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    Article

    Robust generative adversarial network

    Generative Adversarial Networks (GANs) are one of the most popular and powerful models to learn the complex high dimensional distributions. However, they usually suffer from instability and generalization issu...

    Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin **ao, Yuan He… in Machine Learning (2023)

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    Improving generative adversarial networks with simple latent distributions

    Generative Adversarial Networks (GANs) have drawn great attention recently since they are the powerful models to generate high-quality images. Although GANs have achieved great success, they usually suffer fro...

    Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang… in Neural Computing and Applications (2021)

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    Article

    \(H_{\infty }\) Estimation for Markovian Jump Neural Networks With Quantization, Transmission Delay and Packet Dropout

    This paper is concerned with the problem of robust \(H_{\infty }\) ...

    Guangming Zhuang, Qian Ma, Jianwei **a, Huasheng Zhang in Neural Processing Letters (2016)