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Hao Wang

13 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

AAAI ×3SIGKDD ×2ACM MM ×1CVPR ×1ECCV ×1ECML-PKDD ×1ICCV ×1ICLR ×1SIGMOD ×1VLDB ×1

Frequent coauthors

Xiaoyu Wu
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Hanfei Yu
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Hanxi Guo
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Jinming Hu
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Qingqian Yang
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Fudong Lin
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Huai-An Su
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Haomin Zhuang
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Gang Yan
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Tao Ling
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Peishen Yan
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Papers

  1. Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks
    SIGKDD 2026 ·
    Xiaoyu Wu
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  2. Poisoning with a Pill: Circumventing Detection in Federated Learning
    AAAI 2026 ·
    Hanxi Guo
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  3. Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis]
    SIGMOD 2026 ·
    Jinming Hu
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  4. Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-Wise Gradient Alignment
    ICCV 2025 ·
    Qingqian Yang
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  5. Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
    ECML-PKDD 2025 ·
    Fudong Lin
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  6. WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
    AAAI 2025 ·
    Huai-An Su
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  7. Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
    ICLR 2024 ·
    Haomin Zhuang
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  8. CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
    CVPR 2024 ·
    Xiaoyu Wu
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  9. Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing
    AAAI 2024 ·
    Hanfei Yu
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  10. FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation
    SIGKDD 2024 ·
    Gang Yan
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  11. Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data
    ACM MM 2024 ·
    Tao Ling
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  12. Nitro: Boosting Distributed Reinforcement Learning with Serverless Computing
    VLDB 2024 ·
    Hanfei Yu
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  13. SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks
    ECCV 2024 ·
    Peishen Yan
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