Xin Xin
2019	A*	`conf`	CFM: Convolutional Factorization Machines for Context-Aware Recommendation. IJCAI Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose
2019	A*	`conf`	Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. SIGIR Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose
2019	J	`jnl`	Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. CoRR Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose
2018	—	`conf`	Batch IS NOT Heavy: Learning Word Representations From All Samples. ACL (1) Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose
2018	J	`jnl`	SCFM: Social and crowdsourcing factorization machines for recommendation. Appl. Soft Comput. Yue Ding, Dong Wang, Xin Xin, Guoqiang Li, Daniel Sun, Xuezhi Zeng, Rajiv Ranjan
2018	A	`conf`	f UAI Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose
2017	J	`jnl`	Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation. Softw. Pract. Exp. Yue Ding, Dong Wang, Guoqiang Li, Daniel Sun, Xin Xin, Shiyou Qian
2017	B	`conf`	HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback. MDM Lini Chen, Xin Xin, Dong Wong, Yue Ding
2017	B	`conf`	SoGeM: Social Based Generative Model for Top-N Recommendation. ICTAI Litian Yin, Dong Wang, Xin Xin, Yue Ding
2016	—	`conf`	FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems. APWeb (2) Xin Xin, Dong Wang, Yue Ding, Chen Lini
2015	C	`conf`	Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition. KSEM Yue Ding, Dong Wang, Xin Xin