Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. - Weijie Yu 003; Chen Xu 010; Jun Xu 001; Liang Pang; Xiaopeng Gao; Xiaozhao Wang; Ji-Rong Wen (EMNLP (1), 2020)

Dually Enhanced Propensity Score Estimation in Sequential Recommendation. - Chen Xu 010; Jun Xu 001; Xu Chen 017; Zhenhua Dong; Ji-Rong Wen (CIKM, 2022)

Semantic Sentence Matching via Interacting Syntax Graphs. - Chen Xu 010; Jun Xu 001; Zhenhua Dong; Ji-Rong Wen (COLING, 2022)

Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. - Weijie Yu 003; Chen Xu 010; Jun Xu 001; Liang Pang; Ji-Rong Wen (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Uncovering ChatGPT's Capabilities in Recommender Systems. - Sunhao Dai; Ninglu Shao; Haiyuan Zhao; Weijie Yu 003; Zihua Si; Chen Xu 010; Zhongxiang Sun; Xiao Zhang 034; Jun Xu 001 (RecSys, 2023)

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. - Chen Xu 010; Sirui Chen; Jun Xu 001; Weiran Shen; Xiao Zhang 034; Gang Wang 056; Zhenhua Dong (WWW, 2023)

Dually Enhanced Propensity Score Estimation in Sequential Recommendation. - Chen Xu 010; Jun Xu 001; Xu Chen 017; Zhenghua Dong; Ji-Rong Wen (CoRR, 2023)

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. - Chen Xu 010; Xiaopeng Ye; Jun Xu 001; Xiao Zhang 034; Weiran Shen; Ji-Rong Wen (CoRR, 2023)

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang; Jun Xu 001; Tat-Seng Chua (CoRR, 2023)

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach. - Xiaopeng Ye; Chen Xu 010; Jun Xu 001; Xuyang Xie; Gang Wang 056; Zhenhua Dong (CIKM, 2024)

A Study of Implicit Ranking Unfairness in Large Language Models. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang; Jun Xu 001; Tat-Seng Chua (EMNLP (Findings), 2024)

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (KDD, 2024)

A Taxation Perspective for Fair Re-ranking. - Chen Xu 010; Xiaopeng Ye; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua (SIGIR, 2024)

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. - Chen Xu 010; Jun Xu 001; Yiming Ding; Xiao Zhang 034; Qi Qi 003 (WWW, 2024)

LLM-based Federated Recommendation. - Jujia Zhao; Wenjie Wang 007; Chen Xu 010; Zhaochun Ren; See-Kiong Ng; Tat-Seng Chua (CoRR, 2024)

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (CoRR, 2024)

BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System. - Xiaopeng Ye; Chen Xu 010; Jun Xu 001; Xuyang Xie; Gang Wang 056; Zhenhua Dong (CoRR, 2024)

Syntactic-Informed Graph Networks for Sentence Matching. - Chen Xu 010; Jun Xu 001; Zhenhua Dong; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. - Chen Xu 010; Yuxin Li; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua (ICLR, 2025)

A Federated Framework for LLM-based Recommendation. - Jujia Zhao; Wenjie Wang 007; Chen Xu 010; See-Kiong Ng; Tat-Seng Chua (NAACL (Findings), 2025)

AMS42 at the NTCIR-18 FairWeb-2 Task. - Clara Rus; Jasmin Kareem; Chen Xu 010; Yuanna Liu; Zhirui Deng; Maria Heuss (NTCIR, 2025)

FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. - Chen Xu 010; Zhirui Deng; Clara Rus; Xiaopeng Ye; Yuanna Liu; Jun Xu 001; Zhicheng Dou; Ji-Rong Wen; Maarten de Rijke (SIGIR, 2025)

Fairness in Information Retrieval from an Economic Perspective. - Chen Xu 010; Clara Rus; Yuanna Liu; Marleen de Jonge; Jun Xu 001; Maarten de Rijke (SIGIR, 2025)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. - Chen Xu 010; Jujia Zhao; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua; Maarten de Rijke (SIGIR, 2025)

LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. - Xiaopeng Ye; Chen Xu 010; Zhongxiang Sun; Jun Xu 001; Gang Wang 056; Zhenhua Dong; Ji-Rong Wen (SIGIR, 2025)

Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (WSDM, 2025)

LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops. - Chen Xu 010; Xiaopeng Ye; Jun Xu 001; Xiao Zhang 034; Weiran Shen; Ji-Rong Wen (ACM Trans. Inf. Syst., 2025)

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry. - Xiaopeng Ye; Chen Xu 010; Zhongxiang Sun; Jun Xu 001; Gang Wang 056; Zhenhua Dong; Ji-Rong Wen (CoRR, 2025)

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms. - Chen Xu 010; Zhirui Deng; Clara Rus; Xiaopeng Ye; Yuanna Liu; Jun Xu 001; Zhicheng Dou; Ji-Rong Wen; Maarten de Rijke (CoRR, 2025)

Unifying Search and Recommendation: A Generative Paradigm Inspired by Information Theory. - Jujia Zhao; Wenjie Wang 007; Chen Xu 010; Xiuying Chen; Zhaochun Ren; Suzan Verberne (CoRR, 2025)

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems. - Xiaopeng Ye; Chen Xu 010; Jun Xu 001; Xuyang Xie; Gang Wang 056; Zhenhua Dong (CoRR, 2025)