Kaize Ding

Venues

Frequent coauthors

Papers

1. A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization
   ACL 2026 ·

   Ziqing Wang

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2. Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
   ACL 2026 ·

   Xingjian Diao

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3. CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
   ACL 2026 ·

   Ruiyao Xu

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4. Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
   ACL 2026 ·

   Junjun Pan

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5. MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
   ACL 2026 ·

   Ziqing Wang

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6. Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs)
   WSDM 2026 ·

   Zhisheng Qi

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7. Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
   AAAI 2026 ·

   Zhengyu Hu

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8. A Survey on Model Extraction Attacks and Defenses for Large Language Models
   SIGKDD 2025 ·

   Kaixiang Zhao

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9. AD-LLM: Benchmarking Large Language Models for Anomaly Detection
   ACL 2025 ·

   Tiankai Yang

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10. ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
    NAACL 2025 ·

    Yichuan Li

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11. AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
    EMNLP 2025 ·

    Ziqing Wang

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12. Avoiding Copyright Infringement via Large Language Model Unlearning
    NAACL 2025 ·

    Guangyao Dou

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13. Cross-Domain Conditional Diffusion Models for Time Series Imputation
    ECML-PKDD 2025 ·

    Kexin Zhang

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14. Explaining Length Bias in LLM-Based Preference Evaluations
    EMNLP 2025 ·

    Zhengyu Hu

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15. Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
    CIKM 2025 ·

    Haoyu Wu

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16. Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
    WSDM 2025 ·

    Kexin Zhang

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17. Glocal Information Bottleneck for Time Series Imputation
    NeurIPS 2025 ·

    Jie Yang

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18. Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
    NAACL 2025 ·

    Ruiyao Xu

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19. On Large Language Model Continual Unlearning
    ICLR 2025 ·

    Chongyang Gao

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20. Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
    NeurIPS 2025 ·

    Yibo Wen

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21. RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery
    SIGKDD 2025 ·

    Chuxu Zhang

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22. RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web
    WWW 2025 ·

    Chuxu Zhang

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23. Resource-Efficient Learning for the Web
    WWW 2025 ·

    Chuxu Zhang

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24. Topology-Aware Conformal Prediction for Stream Networks
    NeurIPS 2025 ·

    Jifan Zhang

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25. Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep
    CIKM 2025 ·

    Qingcheng Zeng

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26. Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
    ICLR 2025 ·

    Yili Wang

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27. Data Quality-aware Graph Machine Learning
    CIKM 2024 ·

    Yu Wang

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28. Data-Efficient Graph Learning
    AAAI 2024 · Kaize Ding
29. Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise
    SIGKDD 2024 · Kaize Ding
30. Empowering Large Language Models for Textual Data Augmentation
    ACL 2024 ·

    Yichuan Li

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31. Graph Anomaly Detection with Few Labels: A Data-Centric Approach
    SIGKDD 2024 ·

    Xiaoxiao Ma

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32. Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
    EMNLP 2024 ·

    Zhengyu Hu

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33. Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
    SIGKDD 2024 ·

    Haohui Wang

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34. On Fake News Detection with LLM Enhanced Semantics Mining
    EMNLP 2024 ·

    Xiaoxiao Ma

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35. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
    SIGKDD 2024 ·

    Chuxu Zhang

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36. Revisiting Score Propagation in Graph Out-of-Distribution Detection
    NeurIPS 2024 ·

    Longfei Ma

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37. Sterling: Synergistic Representation Learning on Bipartite Graphs
    AAAI 2024 ·

    Baoyu Jing

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38. The 5th International Workshop on Machine Learning on Graphs (MLoG)
    WSDM 2024 ·

    Tyler Derr

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