Yushun Dong

Venues

Frequent coauthors

Papers

1. Certified Defense on the Fairness of Graph Neural Networks
   SIGKDD 2026 · Yushun Dong
2. MolEdit: Knowledge Editing for Multimodal Molecule Language Models
   WSDM 2026 ·

   Zhenyu Lei

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3. Query-Efficient Domain Knowledge Stealing Against Large Language Models
   AAAI 2026 ·

   Zhengao Li

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4. Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
   AAAI 2026 ·

   Rikuto Kotoge

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5. Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
   ACL 2026 ·

   Jinbo Liu

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

   Kaixiang Zhao

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7. ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
   SIGKDD 2025 ·

   Zhan Cheng

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8. BrainMAP: Learning Multiple Activation Pathways in Brain Networks
   AAAI 2025 ·

   Song Wang

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9. CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
   ICLR 2025 ·

   Song Wang

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10. CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
    ICML 2025 ·

    Zebin Wang

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11. Fairness-Aware Graph Learning: A Benchmark
    SIGKDD 2025 · Yushun Dong
12. Few-Shot Graph Out-of-Distribution Detection with LLMs
    ECML-PKDD 2025 ·

    Haoyan Xu

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13. Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
    ICLR 2025 · Yushun Dong
14. Harnessing Large Language Models for Disaster Management: A Survey
    ACL 2025 ·

    Zhenyu Lei

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15. Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
    NeurIPS 2025 ·

    Yinhan He

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16. Learning from Diverse Reasoning Paths with Routing and Collaboration
    EMNLP 2025 ·

    Zhenyu Lei

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17. Navigating Between Explainability and Extractability in Machine Learning as a Service
    ICDM 2025 ·

    Ojas Nimase

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18. PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
    WWW 2025 ·

    Sihan Chen

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19. ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
    AAAI 2025 ·

    Zhenyu Lei

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20. Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
    ICML 2025 ·

    Yinhan He

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21. Adversarial Attacks on Fairness of Graph Neural Networks
    ICLR 2024 ·

    Binchi Zhang

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22. Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
    EMNLP 2024 ·

    Yinhan He

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23. IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
    SIGKDD 2024 · Yushun Dong
24. Knowledge Graph-Enhanced Large Language Models via Path Selection
    ACL 2024 ·

    Haochen Liu

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25. PyGDebias: A Python Library for Debiasing in Graph Learning
    WWW 2024 · Yushun Dong
26. Rethinking Fair Graph Neural Networks from Re-balancing
    SIGKDD 2024 ·

    Zhixun Li

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27. Towards Certified Unlearning for Deep Neural Networks
    ICML 2024 ·

    Binchi Zhang

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