Xin Xin

According to our database, Xin Xin authored at least 51 papers between 2015 and 2024.

Collaborative distances:

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

2024

Enhanced Generative Recommendation via Content and Collaboration Integration.

Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin

CoRR, 2024

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation.

Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin, Zhumin Chen, Pengjie Ren

CoRR, 2024

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.

Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin

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

On the Effectiveness of Unlearning in Session-Based Recommendation.

Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

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

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.

Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation.

Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu

IEEE Trans. Knowl. Data Eng., May, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.

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

AI Open, January, 2023

On the User Behavior Leakage from Recommender System Exposure.

Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren

ACM Trans. Inf. Syst., 2023

Learning Robust Sequential Recommenders through Confident Soft Labels.

Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren

CoRR, 2023

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.

Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma

CoRR, 2023

Label Denoising through Cross-Model Agreement.

Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng

CoRR, 2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community.

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

CoRR, 2023

How Graph Convolutions Amplify Popularity Bias for Recommendation?

Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He

CoRR, 2023

A Self-Correcting Sequential Recommender.

Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren

Proceedings of the ACM Web Conference 2023, 2023

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation.

Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts.

Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang

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

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.

Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin

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

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.

Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren

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

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.

Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang

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

2022

Learning Robust Recommenders through Cross-Model Agreement.

Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Supervised Advantage Actor-Critic for Recommender Systems.

Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning.

Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.

Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues.

Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.

Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Variational Reasoning about User Preferences for Conversational Recommendation.

Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Deep learning-based implicit feedback recommendation.

Xin Xin

PhD thesis, 2021

AIRec: Attentive intersection model for tag-aware recommendation.

Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang

Neurocomputing, 2021

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation.

Yule Wang, Xin Xin, Yue Ding, Dong Wang

CoRR, 2021

Probabilistic and Variational Recommendation Denoising.

Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng

CoRR, 2021

Graph Convolutional Embeddings for Recommender Systems.

Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis

IEEE Access, 2021

Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems.

Hao Chen, Xin Xin, Dong Wang, Yue Ding

Proceedings of the WSDM '21, 2021

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.

Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoDebias: Learning to Debias for Recommendation.

Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.

Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation.

Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.

Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua

CoRR, 2020

Graph Highway Networks.

Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

CoRR, 2020

Self-Supervised Reinforcement Learning for Recommender Systems.

Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.

Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.

Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

AIRec: Attentive Intersection Model for Tag-Aware Recommendation.

Bo Chen, Dong Wang, Yue Ding, Xin Xin

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

CFM: Convolutional Factorization Machines for Context-Aware Recommendation.

Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

SCFM: Social and crowdsourcing factorization machines for recommendation.

Yue Ding, Dong Wang, Xin Xin, Guoqiang Li, Daniel Sun, Xuezhi Zeng, Rajiv Ranjan

Appl. Soft Comput., 2018

f_BGD: Learning Embeddings From Positive Unlabeled Data with BGD.

Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Jose M. Joemon

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Batch IS NOT Heavy: Learning Word Representations From All Samples.

Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation.

Yue Ding, Dong Wang, Guoqiang Li, Daniel Sun, Xin Xin, Shiyou Qian

Softw. Pract. Exp., 2017

HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback.

Lini Chen, Xin Xin, Dong Wong, Yue Ding

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

SoGeM: Social Based Generative Model for Top-N Recommendation.

Litian Yin, Dong Wang, Xin Xin, Yue Ding

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems.

Xin Xin, Dong Wang, Yue Ding, Chen Lini

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition.

Yue Ding, Dong Wang, Xin Xin

Proceedings of the Knowledge Science, Engineering and Management, 2015