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    Feature Analysis Network: An Interpretable Idea in Deep Learning

    Deep Learning (DL) stands out as a leading model for processing high-dimensional data, where the nonlinear transformation of hidden layers effectively extracts features. However, these unexplainable features m...

    **nyu Li, **aoguang Gao, Qianglong Wang, Chenfeng Wang, Bo Li in Cognitive Computation (2024)

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    A precise method for RBMs training using phased curricula

    Restricted Boltzmann machines (RBMs) are efficacious undirected neural networks for generating features and reconstructing images. Nevertheless, the classical persistent chain sampling algorithm has the proble...

    Qianglong Wang, **aoguang Gao, **nyu Li, Zijian Hu in Multimedia Tools and Applications (2023)

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    Bioinspired cooperative control method of a pursuer group vs. a faster evader in a limited area

    The problem of a faster evader hunted by Np pursuers in a limited area has been a significant subject in recent years. Nevertheless, it is still challenging to develop a cooperative strategy for pursuers and an e...

    **aowei Fu, Yuxuan Zhang, **dong Zhu, Qianglong Wang in Applied Intelligence (2023)