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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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    High-accuracy DLP 3D printing of closed microfluidic channels based on a mask option strategy

    Microfluidics is a crucial technology in biological and medical fields, and its traditional fabrication methods include soft photolithography poly(dimethyl siloxane) (PDMS) technology and polymethyl methacryla...

    Zhengdong Yu, **angqin Li, Tongxing Zuo in The International Journal of Advanced Manu… (2023)

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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)

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    Explicit 2D topological control using SIMP and MMA in structural topology optimization

    Structural topology can be measured on the basis of its betti numbers. A fundamental feature of structural topology optimization is that it allows the structural topology to be changed during the optimization ...

    Tongxing Zuo, Chong Wang, Haitao Han in Structural and Multidisciplinary Optimizat… (2022)

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    Topological control for 2D minimum compliance topology optimization using SIMP method

    Topological constraints have recently been introduced to structural topology optimization by the BESO method. However, for the classical and widely used SIMP-type optimization method, an implicit and continuou...

    Qianglong Wang, Haitao Han, Chong Wang in Structural and Multidisciplinary Optimizat… (2022)