| Academic Programs |
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Scientific research |
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[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> |
