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  1. No Access

    Article

    A zeroing feedback gradient-based neural dynamics model for solving dynamic quadratic programming problems with linear equation constraints in finite time

    Gradient-based neural dynamics (GND) models are a classical algorithm for solving optimization problems, but it has non-negligible flaws in solving dynamic problems. In this study, a novel GND model, namely th...

    Shangfeng Du, Dongyang Fu, Long **, Yang Si… in Neural Computing and Applications (2024)

  2. No Access

    Article

    Geometry-based anisotropy representation learning of concepts for knowledge graph embedding

    The entities in the knowledge graphs are generally categorized into concepts and instances, where each concept is used to represent the abstraction of a set of instances with common properties. Most previous K...

    Jibin Yu, Chunhong Zhang, Zheng Hu, Yang Ji, Dongjun Fu, Xueyu Wang in Applied Intelligence (2023)

  3. No Access

    Article

    Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation

    This paper intends to solve the time-varying Yang-Baxter-like matrix equation (TVYBLME), which is frequently employed in the fields of scientific computing and engineering applications. Due to its critical and...

    Haoen Huang, Zifan Huang, Chaomin Wu, Chengze Jiang… in Neural Processing Letters (2023)

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    Article

    Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization

    The solution of nonlinear optimization is usually encountered in many fields of scientific researches and engineering applications, which spawns a large number of corresponding algorithms to cope with it. Besi...

    Haoen Huang, Dongyang Fu, Guancheng Wang, Long **, Shan Liao… in Numerical Algorithms (2021)

  5. No Access

    Article

    Belief-peaks clustering based on fuzzy label propagation

    For unsupervised learning, we propose a new clustering method which incorporates belief peaks into a linear label propagation strategy. The proposed method aims to reveal the data structure by finding out the ...

    **tao Meng, Dongmei Fu, Yongchuan Tang in Applied Intelligence (2020)

  6. No Access

    Article

    Manifold regularized multiple kernel learning with Hellinger distance

    The aim of this paper is to solve the problem of unsupervised manifold regularization being used under supervised classification circumstance. This paper not only considers that the manifold information of dat...

    Tao Yang, Dongmei Fu, **aogang Li, Kamil Říha in Cluster Computing (2019)

  7. No Access

    Article

    Semi-supervised classification of multiple kernels embedding manifold information

    For semi-supervised learning, we propose the Laplacian embedded multiple kernel regression model. As we incorporate the multiple kernel occasion into manifold regularization framework, the models we proposed a...

    Tao Yang, Dongmei Fu, **aogang Li in Cluster Computing (2017)

  8. No Access

    Article

    Pedestrian tracking for infrared image sequence based on trajectory manifold of spatio-temporal slice

    The research of pedestrian tracking in infrared image sequences is a curial part of video surveillance. Considering the particular characteristics of the infrared image, such as low contrast, fuzzy edge and un...

    Tao Yang, Dongmei Fu, Shu Pan in Multimedia Tools and Applications (2017)