Books/Journals/Conferences
Publications:
Books
-
W. Ching and M. Ng, Basic Elements and Models of Management Mathematics,
GBS Publishers (2007), 230 pages
-
T. Park, S. Tsui, L. Chen, M. Ng, L. Wong, X. Hu: 2010 IEEE International Conference on
Bioinformatics and Biomedicine, BIBM 2010, Hong Kong, China, 18 - 21 December 2010,
Proceedings IEEE Computer Society 2010 [ISBN 978-1-4244-8305-1]
-
W. Liu, M. Ng and Z. Shi, Recent Progress in Scientific Computing,
Science Press (2007), 401 pages [ISBN 978-7-03-019043-7]
-
W. Ching and M. Ng, Markov Chains: Models, Algorithms and Applications,
International Series on Operations Research and Management Science, Springer
(2006), 205 pages [ISBN 0-387-29335-3]
-
M. Ng, A. Doncescu, L. Yang and T. Leng, High Performance Computational
Science and Engineering, IFIP TC5 Workshop on High Performance Computational
Science and Engineering, Springer (2005), 238 pages [ISBN 0-387-24048-9]
-
M. Ng, Iterative Methods for Toeplitz Systems, Oxford University Press
(2004), 360 pages [ISBN 0-19-850420-9]
-
W. Ching and M. Ng, Advances in Data Mining and Modeling, World Scientific
Press (2003), 181 pages. ISBN 981-238-354-9.
-
J. Fong and M. Ng, The Fifth Pacific-Asia Conference on Knowledge Discovery
and Data Mining, Industrial Track and Workshops Proceeding, Printed by
the the City University of Hong Kong, 2001. ISBN 962-442-187-0.
Special Issues (Guest Editor)
- Numerical Linear Algebra with Applications: The Special Issue
for Dedication to Robert J. Plemmons, 2015.
- Numerical Linear Algebra with Applications: The Special Issue
of the Spectral Theory of Tensors and Its Applications,
Volume 20(6), 2013.
- IEEE/ACM Transactions on Computational Biology and Bioinformatics:
Guest Editorial: Bioinformatics and Computational Systems Biology,
Volume 9(4), pp. 945-946, 2012.
- Numerical Linear Algebra with Applications: The Special Issue
for the 3rd International Conference on Structured Matrices and Tensors,
Volume 19(1), 2012.
- Journal of Computational Mathematics: The Special Issue for Joint
China-Russia Conference on Computational Mathematics, Volumes 29(6)
2011, and
30(1), 2012.
- Numerical Mathematics: Theory, Methods and Applications: Special Issue for Image Processing and
Numerical Linear Algebra, Volume 2, No. 4, 2009
- Linear Algebra and Its Applications: The Special Issue on Structured Matrices,
Volume 428, Issues 2+3, 2008
- Multidimensional Systems and Signal Processing: Special Issue on Superresolution Imaging:
Theory, Algorithms and Applications, Volume 18, Number 2/3, 2007
- Journal of Computational Mathematics: The Summer Workshop on Numerical Linear Algebra (2005),
Volume 25, Number 5, 2007
- EURASIP Journal on Advances in Signal Processing: Super-Resolution Imaging: Analysis, Algorithms
and Applications, Volume 2006, 2006
- Numerical Linear Algebra with Applications: Special Issue: Structured Matrices with Applications,
Volume 12, Issue No. 2-3, 2005
- International Journal of Imaging Systems and Technology: The Special Issue:
High-Resolution Imaging Reconstruction I and II,
Volume 14, Nos. 2 and 3, 2004
- International Journal of Applied Mathematics: ``OR and Models'',
Volume 13, No. 1, 2003
Journals
(Numerical Linear Algebra):
-
X. Zhang and M. Ng,
A Fast Algorithm for Solving
Linear Inverse Problems with Uniform Noise Removal,
Journal of Scientific Computing
-
Z. Fang, M. Ng, H. Sun, Z. Chen,
Circulant Preconditioners for a
Kind of Spatial Fractional Diffusion Equation,
Numerical Algorithms
-
Z. Jia, M. Ng and G. Song, Lanczos Method for Large-Scale
Quaternion Singular Value Decomposition,
Numerical Algorithms
-
X. Lin, M. Ng and H. Sun,
A Separable Preconditioner for Time-Space
Fractional Caputo-Riesz Diffusion Equations,
Numer. Math. Theor. Meth. Appl.
-
J. Pan and M. Ng,
Symmetric Orthogonal
Approximation to Symmetric Tensors with Applications to Image
Reconstruction,
Numerical Linear Algebra with Applications
-
J. Pan and M. Ng,
Orthogonal Nonnegative Matrix Factorization by Sparsity and
Nuclear Norm Optimization,
SIAM Journal on Matrix Analysis and Applications, V39 (2018), pp. 856-875
-
D. Liu, W. Li, M. Ng and S. Vong,
Uniqueness and Perturbation Bounds for Sparse Non-negative Tensor
Equations, Frontiers of Mathematics in China
-
M. Ng and Z. Zhu,
Sparse Matrix
Computation for Air Quality Forecast Data Assimilation,
Numerical Algorithms
-
X. Lin, M. Ng and H. Sun,
Efficient Preconditioner of One-sided Space Fractional Diffusion Equation,
BIT Numerical Mathematics
-
W. Ding, M. Ng and Y. Wei,
Fast Computation of Stationary Joint Probability Distribution of Sparse
Markov Chains,
Applied Numerical Mathematics, V125 (2018), pp. 68-85
-
X. Lin, M. Ng and H. Sun, A Splitting Preconditioner for Toeplitz-Like
Linear Systems
Arising from Fractional Diffusion Equations,
SIAM Journal on Matrix Analysis and Applications,
V38 (2017), pp. 1580-1614
-
W. Li, D. Liu, M. Ng, S. Vong,
The Bounds for Uniqueness of Multilinear PageRank Vector,
Numerical Linear Algebra with Applications
-
X. Lin, M. Ng and H. Sun,
A Multigrid Method for Linear Systems
Arising from Time-Dependent Two-Dimensional Space-Fractional Diffusion
Equations,
Journal of Computational Physics, V336 (2017), pp. 69-86
-
V. Rao, A. Sandu, M. Ng and E. Nino-Ruiz,
Robust Data Assimilation Using L1 and Huber Norms,
SIAM Journal on Scientific Computing, V39 (2017), pp. 548-570
-
H. Fu, M. Mg and H. Wang,
A Divide-and-conquer Fast Finite
Fifference Method for Space-time Fractional
Partial Differential Equation,
Computers
and Mathematics with Applications, V73 (2017), pp. 1233-1242
-
C. Chuan, M. Ng and S. Zhang,
Block Spectral Clustering
Methods for Multiple Graphs,
Numerical
Linear Algebra with Applications, V24 (2017)
-
J. Pan, M. Ng and H. Wang,
Fast Preconditioned Iterative
Methods for Finite Volume Discretization of Steady-State Space-fractional
Diffusion
Equations, Numerical Algorithms, V74 (2017), pp. 153-173
-
R. Ke, W. Li and M. Ng,
Numerical Ranges of Tensors,
Linear Algebra and its Applications, V508 (2016), pp. 100-132
-
J. Pan, M. Ng and H. Wang,
Fast Iterative Solvers for Linear Systems Arising from
Time-Dependent Space-Fractional Diffusion Equations,
SIAM Journal on Scientific Computing, V38 (2016), pp. 2806-2826
-
X. Zhang, L. Cheng, D. Chu, L. Liao, M. Ng and
R. Tan, Incremental Regularized Least Squares for Dimensionality
Reduction of Large-scale Data,
SIAM Journal on
Scientific Computing, V38 (2016), pp. 414-439
-
L. Cui, C. Chen, W. Li and M. Ng,
An Eigenvalue Problem for Even Order Tensors with its Applications,
Linear and Multilinear Algebra, V64 (2016)
-
C. Chen, X. Li, M. Ng and X. Yuan,
Total
Variation Based Tensor Decomposition for Multi-Dimensional Data with
Time Dimension, Numerical Linear Algebra with Applications, V22 (2015),
pp. 999-1019
-
L. Cui, W. Li and M. Ng,
Primitive Tensors and Directed
Hypergraphs,
Linear Algebra and its
Applications, V471 (2015), pp. 96-108
-
W. Li and M. Ng,
The Perturbation Bound for the Spectral
Radius of a Nonnegative Tensor,
Advances in Numerical Analysis, Volume 2014 (2014), Article ID 109525
-
W. Li and M. Ng,
Some Bounds for the Spectral Radius of Nonnegative Tensors,
Numerische Mathematik, V130 (2015), pp. 315-335
-
X. Li and M. Ng,
Solving Sparse Non-Negative Tensor Equations: Algorithms and Applications,
Frontiers of Mathematics in China,
V10 (2015), pp. 649-680
- Q. Niu and M. Ng,
Numerical Studies of a Class of Composite
Preconditioners,
Journal of Computational Mathematics, V32 (2014), pp. 136-151
-
J. Pan, R. Ke, M. Ng and H. Sun,
Preconditioning Techniques for Diagonal-Times-Toeplitz Matrices in
Fractional Diffusion Equations, SIAM Journal on
Scientific Computing,
V36 (2014), pp. 2698-2719
-
L. Cui, W. Li and M, Ng,
Birkhoff-von Neumann Theorem for Multi-Stochastic Tensors,
SIAM Journal on
Matrix Analysis and Applications, V35 (2014), pp. 956-973
- X. Chen, W. Li and M. Ng,
On Condition Numbers of the Spectral Projections Associated with Periodic
Eigenproblems,
Journal of Computational and Applied Mathematics,
V272 (2014), pp. 417-429
- W. Li, L. Cui and M. Ng, The
Perturbation Bound
for the Perron Vector of a Transition Probability
Tensor, Numerical Linear Algebra with Applications,
V20 (2013), pp. 985-1000
- W. Li and M. Ng, On the Limiting Probability Distribution of a
Transition Probability Tensor, Linear and
Multilinear Algebra, V62 (2014), pp. 362-385
-
D. Chu, L. Liao and M. Ng,
Sparse Orthogonal Linear
Discriminant Analysis, SIAM Journal on
Scientific Computing, V34 (2012), pp. 2421-2443
-
W. Li, M. Ng and L. Cui,
On Computation of the Steady-State Probability Distribution of
Probabilistic Boolean Networks with Gene Perturbation,
Journal of Computational and Applied Mathematics, V236 (2012), pp.
4067-4081
-
X. Chen, W. Li and M. Ng, Perturbation Analysis for Anti-triangular Schur
Decomposition,
SIAM Journal on
Matrix Analysis and Applications, V33 (2012), pp. 325-335
-
G. Yin, J. Yin and M. Ng,
On Adaptively
Accelerated Arnoldi Method for Computing PageRank,
Numerical Linear Algebra with Applications, V19 (2012), pp. 73-85
-
L. Zhang, L. Liao and M. Ng, Superlinear Convergence of a General Algorithm for the Generalized
Foley-Sammon Discriminant Analysis,
Journal of Optimization Theory and Applications, V157 (2013), pp. 853-865
-
Y. Wen, W. Ching and M. Ng,
Approximate Inverse-Free Preconditioners for Toeplitz Matrices,
Applied Mathematics and Computation,
V217 (2011), pp. 6856-6867
-
N. Mastronardi,
M. Ng,
E. Tyrtyshnikov,
Decay in Functions of Multi-band Matrices,
SIAM Journal on
Matrix Analysis and Applications, V31 (2010), pp. 2721-2737
-
M. Ng and J. Pan,
Approximate Inverse Circulant-plus-Diagonal Preconditioners for
Toeplitz-plus-Diagonal Matrices,
SIAM Journal on Scientific Computing, V32 (2010), pp. 1442-1464
-
Y. Huang and M. Ng,
Product-Type Block Preconditioners for Electromagnetic Cavity Problems,
Applied Mathematics and Computation, V216 (2010), pp. 1741-1751
-
L. Zhang, L. Liao and M. Ng,
Fast Algorithms for the Generalized Foley-Sammon
Discriminant Analysis, SIAM Journal
on Matrix Analysis and Applications, V31 (2010), pp. 1584-1605
-
F. Lin and M. Ng,
Inverse Product Toeplitz Preconditioners for non-Hermitian
Toeplitz Systems, Numerical Algorithms, V54 (2010), pp. 279-295
-
M. Ng, L. Qi and G. Zhou,
Finding the Largest Eigenvalue of a Non-Negative Tensor,
SIAM Journal
on Matrix Analysis and Applications, V31 (2009), pp. 1090-1099
-
Z. Bai, M. Ng and Z. Wang,
Constraint Preconditioners for Symmetric Indefinite Matrices,
SIAM Journal
on Matrix Analysis and Applications, V31 (2009), pp. 410-433
-
L. Chan, M. Ng and N. Tsing,
Spectral Analysis for HSS Preconditioners,
Numerical Mathematics: Theory,
Methods and Applications, V1 (2008), pp. 57-77
-
W. Ching, M. Ng and E. Fung,
Higher-order Multivariate Markov Chains and
their Applications,
Linear Algebra and Its Applications, V428 (2008), pp. 492-507
-
Z. Bai, G. Golub and M. Ng, On Inexact Hermitian
and
Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite
Linear
Systems,
Linear Algebra and Its Applications,
V428 (2008),
pp. 413-440
-
W. Ching, M. Ng and W. Youwei, Block Diagonal and Schur Complement
Preconditioners for Block Toeplitz
Systems with Small Size Blocks,
SIAM Journal
on Matrix Analysis and Applications, V29 (2007), pp. 1101-1119
-
Y. Wei, N. Zhang, M. Ng and W. Xu, Tikhonov Regularization for Weighted
Total Least Squares Problems, Applied Mathematics Letters,
V20 (2007), pp. 82-87
-
L. Lu and M. Ng, Maximum Inverse Positive Matrices, Applied Mathematics
Letters, V20 (2007), pp. 65-69
-
Z. Bai, G. Golub and M. Ng, On Successive-Overrelaxation Acceleration of
the Hermitian and Skew-Hermitian Splitting Iterations, Numerical Linear
Algebra with Applications, V14 (2007), pp. 319-335
-
M. Benzi and M. Ng, Preconditioned Iterative Methods for Weighted Toeplitz
Least Squares Problems, SIAM J. Matrix Analysis and Applications, V27
(2006),
pp. 1106-1124
-
J. Cai, M. Ng and Y. Wei, Computing the Group Inverse of Singular Toeplitz
Matrix, Journal of Computational Mathematics,
V24 (2006), pp. 647-656
-
J. Pan, M. Ng and Z. Bai, New Preconditioners for Saddle Point Problems,
Applied Mathematics and Computation, V172 (2006), pp. 762-771
-
W. Ching, M. Ng and W. Yuen, A Direct Method for Solving Block-Toeplitz
with Near-Circulant-Block Systems with Applications to Hybrid Manufacturing
Systems, Numerical Linear Algebra with Applications, V12 (2005), pp. 957-966
-
L. Lu and M. Ng, Effects of a Parameter on a Nonsymmetric Algebraic Riccati
Equation, Applied Mathematics and Computation, V172 (2006), pp. 753-761
-
M. Ho and M. Ng, Splitting Iterations for Circulant-plus-diagonal Systems,
Numerical Linear Algebra with Applications, V12 (2005), pp. 779-792
-
Y. Wei, H. Diao and M. Ng, On Drazin Inverse of Singular Toeplitz Matrix,
Applied Mathematics and Computation, V172 (2006), pp. 809-817
-
Z. Bai and M. Ng, On Inexact Preconditioners for Nonsymmetric Matrices,
SIAM Journal on Scientific Computing, V26 (2005), pp. 1710-1724
-
A. Ho and M .Ng, Iterative Methods for Robbins Problems, Applied Mathematics
and Computation, V165 (2005), pp. 103-125
-
M. He, L. Lu and M. Ng, Toeplitz and Positive Semidefinite Complete Problem
for Cycle Graph, Numer. Math., J. Chinese Univs., V14 (2005), pp.
67-78
-
M. Ng, S. Serra and C. Tablino-Possio, Multigrid Methods for Symmetric
Sinc-Galerkin Systems, Numerical Linear Algebra with Applications, V12
(2005), pp. 261-269
-
F. Lin, M. Ng and W. Ching, Factorized Banded Inverse Preconditioners
for Matrices with Toeplitz Structure, SIAM Journal on Scientific Computing,
V26 (2005) pp. 1852-1870
-
Y. Wei and M. Ng, Displacement Structure of Group Inverses, Numerical Linear
Algebra with Applications, V12 (2005), pp. 103-110
-
M. Ng, Stefano Serra-Capizzano and Cristina Tablino-Possio, Multigrid Preconditioners
for Symmetric Sinc Systems, ANZIAM J. V45(E), 2004, pp. 857-869
-
Y. Wen, M. Ng, W. Ching, H. Liu, A Note on the Stability of Toeplitz Matrix
Inversion Formulas, Applied Mathematics Letter, V17 (2004), pp. 903-907
-
W. Ching, W. Yuen and M. Ng, A Hybrid Algorithm for Queueing Systems, CALCOLO,
V41 (2004), pp. 139-151
-
L. Lu, W. Ching and M. Ng, Exact Algorithms for Singular Tridiagonal Systems
with Applications to Markov Chains, Applied Mathematics and Computation,
V159 (2004) pp. 275-289
-
L. Lu and M. Ng, Localization of Perron Roots, Linear Algebra and its Applications,
V392 (2004), pp. 103-117
-
L. Lu and M. Ng, On Sufficient and Necessary Conditions for the Jacobi
Matrix Inverse Eigenvalue Problem, Numer. Math., V98 (2004), pp. 167-176
-
Y. Wei and M. Ng, Weighted Tikhonov Filter Matrices for Ill-Posed Problems,
Applied Mathematics and Computation, V149 (2004), pp. 411-422
-
Y. Wei, J. Cai and M. Ng, Computing Moore-Penrose Inverses of Toeplitz
Matrices by Newton's Iteration, Mathematical and Computer Modeling, V40
(2004), pp. 181-191
-
L. Lu and M. Ng, Symmetric Versions of Sign-Function Algoriothm for Discrete-time
Algebraic Riccati Equations, International Journal of Applied Mathematics,
V13 (2003), pp. 100-119
-
F. Lin, W. Ching and M. Ng, Accurate and Fast Inversion Methods for Triangular
Toeplitz Matrices, Theoretical Computer Science, V43 (2003), pp. 901-914
-
F. Lin, W. Ching and M. Ng, Discrete Wavelet Transforms for Toeplitz Matrices,
Linear Algebra Appls., V370 (2003), pp. 269-285
-
Z. Bai, G. Golub and M. Ng, Hermitian and Skew-Hermitian Splitting Methods
for Non-Hermitian Positive Definite Linear Systems, SIAM Journal on Matrix
Analysis and Applications, V24 (2003), pp. 603-626
-
M. Ng, X. Jin and H. Sun, Recursive-Based PCG Methods for Toeplitz Systems
with Nonnegative Generating Functions, SIAM Journal on Scientific Computing,
V24 (2003), pp. 1507-1529
-
M. Ng, Circulant and Skew-Circulant Splitting Methods for Toeplitz Systems,
Journal of Computational Applied Math., V159 (2003), pp. 101-108
-
Y. Wen, W. Ching and M. Ng, Explicit Preconditioners for Toeplitz Systems,
International Journal of Applied Mathematics, V13 (2003), pp. 72-83
-
Z. Bai and M. Ng, Preconditioners for Nonsymmetric Block-Toeplitz-Like-Plus-Diagonal
Linear System, Numer. Math., V96 (2003), pp. 197-220
-
M. Ng and Z. Bai, A Hybrid Preconditioner of Banded Matrix Approximation
and Alternating Direction Implicit Iteration for Symmetric Sinc-Galerkin
Linear Systems, Linear Algebra Appls., V366 (2003), pp. 317-335
-
M. Ng and D. Potts, Fast Iterative Methods for Sinc Systems, SIAM Journal
on Matrix Analysis and Applications, V24 (2003), pp. 581-598
-
M. Ng, K. Rost and Y. Wen, On Inversion of Toeplitz Matrices, Linear Alg.
and Applications, V348 (2002), pp. 145-151
-
R. Chan, M. Ng and A. Yip, The Best Circulant Preconditioners for Hermitian
Toeplitz Systems II: The Multiple-Zero Case, Numer. Math., V92 (2002),
pp. 17-40
-
M. Ng and D. Potts, Circulant Preconditioners for Indefinite Toeplitz Systems,
BIT, V41 (2001), pp. 1079-1088
-
R. Chan, A. Yip and M. Ng, The Best Circulant Preconditioners for Hermitian
Toeplitz Matrices, SIAM Journal on Numerical Analysis, V38 (2001), pp.
876-896
-
M. Ng, Preconditioned Lanczos Methods for the Minimum Eigenvalue of a Symmetric
Positive Definite Toeplitz Matrix, SIAM Journal on Scientific Computing,
V21 (2000), pp. 1973-1986
-
T. Chan and M. Ng, Galerkin Projection Methods for Solving Multiple Linear
Systems, SIAM Journal on Scientific Computing, V21 (2000), pp. 836-850
-
M. Ng, Fast Iterative Methods for Symmetric Sinc-Galerkin Systems, IMA
Journal of Numerical Analysis, V19 (1999), pp. 357-373
-
H. Chan, M. Ng and R. Chan, Band Toeplitz Preconditioners for Toeplitz
Systems with Rational Generating Functions, The Bulletin of Hong Kong Mathematical
Society, V1 (1997), pp. 67-86
-
M. Ng, Band Preconditioners for Block-Toeplitz-Toeplitz-Block Systems,
Linear Algebra and its Applications, V259 (1997), pp. 307-327
-
R. Chan and M. Ng, Scientific Applications of Iterative Toeplitz Solvers,
CALCOLO, V33 (1996), pp. 249-267
-
R. Chan and M. Ng, Conjugate Gradient Methods for Toeplitz Systems, SIAM
Review, V38 (1996), pp. 427-482
-
R. Chan, C. Wong and M. Ng, Sine-transform Based Preconditioners For Symmetric
Toeplitz Systems, Linear Algebra and its Applications, V232 (1996), pp.
237-259
-
R. Chan and M. Ng, Toeplitz Preconditioners for Hermitian Toeplitz Systems,
Linear Algebra and its Applications, V190 (1993), pp. 181-208
-
R. Chan and M. Ng, Fast Iterative Solver for Toeplitz-plus-Band Systems,
SIAM Journal on Scientific Computing, V14 (1993), pp. 1013-1019
(Signal and Image Processing):
-
F. Li and M. Ng,
Image Colorization by Using Graph BiLaplacian,
Advances in Computational Mathematics
-
Z. Jin, L. Min, M. Ng and M. Zheng,
Image Colorization by Fusion of Color Transfers based on DFT and Variance
Features, Computers and Mathematics with Applications
-
W. Wang, N. Sun and M. Ng,
A Variational Gamma Correction Model for Image Contrast Enhancement,
Inverse Problems and Imaging
-
Y. Wen, H. Sun and M. Ng,
A Primal-Dual Method for Meyer
Model of Cartoon and Texture Decomposition,
Numerical Linear Algebra with Applications
-
M. Cheng, J. Ling and M. Ng,
Tensor-based Low-dimensional
Representation Learning for Multi-view Clustering,
IEEE Transactions on Image Processing
-
G. Cheung, E. Magli, Y. Tanaka and M. Ng,
Graphs Spectral Image Processing,
Proceedings of the IEEE, V106 (2018), pp. 907-930
-
C. Liu, M. Ng, T. Zeng,
Weighted Variational Model for Selective Image
Segmentation with Application to Medical Images,
Pattern Recognition, V76 (2018), pp. 367-379
-
X. Zhang, M. Bai and M. Ng, A Fast Algorithm for Deconvolution
and Poisson Noise Removal, Journal of Scientific Computing, V75 (2018),
pp. 1535-1554
-
Y. Wen, W. Ching and M. Ng,
A Semi-Smooth Newton Method for
Inverse Problem with Uniform Noise, Journal of Scientific
Computing, V75 (2018), pp. 713-732
-
M. Ng, H. Ngan, X. Yuan and W. Zhang,
Lattice-based Patterned Fabric Inspection by Using Total
Variation with Sparsity and Low-Rank Representations,
SIAM Journal on Imaging Sciences, V10 (2017), pp. 2140-2164
-
X. Li, M. Ng, Y. Ye, E. Wang and X. Xu,
Block Linear Discriminant Analysis for Visual Tensor Objects with
Frequency or Time Information,
Journal of Visual Communication and Image Representation,
V49 (2017), pp. 38-46
-
L. Jing, C. Shen, L. Yang, J. Yu and M. Ng,
Multi-label Classification by Semi-supervised Singular
Value Decomposition, IEEE Transactions on Image Processing,
V26 (2017), pp. 4612-4625
-
X. Zhang, M. Bai and M. Ng,
Nonconvex-TV Based Image Restoration with Impulse Noise
Removal, SIAM Journal on Imaging Sciences, V10 (2017), pp. 1627-1667
-
W. Wei, X. Zhao and M. Ng,
A Variational Approach for
Restoring Images Corrupted by Noisy Blur Kernels and Additive Noise,
Numerical Linear Algebra with Applications,
-
M. Ng, Q. Yuan, L. Yan and J. Sun,
An Adaptive Weighted Tensor Completion Method for the
Recovery of Remote Sensing Images With Missing Data,
IEEE Transactions on Geoscience and Remote Sensing,
V55 (2017), pp. 3367-3381
-
X. Zhang, B. Javidi, M. Ng,
Automatic Regularization Parameter Selection by Generalized
Cross-validation
for Total Variational Poisson Noise Removal, Applied Optics, V56 (2017),
pp. D47-D51
-
L. Pi, W. Wang and M. Ng,
A Spatially Variant Total Variational Model for Chromatic Aberration
Correction, Journal of Visual Communication and Image Representation,
V41 (2016), pp. 296-304
-
H. Chang, Y. Lou, M. Ng and T. Zeng,
Phase Retrieval from Incomplete Magnitude Information via
Total Variation Regularization,
SIAM Journal on Scientific Computing, V38 (2016), pp. 3672-3695
-
W. Wei and M. Ng,
Convex Regularized Inverse
Filtering Methods for Blind Image Deconvolution,
Signal, Image and Video Processing, V10 (2016), pp. 1353-1360
-
W. Fan, X. Zhao and M. Ng,
Multiplicative Noise and Blur Removal by Framelet
Decomposition and l1-based L-curve Method,
IEEE Transactions on Image Processing, V25 (2016), pp. 4222-4232
-
L. Yang, M. Ng, J. Yu and L. Jing,
A Discriminative and Sparse Topic Model for Image Classification and
Annotation, Image and Vision Computing,
V51 (2016), pp. 22-35
-
Z. Jin, C. Zhou and M. Ng,
A Coupled Total Variation Model with Curvature Driven for Image
Colorization, Inverse Problems and Imaging, V10 (2016), pp. 1037-1055
-
X. Li, M. Ng and Y. Ye,
MultiVCRank with Applications to Image Retrieval,
IEEE Transactions on Image Processing, V25 (2016), pp. 1396-1409
-
W. Wang, C. Chen and M. Ng,
An Image Pixel Based Variational Model for Histogram Equalization,
Journal of Visual Communication and Image Representation,
V34 (2016), pp. 118-134
-
L. Yang, L. Jing and M. Ng,
Robust and Non-Negative Collective Matrix
Factorization for Text-to-Image Transfer Learning,
IEEE Transactions on Image Processing, V24 (2015), pp. 4701-4714
-
X. Li, M. Ng and X. Yuan,
Median Filtering Based Methods
for Static Background Extraction from Surveillance Video,
Numerical Linear Algebra with Applications, V22 (2015), pp. 845-865
-
W. Wang, X. Zhao and M. Ng,
A Cartoon-plus-Texture Image
Decomposition Model for Blind Deconvolution,
Multidimensional Systems and Signal Processing, V27 (2016), pp. 541-562
-
J. Xiao, M. Ng and Y. Yang
On the Convergence of Nonconvex Minimization Methods for Image Recovery,
IEEE Transactions on Image Processing, V24 (2015), pp. 1587-1598
-
H. Chang, M. Ng, W. Wang, T. Zeng,
Retinex Image Enhancement via a Learned Dictionary,
Optical Engineering,
54(1) (2015), 013107
-
M. Qiao and M. Ng,
Tone Mapping for
High Dynamic Range Images Using Localized Gamma Correction,
Journal of Electronic Imaging, V24 (2015), 013010
-
C. Chen, M. Ng and X. Zhao, Alternating Direction Method of Multipliers
for Nonlinear Image Restoration
Problems, IEEE Transactions on Image Processing, V24 (2015), pp. 33-43
-
Z. Jin and M. Ng, A Contrast Maximization Method
for Color-to-Grayscale Conversion,
Multidimensional Systems and Signal Processing,
V26 (2015), pp. 869-877
-
M. Ng, H. Ngan, X. Yuan and W. Zhang,
Patterned Fabric Inspection and Visualization
by the Method of Image Decomposition,
IEEE Transactions on
Automation Science and Engineering, V11 (2014), pp. 943-947
- W. Wang and M. Ng, A Nonlocal Total Variation Model for Image Decomposition: Illumination and Reflectance,
Numerical Mathematics: Theory , Methods and
Applications, V7 (2014), pp. 334-355
- Z. Jin, F. Li and M. Ng,
A Variational Approach for Image Decolorization By Variance Maximization,
SIAM Journal on Imaging Sciences, V7 (2014), pp. 944-968
-
M. Ng and J. Pan,
Weighted Toeplitz Regularized Least Squares Computation
for Image Restoration, SIAM Journal on Scientific Computing,
V36 (2014), pp. 94-121
-
L. Jing and M. Ng, Sparse Label-Indicator Optimization Methods for Image
Classification, IEEE Transactions on Image Processing,
V23 (2014), pp. 1002-1014
-
X. Zhao, F. Wang and M. Ng, A New Convex Optimization Model for
Multiplicative Noise and Blur Removal,
SIAM Journal on Imaging Sciences, V7 (2014), pp. 456-475
-
H. Chang, M. Ng and T. Zeng,
Reducing Artifact in JPEG Decompression via a Learned Dictionary,
IEEE Transactions on Signal Processing, V62 (2014), pp. 718-728
-
M. Qiao, W. Wang, M. Ng,
Multiphase Texture Segmentation Using Gabor
Features Histograms Based on Wasserstein Distance,
Communications in Computational Physics,
V15 (2014), pp. 1480-1500.
- X. Zhao, W. Wang, T. Zeng, T. Huang and M. Ng,
Total Variation Structured Total Least Squares Method for
Image Restoration, SIAM Journal on Scientific Computing,
V35 (2013), pp. 94-121
-
W. Wang and M. Ng,
A Variational Histogram Equalization Method for Image Contrast
Enhancement,
SIAM Journal on Imaging Sciences, V6 (2013), pp. 1345-1366
-
M. Ng, C. Tam and F. Wang,
Multi-view Foreground Segmentation via Fourth Order Tensor
Learning, Inverse Problems and Imaging, V7 (2013), pp. 885-906
-
M. Ng and W. Wang
A Variational Approach for Image Stitching II: Using Image Gradients,
SIAM Journal on Imaging Sciences, V6 (2013), pp. 1345-1366
-
W. Wang and M. Ng,
A Variational Approach for Image Stitching,
SIAM Journal on Imaging Sciences, V6 (2013), pp. 1318-1344
-
L. Ma, M. Ng, J. Yu and T. Zeng,
Efficient Box-Constrained TV-Type-L22 Algorithms for Restoring
Images
with
Impulse Noise,
Journal of Computational Mathematics, V31 (2013), pp. 249-270
- M. Ng, X. Yuan and W. Zhang,
A Coupled Variational Image
Decomposition and Restoration Model for
Blurred Cartoon-plus-Texture Images with Missing Pixels,
IEEE Transactions on Image Processing, V22 (2013), pp. 2233-2246
- X. Zhao, F. Wang, T. Huang, M. Ng and R. Plemmons, Deblurring and
Sparse Unmixing For Hyperspectral Images,
IEEE Transactions on Geoscience and Remote Sensing, V51 (2013), pp.
4045-4058
-
M. Nikolova, M. Ng and C. Tam,
On l_1 Data Fitting and Concave Regularization for Image Recovery,
SIAM Journal on Scientific Computing, V35 (2013), pp. 397-430
-
X. Chen, M. Ng and C. Zhang,
Non-Lipschitz l_p-regularization and Box Constrained Model for
Image Restoration,
IEEE Transactions on Image Processing, V21 (2012), pp. 4709-4720
-
L. Jing, C. Zhang and M. Ng,
SNMFCA: Supervised NMF-based Image Classification and Annotation,
IEEE Transactions on Image Processing, V21 (2012), pp. 4508-4521
-
Y. Huang, L. Moisan, M. Ng and T. Zeng,
Multiplicative Noise Removal via a Learned Dictionary,
IEEE Transactions on Image Processing, V21 (2012), pp. 4534-4543
-
F. Wang and M. Ng,
A Fast Minimization Method for Blur and Multiplicative Noise Removal,
International Journal of Computer Mathematics, V90 (2013), pp. 48-61
-
Y. Law, H. Lee, M. Ng and A. Yip,
A Semi-supervised Segmentation Model for
Collections of Images,
IEEE Transactions on Image Processing, V21 (2012), pp. 2955-2968
-
W. Wang and M. Ng,
A Variational Method for Blending of Multiple Images,
IEEE Transactions on Image Processing, V21 (2012), pp. 1809-1822
-
F. Li, M. Ng, R. Plemmons,
Coupled Segmentation and
Denoising/Deblurring Models for
Hyperspectral Material Identification,
Numerical Linear Algebra with Applications, V19 (2012), pp.
153-173
-
W. Wang and M. Ng,
On Algorithms for Automatic Deblurring From a Single
Image, Journal of Computational Mathematics, V30 (2012), pp. 80-100
-
M. Ng, F. Wang and X. Yuan,
Inexact Alternating Direction Methods for Image
Recovery, SIAM Journal on Scientific Computing, V33 (2011), pp.
1643-1668
-
Y. Xiao, T. Zeng, J. Yu and M. Ng, Restoration of Images Corrupted by Mixed Gaussian-Impulse Noise via l_1-l_0 Minimization,
Pattern
Recognition, V44 (2011), pp. 1708-1720
-
M. Ng and W. Wang,
A Total Variation Model for Retinex,
SIAM Journal on Imaging Sciences, V4 (2011), pp. 345-365
-
H. Liao and M. Ng,
Blind Deconvolution Using Generalized Cross Validation
Approach to Regularization Parameter Estimation,
IEEE Transactions on Image Processing, V20 (2011), pp. 670-680
-
M. Ng, F. Wang and X. Yuan, Fast
Minimization Methods for Solving Constrained Total-Variation
Superresolution
Image Reconstruction, Multidimensional Systems
and Signal Processing, V22 (2011), pp. 259-286
-
A. Yau, X. Tai and M. Ng,
Compression and Denoising using l_0-norm,
Journal Computational Optimization and Applications
V50 (2011), pp.
425-444
-
M. Ng, P. Weiss and X. Yuan,
Solving Constrained Total-Variation Image
Restoration and Reconstruction Problems via Alternating Direction Methods,
SIAM Journal on Scientific Computing, V32 (2010), pp. 2710-2736
-
F. Li, M. Ng and C. Li,
Variational Fuzzy Mumford-Shah Model for Image Segmentation,
SIAM Journal on Applied Mathematics, V70 (2010), pp. 2750-2770
-
M. Nikolova, M. Ng and C. Tam,
Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction,
IEEE Transactions on Image Processing, V19 (2010), pp. 3073-3088
-
M. Ng, G. Qiu and A. Yip, Numerical Methods for
Interactive Multiple Class Image Segmentation Problems,
International Journal of Imaging Systems and
Technology, V20 (2010), pp. 191-201
-
F. Li, M. Ng, T. Zeng and C. Shen,
A Multiphase Image Segmentation Method Based on Fuzzy Region Competition,
SIAM Journal on Imaging Sciences, V3 (2010), pp. 277-299
-
T. Zeng, X. Li and M. Ng,
Alternating Minimization Method for Total Variation Based Wavelet
Shrinkage Model, Communications in Computational Physics, V8
(2010), pp. 976-994
-
M. Poole, P. Weiss, H. Lopez, M. Ng and S. Crozler,
Minimax Current Density Coil Design, Journal
of Physics D: Applied Physics, V43 (2010), 095001
-
K. Wong, C. Tam and M. Ng,
Accurate Vascular Delay Estimation from Low Temporal Resolution
Image Dataset, IEEE Signal Processing Magazine, V27 (2010), pp. 155-158
-
F. Li and M. Ng,
Kernel Density Estimation Based Multiphase Fuzzy Region Competition Method
for Texture Image Segmentation, Communications in Computational Physics,
V8 (2010), pp. 623-641
-
Z. Bai, Y. Huang and M. Ng,
Block-triangular Preconditioners fro Systems Arising From Edge-preserving Image Restoration,
Journal of Computational Mathematics, V28 (2010), pp. 848-847
-
Z. Bai, Y. Huang, M. Ng and X. Yang
Preconditioned Iterative Methods for Algebraic Systems from Multiplicative
Half-Quadratic Regularization Image Restorations,
Numer. Math. Theor. Meth. Appl., V3 (2010), pp. 461-474
-
F. Li, M. Ng and C. Shen,
Multiplicative Noise Removal with Spatial-Varying Regularization
Parameters, SIAM Journal on Imaging Sciences, V3 (2010), pp. 1-20
-
T. Zeng and M. Ng,
On the Total Variation Dictionary Model,
IEEE Transactions on Image Processing, V19 (2010), pp. 821-825
-
H. Liao, F. Li and M. Ng,
On Selection of Regularization Parameter in Total Variation Image Restoration,
Journal of the Optical Society of America A, V26 (2009), pp.
2311-2320
-
Zheng-Jian Bai, M. Ng and and Liqun Qi,
A Coordinate Gradient Descent Method for Nonsmooth Nonseparable
Minimization, Numerical Mathematics: Theory, Methods and Applications,
V2 (2009), pp. 377-402
-
X. Guo, F. Li and M. Ng, A Fast l1-TV Algorithm for Image Restoration,
SIAM Journal on Scientific Computing, V31 (2009), pp. 2322-2341
-
Y. Huang, M. Ng and Y. Wen,
Fast Image Restoration Methods for Impulse and
Gaussian Noises Removal,
IEEE Signal Processing Letters, V16 (2009), pp. 457-460
-
H. Shen, M. Ng, R. Li and L. Zhang,
Superresolution Reconstruction Algorithm to MODIS Remote Sensing Images,
The Computer Journal, V52 (2009), pp. 90-100
-
K. Wong, C. Tam, G. Young, M. Ng and S. Wong,
Improved Residue
Function and Reduced Flow Dependence in MR Perfusion Using
Least-absolute-deviation Regularization,
Magnetic Resonance in Medicine, V61 (2009), pp. 418-428
-
Y. Huang, M. Ng and Y. Wen,
A New Total Variation Method for Multiplicative Noise Removal,
SIAM Journal on Imaging Sciences, V2 (2009), pp. 20-40
-
L. Lu, M. Ng, F. Lin,
Approximation BFGS Methods for
Nonlinear Image Restoration, Journal of Computational and
Applied Mathematics, 226 (2009), 84-91
-
Y. Wen, M. Ng and Y. Huang,
Efficient Total Variation Minimization Methods
for Color Image Restoration, IEEE Transactions on Image Processing,
V17 (2008), pp. 2081-2088
-
Y. Huang, M. Ng and Y. Wen,
A Fast Total Variation Minimization Method
for Image
Restoration, SIAM Journal on
Multiscale Modeling and Simulation, V7 (2008), pp. 774-795
-
Y. Wen, N. Ng and W. Ching,
Iterative Algorithms Based on Decoupling of Deblurring and
Denoising for Image Restoration, SIAM Journal on Scientific
Computing, V30 (2008), pp. 2655-2674
-
M. Nikolova, M. Ng, S.Zhang and W. Ching,
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization,
SIAM Journal on Imaging Sciences,
V1 (2008), pp. 2-25
-
Y. Huang and M. Ng, Lipschitz and Total-Variational Regularization for
Blind Deconvolution, Communications in Computational Physics,
V4 (2008), pp. 195-206
-
M. Ng, H. Shen, S. Chaudhuri, A. Yau, A Zoom Based
Super-Resolution Reconstruction Approach Using Total Variation Prior,
Optical Engineering, V46 (2007), 127003
-
M. Ng, H. Shen, L. Zhang and E. Lam,
A Total Variation Regularization Based Super-Resolution Reconstruction
Algorithm for Digital Video,
EUASIP Journal on Advances in Signal Processing,
V2007 (2007), Article ID 74585, 16 pages
-
M. Ng, L. Qi, Y. Yang and Y. Huang,
On Semismooth Newton's Methods for
Total Variation
Minimization, Journal of Mathematical Imaging and Vision,
V27 (2007), pp. 265-276
-
T. Chan, N. Ng, A. Yau and A. Yip, Superresolution Image
Reconstruction Using Fast Inpainting Algorithms,
Applied and Computational Harmonic Analysis, V23 (2007), pp. 3-24
-
H. Fu, M. Ng and J. Barlow, Structured Total Least Squares for Color Image
Restoration, SIAM Journal on Scientific Computing, V28 (2007),
pp. 1100-1119
-
W. Chan, E. Lam, M. Ng and G. Mak, Super-resolution Reconstruction in a
Computational Compound-eye Imaging System, Multidimensional Systems and
Signal Processing,
V18 (2007), pp. 83-101
-
A. Yau, N. Bose and M. Ng, An Efficient Algorithm for Superresolution in
Medium Field Imaging, Multidimensional Systems and Signal Processing,
V18 (2007), pp. 173-188
-
J. Zhang, T. Zhou, C. Cheung, C. Beling, S. Fung, M. Ng, Deconvolution
of 2D coincident Doppler broadening spectroscopy using the Richardson-Lucy
algorithm, Nuclear Instruments and Methods in Physics Research A, V560
(2006), pp. 552-557
-
N. Bose, M. Ng and A. Yau, A Fast Algorithm for Image Super-Resolution
From Blurred Observations, EURASIP Journal on Applied Signal Processing,
V2006 (2006), Article ID 35726, 14 pages
-
H. Fu, M. Ng, M. Nikolova and J. Barlow, Efficient Minimization Methods
of Mixed L1-L1 and L2-L1 Norms for Image Restoration, SIAM Journal on Scientific
Computing, V27 (2006), pp. 1881-1902
-
M. Nikolova and M. Ng, Analysis of Half-Quadratic Minimization Methods
for Signal and Image Recovery, SIAM Journal on Scientific Computing, V27
(2006), pp. 937-966
-
M. Ng and A. Yau, Super-resolution Image Restoration from Blurred Low-resolution
Images, Journal of Mathematical Imaging and Vision, V23 (2005), pp. 367-378
-
T. Woo, V. Cheng, C. Beling and M. Ng, An Evaluation of Algorithms for
the Deconvolution of Doppler Broadening Positron Annihilation Radiation
Spectroscopy Spectra, Computer Physics Communications, V168, Issue 3 (2005),
pp. 177-186
-
H. Ngan, G. Pang, S. Yung and M. Ng, Wavelet Based Methods for Patterned
Fabric Defect Detection, Pattern Recognition, V38 (2005), pp. 559-576
-
W. Ching, M. Ng, K. Sze and A. Yau, Super-Resolution Image Reconstruction
Using Multisensors, Numerical Linear Algebra with Applications, V12 (2005),
pp. 271-281
-
M. Ng and W. Kwan, Image Restoration by Cosine Transform Based Iterative
Regularization, Applied Mathematics and Computation, V160 (2005), pp. 499-515
-
R. Peeters, P. Kornprobst, M. Nikolova, S. Sunaert, T. Vieville, G. Malandain,
R. Deriche, O. Faugeras, M. Ng and P. Van Hecke, The Use of Superresolution
Techniques to Reduce Slice Thickness in Functional MRI, International Journal
of Imaging System and Technology, V14 (2004), pp. 131-138
-
F. Lin, W. Ching and M. Ng, Preconditioning Regularized Least Squares Problems
Arising from High-Resolution Image Reconstruction from Low-Resolution
Frames,
Linear Algebra and its Applications, V391 (2004), pp. 149-168
-
M. Ng, S. Sze and S. Yung, Wavelet Algorithms for Deblurring Models, International
Journal of Imaging System and Technology, V14(3) (2004), pp. 113-121
-
Y. Wen, M. Ng and W. Ching, High-Resolution Image Reconstruction from Rotated
and Translated Low-Resolution Images with Multisensors, International Journal
of Imaging System and Technology, V14(2) (2004), pp. 75-83
-
J. Nagy, M. Ng and L. Perrone, Kronecker Product Approximation for Image
Restoration with Reflexive Boundary Conditions, SIAM Journal Matrix Analysis
and Applications, V25 (2004), pp. 842-857
-
W. Ching, M. Ng, K. Sze and A. Yau, Super-Resolution Image Restoration
from Blurred Observations by Multisensors, International Journal of Imaging
Systems and Technology, V13 (2003), pp. 153-160
-
F. Lin and M. Ng, Super-Resolution Image Reconstruction with Estimation
of Low-Resolution Frames, International Journal of Applied Mathematics,
V13 (2003), pp. 84-99
-
F. Ho, A. Ching, C. Beling, S. Fung, M. Ng, M. Biasini, G. Ferro, M. Gong,
Positron-electron Autocorrelation Function Study of E-center in Silicon,
Journal of Applied Physics, V94 (2003), pp. 5549-5555
-
M. Ng and N. Bose, Mathematical Analysis of Super-Resolution Methodology,
IEEE Signal Processing Magazine, V20 (2003), pp. 62-74
-
K. Ho, C. Beling, S. Fung, K. Cheng, M. Ng and A. Yip, Deconvolution of
Coincidence Doppler Broadening Spectra using Iterative Projected Newton
Method with Non-negativity Constraints, Review of Scientific Instruments,
V74 (2003), pp. 4779-4787
-
M. Ng and N. Bose, Fast Color Image Restoration with Multisensors, International
Journal of Imaging Systems and Technology, V12 (2003), pp. 189-197
-
M. Ng and N. Bose, Analysis of Displacement Errors in High-Resolution Image
Reconstruction with Multisensors, IEEE Transactions on Circuits and Systems:
Part I, V49 (2002), pp. 806-813
-
M. Ng, A Fast Algorithm for Blind Channel Identification, The Journal of
Mathematical and Physical Sciences, V1 (2002), pp. 92-103
-
M. Ng, J. Koo and N. Bose, Constrained Total Least Squares Computations
for High Resolution Image Reconstruction with Multisensors, International
Journal of Imaging Systems and Technology, V12 (2002), pp. 35-42
-
M. Ng and W. Kwan, Comments on Least Squares Restoration of Multichannel
Images, IEEE Transactions on Signal Processing, V49 (2001), p. 2885
-
M. Ng and W. Kwan, High-Resolution Color Image Reconstruction with Neumann
Boundary Conditions, Annals of Operations Research, V103 (2001), pp. 99-114
-
M. Ng and A. Yip, A Fast MAP Algorithm for High-Resolution Image Reconstruction
with Multisensors, Multidimensional Systems and Signal Processing, V12
(2001), pp. 143-164
-
M. Ng, Robert Plemmons and Felipe Pimentel, A New Approach to Constrained
Total Least Squares Image Restoration, Linear Algebra Appls., V316 (2000),
pp. 237-258
-
M. Ng, R. Chan, T. Chan and A. Yip, Cosine Transform Preconditioners for
High Resolution Image Reconstruction, Linear Algebra Appls., V316 (2000),
pp. 89-104
-
M. Ng, R. Chan and W. Tang, A Fast Algorithm for Deblurring Models with
Neumann Boundary Conditions, SIAM Journal on Scientific Computing, V21
(2000), pp. 851-866
-
M. Ng, R. Plemmons and S. Qiao, Regularization of RIF Blind Image Deconvolution,
IEEE Transactions on Image Processing, V9 (2000), pp. 1130-1134
-
M. Ng, FFT--based Exponential-weighted Least Squares Computations, Linear
Algebra and its Applications, V263 (1997), pp. 167-191
-
M. Ng and R. Plemmons, LMS-Newton Adaptive Filtering Using FFT, SEAMS Math.
Bulletin, V20 (1996), pp. 47-54
-
M. Ng and R. Plemmons, Fast RLS Adaptive Filtering by FFT--based Conjugate
Gradient Iterations, SIAM Journal on Scientific Computing, V17 (1996),
pp. 920-941
-
M. Ng and R. Plemmons, LMS-Newton Adaptive Filtering Using FFT--based Conjugate
Gradient Iterations, Electronic Transactions on Numerical Analysis, V4
(1996), pp. 14-36
-
R. Chan, M. Ng and R. Plemmons, Generalization of Strang's Preconditioner
with Applications to Toeplitz Least Squares Problems, Numerical Linear
Algebra with Applications, V3 (1996), pp. 45-64
-
M. Ng, Fast Iterative Method for Solving Toeplitz-plus-Hankel Least Squares
Problems, Electronic Transactions on Numerical Analysis, V2 (1994), pp.
154-170
-
M. Ng and R. Chan, Fast Iterative Method for Least Squares Estimations,
Numerical Algorithms, V6 (1994), pp. 353-378
(Differential/Integral Equations):
-
X. Lin, M. Ng, H. Sun,
Stability and Convergence Analysis of Finite Difference Schemes for Time-Dependent
Space-Fractional Diffusion Equations with Variable Diffusion Coefficients,
Journal of Scientific Computing, V75 (2018), pp. 1102-1127
-
X. Lin, X. Lu, M. Ng, H. Sun,
A Fast Accurate
Approximation Method with Multigrid Solver
for Two-Dimensional Fractional Sub-Diffusion
Equation, Journal of Computational Physics, V323 (2016), pp. 204-218
-
R. Ke, M. Ng and H. Sun, A Fast Direct Method for Block
Triangular Toeplitz-like with Tri-diagonal Block Systems from
Time-Fractional
Partial Differential Equations, Journal of
Computational Physics, V303 (2015), pp. 203-211
-
M. Benzi, M. Ng, Q. Niu and Z. Wang,
A Relaxed Dimensional Factorization Preconditioner
for the Incompressible Navier-Stokes Equations,
Journal of Computational Physics, V230 (2011), pp. 6185-6202
-
Z. Bai, Y. Huang and M. Ng, On Preconditioned Iterative Methods for
Time-dependent Partial Differential
Equations, SIAM Journal on Numerical Analysis,
V47 (2009), pp. 1019-1037
-
Z. Bai, Y. Huang and M. Ng, On Preconditioned Iterative Methods for Burgers Equations,
SIAM Journal on Scientific Computing,
V29 (2007), pp. 415-439
-
Z. Bai, M. Ng and J. Pan, On Alternating Splitting Waveform Relaxation
Method and its Successive Overrelaxation Acceleration, Computers and Mathematics
with Applications, V49 (2005), pp. 157-170
-
J. Pan, Z. Bai and M. Ng, Two-Step Waveform Relaxation Methods for Implicit
Linear Initial Value Problems, Numerical Linear Algebra with Applications,
V12 (2005), pp. 293-304
-
D. Bertaccini, Y. Wen and M. Ng, The Eigenvalues of Preconditioned Matrices
for Linear Multistep Formulas in Boundary Value Form, Numerical Linear
Algebra with Applications, V12 (2005), pp. 315-325
-
D. Bertaccini and M. Ng, Band-Toeplitz Preconditioned GMRES Iterations
for Time-dependent PDEs, BIT, V43 (2003), pp. 901-914
-
D. Bertaccini and M. Ng, Omega-Circulant Preconditioners for Time-Dependent
Integrators, CALCOLO, V40 (2003), pp. 71-90
-
W. Cheung and M. Ng, Block-Circulant Preconditioners for Systems Arising
from Discretization of the Three-Dimensional Convection-Diffusion Equation,
Journal of Computational Applied Math., V140 (2002), pp. 143-158
-
R. Chan, M. Ng and X. Jin, Strang's Circulant Preconditioners for Systems
of LMF-Based ODE Codes, IMA Journal of Numerical Analysis, V21 (2001),
pp. 451-462
-
D. Bertaccini and M. Ng, The Convergence Rate of Block Preconditioned Systems
Arising from LMF-based ODE Codes, BIT, V41 (2001), pp. 433-450
-
F. Lin and M. Ng, Fast Preconditioned Iterative Methods for Convolution-type
Integral Equations, BIT, V40 (2000), pp. 336-350
-
M. Ng, Preconditioning of Elliptic Problems by Approximation in the Transform
Domain, BIT, V37 (1997), pp. 885-900
-
F. Lin, M. Ng and R. Chan, Preconditioners for Wiener-Hopf Equations with
Higher Order Quadrature Rules, SIAM Journal on Numerical Analysis, V34
(1997), pp. 1418-1431
-
M. Ng, Circulant Preconditioners for Convolution-like Integral Equations
with Higher Order Quadrature Rules, Electronic Transactions on Numerical
Analysis, V5 (1997), pp. 18-28
-
M. Ng and F. Lin, Decomposition and Construction of Preconditioners for
Wiener-Hopf Equations, SEAMS Math. Bulletin, V20, No. 3 (1996), pp. 71-78
-
F. Lin and M. Ng, Higher-order Quadratures for Circulant Preconditioned
Wiener-Hopf Equations, BIT, V36, No.1 (1996), pp. 110-121
-
R. Chan, X. Jin and M. Ng, Circulant Integral operators as Preconditioners
for Wiener-Hopf Equations, Integral Equations and Operator Theory, V21
(1995), pp. 12-23
-
M. Ng, F. Lin and R. Chan, Construction of Preconditioners for Wiener-Hopf
Equations by Operator Splitting, Applied Mathematics and Computations,
V72 (1995), pp. 77-96
(Data Mining):
-
G. Yan, H. Min, M. Ng, Q. Wu,
Online Heterogeneous Transfer
Learning by Knowledge Transition, ACM Transactions on Intelligent Systems
and Technology
-
D. Dong, L. Jing, M. Ng, S. Sun and J. Yu,
Sentiment Lexicon Construction with Hierarchical
Supervision Topic Model,
IEEE Transactions on Audio, Speech and
Language Processing
-
X. Li, M. Ng, X. Xu and Y. Ye,
Block Principal Component Analysis for Tensor Objects with Frequency or
Time Information, Neurocomputing
302 (2018), pp. 12-22
-
H. Tong and M. Ng, Calibration of epsilon-insensitive Loss in Support
Vector Machines
Regression,
Journal of the Franklin Institute
-
Y. Yao, X. Li, Y. Ye, F. Liu, M. Ng, Z. Huang, Y. Zhang,
Low-resolution Image Categorization via Heterogeneous Domain Adaptation,
Knowledge-Based Systems
-
H. Zhu, L. Liao and M. Ng,
Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality,
Neural Computation
-
H. Tong and M. Ng,
Analysis of
Regularized Least
Squares for Functional Linear Regression Model,
Journal of Complexity
-
G. Xu, S. Khan, H. Zhu, L. Han, M. Ng and H. Yan,
Discriminative Tracking via Supervised Tensor Learning,
Neurocomputing
-
S. Jiang, Y. Xu, H. Song, Q. Wu, M. Ng,
H. Min, S Qiu,
Multi-instance Transfer Metric Learning
by Weighted
Distribution and Consistent Maximum Likelihood
Estimation,
Neurocomputing
-
C. Chen, J. Xin, Y. Wang, L. Chen and M. Ng,
A Semi-supervised Classification
Approach for Multi-domain Networks with
Domain
Selection, IEEE
Transactions on Neural Networks and Learning Systems
-
H. Tong and M. Ng,
Regularized Semi-supervised Least Squares Regression with Dependent
Samples, Communications in Mathematical Sciences
-
H. Zhu, C. Chen, L. Liao and M. Ng,
Multiple Graphs Clustering by Gradient Flow Method,
V355 (2018), pp. 1819-1845
-
Y. Yan, Q. Wu, M. Tan, M. Ng, H. Min, I. Tsang,
Online Heterogeneous Transfer by Hedge Ensemble of
Offline and Online Decisions,
IEEE Transactions on Neural Networks and Learning Systems,
V29 (2018), pp. 3252-3263
-
X. Li, M. Ng, G. Cong, Y. Ye and Q. Wu,
MR-NTD:
Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data
Dimension
Reduction and Representation,
IEEE Transactions on Neural Networks and Learning Systems, V28 (2017), pp.
1787-1800
-
G. Gan and M. Ng,
k-Means Clustering with Outlier Removal,
Pattern Recognition Letters, V90 (2017), pp. 8-14
-
M. Ng, Q. Wu and C. Shen,
A Fast Markov Chain Based Algorithm for MIML Learning,
Neurocomputing, V216 (2016), pp. 763-777
-
Q. Wu, M. Tan, M. Song, H. Chen and M. Ng,
ML-Forest: A Multi-label Tree Ensemble Method for
Multi-Label Classification,
IEEE Transactions on
Knowledge and Data Engineering, V28 (2016), pp. 2665-2680
-
L. Yang, L. Jing, J. Yu and M. Ng,
Learning
Transferred Weights from Co-Occurrence Data for Heterogeneous Transfer
Learning,
IEEE Transactions on Neural Networks and Learning Systems, V27
(2016), pp. 2187-2200
-
G. Gan and M. Ng,
Subspace Clustering with Automatic Feature Grouping,
Pattern Recognition, V48 (2015), pp. 3703-3713
-
D. Chu, L. Liao, M. Ng and X. Wang, Incremental Linear Discriminant
Analysis: A New Algorithm and
Comparisons, IEEE
Transactions on Neural Networks and Learning Systems,
V11 (2015), pp. 2716-2735
-
G. Gan and M. Ng,
Subspace Clustering using Affinity Propagation,
Pattern Recognition, V48 (2015), pp. 1455-1464
-
Q. Wu, Y. Ye, H. Zhang, M. Ng and S. Ho,
ForesTexter: An Efficient Random
Forest Algorithm for Imbalanced Text Categorization,
Knowledge-Based Systems, V67 (2014), pp. 105-116
-
Q. Wu, M. Ng, Y. Ye, X. Li, R. Shi and Y. Li,
Multi-Label Collective Classification via Markov Chain
Based Learning Method, Knowledge Based System
V63 (2014), pp. 1-14
-
Q. Wu, M. Ng and Y. Ye,
Co-Transfer Learning Using Coupled Markov Chains with Restart,
IEEE Intelligent Systems, V29 (2014), pp. 26-33
-
D. Chu, L. Liao, M. Ng and X. Zhang,
Sparse Canonical Correlation Analysis: New Formulation
and Algorithm,
IEEE Transactions on Pattern Analysis and Machine Intelligence, V35
(2013), pp. 3050-3065
-
L. Jing, M. Ng, T. Zeng,
Dictionary
Learning Based Subspace Structure Identification in Spectral Clustering,
IEEE Transactions on Neural Networks and Learning
Systems, V24 (2013), pp. 1188-1199
-
X. Li, M. Ng, and Y. Ye, MultiComm: Finding Local Community Structure in
Multi-dimensional Networks,
IEEE Transactions on Knowledge and Data Engineering,
V26 (2014), pp. 929-941
-
Y. Ye, Q. Wu, J. Huang, M. Ng and X. Li,
Stratified Sampling for Feature Subspace Selection in
Random Forests for High Dimensional Data,
Pattern Recognition, V46 (2013), pp. 769-787
-
Q. Wu, M. Ng and Y. Ye,
Markov-MIML: A Markov Chain Based Multi-Instance
Multi-Label Learning Algorithm,
Knowledge and Information Systems, V37 (2013), pp. 83-104
- X. Kong, M. Ng and Z. Zhou,
Transductive Multi-Label Learning via Label Set Propagation,
IEEE Transactions on Knowledge and Data Engineering, V25
(2013), pp. 704-719.
- X. Li, W. Li, Y. Ye and M. Ng,
On Multivariate Markov Chains for Common and Non-common Objects in
Multiple Networks,
Numerical Mathematics: Theory,
Methods and Applications, V5 (2012), pp. 383-402
-
Y. Wang, Y. Ye, X. Li, M. Ng and J. Huang,
Hierarchical Information-theoretic Co-clustering for High
Dimensional Data,
International Journal of Innovative Computing,
Information and Control, V7 (2011), pp. 487-500
-
M. Ng, L. Liao and L. Zhang,
On Sparse Linear Discriminant Analysis
Algorithm for High-dimensional Data Classification,
Numerical Linear Algebra with Applications,
V18 (2011), pp. 223-236
-
X. Li, Y. Ye, M. Li and M. Ng,
On Cluster Tree for Nested and Multi-density Data Clustering,
Pattern Recognition, V43 (2010), pp. 3130-3143
- J. Ling, M. Ng and J. Huang,
Knowledge-based Vector Space Model for Text Clustering,
Knowledge and Information Systems, V25 (2010), pp. 35-55
- J. Ling, M. Li, M. Ng, Y. Cheung and J. Huang,
SMART: a Subspace Clustering Algorithm that Automatically Identifies
the Appropriate Number of Clusters,
International Journal of Data Mining, Modelling and Management,
V1 (2009), pp. 149-177
-
H. Liao and M. Ng,
Categorical Data Clustering with Automatic
Selection of Cluster Number,
Journal of Fuzzy Information and Engineering,
V1 (2009), pp. 5-25
-
M. Ng and L. Jing,
A New Fuzzy k-Modes Clustering Algorithm for Categorical Data,
International Journal of Granular Computing, Rough Sets and Intelligent Systems,
V1 (2009), pp. 105-119
-
M. Li, M. Ng, Y. Cheung and J. Huang,
Agglomerative Fuzzy k-means Algorithm with Selection of Number
of Clusters,
IEEE Transactions on Knowledge and Data Engineering, V20 (2008), pp. 1519-1534
-
X. Zhang, L. Jing, X. Hu, M. Ng, J. Xia and X. Zhou,
Medical Document Clustering Using Ontology Based
Term Similarity Measures, International Journal of
Data Warehousing and Mining, V4 (2008), pp. 62--73
-
L. Jing, M. Ng and J. Huang,
An Entropy Weighting k-means
Algorithm for Subspace Clustering of High-dimensional
Sparse Data, IEEE Transactions on Knowledge and Data Engineering,
V19 (2007), pp. 1026-1041
-
M. Ng, M. Li, J. Huang and Z. He,
On the Impact of Dissimilarity Measure in k-modes Clustering
Algorithm,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
V29 (2007), pp. 503-507
-
M. Ng, E. Chan, M. So and W. Ching, A Semi-Supervised Regression Model
for Mixed Numerical and Categorical Variables, Pattern Recognition,
V40 (2007), pp. 1745-1752.
-
L. Jing, X. Yang, M. Ng, J. Huang, A Text Clustering System based on k-means
Type Subspace Clustering and Ontology, International Journal of
Intelligent Technology, Vol. 1, No. 2, pp. 91-103.
-
V. Torra, J. Domingo-Ferrer, J. Mateo-Sanz and M. Ng, Regression for Ordinal
Variables without Underlying Continuous Variables, Information Sciences,
V176 (2006), pp. 465-474
-
E. Wu, M. Ng and J. Huang, A Data Warehousing and Data Mining Framework
for Web Usage Management, Communications in Information and Systems, V4
(2004), pp. 301-324.
-
Z. Huang, M. Ng, H. Rong and Z. Li, Automated Variable Weighting in
K-Means Type
Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence,
V27 (2005), pp. 657-668
-
K. Yip, D. Cheung and M. Ng, HARP: A Highly-usable Projected Clustering
Algorithm, IEEE Transactions on Knowledge and Data Engineering, V16 (2004),
pp. 1387-1397
-
E. Chan, W. Ching, M. Ng and Z. Huang, An Optimization Algorithm for Clustering
Using Weighted Dissimilarity Measures Optimization, Pattern Recognition,
V37 (2004), pp. 943-952
-
Z. Huang and M. Ng, A Note on K-Modes Clustering, Journal of Classification,
V20 (2003), pp. 257-261
-
Q. Yang, Z. Huang and M. Ng, A Data Cube Model for Prediction-based Web
Prefetching, Journal of Intelligent Information Systems, V20 (2003), pp.
11-30
-
K. Yip, M. Ng and D. Cheung, A Review on Projected Clustering Algorithms,
International Journal of Applied Mathematics, V13 (2003), pp. 24-35
-
M. Ng and J. Wong, Clustering Categorical Data Sets Using Tabu Search Techniques,
Pattern Recognition, V35 (2002), pp. 2783-2790
-
M. Ng, K-means-type Algorithms on Distributed Memory Computer, International
Journal of High Speed Computing, V11 (2001), pp. 75-91
-
M. Ng, A Note on Constrained K-means Algorithms, Pattern Recognition, V33
(2000), pp. 515-519
-
Z. Huang and M. Ng, A Fuzzy K-modes Algorithm for Clustering Categorical
Data, IEEE Transactions on Fuzzy Systems, V7 (1999), pp. 446-452
-
M. Ng and Z. Huang, Data-Mining Massive Time Series Astronomical Data:
Challenges, Problems and Solutions, Information and Software Technology,
V41 (1999), pp. 545-556
(Bioinformatics):
-
Y. Qiu, H. Jiang, W. Ching and M. Ng,
On Predicting Epithelial Mesenchymal Transition by
Integrating RNA-binding
Proteins
and Correlation Data via L1/2-regularizatiMn met,
Artificial Intelligence In Medicine
-
Y. Liu, M. Ng, S. Wu,
Multi-domain Networks Association for Biological Data
Using Block Signed Graph Clustering, IEEE/ACM
Transactions on Computational Biology and Bioinformatics
-
L. Zhao, V. Lee, M. Ng, H. Yan and M. Bijlsma,
Molecular Subtyping of Cancer: Current Status and
Moving Toward Clinical Applications,
Briefings in Bioinformatics (2018), pp. 1–13
-
C. Chuan, M. Ng and S. Zhang,
Block Spectral Clustering for
Multiple Graphs with Inter-relation,
Network Modeling Analysis in Health Informatics (2017)
-
X. Zhang, L. Li, M. Ng and S. Zhang,
Drug-target Interaction Prediction by Integrating Multiview Network Data,
Computational Biology and Chemistry V69 (2017), pp. 185-193
-
S. Zhang and M. Ng,
Gene-microRNA Network Module Analysis
for Ovarian Cancer,
BMC System Biology, Volume 10 Supplement 4 (2016)
-
C. Shen, J. Pan, S. Zhang and M. Ng,
Multiple Networks Modules
Identification by a Multi-dimensional Markov Chain Method,
Network Modeling Analysis in Health Informatics and Bioinformatics,
4:32 (2015)
-
S. Zhang, H. Zhao and M. Ng,
Functional Module Analysis for Gene Coexpression
Networks with Network Integration, IEEE/ACM
Transactions on Computational Biology and Bioinformatics,
V12 (2015), pp. 1146-1160
-
H. Cai, P. Ruan, M. Ng and T. Akutsu,
Feature Weight Estimation for Gene Selection: a Local Hyper-Linear Learning Spproach,
BMC Bioinformatics, 15:70 (2014)
-
Q. Wu, Y. Ye, M. Ng, S. Ho and R. Shi,
Collective Prediction of Protein Functions from
Protein-Protein Interaction Networks, BMC Bioinformatics,
15:S9 (2014)
-
X. Li, Y. Ye, M. Ng and Q. Wu,
MultiFacTV: Module Detection from Higher-order Time Series Biological
Data, BMC Genomics 14:S2 (2013)
-
H. Pang, T. Tong and M. Ng, Block-diagonal Discriminant Analysis and
Its Bias-corrected Rules,
Statistical Applications in Genetics and Molecular Biology, V12 (2013),
pp. 347-359
-
Y. Liu, X. Li, Z. Liu, L. Chen
and M. Ng, Construction and Analysis of SNP-SNP Interaction
Networks, IET Systems Biology, V7 (2013), pp. 170-181
-
Q. Wu, Y. Ye, Y. Liu and M. Ng,
Stratified Random Forest for Genome-wide Association Study,
IEEE Transactions on NanoBioScience, V11 (2012), pp. 216-227
-
Y. Liu and M. Ng,
Classification of Genome-wide Copy Number Variations
and their Associated SNP and Gene Networks Analysis,
BMC Bioinformatics, 12:S4 (2011)
-
L. Jing, T. Zeng and M. Ng,
On Gene Selection and Classification for Cancer Microarray Data Using Multi-step
Clustering and Sparse Representation,
Advances in Adaptive Data Analysis, V3 (2011), pp.
127-148
-
L. Jing and M. Ng,
Prior Knowledge Based Mining Functional Modules from Yeast PPI Networks with Gene Ontology,
BMC Bioinformatics, 11:S3 (2010)
-
Y. Liu and M. Ng,
Shrunken
Methodology to Genome-wide SNPs Selection and
Construction of SNPs Networks, BMC Systems Biology, 4:S7, (2010)
-
Y. Liu, M. Li, Y. Cheung, P. Sham and M. Ng,
SKM-SNP: SNP Markers Detection Method,
Journal of Biomedical Informatics, V43 (2010), pp. 233-239
-
L. Jing, M. Ng and Y. Liu,
Construction of Gene Networks with Hybrid Approach from Expression Profile
and Gene Ontology,
IEEE Transactions on Information Technology in Biomedicine,
V14 (2010), pp. 107-118
-
S. Zhang, H. Wang, X. Zhou, G. Hoehn, T. DeGraba, D. Gonzales, A. Suffredini, W. Ching, M. Ng and S. Wong,
A Novel Peak Detection Approach with Chemical Noise Removal Using Short-Time FFT for prOTOF MS Data, Proteomics,
V9 (2009), pp. 3833-3842
-
X. Hu, M. Ng, F. Wu and B. Sokhansanj, Mining, Modeling and Evaluation
of Sub-Networks from Large Biomolecular Networks and its Comparison Study,
IEEE Transactions on Information Technology in Biomedicine,
V13 (2009), pp. 184-194
-
T. Akutsu, M. Hayashida, S. Zhang, W. Ching and M. Ng,
Analyses and Algorithms for Predecessor and Control Problems
for Boolean Networks of Bounded Indegree,
IPSJ Transactions on Bioinformatics, V1 (2008), pp. 23-34
-
K. Yip, L. Cheung, D. Cheung, L. Jing and M. Ng,
A Semi-supervised Approach to Projected Clustering with
Applications to Microarray Data,
International Journal
of Data Mining and Bioinformatics, V3 (2009), pp. 229-259
-
E. Fung and M. Ng, On Sparse Fisher Discriminant Method for Microarray
Data Analysis, Bioinformation, V2 (2007), pp.
222-229
-
H. Liao, M. Ng, E. Fung and P. Sham,
Unidimensional Nonnegative Scaling for
Genome-wide Linkage Disequilibrium Maps,
International Journal of Bioinformatics Research and Applications,
V4 (2008), pp. 417-434
-
L. Cheung, Y. Lee, T. Ng, W. Ching, U. Khoo, M. Ng and A. Wong,
CpG/CpNpG Motifs in the Coding Region are Preferred Sites for Mutagenesis in the Breast Cancer
Susceptibility Genes, FEBS Letters, V581 (2007), pp. 4668-4674
-
W. Ching, S. Zhang, M. Ng and T. Akutsu,
An Approximation Method for Solving the Steady-state Probability
Distribution of Probabilistic Boolean Networks,
Bioinformatics, V23 (2007), pp. 1511-1518
-
S. Zhang, M. Hayashida, T. Akutsu, W. Ching and M. Ng,
Algorithms for Finding Small
Attractors in Boolean Networks, EURASIP
Journal on Bioinformatics and Systems Biology,
V2007 (2007), 20180
-
P. Sham, S. Ao, P. Koo, P. Yee and M. Ng,
Combining Functional and Linkage Disequilibrium Information in the
Selection of Tag SNPs, Bioinformatics
V23 (2007), pp. 129-131
-
T. Akutsu, M. Hayashida, W. Ching and M. Ng,
Control of Boolean Networks: Hardness Results and Algorithms for Tree
Structured Networks,
Journal of Theoretical Biology, V244 (2007), pp. 670-679
- A. Yip, M. Ng, E. Wu and T. Chan,
Strategies for Identifying Statistically Significant Dense Regions in
Microarray Data, IEEE/ACM Transactions on Computational
Biology and Bioinformatics,
V4(3) (2007), pp. 415-429
- S. Ao, M. Ng and P. Sham,
Constrained Unidimensional
Scaling with Applications to Genomics,
Computational Statistics and Data Analysis, V52 (2007), pp. 201-210
-
S. Zhang, W. Ching, M. Ng and T. Akutsu, Simulation Study in Probabilistic
Boolean Network Models for Genetic Regulatory Networks, International Journal
of Data Mining and Bioinformatics, V1 (2007), pp. 217-240
-
M. Ng, E. Fung, Y. Li and W. Ching, A Recursive Method for Solving Haplotype
Frequencies with Application to Genetics, Journal of Bioinformatics and
Computational Biology, V4 (2007) pp. 1269-1286
-
C. Lin, K. Yip, D. Cheung, B. Kao and M. Ng, On Mining Micro-array Data
by OPSM, International Journal of Bioinformatics Research and Applications,
V3 (2007), pp. 42-64.
-
S. Ao and M. Ng, Gene Expression Time Series Modeling with Principal Component
and Neural Network, Soft Computing, V10 (2006), pp. 351-358
-
W. Ching, M. Ng, E. Fung and T. Akutsu, On Construction of Stochastic Genetic
Networks Based on Gene Expression Sequences, International Journal of Neural
Systems, 15 (2005) pp. 297-310
-
S. Ao, K. Yip, M. Ng, D. Cheung, P. Yee, I. Melhado and P. Sham, CLUSTAG:
Hierarchical Clustering and Graph Methods for Selecting Tag SNPs, Bioinformatics,
V21 (2005) pp. 1735-1736
-
K. Yip, D. Cheung, M. Ng and K. Cheung, Identifying Projected Clusters
from Gene Expression Profiles, Journal of Biomedical Informatics, V37 (2004)
pp. 345-357
(Operations Research):
-
M. Ng and Y. Chung, Double Mover-stayer Model
on Customer Switching in Telecommunication Industry,
Naval Research Logistics, V59 (2012) pp. 663-674
-
G. Fusai, D. Marazzina, M. Marena and M. Ng,
Z-transform and Preconditioning Techniques for Option
Pricing, Quantitative Finance, V12 (2012), pp. 1381-1394
-
T. Siu, E. Fung and M. Ng,
Option Valuation with a Discrete-Time Double Markovian
Regime-Switching Model, Applied Mathematical Finance, V18 (2011), pp.
473-490
-
T. Siu, W. Ching, E. Fung, M. Ng and X. Li,
A Higher-order Markov-switching Model for Risk Measurement, Computers and
Mathematics Applications, 58 (2009), pp. 1-10
-
W. Ching, E. Fung, M. Ng, T. Siu and W. Li,
Interactive Hidden Markov Models and Their Applications,
IMA Journal of Management Mathematics, V18 (2007), 85-97
-
K. Siu, M. Ng and E. Fung,
On Neural Network Conditional Autoregressive Value at Risk,
Mathematical Modelling and Applied Computing
-
W. Ching, S. Zhang and M. Ng, On Multi-dimensional Markov Chain Models,
Pacific Journal of Optimization, V3 (2007), 235-243
-
T. Siu, W. Ching. E. Fung and M. Ng, Extracting Information from Spot Interest
Rates and Credit Ratings using Double Higher-Order Hidden Markov Models,
Journal of Computational Economics 26 (2005) 251-284
-
W. Ching, W. Yuen, M. Ng, and S. Zhang A Linear Programming Approach for
Determining Optimal Advertising Policy, IMA Journal of Management Mathematics,
V17 (2006) pp. 83-96
-
T. Siu, W. Ching, E. Fung and M. Ng, On Multivariate Credibility Approach
for Portfolio Credit Risk Measurement, Quantitative Finance, V5 (2005),
pp. 543-556
-
W. Ching, E. Fung and M. Ng, Building Higher-order Markov Chain Models
with EXCEL, International Journal of Mathematical Education in Science
and Engineering, V35 (2004), pp. 921-932
-
W. Ching, M. Ng, K. Wong and E. Altman, Customer Lifetime Value: Stochastic
Optimization Approach, Journal of Operational Research Society, V55 (2004),
pp. 860-868
-
W. Ching, M. Ng and M. So, Customer Migration, Campaign Budgeting, Revenue
Estimation: the Elasity of Markov Decision Process on Customer Lifetime
Value, Electronic International Journal of Advanced Modeling and Optimization,
V6(2) (2004), pp. 65-80
-
W. Ching, M. Ng, and K. Wong, Hidden Markov Models and its Applications
to Customer Relationship Management, IMA Journal on Management Mathematics,
V15 (2004), pp. 13-24
-
W. Ching and M. Ng, Building Simple Hidden Markov Model, International
Journal of Mathematical Education in Science and Technology, V35 (2004),
pp. 295-299
-
W. Ching, E. Fung and M. Ng, Higher-order Markov Chain Models for Categorical
Data Sequences, Naval Research Logistics, V51 (2004), pp. 557-574
-
W. Ching, E. Fung and M. Ng, Higher-order Markov Model for the Newsboy's
Problem, Journal of Operational Research Society, V54 (2003), pp. 291-298
-
W. Ching, E. Fung and M. Ng, A Multivariate Markov Chain Model for Categorical
Data Sequences and Its Applications in Demand Predictions, IMA Journal
on Management Mathematics, V13 (2002) 187-199
-
M. Ng, Clustering Methods for Printed Circuit Board Insertion Problems,
Journal of Operational Research Society, V51 (2000), pp. 1205-1211
-
M. Ng, A Note on Policy Algorithms for Discounted Markov Decision Problems,
Operations Research Letters, V25 (1999), pp. 195-197
-
M. Ng, Heuristics Approach to Printed Circuit Board Insertion Problem,
Journal of Operational Research Society, V49 (1998), pp. 1051-1059
(Conference Papers):
-
Y. Sun, M. Ng, Z. Zhou: Multi-Instance Dimensionality
Reduction. AAAI 2010
Book Chapters
-
R. Chan and M. Ng, Preconditioning Toeplitz Systems with Circulant Preconditioners,
Iterative Methods in Scientific Computing, Springer-Verlag, 1997, pp. 243-270
-
R. Chan and M. Ng, Iterative Methods for Linear Systems with Matrix Structure,
Fast Reliable Algorithms for Matrices with Structure, SIAM, 1999, pp. 132-174
-
R. Chan, M. Ng and X. Jin, Circulant Preconditioners for Solving Ordinary
Differential Equations, Structured Matrices: Recent Developments in Theory
and Computation. Nova Science Pub. Inc., 2000, pp. 157-164
-
W. Kwan and M. Ng, Iterative Regularization for Ill-Posed Imaging Problems
Using Neumann Boundary Conditions, Structured Matrices: Recent Developments
in Theory and Computation, Nova Science Pub. Inc., 2000, pp. 177-190
-
R. Chan, M. Ng and A. Yip, A Survey of Preconditioners for Ill-Conditioned
Toeplitz Systems, Structured Matrices in Mathematics, Computer Science,
and Engineering II, Contemporary Mathematics, AMS, 2001, pp. 175-191
-
M. Ng, N. Bose and J. Koo, Constrained Total Least Squares for Color Image
Reconstruction, Total Least Squares and Errors-in-Variables Modelling III:
Analysis, Algorithms and Applications, Kluer Academic Publishers, 2002,
pp. 365-374
-
M. Ng and R. Plemmons, Blind Deconvolution and Structured Matrix Computations
with Applications to Array Imaging, Blind Image Deconvolution: Theory and
Applications,
CRC Press, pp. 377-418
-
M. Ng, Structured Matrix Computations, Handbook of Linear Algebra, CRC
Press, CRC Press, Chapter 48
-
E. Wu and M. Ng, Developing a Knowledge-Based Intelligent
Services System in Sports Websites, E-Service
Intelligence---Methodologies, Technologies and Applications,
Springer, Chapter 25, pp. 535-554