All Stories

  1. ExODRec: An Explainable Framework for Outlier Detection Model Recommendation

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

    ZIQI XU

  2. Verifiable User Simulation for Search and Recommendation Systems

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

    Chenglong Ma, ZIQI XU, Yongli Ren

  3. Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models

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

    Chenglong Ma, ZIQI XU

  4. Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting

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

    ZIQI XU, Chenglong Ma, Yongli Ren, Jie Li, Mark Sanderson

  5. Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models

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

    Renqiang Luo, ZIQI XU

  6. When to Invoke: Refining LLM Fairness with Toxicity Assessment

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

    ZIQI XU, Renqiang Luo, Bowen Li

  7. When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation

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

    Xikun ZHANG, ZIQI XU, Bowen Li

  8. FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks

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

    Renqiang Luo, ZIQI XU, Huafei Huang

  9. Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems

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

    ZIQI XU

  10. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation

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

    ZIQI XU

  11. Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment

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

    Renqiang Luo, Yongli Ren, ZIQI XU

  12. Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework

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

    Sevvandi Kandanaarachchi, ZIQI XU

  13. Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems

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

    Chenglong Ma, ZIQI XU

  14. FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction

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

    ZIQI XU

  15. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation

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

    ZIQI XU, Yongli Ren, Chenglong Ma

  16. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory

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

    ZIQI XU, Yongli Ren, Chenglong Ma

  17. Testing fairness measures in machine learning using an approach for designing tests in education.

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

    Prof. Dr. Eirini Ntoutsi, ZIQI XU, Sevvandi Kandanaarachchi, Cheng Soon Ong

  18. Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders

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

    ZIQI XU