Yang Hua

Venues

Frequent coauthors

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. HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
   SIGKDD 2025 ·

   Jianqing Zhang

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4. Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
   CVPR 2025 ·

   Zhaoyu Zhang

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5. Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
   AISTATS 2025 ·

   Jiaru Zhang

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6. PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
   ICML 2025 ·

   Jianqing Zhang

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7. Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-Wise Gradient Alignment
   ICCV 2025 ·

   Qingqian Yang

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8. Training Diffusion-based Generative Models with Limited Data
   ICML 2025 ·

   Zhaoyu Zhang

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9. An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
   CVPR 2024 ·

   Jianqing Zhang

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10. Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
    ICLR 2024 ·

    Haomin Zhuang

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11. CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
    CVPR 2024 ·

    Xiaoyu Wu

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12. Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing
    AAAI 2024 ·

    Hanfei Yu

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13. FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
    AAAI 2024 ·

    Jianqing Zhang

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14. Improving the Training of the GANs with Limited Data via Dual Adaptive Noise Injection
    ACM MM 2024 ·

    Zhaoyu Zhang

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15. OFL-W3: A One-shot Federated Learning System on Web 3.0
    VLDB 2024 ·

    Linshan Jiang

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16. SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks
    ECCV 2024 ·

    Peishen Yan

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