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Dongsheng Luo

20 papers at tracked venues · 17 at CORE A* · active 2024–2026

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Venues

ICLR ×4ICML ×3SIGKDD ×3AAAI ×2ACL ×2WWW ×2CIKM ×1ICDM ×1IJCAI ×1NeurIPS ×1

Frequent coauthors

Xu Zheng
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Zhuomin Chen
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Jiaxing Zhang
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Zichuan Liu
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Xufeng Liu
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ChengAo Shen
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Jingchao Ni
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Hsin-Ling Hsu
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Jun-En Ding
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Guoming Li
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Behzad Ousat
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Rundong Huang
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Papers

  1. Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
    AAAI 2026 ·
    Zhuomin Chen
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  2. 3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors
    SIGKDD 2025 ·
    Xufeng Liu
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  3. Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
    ACL 2025 ·
    ChengAo Shen
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  4. F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
    ICLR 2025 ·
    Xu Zheng
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  5. Harnessing Vision Models for Time Series Analysis: A Survey
    IJCAI 2025 ·
    Jingchao Ni
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  6. Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
    SIGKDD 2025 ·
    Jiaxing Zhang
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  7. MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
    ACL 2025 ·
    Hsin-Ling Hsu
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  8. NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
    ICML 2025 ·
    Jun-En Ding
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  9. Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
    WWW 2025 ·
    Guoming Li
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  10. Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models
    WWW 2024 ·
    Behzad Ousat
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  11. Explaining Time Series via Contrastive and Locally Sparse Perturbations
    ICLR 2024 ·
    Zichuan Liu
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  12. Factorized Explainer for Graph Neural Networks
    AAAI 2024 ·
    Rundong Huang
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  13. Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
    ICML 2024 ·
    Zhuomin Chen
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  14. Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
    SIGKDD 2024 ·
    Tianxiang Zhao
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  15. Parametric Augmentation for Time Series Contrastive Learning
    ICLR 2024 ·
    Xu Zheng
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  16. Rank Supervised Contrastive Learning for Time Series Classification
    ICDM 2024 ·
    Qianying Ren
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  17. RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
    NeurIPS 2024 ·
    Jiaxing Zhang
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  18. Shape-aware Graph Spectral Learning
    CIKM 2024 ·
    Junjie Xu
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  19. TimeX++: Learning Time-Series Explanations with Information Bottleneck
    ICML 2024 ·
    Zichuan Liu
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  20. Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
    ICLR 2024 ·
    Xu Zheng
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