Chen Xu

According to our database, Chen Xu authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

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