Huaming Chen

Venues

Frequent coauthors

Papers

1. K&L: Penetrating Backdoor Defense with Key and Locks
   WWW 2026 ·

   Xinyi Wang

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2. Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating
   AAAI 2026 ·

   Huan Wang

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3. Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals
   WWW 2026 ·

   Pengyue Yang

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4. Construction of Domain-Specific Knowledge Graph for Advanced Persistent Threat Behaviour Analysis and Detection
   WWW 2025 ·

   Yitian Yang

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5. DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations
   ICDM 2025 ·

   Qingwen Zeng

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6. FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
   ICCV 2025 ·

   Huan Wang

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7. FedSC: Federated Learning with Semantic-Aware Collaboration
   SIGKDD 2025 ·

   Huan Wang

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8. Improving Adversarial Transferability via Decision Boundary Adaptation
   UAI 2025 ·

   Jiayu Zhang

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9. M-LLM3REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
   CIKM 2025 ·

   Lining Chen

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10. PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-regression AdvGAN
    ECML-PKDD 2025 ·

    Jiayu Zhang

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11. Rethinking Lipschitzness Data-free Backdoor Defense
    CIKM 2025 ·

    Xinyi Wang

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12. Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
    ICML 2025 ·

    Jiayu Zhang

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13. Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
    AAAI 2025 ·

    Haoran Li

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14. AttEXplore: Attribution for Explanation with model parameters eXploration
    ICLR 2024 ·

    Zhiyu Zhu

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15. CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence
    ICDM 2024 ·

    Zao Zhang

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16. Enhancing Model Interpretability with Local Attribution over Global Exploration
    ACM MM 2024 ·

    Zhiyu Zhu

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17. Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
    ICLR 2024 ·

    Zhiyu Zhu

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18. GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
    SDM 2024 ·

    Zhiyu Zhu

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19. Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack
    CIKM 2024 ·

    Xinyi Wang

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20. Iterative Search Attribution for Deep Neural Networks
    ICML 2024 ·

    Zhiyu Zhu

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21. MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks
    AAAI 2024 ·

    Zhiyu Zhu

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22. Trustworthy and Responsible AI for Information and Knowledge Management System
    CIKM 2024 · Huaming Chen