All Stories

  1. MoC-KT: Mixture of Convolutions for Knowledge Tracing

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

    Renqiang Luo

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

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

    Xikun ZHANG, Renqiang Luo

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

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

    Renqiang Luo

  4. 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

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

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

    ZIQI XU, Renqiang Luo, Bowen Li

  6. Bridging Semantic Understanding and Popularity Bias with LLMs

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

    Renqiang Luo

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

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

    Renqiang Luo, ZIQI XU, Huafei Huang

  8. 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

  9. 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

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

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

    Huafei Huang, Renqiang Luo