All Stories

  1. Unifying Search and Recommendation with Dual-View Representation Learning in a Generative Paradigm

    Article • ACM Transactions on Information Systems, August 2026, ACM (Association for Computing Machinery)

    Chen Xu

  2. No Stakeholder Left Behind: Regret-Aware Re-Ranking for Two-Sided Fair Recommendation

    Article • ACM Transactions on Information Systems, July 2026, ACM (Association for Computing Machinery)

    Chen Xu

  3. The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium

    Article • July 2026, ACM (Association for Computing Machinery)

    Chen Xu

  4. Towards a Responsible Web: Economic Perspectives on Fairness in Information Retrieval

    Article • May 2026, ACM (Association for Computing Machinery)

    Chen Xu

  5. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking

    Article • April 2026, ACM (Association for Computing Machinery)

    Chen Xu, Qifan Wang

  6. Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory

    Article • April 2026, ACM (Association for Computing Machinery)

    Chen Xu

  7. BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process

    Article • November 2025, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • July 2025, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • July 2025, ACM (Association for Computing Machinery)

    Chen Xu

  10. Fairness in Information Retrieval from an Economic Perspective

    Article • July 2025, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • July 2025, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • March 2025, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • October 2024, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • ACM Transactions on Information Systems, September 2024, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • August 2024, ACM (Association for Computing Machinery)

    Chen Xu

  16. A Taxation Perspective for Fair Re-ranking

    Article • July 2024, ACM (Association for Computing Machinery)

    Chen Xu

  17. FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval

    Article • May 2024, ACM (Association for Computing Machinery)

    Chen Xu

  18. Uncovering ChatGPT’s Capabilities in Recommender Systems

    Article • September 2023, ACM (Association for Computing Machinery)

    Chen Xu

  19. Syntactic-Informed Graph Networks for Sentence Matching

    Article • ACM Transactions on Information Systems, July 2023, ACM (Association for Computing Machinery)

    Chen Xu

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

    Article • April 2023, ACM (Association for Computing Machinery)

    Chen Xu