Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition. - Yue Ding 001; Dong Wang 024; Xin Xin 003 (KSEM, 2015)

FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems. - Xin Xin 003; Dong Wang 024; Yue Ding 001; Chen Lini (APWeb (2), 2016)

SoGeM: Social Based Generative Model for Top-N Recommendation. - Litian Yin; Dong Wang 024; Xin Xin 003; Yue Ding 001 (ICTAI, 2017)

HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback. - Lini Chen; Xin Xin 003; Dong Wong; Yue Ding 001 (MDM, 2017)

Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation. - Yue Ding 001; Dong Wang 024; Guoqiang Li 001; Daniel Sun 004; Xin Xin 003; Shiyou Qian (Softw. Pract. Exp., 2017)

Batch IS NOT Heavy: Learning Word Representations From All Samples. - Xin Xin 003; Fajie Yuan; Xiangnan He 001; Joemon M. Jose (ACL (1), 2018)

fBGD: Learning Embeddings From Positive Unlabeled Data with BGD. - Fajie Yuan; Xin Xin 003; Xiangnan He 001; Guibing Guo; Weinan Zhang 001; Tat-Seng Chua; Joemon M. Jose (UAI, 2018)

SCFM: Social and crowdsourcing factorization machines for recommendation. - Yue Ding 001; Dong Wang 024; Xin Xin 003; Guoqiang Li 001; Daniel Sun 004; Xuezhi Zeng; Rajiv Ranjan 001 (Appl. Soft Comput., 2018)

CFM: Convolutional Factorization Machines for Context-Aware Recommendation. - Xin Xin 003; Bo Chen 023; Xiangnan He 001; Dong Wang 024; Yue Ding 001; Joemon M. Jose (IJCAI, 2019)

AIRec: Attentive Intersection Model for Tag-Aware Recommendation. - Bo Chen 023; Dong Wang 024; Yue Ding 001; Xin Xin 003 (ISWC (Satellites), 2019)

Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. - Xin Xin 003; Xiangnan He 001; Yongfeng Zhang; Yongdong Zhang 001; Joemon M. Jose (SIGIR, 2019)

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. - Bo Chen 023; Wei Guo 006; Ruiming Tang; Xin Xin 003; Yue Ding 001; Xiuqiang He 001; Dong Wang 024 (CIKM, 2020)

Self-Supervised Reinforcement Learning for Recommender Systems. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (SIGIR, 2020)

Graph Highway Networks. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (CoRR, 2020)

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. - Fuli Feng; Weiran Huang 002; Xin Xin 003; Xiangnan He 001; Tat-Seng Chua (CoRR, 2020)

Extracting Attentive Social Temporal Excitation for Sequential Recommendation. - Yunzhe Li 001; Yue Ding 001; Bo Chen 023; Xin Xin 003; Yule Wang; Yuxiang Shi; Ruiming Tang; Dong Wang 024 (CIKM, 2021)

Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. - Mingyue Cheng; Fajie Yuan; Qi Liu 003; Xin Xin 003; Enhong Chen (ICDM, 2021)

AutoDebias: Learning to Debias for Recommendation. - Jiawei Chen 007; Hande Dong; Yang Qiu; Xiangnan He 001; Xin Xin 003; Liang Chen 001; Guli Lin; Keping Yang (SIGIR, 2021)

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. - Fuli Feng; Weiran Huang 002; Xiangnan He 001; Xin Xin 003; Qifan Wang 001; Tat-Seng Chua (SIGIR, 2021)

Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. - Hao Chen 099; Xin Xin 003; Dong Wang 024; Yue Ding 001 (WSDM, 2021)

Graph Convolutional Embeddings for Recommender Systems. - Paula Gómez Duran; Alexandros Karatzoglou; Jordi Vitrià; Xin Xin 003; Ioannis Arapakis (IEEE Access, 2021)

Probabilistic and Variational Recommendation Denoising. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Xiangnan He 001; Joemon M. Jose; Fuli Feng (CoRR, 2021)

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation. - Yule Wang; Xin Xin 003; Yue Ding 001; Dong Wang 024 (CoRR, 2021)

AIRec: Attentive intersection model for tag-aware recommendation. - Bo Chen 023; Yue Ding 001; Xin Xin 003; Yunzhe Li 001; Yule Wang; Dong Wang 024 (Neurocomputing, 2021)

Deep learning-based implicit feedback recommendation. - Xin Xin 003 (2021)

Variational Reasoning about User Preferences for Conversational Recommendation. - Zhaochun Ren; Zhi Tian; Dongdong Li; Pengjie Ren; Liu Yang; Xin Xin 003; Huasheng Liang; Maarten de Rijke; Zhumin Chen (SIGIR, 2022)

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. - Xin Xin 003; Tiago Pimentel; Alexandros Karatzoglou; Pengjie Ren; Konstantina Christakopoulou; Zhaochun Ren (SIGIR, 2022)

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. - Guojun Yan; Jiahuan Pei; Pengjie Ren; Zhaochun Ren; Xin Xin 003; Huasheng Liang; Maarten de Rijke; Zhumin Chen (SIGIR, 2022)

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. - Xiangyu Zhao 001; Xin Xin 003; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2022)

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. - Dusan Stamenkovic; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Kleomenis Katevas (WSDM, 2022)

Supervised Advantage Actor-Critic for Recommender Systems. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WSDM, 2022)

Learning Robust Recommenders through Cross-Model Agreement. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Joemon M. Jose; Fuli Feng; Xiangnan He 001 (WWW, 2022)

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. - Xin Xin 003; Xiangyu Zhao 001; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (CIKM, 2023)

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. - Xin Xin 003; Xiangyuan Liu; Hanbing Wang; Pengjie Ren; Zhumin Chen; Jiahuan Lei; Xinlei Shi; Hengliang Luo; Joemon M. Jose; Maarten de Rijke; Zhaochun Ren (SIGIR, 2023)

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. - Zhaochun Ren; Na Huang; Yidan Wang; Pengjie Ren; Jun Ma 001; Jiahuan Lei; Xinlei Shi; Hengliang Luo; Joemon M. Jose; Xin Xin 003 (SIGIR, 2023)

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. - Zhengyi Yang 007; Xiangnan He 001; Jizhi Zhang; Jiancan Wu; Xin Xin 003; Jiawei Chen 007; Xiang Wang 010 (SIGIR, 2023)

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. - Xiaoyu Zhang; Xin Xin 003; Dongdong Li; Wenxuan Liu; Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhaochun Ren (WSDM, 2023)

A Self-Correcting Sequential Recommender. - Yujie Lin; Chenyang Wang; Zhumin Chen; Zhaochun Ren; Xin Xin 003; Qiang Yan 001; Maarten de Rijke; Xiuzhen Cheng 001; Pengjie Ren (WWW, 2023)

Label Denoising through Cross-Model Agreement. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Xiangnan He 001; Joemon M. Jose; Fuli Feng (CoRR, 2023)

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. - Shen Gao; Zhengliang Shi; Minghang Zhu; Bowen Fang; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001 (CoRR, 2023)

On the User Behavior Leakage from Recommender System Exposure. - Xin Xin 003; Jiyuan Yang; Hanbing Wang; Jun Ma 001; Pengjie Ren; Hengliang Luo; Xinlei Shi; Zhumin Chen; Zhaochun Ren (ACM Trans. Inf. Syst., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation. - Jiajia Chen; Xin Xin 003; Xianfeng Liang; Xiangnan He 001; Jun Liu 004 (IEEE Trans. Knowl. Data Eng., 2023)

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. - Shen Gao; Zhengliang Shi; Minghang Zhu; Bowen Fang; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhaochun Ren (AAAI, 2024)

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. - Jitai Hao; Weiwei Sun 001; Xin Xin 003; Qi Meng; Zhumin Chen; Pengjie Ren; Zhaochun Ren (ACL (1), 2024)

Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Xuri Ge; Joemon M. Jose (CIKM, 2024)

Content-Based Collaborative Generation for Recommender Systems. - Yidan Wang; Zhaochun Ren; Weiwei Sun 001; Jiyuan Yang; Zhixiang Liang; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Pengjie Ren; Zhumin Chen; Xin Xin 003 (CIKM, 2024)

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. - Zaiqiao Meng; Shangsong Liang; Xin Xin 003; Gianluca Moro; Evangelos Kanoulas; Emine Yilmaz (ECIR (5), 2024)

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Weiqin Yang 002; Jiawei Chen 007; Xin Xin 003; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2024)

Towards Empathetic Conversational Recommender Systems. - Xiaoyu Zhang; Ruobing Xie; Yougang Lyu; Xin Xin 003; Pengjie Ren; Mingfei Liang; Bo Zhang 056; Zhanhui Kang; Maarten de Rijke; Zhaochun Ren (RecSys, 2024)

R3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. - Zihan Wang 002; Xuri Ge; Joemon M. Jose; Haitao Yu 003; Weizhi Ma; Zhaochun Ren; Xin Xin 003 (SIGIR-AP, 2024)

AgentIR: 1st Workshop on Agent-based Information Retrieval. - Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2024)

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Jie Wang 072; Joemon M. Jose (SIGIR, 2024)

On the Effectiveness of Unlearning in Session-Based Recommendation. - Xin Xin 003; Liu Yang; Ziqi Zhao; Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhaochun Ren (WSDM, 2024)

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. - Jiyuan Yang; Yue Ding 001; Yidan Wang; Pengjie Ren; Zhumin Chen; Fei Cai; Jun Ma 001; Rui Zhang 003; Zhaochun Ren; Xin Xin 003 (WSDM, 2024)

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. - Jiyuan Yang; Yuanzi Li; Jingyu Zhao; Hanbing Wang; Muyang Ma; Jun Ma 001; Zhaochun Ren; Mengqi Zhang; Xin Xin 003; Zhumin Chen; Pengjie Ren (CoRR, 2024)

Enhanced Generative Recommendation via Content and Collaboration Integration. - Yidan Wang; Zhaochun Ren; Weiwei Sun 001; Jiyuan Yang; Zhixiang Liang; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Pengjie Ren; Zhumin Chen; Xin Xin 003 (CoRR, 2024)

Offline Trajectory Generalization for Offline Reinforcement Learning. - Ziqi Zhao; Zhaochun Ren; Liu Yang; Fajie Yuan; Pengjie Ren; Zhumin Chen; Jun Ma 001; Xin Xin 003 (CoRR, 2024)

Towards Personalized Federated Multi-scenario Multi-task Recommendation. - Yue Ding 001; Yanbiao Ji; Xun Cai; Xin Xin 003; Xiaofeng Gao 001; Hongtao Lu 001 (CoRR, 2024)

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. - Zhiwei Xu 005; Hangyu Mao; Nianmin Zhang; Xin Xin 003; Pengjie Ren; Dapeng Li 001; Bin Zhang 052; Guoliang Fan; Zhumin Chen; Changwei Wang 001; Jiangjin Yin (CoRR, 2024)

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. - Zihan Wang 002; Xuri Ge; Joemon M. Jose; Haitao Yu 003; Weizhi Ma; Zhaochun Ren; Xin Xin 003 (CoRR, 2024)

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Kaiwen Zheng; Yongxin Ni; Joemon M. Jose (CoRR, 2024)

Topology-Aware Popularity Debiasing via Simplicial Complexes. - Yanbiao Ji; Yue Ding 001; Chang Liu 078; Yuxiang Lu; Xin Xin 003; Hongtao Lu 001 (CoRR, 2024)

Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. - Chaoyu Shi; Pengjie Ren; Dongjie Fu; Xin Xin 003; Shansong Yang; Fei Cai; Zhaochun Ren; Zhumin Chen (ACM Trans. Inf. Syst., 2024)

How graph convolutions amplify popularity bias for recommendation? - Jiajia Chen; Jiancan Wu; Jiawei Chen 007; Xin Xin 003; Yong Li 008; Xiangnan He 001 (Frontiers Comput. Sci., 2024)

OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. - Jitai Hao; Yuke Zhu; Tian Wang; Jun Yu; Xin Xin 003; Bo Zheng 007; Zhaochun Ren; Sheng Guo 005 (ICLR, 2025)

Constrained Auto-Regressive Decoding Constrains Generative Retrieval. - Shiguang Wu 003; Zhaochun Ren; Xin Xin 003; Jiyuan Yang; Mengqi Zhang; Zhumin Chen; Maarten de Rijke; Pengjie Ren (SIGIR, 2025)

AgentIR: 2nd Workshop on Agent-based Information Retrieval. - Pengyue Jia; Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2025)

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. - Ziqi Zhao; Zhaochun Ren; Jiyuan Yang; Zuming Yan; Zihan Wang 002; Liu Yang; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Xin Xin 003 (SIGIR, 2025)

Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. - Yue Ding 001; Yanbiao Ji; Xun Cai; Xin Xin 003; Yuxiang Lu; Suizhi Huang; Chang Liu 078; Xiaofeng Gao 001; Tsuyoshi Murata; Hongtao Lu 001 (WSDM, 2025)

Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation. - Yidan Wang; Xuri Ge; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Zhumin Chen; Jun Ma 001; Xin Xin 003 (WSDM, 2025)

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. - Junchen Fu; Xuri Ge; Xin Xin 003; Haitao Yu 003; Yue Feng 002; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WWW (Companion Volume), 2025)

Learning Robust Sequential Recommenders through Confident Soft Labels. - Shiguang Wu 003; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001; Maarten de Rijke; Zhaochun Ren (ACM Trans. Inf. Syst., 2025)

LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation. - Junchen Fu; Xuri Ge; Kaiwen Zheng; Ioannis Arapakis; Xin Xin 003; Joemon M. Jose (CoRR, 2025)

Curriculum Approximate Unlearning for Session-based Recommendation. - Liu Yang; Zhaochun Ren; Ziqi Zhao; Pengjie Ren; Zhumin Chen; Xinyi Li 001; Shuaiqiang Wang; Dawei Yin; Xin Xin 003 (CoRR, 2025)