All Stories

  1. Investigating Reasoning in Large Language Models with Counterfactual Knowledge Graphs

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

    Xikun ZHANG, Renqiang Luo

  2. One Rounding Fits All: Memory-Efficient Approximation Algorithms for Partition-Constrained Influence Maximization

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

    Renqiang Luo

  3. 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

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

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

    ZIQI XU, Renqiang Luo, Bowen Li

  5. Bridging Semantic Understanding and Popularity Bias with LLMs

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

    Renqiang Luo

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

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

    Renqiang Luo, ZIQI XU, Huafei Huang

  7. RMTrans: Robust Multimodal Transformers for Patient Prognosis under Backdoor Threats

    Article • ACM Transactions on Intelligent Systems and Technology, March 2026, ACM (Association for Computing Machinery)

    Renqiang Luo

  8. 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

  9. FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks

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

    Huafei Huang, Renqiang Luo