All Stories

  1. Difference-based Sample Selection for Federated Graph Rationalization

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

    Linan Yue

  2. Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor

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

    Linan Yue

  3. BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling

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

    Linan Yue, Zhenya Huang

  4. Empowering Federated Graph Rationale Learning with Latent Environments

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

    Linan Yue

  5. AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling

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

    Linan Yue

  6. COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks

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

    Linan Yue

  7. Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models

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

    Linan Yue

  8. Cooperative Classification and Rationalization for Graph Generalization

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

    Linan Yue

  9. Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis

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

    Linan Yue

  10. LawyerPAN

    Article • August 2021, ACM (Association for Computing Machinery)

    Linan Yue, Mingyue Cheng

  11. Circumstances enhanced Criminal Court View Generation

    Article • July 2021, ACM (Association for Computing Machinery)

    Linan Yue

  12. NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction

    Article • July 2021, ACM (Association for Computing Machinery)

    Linan Yue, Binbin Jin, Mingyue Cheng