Chen Wensheng
  • Educational level:

  • Professional titles: Professor

  • Telephone:0755-26538946

  • Email:chenws@szu.edu.cn

  • Address:Room 1413, Huixing Building

Educational level Professional titles Professor
Professional titles 0755-26538946 Email chenws@szu.edu.cn
Address Room 1413, Huixing Building Personal Profile
Educational experience Work experience
Research Field Image processing and pattern recognition, kernel machine learning, wavelet analysis and their applications Honors obtained
Academic Programs Scientific research <p>
[1] W.S. Chen,Z.X. Lian,B,B. Pan,B. Chen,Bi-Level Optimization Based Projective Non-Negative Matrix Factorization,International Journal of Wavelets Multiresolution and Information Processing,  2022, Vol.21, No.1, DOI: 10.1142/S0219691322500412  <br>[2] W.S. Chen, H.T. Chen, B.B. Pan, A Novel Enhanced Nonnegative Matrix Factorization Method for Face Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 2022, Vol.36, No.3, 2256006 (24 pages).  <br>[3] W.S. Chen, Q.W. Zeng, B.B. Pan, A Survey of Deep Nonnegative Matrix Factorization, Neurocomputing, 2022, Vol.491, pp.305-320. <br>[4] B.B. Pan, H.Q. Dong,W.S. Chen*,C Xu, Semi-Parametric Clustering: A Robust Alternative to Parametric Clustering, IEEE Transactions on Neural Networks and Learning Systems, Vol.30, Issue.9, Sept, 2583-2597, 2019. (Corresponding author: W.S. Chen) <br>[5] W.S. Chen, J.M. Liu, B.B. Pan, B. Chen, Face Recognition Using Nonnegative Matrix Factorization with Fractional Power Inner Product Kernel, Neurocomputing, Vol.348, pp.40-53, 2019.  <br>[6] W.S. Chen, Q. Wang, B.B. Pan, B. Chen, Nonnegative Matrix Factorization with Manifold Structure for Face Recognition, International Journal of Wavelets, Multiresolution and Information Processing, Vol.17, No.2, 2019. <br>[7] W.S. Chen, J. You, B. Chen, B.B. Pan, etc., A sparse representation and dictionary learning based algorithm for image restoration in the presence of Rician noise, Neurocomputing, Vol.286, pp.130-140, 2018. <br>[8] W.S. Chen, Y.G. Li, B.B. Pan, C. Xu, Fast Non-Negative Matrix Factorizations for Face Recognition, International Journal of Pattern Recognition and Artificial Intelligence, Vol.32, No.4, 2018.  <br>[9] B.B. Pan, W.S. Chen*, B. Chen, C. Xu, JH Lai, Out-of-Sample Extensions for Non-Parametric Kernel Methods, IEEE Transactions on Neural Networks and Learning Systems, Vol.28, No.2, pp.334-345, 2017.   (Corresponding author: W.S. Chen) <br>[10] W.S. Chen, Y. Zhao, B.B. Pan, Bo Chen, Supervised Kernel Nonnegative Matrix Factorization for Face Recognition, Neurocomputing, Vol. 205, 2016, pp.165-181. <br>[11] B.B. Pan, W.S. Chen*, B. Chen, C. Xu, Efficient Learning of Supervised Kernels with a Graph-Based Loss Function,Information Sciences, Vol.370-371, pp.50-62, 2016. (Corresponding author: W.S. Chen) <br>[12] B.B. Pan, W.S. Chen*, B. Chen, C. Xu, A Novel Framework for Learning Geometry-Aware Kernels, IEEE Transactions on Neural Networks and Learning Systems, Vol.27, No.5, MAY 2016, pp.939-951.  (Corresponding author: W.S. Chen) <br>[13] W.S. Chen, X.L. Dai, B.B.Pan, Taiquan Huang, A Novel Discriminant Criterion based on Feature Fusion Strategy for Face Recognition, Neurocomputing, Vol.159, No.1, pp.67-77, 2015.  <br>[14] W.S. Chen, C. Zhang, S.Y. Chen, Geometric Distribution Weight Information Modeled using Radial Basis Function with Fractional Order for Linear Discriminant Analysis Method, Advances in Mathematical Physics, Vol. 2013 (2013), Article ID 825861, 9 pages. <br>[15] W.S. Chen, P.C. Yuen, X.H. Xie, Kernel Machine based Rank-Lifting Regularized Discriminant Analysis Method for Face Recognition, Neurocomputing, Vol.74, Issue 17, 2011, pp.2953-2960. <br>[16] W.S. Chen, P.C. Yuen, B. Fang, Patrick S.P.Wang, Linear and Nonlinear Feature Extraction Approaches for Face Recognition, Book Chapter in “Pattern Recognition, Machine Intelligence and Biometrics”, Patrick S. P. Wang (Ed.), Springer-Verlag Berlin and Jointly published with Higher Education Press, Publication Date:30 September 2011. <br>[17] W.S. Chen, J. Zou, Compatible Wavelet-Galerkin Method to Solve Stokes Interior Problem with Circular Boundary, Applicable Analysis, Vol.87, Issue 7, 2008, pp.755-772.  <br>[18] W.S. Chen, X.G. You, B. Fang, Y.Y. Tang, J. Huang, Wavelet Natural Boundary Element Method for the Neumann Exterior Problem of Stokes Equations, International Journal of Wavelets, Multiresolution and Information Processing, Vol.4, No.1, 2006, pp.23-40. <br>[19] W.S. Chen, C. Xu and W. Lin, Spectral Approximation orders of Multidimensional Nonstationary Biorthogonal Semi-MRAs in Sobolev Space, Journal of Computational Mathematics, Vol.24, No.1, 2006, pp.81-90. <br>[20] W.S. Chen, P.C. Yuen, J. Huang and D.Q. Dai, Kernel Machine-based One-parameter Regularized Fisher Discriminant Method for Face Recognition, IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol.35, No.4, 2005, pp.659-669.  <br>[21] W.S. Chen and W. Lin, Galerkin trigonometric wavelet methods for the natural boundary integral equations, Applied Mathematics and Computation., Vol.121, No.1 (2001), 75-92.<br><br></p>

Personal Profile

Chen Wensheng

Educational experience

Work experience

Research Field

  • Image processing and pattern recognition, kernel machine learning, wavelet analysis and their applications

Honors obtained

Academic Programs

Scientific research

  • [1] W.S. Chen,Z.X. Lian,B,B. Pan,B. Chen,Bi-Level Optimization Based Projective Non-Negative Matrix Factorization,International Journal of Wavelets Multiresolution and Information Processing,  2022, Vol.21, No.1, DOI: 10.1142/S0219691322500412  
    [2] W.S. Chen, H.T. Chen, B.B. Pan, A Novel Enhanced Nonnegative Matrix Factorization Method for Face Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 2022, Vol.36, No.3, 2256006 (24 pages).  
    [3] W.S. Chen, Q.W. Zeng, B.B. Pan, A Survey of Deep Nonnegative Matrix Factorization, Neurocomputing, 2022, Vol.491, pp.305-320.
    [4] B.B. Pan, H.Q. Dong,W.S. Chen*,C Xu, Semi-Parametric Clustering: A Robust Alternative to Parametric Clustering, IEEE Transactions on Neural Networks and Learning Systems, Vol.30, Issue.9, Sept, 2583-2597, 2019. (Corresponding author: W.S. Chen)
    [5] W.S. Chen, J.M. Liu, B.B. Pan, B. Chen, Face Recognition Using Nonnegative Matrix Factorization with Fractional Power Inner Product Kernel, Neurocomputing, Vol.348, pp.40-53, 2019.  
    [6] W.S. Chen, Q. Wang, B.B. Pan, B. Chen, Nonnegative Matrix Factorization with Manifold Structure for Face Recognition, International Journal of Wavelets, Multiresolution and Information Processing, Vol.17, No.2, 2019.
    [7] W.S. Chen, J. You, B. Chen, B.B. Pan, etc., A sparse representation and dictionary learning based algorithm for image restoration in the presence of Rician noise, Neurocomputing, Vol.286, pp.130-140, 2018.
    [8] W.S. Chen, Y.G. Li, B.B. Pan, C. Xu, Fast Non-Negative Matrix Factorizations for Face Recognition, International Journal of Pattern Recognition and Artificial Intelligence, Vol.32, No.4, 2018.  
    [9] B.B. Pan, W.S. Chen*, B. Chen, C. Xu, JH Lai, Out-of-Sample Extensions for Non-Parametric Kernel Methods, IEEE Transactions on Neural Networks and Learning Systems, Vol.28, No.2, pp.334-345, 2017.   (Corresponding author: W.S. Chen)
    [10] W.S. Chen, Y. Zhao, B.B. Pan, Bo Chen, Supervised Kernel Nonnegative Matrix Factorization for Face Recognition, Neurocomputing, Vol. 205, 2016, pp.165-181.
    [11] B.B. Pan, W.S. Chen*, B. Chen, C. Xu, Efficient Learning of Supervised Kernels with a Graph-Based Loss Function,Information Sciences, Vol.370-371, pp.50-62, 2016. (Corresponding author: W.S. Chen)
    [12] B.B. Pan, W.S. Chen*, B. Chen, C. Xu, A Novel Framework for Learning Geometry-Aware Kernels, IEEE Transactions on Neural Networks and Learning Systems, Vol.27, No.5, MAY 2016, pp.939-951.  (Corresponding author: W.S. Chen)
    [13] W.S. Chen, X.L. Dai, B.B.Pan, Taiquan Huang, A Novel Discriminant Criterion based on Feature Fusion Strategy for Face Recognition, Neurocomputing, Vol.159, No.1, pp.67-77, 2015.  
    [14] W.S. Chen, C. Zhang, S.Y. Chen, Geometric Distribution Weight Information Modeled using Radial Basis Function with Fractional Order for Linear Discriminant Analysis Method, Advances in Mathematical Physics, Vol. 2013 (2013), Article ID 825861, 9 pages.
    [15] W.S. Chen, P.C. Yuen, X.H. Xie, Kernel Machine based Rank-Lifting Regularized Discriminant Analysis Method for Face Recognition, Neurocomputing, Vol.74, Issue 17, 2011, pp.2953-2960.
    [16] W.S. Chen, P.C. Yuen, B. Fang, Patrick S.P.Wang, Linear and Nonlinear Feature Extraction Approaches for Face Recognition, Book Chapter in “Pattern Recognition, Machine Intelligence and Biometrics”, Patrick S. P. Wang (Ed.), Springer-Verlag Berlin and Jointly published with Higher Education Press, Publication Date:30 September 2011.
    [17] W.S. Chen, J. Zou, Compatible Wavelet-Galerkin Method to Solve Stokes Interior Problem with Circular Boundary, Applicable Analysis, Vol.87, Issue 7, 2008, pp.755-772.  
    [18] W.S. Chen, X.G. You, B. Fang, Y.Y. Tang, J. Huang, Wavelet Natural Boundary Element Method for the Neumann Exterior Problem of Stokes Equations, International Journal of Wavelets, Multiresolution and Information Processing, Vol.4, No.1, 2006, pp.23-40.
    [19] W.S. Chen, C. Xu and W. Lin, Spectral Approximation orders of Multidimensional Nonstationary Biorthogonal Semi-MRAs in Sobolev Space, Journal of Computational Mathematics, Vol.24, No.1, 2006, pp.81-90.
    [20] W.S. Chen, P.C. Yuen, J. Huang and D.Q. Dai, Kernel Machine-based One-parameter Regularized Fisher Discriminant Method for Face Recognition, IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol.35, No.4, 2005, pp.659-669.  
    [21] W.S. Chen and W. Lin, Galerkin trigonometric wavelet methods for the natural boundary integral equations, Applied Mathematics and Computation., Vol.121, No.1 (2001), 75-92.