Chen Xu

According to our database, Chen Xu authored at least 31 papers between 2020 and 2025.

Collaborative distances:

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

2025

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems.

Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong

CoRR, April, 2025

Unifying Search and Recommendation: A Generative Paradigm Inspired by Information Theory.

Jujia Zhao, Wenjie Wang, Chen Xu, Xiuying Chen, Zhaochun Ren, Suzan Verberne

CoRR, April, 2025

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms.

Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke

CoRR, February, 2025

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry.

Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen

CoRR, February, 2025

LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops.

Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen

ACM Trans. Inf. Syst., January, 2025

Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era.

Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry.

Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics.

Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Fairness in Information Retrieval from an Economic Perspective.

Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval.

Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

AMS42 at the NTCIR-18 FairWeb-2 Task.

Clara Rus, Jasmin Kareem, Chen Xu, Yuanna Liu, Zhirui Deng, Maria Heuss

Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, 2025

A Federated Framework for LLM-based Recommendation.

Jujia Zhao, Wenjie Wang, Chen Xu, See-Kiong Ng, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation.

Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Syntactic-Informed Graph Networks for Sentence Matching.

Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen

ACM Trans. Inf. Syst., March, 2024

BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System.

Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong

CoRR, 2024

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.

Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu

CoRR, 2024

LLM-based Federated Recommendation.

Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval.

Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi

Proceedings of the ACM on Web Conference 2024, 2024

A Taxation Perspective for Fair Re-ranking.

Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.

Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Study of Implicit Ranking Unfairness in Large Language Models.

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach.

Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study.

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

CoRR, 2023

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops.

Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen

CoRR, 2023

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.

Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen

CoRR, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.

Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong

Proceedings of the ACM Web Conference 2023, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.

Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Semantic Sentence Matching via Interacting Syntax Graphs.

Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.

Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.

Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020