Fast Iterative Solvers for Toeplitz-Plus-Band Systems. - Raymond H. Chan; Michael Kwok-Po Ng (SIAM J. Sci. Comput., 1993)

Fastiterative methods for least squares estimations. - Michael K. Ng 001; Raymond H. Chan (Numer. Algorithms, 1994)

Nonlinear image restoration using FFT-based conjugate gradient methods. - Michael K. Ng 001 (ICIP, 1995)

Generalization of Strang's Preconditioner with Applications to Toeplitz Least Squares Problems. - Raymond H. Chan; Michael K. Ng 001; Robert J. Plemmons (Numer. Linear Algebra Appl., 1996)

Conjugate Gradient Methods for Toeplitz Systems. - Raymond H. Chan; Michael K. Ng 001 (SIAM Rev., 1996)

Fast Recursive Least Squares Adaptive Filtering by Fast Fourier Transform-Based Conjugate Gradient Iterations. - Michael K. Ng 001; Robert J. Plemmons (SIAM J. Sci. Comput., 1996)

Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. - Michael K. Ng 001; Zhexue Huang; Markus Hegland (PAKDD, 1998)

Heuristics approach to printed circuit board insertion problem. - Michael K. Ng 001 (J. Oper. Res. Soc., 1998)

Iterative Methods for Phase Diversity-Based Blind Deconvolution in Atmospheric Optics. - Wilson C. Kwan; Michael K. Ng 001 (ICIP (1), 1999)

Map Regularized Image Reconstruction with Multisensors. - Michael K. Ng 001; Wilson C. Kwan (ICIP (3), 1999)

Data-mining massive time series astronomical data: challenges, problems and solutions. - Michael K. Ng 001; Zhexue Huang (Inf. Softw. Technol., 1999)

A note on policy algorithms for discounted Markov decision problems. - Michael K. Ng 001 (Oper. Res. Lett., 1999)

Galerkin Projection Methods for Solving Multiple Linear Systems. - Tony F. Chan; Michael K. Ng 001 (SIAM J. Sci. Comput., 1999)

A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions. - Michael K. Ng 001; Raymond H. Chan; Wun-Cheung Tang (SIAM J. Sci. Comput., 1999)

A fuzzy k-modes algorithm for clustering categorical data. - Zhexue Huang; Michael K. Ng 001 (IEEE Trans. Fuzzy Syst., 1999)

An efficient parallel algorithm for high resolution color image reconstruction. - Michael K. Ng 001 (ICPADS Workshops, 2000)

An Interactive Approach to Building Classification Models by Clustering and Cluster Validation. - Zhexue Huang; Michael K. Ng 001; Tao Lin; David Wai-Lok Cheung (IDEAL, 2000)

A Tabu Search Based Algorithm for Clustering Categorical Data Sets. - Joyce C. Wong; Michael K. Ng 001 (IDEAL, 2000)

Skew-Circulant Preconditioners for Systems of LMF-Based ODE Codes. - Daniele Bertaccini; Michael K. Ng 001 (NAA, 2000)

A Fast Algorithm for High-Resolution Color Image Reconstruction with Multisensors. - Michael K. Ng 001; Wilson C. Kwan; Raymond H. Chan (NAA, 2000)

K-Means-Type Algorithms on Distributed Memory Computer. - Michael K. Ng 001 (Int. J. High Speed Comput., 2000)

Clustering methods for printed circuit board insertion problems. - Michael K. Ng 001 (J. Oper. Res. Soc., 2000)

A note on constrained k-means algorithms. - Michael K. Ng 001 (Pattern Recognit., 2000)

The Best Circulant Preconditioners for Hermitian Toeplitz Systems. - Raymond H. Chan; Andy M. Yip; Michael K. Ng 001 (SIAM J. Numer. Anal., 2000)

Preconditioned Lanczos Methods for the Minimum Eigenvalue of a Symmetric Positive Definite Toeplitz Matrix. - Michael K. Ng 001 (SIAM J. Sci. Comput., 2000)

Regularization of RIF blind image deconvolution. - Michael K. Ng 001; Robert J. Plemmons; Sanzheng Qiao (IEEE Trans. Image Process., 2000)

An Empirical Study on the Visual Cluster Validation Method with Fastmap. - Zhexue Huang; Michael K. Ng 001; David Wai-Lok Cheung (DASFAA, 2001)

Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. - Mila Nikolova; Michael K. Ng 001 (ICIP (1), 2001)

A Cube Model and Cluster Analysis for Web Access Sessions. - Joshua Zhexue Huang; Michael K. Ng 001; Wai-Ki Ching; Joe Ng; David Wai-Lok Cheung (WEBKDD, 2001)

Patterns Discovery Based on Time-Series Decomposition. - Jeffrey Xu Yu; Michael K. Ng 001; Joshua Zhexue Huang (PAKDD, 2001)

High-Resolution Color Image Reconstruction with Neumann Boundary Conditions. - Michael K. Ng 001; Wilson C. Kwan (Ann. Oper. Res., 2001)

A Fast MAP Algorithm for High-Resolution Image Reconstruction with Multisensors. - Michael K. Ng 001; Andy M. Yip (Multidimens. Syst. Signal Process., 2001)

Comments on "Least squares restoration of multichannel images". - Michael K. Ng 001; Wilson C. Kwan (IEEE Trans. Signal Process., 2001)

Comparison of the main forms of half-quadratic regularization. - Michael K. Ng 001; Mila Nikolova (ICIP (1), 2002)

Parallel Image Processing Algorithms For Coincidence Doppler Broadening Spectra. - Michael K. P. Ng 001; King Fung Ho; Vincent K. W. Cheng; Christopher D. Beling; Chat Ming Woo (ICPP Workshops, 2002)

M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. - Michael K. Ng 001; Joshua Zhexue Huang (PAKDD, 2002)

Fast color image restoration with multisensors. - Michael K. Ng 001; Nirmal K. Bose (Int. J. Imaging Syst. Technol., 2002)

Constrained total least-squares computations for high-resolution image reconstruction with multisensors. - Michael K. Ng 001; Jaehoon Koo; Nirmal K. Bose (Int. J. Imaging Syst. Technol., 2002)

The best circulant preconditioners for Hermitian Toeplitz systems II: The multiple-zero case. - Raymond H. Chan; Michael K. Ng 001; Andy M. Yip (Numerische Mathematik, 2002)

Clustering categorical data sets using tabu search techniques. - Michael K. Ng 001; Joyce C. Wong (Pattern Recognit., 2002)

Fast Iterative Methods for Sinc Systems. - Michael K. Ng 001; Daniel Potts (SIAM J. Matrix Anal. Appl., 2002)

Defect Detection on Patterned Jacquard Fabric. - Henry Y. T. Ngan; Grantham K. H. Pang; S. P. Yung; Michael K. Ng 001 (AIPR, 2003)

Statistical models for time sequences data mining. - Jessica K. Ting; Michael K. Ng 001; Hongqiang Rong; Joshua Zhexue Huang (CIFEr, 2003)

A Direct Method for Block-Toeplitz Systems with Applications to Re-manufacturing Systems. - Wai-Ki Ching; Michael K. Ng 001; Wai-On Yuen (ICCSA (1), 2003)

A Parallel Tabu Search Heuristic for Clustering Data Sets. - Michael Ng 001 (ICPP Workshops, 2003)

Higher-Order Hidden Markov Models with Applications to DNA Sequences. - Wai-Ki Ching; Eric S. Fung; Michael K. Ng 001 (IDEAL, 2003)

A highly-usable projected clustering algorithm for gene expression profiles. - Kevin Y. Yip; David W. Cheung; Michael K. Ng 001 (BIOKDD, 2003)

A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps. - Pierre Kornprobst; Ronald R. Peeters; Mila Nikolova; Rachid Deriche; Michael Kwok-Po Ng; Paul Van Hecke (MICCAI (2), 2003)

A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules. - Edmond HaoCun Wu; Michael K. Ng 001 (PAKDD, 2003)

A Note on K-modes Clustering. - Zhexue Huang; Michael K. Ng 001 (J. Classif., 2003)

Superresolution image reconstruction from blurred observations by multisensors. - Wai-Ki Ching; Michael K. Ng 001; Kenton N. Sze; Andy C. Yau (Int. J. Imaging Syst. Technol., 2003)

A Data Cube Model for Prediction-Based Web Prefetching. - Qiang Yang 001; Joshua Zhexue Huang; Michael K. Ng 001 (J. Intell. Inf. Syst., 2003)

A higher-order Markov model for the Newsboy's problem. - W.-K. Ching; E. S. Fung; Michael K. Ng 001 (J. Oper. Res. Soc., 2003)

Preconditioners for nonsymmetric block toeplitz-like-plus-diagonal linear systems. - Zhong-Zhi Bai; Michael K. Ng 001 (Numerische Mathematik, 2003)

Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems. - Zhong-Zhi Bai; Gene H. Golub; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2003)

Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions. - James G. Nagy; Michael K. Ng 001; Lisa Perrone (SIAM J. Matrix Anal. Appl., 2003)

Recursive-Based PCG Methods for Toeplitz Systems with Nonnegative Generating Functions. - Michael K. Ng 001; Hai-Wei Sun; Xiao-Qing Jin (SIAM J. Sci. Comput., 2003)

Mathematical analysis of super-resolution methodology. - Michael K. Ng 001; Nirmal Kumar Bose (IEEE Signal Process. Mag., 2003)

An Efficient Multidimensional Data Model for Web Usage Mining. - Edmond HaoCun Wu; Michael K. Ng 001; Joshua Zhexue Huang (APWeb, 2004)

Restoration of images with optical aberrations and quantization in a transform domain. - Edmund Y. Lam; Michael K. Ng 001 (Computational Imaging, 2004)

Discretization of Multidimensional Web Data for Informative Dense Regions Discovery. - Edmond HaoCun Wu; Michael K. Ng 001; Andy M. Yip; Tony F. Chan (CIS, 2004)

On Improving Website Connectivity by Using Web-Log Data Streams. - Edmond HaoCun Wu; Michael K. Ng 001; Joshua Zhexue Huang (DASFAA, 2004)

Building Genetic Networks for Gene Expression Patterns. - Wai-Ki Ching; Eric S. Fung; Michael K. Ng 001 (IDEAL, 2004)

A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment. - Edmond HaoCun Wu; Michael K. Ng 001; Andy M. Yip; Tony F. Chan (IDEAL, 2004)

Unsupervised Dense Regions Discovery in DNA Microarray Data. - Andy M. Yip; Edmond HaoCun Wu; Michael K. Ng 001; Tony F. Chan (IDEAL, 2004)

A Feature Weighting Approach to Building Classification Models by Interactive Clustering. - Liping Jing; Joshua Zhexue Huang; Michael K. Ng 001; Hongqiang Rong (MDAI, 2004)

Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. - Qiming Huang; Qiang Yang 001; Joshua Zhexue Huang; Michael K. Ng 001 (PAKDD, 2004)

An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams. - Andy M. Yip; Edmond HaoCun Wu; Michael K. Ng 001; Tony F. Chan (PAKDD, 2004)

Exact algorithms for singular tridiagonal systems with applications to Markov chains. - Linzhang Lu; Wai-Ki Ching; Michael K. Ng 001 (Appl. Math. Comput., 2004)

Weighted Tikhonov filter matrices for ill-posed problems. - Yimin Wei 001; Michael K. Ng 001 (Appl. Math. Comput., 2004)

A note on the stability of Toeplitz matrix inversion formulas. - You-Wei Wen; Michael K. Ng 001; Wai-Ki Ching; Hong Liu (Appl. Math. Lett., 2004)

A data warehousing and data mining framework for web usage management. - Joshua Zhexue Huang; Michael K. Ng 001; Edmond HaoCun Wu (Commun. Inf. Syst., 2004)

Guest editorial. - Nirmal K. Bose; Raymond H. Chan; Michael K. Ng 001 (Int. J. Imaging Syst. Technol., 2004)

Wavelet algorithms for deblurring models. - Michael K. Ng 001; C. K. Sze; S. P. Yung (Int. J. Imaging Syst. Technol., 2004)

The use of super-resolution techniques to reduce slice thickness in functional MRI. - Ronald R. Peeters; Pierre Kornprobst; Mila Nikolova; Stefan Sunaert; Thierry Viéville; Grégoire Malandain; Rachid Deriche; Olivier D. Faugeras; Michael K. P. Ng 001; Paul Van Hecke (Int. J. Imaging Syst. Technol., 2004)

High-resolution image reconstruction from rotated and translated low-resolution images with multisensors. - You-Wei Wen; Michael K. Ng 001; Wai-Ki Ching (Int. J. Imaging Syst. Technol., 2004)

Identifying projected clusters from gene expression profiles. - Kevin Y. Yip; David W. Cheung; Michael K. Ng 001; Kei-Hoi Cheung (J. Biomed. Informatics, 2004)

Customer lifetime value: stochastic optimization approach. - Wai-Ki Ching; Michael K. Ng 001; Ka-Kuen Wong; Eitan Altman (J. Oper. Res. Soc., 2004)

Computing Moore-Penrose inverses of Toeplitz matrices by Newton's iteration. - Yimin Wei 001; Jianfeng Cai 001; Michael K. Ng 001 (Math. Comput. Model., 2004)

On sufficient and necessary conditions for the Jacobi matrix inverse eigenvalue problem. - Linzhang Lu; Michael K. Ng 001 (Numerische Mathematik, 2004)

An optimization algorithm for clustering using weighted dissimilarity measures. - Elaine Y. Chan; Wai-Ki Ching; Michael K. Ng 001; Joshua Zhexue Huang (Pattern Recognit., 2004)

Fast inversion of triangular Toeplitz matrices. - Fu-Rong Lin; Wai-Ki Ching; Michael K. Ng 001 (Theor. Comput. Sci., 2004)

HARP: A Practical Projected Clustering Algorithm. - Kevin Y. Yip; David W. Cheung; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2004)

A linear control model for gene intervention in a genetic regulatory network. - Shuqin Zhang; Michael K. Ng 001; Wai-Ki Ching; Tatsuya Akutsu (GrC, 2005)

Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration. - Haoying Fu; Michael K. Ng 001; Mila Nikolova; Jesse L. Barlow; Wai-Ki Ching (ICCSA (4), 2005)

On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering. - Kevin Y. Yip; David W. Cheung; Michael K. Ng 001 (ICDE, 2005)

Super-resolution image restoration from blurred observations. - Andy C. Yau; Nirmal K. Bose; Michael Kwok-Po Ng (ISCAS (6), 2005)

Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm. - Liping Jing; Michael K. Ng 001; Jun Xu; Joshua Zhexue Huang (PAKDD, 2005)

On the Performance of Feature Weighting K-Means for Text Subspace Clustering. - Liping Jing; Michael K. Ng 001; Jun Xu; Joshua Zhexue Huang (WAIM, 2005)

Iterative methods for Robbins problems. - Andy C. Ho; Michael K. Ng 001 (Appl. Math. Comput., 2005)

Image restoration by cosine transform-based iterative regularization. - Michael K. Ng 001; Wilson C. Kwan (Appl. Math. Comput., 2005)

CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs. - Sio Iong Ao; Kevin Y. Yip; Michael K. Ng 001; David Wai-Lok Cheung; Pui-Yee Fong; Ian Melhado; Pak Chung Sham (Bioinform., 2005)

An evaluation of algorithms for the deconvolution of Doppler broadening positron annihilation radiation spectroscopy spectra. - Teresa K. C. Woo; Vincent K. W. Cheng; Christopher D. Beling; Michael K. P. Ng 001 (Comput. Phys. Commun., 2005)

On construction of stochastic genetic networks based on gene expression sequences. - Wai-Ki Ching; Michael K. Ng 001; Eric S. Fung; Tatsuya Akutsu (Int. J. Neural Syst., 2005)

Super-Resolution Image Restoration from Blurred Low-Resolution Images. - Michael K. Ng 001; Andy C. Yau (J. Math. Imaging Vis., 2005)

The eigenvalues of preconditioned matrices for linear multistep formulas in boundary value form. - Daniele Bertaccini; You-Wei Wen; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2005)

Structured matrices with applications. - Raymond H. Chan; Wai-Ki Ching; Franklin T. Luk; Michael Kwok-Po Ng (Numer. Linear Algebra Appl., 2005)

Super-resolution image reconstruction using multisensors. - Wai-Ki Ching; Michael K. Ng 001; Kenton N. Sze; Andy C. Yau (Numer. Linear Algebra Appl., 2005)

A direct method for solving block-Toeplitz with near-circulant-block systems with applications to hybrid manufacturing systems. - Wai-Ki Ching; Michael K. Ng 001; Wai-On Yuen (Numer. Linear Algebra Appl., 2005)

Splitting iterations for circulant-plus-diagonal systems. - Man-Kiu Ho; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2005)

Numerical behaviour of multigrid methods for symmetric Sinc-Galerkin systems. - Michael K. Ng 001; Stefano Serra-Capizzano; Cristina Tablino Possio (Numer. Linear Algebra Appl., 2005)

Two-step waveform relaxation methods for implicit linear initial value problems. - Jianyu Pan; Zhong-Zhi Bai; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2005)

Displacement structure of group inverses. - Yimin Wei 001; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2005)

Automated Variable Weighting in k-Means Type Clustering. - Joshua Zhexue Huang; Michael K. Ng 001; Hongqiang Rong; Zichen Li (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Wavelet based methods on patterned fabric defect detection. - Henry Y. T. Ngan; Grantham K. H. Pang; S. P. Yung; Michael Kwok-Po Ng (Pattern Recognit., 2005)

On Inexact Preconditioners for Nonsymmetric Matrices. - Zhong-Zhi Bai; Michael K. Ng 001 (SIAM J. Sci. Comput., 2005)

Factorized Banded Inverse Preconditioners for Matrices with Toeplitz Structure. - Fu-Rong Lin; Michael K. Ng 001; Wai-Ki Ching (SIAM J. Sci. Comput., 2005)

Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery. - Mila Nikolova; Michael K. Ng 001 (SIAM J. Sci. Comput., 2005)

On the Complexity of Finding Control Strategies for Boolean Networks. - Tatsuya Akutsu; Morihiro Hayashida; Wai-Ki Ching; Michael K. Ng 001 (APBC, 2006)

A Recursive Method for Solving Haplotype Frequencies in Multiple Loci Linkage Analysis. - Michael K. Ng 001 (APBC, 2006)

Investigation of Computational Compound-Eye Imaging System With Super-Resolution Reconstruction. - Wai-San Chan; Edmund Y. Lam; Michael K. Ng 001 (ICASSP (4), 2006)

Clustering of SNP Data with Application to Genomics. - Michael K. Ng 001; Mark Junjie Li; Sio Iong Ao; Pak Chung Sham; Yiu-ming Cheung; Joshua Zhexue Huang (ICDM Workshops, 2006)

Input Validation for Semi-supervised Clustering. - Kevin Y. Yip; Michael K. Ng 001; David W. Cheung (ICDM Workshops, 2006)

Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction. - Wai-San Chan; Edmund Y. Lam; Michael K. Ng 001 (ICPR (3), 2006)

Fast solvers for queueing systems with negative customers. - You-Wei Wen; Wai-Ki Ching; Michael K. Ng 001 (VALUETOOLS, 2006)

Preface. - Zhong-Zhi Bai; Wai-Ki Ching; Michael K. Ng 001 (Appl. Math. Comput., 2006)

Effects of a parameter on a nonsymmetric algebraic Riccati equation. - Linzhang Lu; Michael K. Ng 001 (Appl. Math. Comput., 2006)

New preconditioners for saddle point problems. - Jianyu Pan; Michael K. Ng 001; Zhong-Zhi Bai (Appl. Math. Comput., 2006)

On Drazin inverse of singular Toeplitz matrix. - Yimin Wei 001; Huaian Diao; Michael K. Ng 001 (Appl. Math. Comput., 2006)

A Fast Algorithm for Image Super-Resolution from Blurred Observations. - Nirmal K. Bose; Michael Kwok-Po Ng; Andy C. Yau (EURASIP J. Adv. Signal Process., 2006)

Super-Resolution Imaging: Analysis, Algorithms, and Applications. - Michael K. P. Ng 001; Tony F. Chan; Moon Gi Kang; Peyman Milanfar (EURASIP J. Adv. Signal Process., 2006)

Regression for ordinal variables without underlying continuous variables. - Vicenç Torra; Josep Domingo-Ferrer; Josep Maria Mateo-Sanz; Michael K. Ng 001 (Inf. Sci., 2006)

A Recursive Method for Solving Haplotype Frequencies with Application to Genetics. - Michael K. Ng 001; Eric S. Fung; Yiu-Fai Lee; Wai-Ki Ching (J. Bioinform. Comput. Biol., 2006)

Preconditioned Iterative Methods for Weighted Toeplitz Least Squares Problems. - Michele Benzi; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2006)

Structured Total Least Squares for Color Image Restoration. - Haoying Fu; Michael K. Ng 001; Jesse L. Barlow (SIAM J. Sci. Comput., 2006)

Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration. - Haoying Fu; Michael K. Ng 001; Mila Nikolova; Jesse L. Barlow (SIAM J. Sci. Comput., 2006)

Gene expression time series modeling with principal component and neural network. - Sio Iong Ao; Michael K. Ng 001 (Soft Comput., 2006)

A Control Model for Markovian Genetic Regulatory Networks. - Michael K. Ng 001; Shuqin Zhang; Wai-Ki Ching; Tatsuya Akutsu (Trans. Comp. Sys. Biology, 2006)

Hermitian and Skew-Hermitian splitting methods for non-Hermitian positive definite linear systems. - Zhong-Zhi Bai; Michael K. Ng 001; Gene H. Golub (Milestones in Matrix Computation, 2007)

A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering. - Xiaodan Zhang 001; Liping Jing; Xiaohua Hu 001; Michael K. Ng 001; Xiaohua Zhou (DASFAA, 2007)

CIDER: Corrected Inverse-Denoising Filter for Image Restoration. - You-Wei Wen; Michael K. Ng 001; Wai-Ki Ching (EMMCVPR, 2007)

Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks. - Xiaohua Hu 001; Fang-Xiang Wu; Michael K. Ng 001; Bahrad A. Sokhansanj (IC-AI, 2007)

Maximum inverse positive matrices. - Linzhang Lu; Michael K. Ng 001 (Appl. Math. Lett., 2007)

Tikhonov regularization for weighted total least squares problems. - Yimin Wei 001; Naimin Zhang; Michael K. Ng 001; Wei Xu (Appl. Math. Lett., 2007)

An approximation method for solving the steady-state probability distribution of probabilistic Boolean networks. - Wai-Ki Ching; Shuqin Zhang; Michael K. Ng 001; Tatsuya Akutsu (Bioinform., 2007)

Combining functional and linkage disequilibrium information in the selection of tag SNPs. - Pak Chung Sham; Sio Iong Ao; Johnny S. H. Kwan; P. Kao; F. Cheung; Pui-Yee Fong; Michael K. Ng 001 (Bioinform., 2007)

Constrained unidimensional scaling with application to genomics. - Sio Iong Ao; Michael K. Ng 001; Pak Chung Sham (Comput. Stat. Data Anal., 2007)

A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video. - Michael K. Ng 001; Huanfeng Shen; Edmund Y. Lam; Liangpei Zhang 001 (EURASIP J. Adv. Signal Process., 2007)

Algorithms for Finding Small Attractors in Boolean Networks. - Shuqin Zhang; Morihiro Hayashida; Tatsuya Akutsu; Wai-Ki Ching; Michael Kwok-Po Ng (EURASIP J. Bioinform. Syst. Biol., 2007)

On mining micro-array data by Order-Preserving Submatrix. - Lin Cheung; David W. Cheung; Ben Kao; Kevin Y. Yip; Michael K. Ng 001 (Int. J. Bioinform. Res. Appl., 2007)

Simulation study in Probabilistic Boolean Network models for genetic regulatory networks. - Shuqin Zhang; Wai-Ki Ching; Michael K. Ng 001; Tatsuya Akutsu (Int. J. Data Min. Bioinform., 2007)

On Semismooth Newton's Methods for Total Variation Minimization. - Michael K. Ng 001; Liqun Qi 001; Yu-Fei Yang; Yu-Mei Huang (J. Math. Imaging Vis., 2007)

Super-resolution reconstruction in a computational compound-eye imaging system. - Wai-San Chan; Edmund Y. Lam; Michael K. Ng 001; Giuseppe Y. Mak (Multidimens. Syst. Signal Process., 2007)

Superresolution imaging: Theory, Algorithms and Applications. - Michael K. Ng 001; Edmund Y. Lam; Chong-Sze Tong (Multidimens. Syst. Signal Process., 2007)

An efficient algorithm for superresolution in medium field imaging. - Andy C. Yau; N. K. Bose; Michael K. Ng 001 (Multidimens. Syst. Signal Process., 2007)

On successive-overrelaxation acceleration of the Hermitian and skew-Hermitian splitting iterations. - Zhong-Zhi Bai; Gene H. Golub; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2007)

On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. - Michael K. Ng 001; Mark Junjie Li; Joshua Zhexue Huang; Zengyou He (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

A semi-supervised regression model for mixed numerical and categorical variables. - Michael K. Ng 001; Elaine Y. Chan; Meko M. C. So; Wai-Ki Ching (Pattern Recognit., 2007)

Block Diagonal and Schur Complement Preconditioners for Block-Toeplitz Systems with Small Size Blocks. - Wai-Ki Ching; Michael K. Ng 001; You-Wei Wen (SIAM J. Matrix Anal. Appl., 2007)

On Preconditioned Iterative Methods for Burgers Equations. - Zhong-Zhi Bai; Yu-Mei Huang; Michael K. Ng 001 (SIAM J. Sci. Comput., 2007)

Strategies for Identifying Statistically Significant Dense Regions in Microarray Data. - Andy M. Yip; Michael K. Ng 001; Edmond HaoCun Wu; Tony F. Chan (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data. - Liping Jing; Michael K. Ng 001; Joshua Zhexue Huang (IEEE Trans. Knowl. Data Eng., 2007)

Developing a Knowledge-based Intelligent Services System in Sports Websites. - Edmond HaoCun Wu; Michael K. Ng 001 (E-Service Intelligence, 2007)

Clustering Algorithms with Automatic Selection of Cluster Number. - Michael Ng 001 (GrC, 2008)

Unidimensional nonnegative scaling for genome-wide Linkage Disequilibrium maps. - Haiyong Liao; Michael K. Ng 001; Eric S. Fung; Pak Chung Sham (Int. J. Bioinform. Res. Appl., 2008)

Medical Document Clustering Using Ontology-Based Term Similarity Measures. - Xiaodan Zhang 001; Liping Jing; Xiaohua Hu 001; Michael K. Ng 001; Jiali Xia Jiangxi; Xiaohua Zhou (Int. J. Data Warehous. Min., 2008)

A Fast Total Variation Minimization Method for Image Restoration. - Yu-Mei Huang; Michael K. Ng 001; You-Wei Wen (Multiscale Model. Simul., 2008)

Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization. - Mila Nikolova; Michael K. Ng 001; Shuqin Zhang; Wai-Ki Ching (SIAM J. Imaging Sci., 2008)

Iterative Algorithms Based on Decoupling of Deblurring and Denoising for Image Restoration. - You-Wei Wen; Michael K. Ng 001; Wai-Ki Ching (SIAM J. Sci. Comput., 2008)

Efficient Total Variation Minimization Methods for Color Image Restoration. - You-Wei Wen; Michael K. Ng 001; Yu-Mei Huang (IEEE Trans. Image Process., 2008)

Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. - Mark Junjie Li; Michael K. Ng 001; Yiu-ming Cheung; Joshua Zhexue Huang (IEEE Trans. Knowl. Data Eng., 2008)

Budget Semi-supervised Learning. - Zhi-Hua Zhou; Michael K. Ng 001; Qiao-Qiao She; Yuan Jiang 001 (PAKDD, 2009)

L0-Norm and Total Variation for Wavelet Inpainting. - Andy C. Yau; Xue-Cheng Tai; Michael K. Ng 001 (SSVM, 2009)

Super-Resolution Reconstruction Algorithm To MODIS Remote Sensing Images. - Huanfeng Shen; Michael K. Ng 001; Pingxiang Li; Liangpei Zhang 001 (Comput. J., 2009)

A high-order Markov-switching model for risk measurement. - Tak Kuen Siu; Wai-Ki Ching; Eric S. Fung; Michael K. Ng 001; Xun Li 002 (Comput. Math. Appl., 2009)

A semi-supervised approach to projected clustering with applications to microarray data. - Kevin Y. Yip; Lin Cheung; David W. Cheung; Liping Jing; Michael K. Ng 001 (Int. J. Data Min. Bioinform., 2009)

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. - Liping Jing; Mark Junjie Li; Michael K. Ng 001; Yiu-ming Cheung; Joshua Zhexue Huang (Int. J. Data Min. Model. Manag., 2009)

A new fuzzy k-modes clustering algorithm for categorical data. - Michael K. Ng 001; Liping Jing (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009)

Analyses and Algorithms for Predecessor and Control Problems for Boolean Networks of Bounded Indegree. - Tatsuya Akutsu; Morihiro Hayashida; Shuqin Zhang; Wai-Ki Ching; Michael K. Ng 001 (Inf. Media Technol., 2009)

A New Total Variation Method for Multiplicative Noise Removal. - Yu-Mei Huang; Michael K. Ng 001; You-Wei Wen (SIAM J. Imaging Sci., 2009)

Constraint Preconditioners for Symmetric Indefinite Matrices. - Zhong-Zhi Bai; Michael K. Ng 001; Zeng-Qi Wang (SIAM J. Matrix Anal. Appl., 2009)

Finding the Largest Eigenvalue of a Nonnegative Tensor. - Michael K. P. Ng 001; Liqun Qi 001; Guanglu Zhou (SIAM J. Matrix Anal. Appl., 2009)

On Preconditioned Iterative Methods for Certain Time-Dependent Partial Differential Equations. - Zhong-Zhi Bai; Yu-Mei Huang; Michael K. Ng 001 (SIAM J. Numer. Anal., 2009)

A Fast l1-TV Algorithm for Image Restoration. - Xiaoxia Guo; Fang Li 004; Michael K. Ng 001 (SIAM J. Sci. Comput., 2009)

Fast Image Restoration Methods for Impulse and Gaussian Noises Removal. - Yu-Mei Huang; Michael K. Ng 001; You-Wei Wen (IEEE Signal Process. Lett., 2009)

Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study. - Xiaohua Hu 001; Michael K. Ng 001; Fang-Xiang Wu; Bahrad A. Sokhansanj (IEEE Trans. Inf. Technol. Biomed., 2009)

Soft Subspace Clustering for High-Dimensional Data. - Liping Jing; Michael K. Ng 001; Joshua Zhexue Huang (Encyclopedia of Data Warehousing and Mining, 2009)

Medical Document Clustering Using Ontology-Based Term Similarity Measures. - Xiaodan Zhang 001; Liping Jing; Xiaohua Hu 001; Michael K. Ng 001; Jiali Xia; Xiaohua Zhou (Strategic Advancements in Utilizing Data Mining and Warehousing Technologies, 2010)

Multi-Instance Dimensionality Reduction. - Yu-Yin Sun; Michael K. Ng 001; Zhi-Hua Zhou (AAAI, 2010)

SNP specific extraction and analysis using shrunken dissimilarity measure. - Yang Liu 100; Michael K. Ng 001; Jin Zhou (BCB, 2010)

Classification of genome-wide copy number variations and their associated SNP and gene networks analysis. - Yang Liu 100; Yiu-Fai Lee; Michael K. Ng 001 (BIBM, 2010)

Fast total variation image restoration with parameter estimation using bayesian inference. - Bruno Amizic; S. Derin Babacan; Michael K. Ng 001; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2010)

Exploiting Word Cluster Information for Unsupervised Feature Selection. - Qingyao Wu; Yunming Ye; Michael K. Ng 001; Hanjing Su; Joshua Zhexue Huang (PRICAI, 2010)

Hyperspectral image segmentation, deblurring, and spectral analysis for material identification. - Fang Li 004; Michael K. Ng 001; Robert J. Plemmons; Sudhakar Prasad; Qiang Zhang (Visual Information Processing, 2010)

Product-type block preconditioners for electromagnetic cavity problems. - Yu-Mei Huang; Michael K. Ng 001 (Appl. Math. Comput., 2010)

Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology. - Liping Jing; Michael K. Ng 001 (BMC Bioinform., 2010)

Shrunken methodology to genome-wide SNPs selection and construction of SNPs networks. - Yang Liu 100; Michael K. Ng 001 (BMC Syst. Biol., 2010)

Numerical methods for interactive multiple-class image segmentation problems. - Michael K. Ng 001; Guoping Qiu; Andy M. Yip (Int. J. Imaging Syst. Technol., 2010)

SKM-SNP: SNP markers detection method. - Yang Liu 100; Mark Junjie Li; Yiu-ming Cheung; Pak Chung Sham; Michael K. Ng 001 (J. Biomed. Informatics, 2010)

Knowledge-based vector space model for text clustering. - Liping Jing; Michael K. Ng 001; Joshua Zhexue Huang (Knowl. Inf. Syst., 2010)

Inverse product Toeplitz preconditioners for non-Hermitian Toeplitz systems. - Fu-Rong Lin; Michael K. Ng 001 (Numer. Algorithms, 2010)

On cluster tree for nested and multi-density data clustering. - Xutao Li; Yunming Ye; Mark Junjie Li; Michael K. Ng 001 (Pattern Recognit., 2010)

Variational Fuzzy Mumford–Shah Model for Image Segmentation. - Fang Li 004; Michael K. Ng 001; Chunming Li (SIAM J. Appl. Math., 2010)

Multiplicative Noise Removal with Spatially Varying Regularization Parameters. - Fang Li 004; Michael K. Ng 001; Chaomin Shen 001 (SIAM J. Imaging Sci., 2010)

A Multiphase Image Segmentation Method Based on Fuzzy Region Competition. - Fang Li 004; Michael K. Ng 001; Tieyong Zeng; Chunli Shen (SIAM J. Imaging Sci., 2010)

Decay in Functions of Multiband Matrices. - Nicola Mastronardi; Michael K. Ng 001; E. E. Tyrtyshnikov (SIAM J. Matrix Anal. Appl., 2010)

Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis. - Lei-Hong Zhang; Li-Zhi Liao; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2010)

Approximate Inverse Circulant-plus-Diagonal Preconditioners for Toeplitz-plus-Diagonal Matrices. - Michael K. Ng 001; Jianyu Pan (SIAM J. Sci. Comput., 2010)

Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods. - Michael K. Ng 001; Pierre Weiss; Xiaoming Yuan 001 (SIAM J. Sci. Comput., 2010)

Accurate Vascular Delay Estimation from Low-Temporal Resolution Image Data Set [Life Sciences]. - Kelvin Wong; Chi-Pan Tam; Michael K. Ng 001 (IEEE Signal Process. Mag., 2010)

Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction. - Mila Nikolova; Michael K. Ng 001; Chi-Pan Tam (IEEE Trans. Image Process., 2010)

On the Total Variation Dictionary Model. - Tieyong Zeng; Michael K. Ng 001 (IEEE Trans. Image Process., 2010)

Construction of gene networks with hybrid approach from expression profile and gene ontology. - Liping Jing; Michael K. Ng 001; Ying Liu 007 (IEEE Trans. Inf. Technol. Biomed., 2010)

Stratified Random Forest for Genome-wide Association Study. - Qingyao Wu; Yunming Ye; Yang Liu 100; Michael K. Ng 001 (BIBM, 2011)

MultiRank: co-ranking for objects and relations in multi-relational data. - Michael Kwok-Po Ng; Xutao Li; Yunming Ye (KDD, 2011)

On selection of spatial-varying regularization parameters in total variation image restoration. - Wai Lam Fong; Michael K. Ng 001 (nDS, 2011)

On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation. - Liping Jing; Michael K. Ng 001; Tieyong Zeng (Adv. Data Sci. Adapt. Anal., 2011)

Approximate inverse-free preconditioners for Toeplitz matrices. - You-Wei Wen; Wai-Ki Ching; Michael K. Ng 001 (Appl. Math. Comput., 2011)

SNP and gene networks construction and analysis from classification of copy number variations data. - Yang Liu 100; Yiu Lee; Michael K. Ng 001 (BMC Bioinform., 2011)

Compression and denoising using l0-norm. - Andy C. Yau; Xue-Cheng Tai; Michael K. Ng 001 (Comput. Optim. Appl., 2011)

A Relaxed Dimensional Factorization preconditioner for the incompressible Navier-Stokes equations. - Michele Benzi; Michael K. Ng 001; Qiang Niu; Zhen Wang 039 (J. Comput. Phys., 2011)

Fast minimization methods for solving constrained total-variation superresolution image reconstruction. - Michael K. Ng 001; Fan Wang; Xiao-Ming Yuan 001 (Multidimens. Syst. Signal Process., 2011)

On sparse linear discriminant analysis algorithm for high-dimensional data classification. - Michael K. Ng 001; Li-Zhi Liao; Lei-Hong Zhang (Numer. Linear Algebra Appl., 2011)

Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization. - Yu Xiao; Tieyong Zeng; Jian Yu 001; Michael K. Ng 001 (Pattern Recognit., 2011)

A Total Variation Model for Retinex. - Michael K. Ng 001; Wei Wang 132 (SIAM J. Imaging Sci., 2011)

Inexact Alternating Direction Methods for Image Recovery. - Michael K. Ng 001; Fan Wang; Xiaoming Yuan 001 (SIAM J. Sci. Comput., 2011)

Blind Deconvolution Using Generalized Cross-Validation Approach to Regularization Parameter Estimation. - Haiyong Liao; Michael K. Ng 001 (IEEE Trans. Image Process., 2011)

MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension. - Xutao Li; Yunming Ye; Qingyao Wu; Michael K. Ng 001 (BIBM, 2012)

Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation. - Hongmin Cai; Michael Kwok-Po Ng (ICDKE, 2012)

Construction and analysis of genome-wide SNP networks. - Yang Liu 100; Jin Zhou; Zhi-Ping Liu; Luonan Chen; Michael K. Ng 001 (ISB, 2012)

Feature Weighting by RELIEF Based on Local Hyperplane Approximation. - Hongmin Cai; Michael K. P. Ng 001 (PAKDD (2), 2012)

HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search. - Xutao Li; Michael K. Ng 001; Yunming Ye (SDM, 2012)

GIS in urban cultural studies: reflections from the project on Republican Beijing. - Billy K. L. So; Michael Kwok-Po Ng; Peiyao Zhang; Hui Lin (Ann. GIS, 2012)

On computation of the steady-state probability distribution of probabilistic Boolean networks with gene perturbation. - Wen Li 006; Lu-Bin Cui; Michael K. Ng 001 (J. Comput. Appl. Math., 2012)

Erratum. - Zhong-Zhi Bai; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2012)

Coupled segmentation and denoising/deblurring models for hyperspectral material identification. - Fang Li 004; Michael K. Ng 001; Robert J. Plemmons (Numer. Linear Algebra Appl., 2012)

Structured matrices and tensors. - Michael K. Ng 001; Raymond H. Chan; Xiaojun Chen 001; Liqun Qi 001; Franklin T. Luk; Eugene Tyrtyshnikov (Numer. Linear Algebra Appl., 2012)

On adaptively accelerated Arnoldi method for computing PageRank. - Jun-Feng Yin; Guo-Jian Yin; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2012)

Perturbation Analysis for Antitriangular Schur Decomposition. - Xiao-Shan Chen; Wen Li 006; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2012)

Sparse Orthogonal Linear Discriminant Analysis. - Delin Chu; Li-Zhi Liao; Michael K. Ng 001 (SIAM J. Sci. Comput., 2012)

Guest Editorial: Bioinformatics and Computational Systems Biology. - Luonan Chen; Michael K. Ng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Non-Lipschitz lp-Regularization and Box Constrained Model for Image Restoration. - Xiaojun Chen 001; Michael K. Ng 001; Chao Zhang 056 (IEEE Trans. Image Process., 2012)

Multiplicative Noise Removal via a Learned Dictionary. - Yu-Mei Huang; Lionel Moisan; Michael K. Ng 001; Tieyong Zeng (IEEE Trans. Image Process., 2012)

SNMFCA: Supervised NMF-Based Image Classification and Annotation. - Liping Jing; Chao Zhang 056; Michael K. Ng 001 (IEEE Trans. Image Process., 2012)

A Semisupervised Segmentation Model for Collections of Images. - Yan Nei Law; Hwee Kuan Lee; Michael K. Ng 001; Andy M. Yip (IEEE Trans. Image Process., 2012)

A Variational Method for Multiple-Image Blending. - Wei Wang 132; Michael K. Ng 001 (IEEE Trans. Image Process., 2012)

A Variational Method for Expanding the Bit-Depth of Low Contrast Image. - Motong Qiao; Wei Wang 132; Michael K. Ng 001 (EMMCVPR, 2013)

Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm. - Chenyang Shen; Liping Jing; Michael K. Ng 001 (EMMCVPR, 2013)

A fast minimization method for blur and multiplicative noise removal. - Fan Wang; Michael K. Ng 001 (Int. J. Comput. Math., 2013)

Superlinear Convergence of a General Algorithm for the Generalized Foley-Sammon Discriminant Analysis. - Lei-Hong Zhang; Li-Zhi Liao; Michael K. Ng 001 (J. Optim. Theory Appl., 2013)

Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm. - Qingyao Wu; Michael K. Ng 001; Yunming Ye (Knowl. Inf. Syst., 2013)

The perturbation bound for the Perron vector of a transition probability tensor. - Wen Li 006; Lu-Bin Cui; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2013)

The spectral theory of tensors and its applications. - Lek-Heng Lim; Michael K. Ng 001; Liqun Qi 001 (Numer. Linear Algebra Appl., 2013)

Sparse Canonical Correlation Analysis: New Formulation and Algorithm. - Delin Chu; Li-Zhi Liao; Michael K. Ng 001; Xiaowei Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Stratified sampling for feature subspace selection in random forests for high dimensional data. - Yunming Ye; Qingyao Wu; Joshua Zhexue Huang; Michael K. Ng 001; Xutao Li (Pattern Recognit., 2013)

A Variational Approach for Image Stitching II: Using Image Gradients. - Michael K. Ng 001; Wei Wang 132 (SIAM J. Imaging Sci., 2013)

A Variational Approach for Image Stitching I. - Wei Wang 132; Michael K. Ng 001 (SIAM J. Imaging Sci., 2013)

A Variational Histogram Equalization Method for Image Contrast Enhancement. - Wei Wang 132; Michael K. Ng 001 (SIAM J. Imaging Sci., 2013)

On 퓁1 Data Fitting and Concave Regularization for Image Recovery. - Mila Nikolova; Michael K. Ng 001; Chi-Pan Tam (SIAM J. Sci. Comput., 2013)

Total Variation Structured Total Least Squares Method for Image Restoration. - Xi-Le Zhao; Wei Wang 132; Tieyong Zeng; Ting-Zhu Huang; Michael K. Ng 001 (SIAM J. Sci. Comput., 2013)

Deblurring and Sparse Unmixing for Hyperspectral Images. - Xi-Le Zhao; Fan Wang; Ting-Zhu Huang; Michael K. Ng 001; Robert J. Plemmons (IEEE Trans. Geosci. Remote. Sens., 2013)

Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels. - Michael K. Ng 001; Xiaoming Yuan 001; Wenxing Zhang (IEEE Trans. Image Process., 2013)

Transductive Multilabel Learning via Label Set Propagation. - Xiangnan Kong; Michael K. Ng 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2013)

Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering. - Liping Jing; Michael K. Ng 001; Tieyong Zeng (IEEE Trans. Neural Networks Learn. Syst., 2013)

Mixed-Transfer: Transfer Learning over Mixed Graphs. - Ben Tan; Erheng Zhong; Michael K. Ng 001; Qiang Yang 001 (SDM, 2014)

The Perturbation Bound for the Spectral Radius of a Nonnegative Tensor. - Wen Li 006; Michael K. Ng 001 (Adv. Numer. Anal., 2014)

Feature weight estimation for gene selection: a local hyperlinear learning approach. - Hongmin Cai; Peiying Ruan; Michael Kwok-Po Ng; Tatsuya Akutsu (BMC Bioinform., 2014)

Collective prediction of protein functions from protein-protein interaction networks. - Qingyao Wu; Yunming Ye; Michael K. Ng 001; Shen-Shyang Ho; Ruichao Shi (BMC Bioinform., 2014)

Cotransfer Learning Using Coupled Markov Chains with Restart. - Qingyao Wu; Michael K. Ng 001; Yunming Ye (IEEE Intell. Syst., 2014)

On condition numbers of the spectral projections associated with periodic eigenproblems. - Xiao-Shan Chen; Wen Li; Michael K. Ng 001 (J. Comput. Appl. Math., 2014)

Multi-label collective classification via Markov chain based learning method. - Qingyao Wu; Michael K. Ng 001; Yunming Ye; Xutao Li; Ruichao Shi; Yan Li 040 (Knowl. Based Syst., 2014)

ForesTexter: An efficient random forest algorithm for imbalanced text categorization. - Qingyao Wu; Yunming Ye; Haijun Zhang 002; Michael K. Ng 001; Shen-Shyang Ho (Knowl. Based Syst., 2014)

A Variational Approach for Image Decolorization by Variance Maximization. - Zhengmeng Jin; Fang Li 004; Michael K. Ng 001 (SIAM J. Imaging Sci., 2014)

A New Convex Optimization Model for Multiplicative Noise and Blur Removal. - Xi-Le Zhao; Fan Wang; Michael K. Ng 001 (SIAM J. Imaging Sci., 2014)

Birkhoff-von Neumann Theorem for Multistochastic Tensors. - Lu-Bin Cui; Wen Li; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2014)

Weighted Toeplitz Regularized Least Squares Computation for Image Restoration. - Michael K. Ng 001; Jianyu Pan (SIAM J. Sci. Comput., 2014)

Preconditioning Techniques for Diagonal-times-Toeplitz Matrices in Fractional Diffusion Equations. - Jianyu Pan; Rihuan Ke; Michael K. Ng 001; Hai-Wei Sun (SIAM J. Sci. Comput., 2014)

Patterned Fabric Inspection and Visualization by the Method of Image Decomposition. - Michael K. Ng 001; Henry Y. T. Ngan; Xiaoming Yuan 001; Wenxing Zhang (IEEE Trans Autom. Sci. Eng., 2014)

Sparse Label-Indicator Optimization Methods for Image Classification. - Liping Jing; Michael K. Ng 001 (IEEE Trans. Image Process., 2014)

MultiComm: Finding Community Structurein Multi-Dimensional Networks. - Xutao Li; Michael K. Ng 001; Yunming Ye (IEEE Trans. Knowl. Data Eng., 2014)

Reducing Artifacts in JPEG Decompression Via a Learned Dictionary. - Huibin Chang; Michael K. Ng 001; Tieyong Zeng (IEEE Trans. Signal Process., 2014)

Semi-supervised low-rank mapping learning for multi-label classification. - Liping Jing; Liu Yang; Jian Yu 001; Michael K. Ng 001 (CVPR, 2015)

A fast direct method for block triangular Toeplitz-like with tri-diagonal block systems from time-fractional partial differential equations. - Rihuan Ke; Michael K. Ng 001; Hai-Wei Sun (J. Comput. Phys., 2015)

Tone mapping for high-dynamic-range images using localized gamma correction. - Motong Qiao; Michael K. Ng 001 (J. Electronic Imaging, 2015)

A contrast maximization method for color-to-grayscale conversion. - Zhengmeng Jin; Michael K. Ng 001 (Multidimens. Syst. Signal Process., 2015)

Multiple networks modules identification by a multi-dimensional Markov chain method. - Chenyang Shen; JunJun Pan; Shuqin Zhang; Michael K. Ng 001 (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Total variation based tensor decomposition for multi-dimensional data with time dimension. - Chuan Chen 001; Xutao Li; Michael K. Ng 001; Xiaoming Yuan 001 (Numer. Linear Algebra Appl., 2015)

Median filtering-based methods for static background extraction from surveillance video. - Xinxin Li; Michael K. Ng 001; Xiaoming Yuan 001 (Numer. Linear Algebra Appl., 2015)

Dedication to Robert J. Plemmons. - James G. Nagy; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2015)

Some bounds for the spectral radius of nonnegative tensors. - Wen Li 006; Michael K. Ng 001 (Numerische Mathematik, 2015)

Subspace clustering using affinity propagation. - Guojun Gan; Michael Kwok-Po Ng (Pattern Recognit., 2015)

Subspace clustering with automatic feature grouping. - Guojun Gan; Michael Kwok-Po Ng (Pattern Recognit., 2015)

Functional Module Analysis for Gene Coexpression Networks with Network Integration. - Shuqin Zhang; Hongyu Zhao 003; Michael K. Ng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Alternating Direction Method of Multipliers for Nonlinear Image Restoration Problems. - Chuan Chen 001; Michael K. Ng 001; Xi-Le Zhao (IEEE Trans. Image Process., 2015)

On the Convergence of Nonconvex Minimization Methods for Image Recovery. - Jin Xiao; Michael Kwok-Po Ng; Yu-Fei Yang (IEEE Trans. Image Process., 2015)

Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning. - Liu Yang; Liping Jing; Michael K. Ng 001 (IEEE Trans. Image Process., 2015)

Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons. - Delin Chu; Li-Zhi Liao; Michael Kwok-Po Ng; Xiaoyan Wang (IEEE Trans. Neural Networks Learn. Syst., 2015)

Gene-microRNA network module analysis for ovarian cancer. - Shuqin Zhang; Michael K. Ng 001 (BMC Syst. Biol., 2016)

A fast Markov chain based algorithm for MIML learning. - Michael K. Ng 001; Qingyao Wu; Chenyang Shen (Neurocomputing, 2016)

A discriminative and sparse topic model for image classification and annotation. - Liu Yang; Liping Jing; Michael K. Ng 001; Jian Yu 001 (Image Vis. Comput., 2016)

A fast accurate approximation method with multigrid solver for two-dimensional fractional sub-diffusion equation. - Xue-lei Lin; Xin Lu; Michael K. Ng 001; Hai-Wei Sun (J. Comput. Phys., 2016)

Disintermediator or another intermediary? E-simulation platform for professional legal education at University of Hong Kong. - Wilson Chow; Michael Ng 001 (Eur. J. Law Technol., 2016)

An image pixel based variational model for histogram equalization. - Wei Wang 132; Chuan Chen 001; Michael K. Ng 001 (J. Vis. Commun. Image Represent., 2016)

A spatially variant total variational model for chromatic aberration correction. - Ling Pi; Wei Wang 132; Michael K. Ng 001 (J. Vis. Commun. Image Represent., 2016)

A cartoon-plus-texture image decomposition model for blind deconvolution. - Wei Wang 132; Xile Zhao; Michael K. Ng 001 (Multidimens. Syst. Signal Process., 2016)

Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization. - Huibin Chang; Yifei Lou; Michael K. Ng 001; Tieyong Zeng (SIAM J. Sci. Comput., 2016)

Fast Iterative Solvers for Linear Systems Arising from Time-Dependent Space-Fractional Diffusion Equations. - Jianyu Pan; Michael K. Ng 001; Hong Wang 018 (SIAM J. Sci. Comput., 2016)

Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data. - Xiaowei Zhang 002; Li Cheng 001; Delin Chu; Li-Zhi Liao; Michael K. Ng 001; Roger C. E. Tan (SIAM J. Sci. Comput., 2016)

Convex regularized inverse filtering methods for blind image deconvolution. - Wei Wang 132; Michael K. Ng 001 (Signal Image Video Process., 2016)

MultiVCRank With Applications to Image Retrieval. - Xutao Li; Yunming Ye; Michael K. Ng 001 (IEEE Trans. Image Process., 2016)

Multiplicative Noise and Blur Removal by Framelet Decomposition and l1-Based L-Curve Method. - Fan Wang; Xi-Le Zhao; Michael K. Ng 001 (IEEE Trans. Image Process., 2016)

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. - Qingyao Wu; Mingkui Tan; Hengjie Song; Jian Chen 011; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2016)

Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. - Liu Yang; Liping Jing; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Tensor Based Relations Ranking for Multi-relational Collective Classification. - Chao Han 002; Qingyao Wu; Michael K. Ng 001; Jiezhang Cao; Mingkui Tan; Jian Chen 011 (ICDM, 2017)

Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening. - Yancong Wei; Qiangqiang Yuan; Xiangchao Meng; Huanfeng Shen; Liangpei Zhang 001; Michael Kwok-Po Ng (IGARSS, 2017)

Miss data reconstruction in remote sensing images with a double weighted tensor low rank model. - Qiangqiang Yuan; Michael K. Ng 001; Huanfeng Shen; Liangpei Zhang 001; Jie Li 022 (IGARSS, 2017)

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. - Yuguang Yan; Wen Li 001; Michael K. P. Ng 001; Mingkui Tan; Hanrui Wu; Huaqing Min; Qingyao Wu (IJCAI, 2017)

Drug-target interaction prediction by integrating multiview network data. - Xin Zhang 054; Limin Li; Michael K. Ng 001; Shuqin Zhang (Comput. Biol. Chem., 2017)

A divide-and-conquer fast finite difference method for space-time fractional partial differential equation. - Hongfei Fu 002; Michael K. Ng 001; Hong Wang 018 (Comput. Math. Appl., 2017)

Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization. - Jonathan Q. Jiang; Michael K. Ng 001 (CoRR, 2017)

Parallel Active Subspace Decomposition for Scalable and Efficient Tensor Robust Principal Component Analysis. - Jonathan Q. Jiang; Michael K. Ng 001 (CoRR, 2017)

A multigrid method for linear systems arising from time-dependent two-dimensional space-fractional diffusion equations. - Xue-lei Lin; Michael K. Ng 001; Hai-Wei Sun (J. Comput. Phys., 2017)

Block linear discriminant analysis for visual tensor objects with frequency or time information. - Xutao Li; Michael K. Ng 001; Yunming Ye; Eric Ke Wang; Xiaofei Xu (J. Vis. Commun. Image Represent., 2017)

Fast preconditioned iterative methods for finite volume discretization of steady-state space-fractional diffusion equations. - Jianyu Pan; Michael K. P. Ng 001; Hong Wang 018 (Numer. Algorithms, 2017)

Block spectral clustering for multiple graphs with inter-relation. - Chuan Chen 001; Michael K. Ng 001; Shuqin Zhang (Netw. Model. Anal. Health Informatics Bioinform., 2017)

Block spectral clustering methods for multiple graphs. - Chuan Chen 001; Michael K. Ng 001; Shuqin Zhang (Numer. Linear Algebra Appl., 2017)

The uniqueness of multilinear PageRank vectors. - Wen Li 006; Dongdong Liu; Michael K. Ng 001; Seak-Weng Vong (Numer. Linear Algebra Appl., 2017)

A variational approach for restoring images corrupted by noisy blur kernels and additive noise. - Michael K. Ng 001; Wei Wang 132; Xile Zhao (Numer. Linear Algebra Appl., 2017)

k-means clustering with outlier removal. - Guojun Gan; Michael Kwok-Po Ng (Pattern Recognit. Lett., 2017)

Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations. - Michael K. Ng 001; Henry Y. T. Ngan; Xiaoming Yuan 001; Wenxing Zhang (SIAM J. Imaging Sci., 2017)

Nonconvex-TV Based Image Restoration with Impulse Noise Removal. - Xiongjun Zhang; Minru Bai; Michael K. Ng 001 (SIAM J. Imaging Sci., 2017)

A Splitting Preconditioner for Toeplitz-Like Linear Systems Arising from Fractional Diffusion Equations. - Xue-lei Lin; Michael K. Ng 001; Hai-Wei Sun (SIAM J. Matrix Anal. Appl., 2017)

Robust Data Assimilation Using L1 and Huber Norms. - Vishwas Rao; Adrian Sandu; Michael Ng 001; Elias David Niño Ruiz (SIAM J. Sci. Comput., 2017)

An Adaptive Weighted Tensor Completion Method for the Recovery of Remote Sensing Images With Missing Data. - Michael Kwok-Po Ng; Qiangqiang Yuan; Li Yan 003; Jing Sun (IEEE Trans. Geosci. Remote. Sens., 2017)

Multi-Label Classification by Semi-Supervised Singular Value Decomposition. - Liping Jing; Chenyang Shen; Liu Yang; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Image Process., 2017)

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation. - Xutao Li; Michael K. Ng 001; Gao Cong; Yunming Ye; Qingyao Wu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Outlier Detection in Large-Scale Traffic Data by Regression Analysis. - Philip Lam; Lili Wang; Henry Y. T. Ngan; Nelson H. C. Yung; Michael K. Ng 001 (IRIACV, 2018)

Accumulated Relative Density Outlier Detection For Large Scale Traffic Data. - Sophia W. T. T. Liu; Henry Y. T. Ngan; Michael K. Ng 001; Steven J. Simske (IRIACV, 2018)

Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization. - JunJun Pan; Michael K. Ng 001; Xiongjun Zhang (ICPR, 2018)

Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. - Siyu Jiang; Yonghui Xu; Hengjie Song; Qingyao Wu; Michael K. Ng 001; Huaqing Min; Shaojian Qiu (Neurocomputing, 2018)

Block principal component analysis for tensor objects with frequency or time information. - Xutao Li; Michael K. Ng 001; Xiaofei Xu; Yunming Ye (Neurocomputing, 2018)

Discriminative tracking via supervised tensor learning. - Guoxia Xu; Sheheryar Khan; Hu Zhu; Lixin Han; Michael K. Ng 001; Hong Yan 001 (Neurocomputing, 2018)

Analysis of regularized least squares for functional linear regression model. - Hongzhi Tong; Michael Ng 001 (J. Complex., 2018)

Multiple graphs clustering by gradient flow method. - Hong Zhu 012; Chuan Chen 001; Li-Zhi Liao; Michael K. Ng 001 (J. Frankl. Inst., 2018)

Stability and Convergence Analysis of Finite Difference Schemes for Time-Dependent Space-Fractional Diffusion Equations with Variable Diffusion Coefficients. - Xue-lei Lin; Michael K. Ng 001; Hai-Wei Sun (J. Sci. Comput., 2018)

A Semi-smooth Newton Method for Inverse Problem with Uniform Noise. - You-Wei Wen; Wai-Ki Ching; Michael Kwok-Po Ng (J. Sci. Comput., 2018)

A Fast Algorithm for Deconvolution and Poisson Noise Removal. - Xiongjun Zhang; Michael K. Ng 001; Minru Bai (J. Sci. Comput., 2018)

Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality. - Hong Zhu 012; Li-Zhi Liao; Michael K. Ng 001 (Neural Comput., 2018)

Symmetric orthogonal approximation to symmetric tensors with applications to image reconstruction. - JunJun Pan; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2018)

Graph Spectral Image Processing. - Gene Cheung; Enrico Magli; Yuichi Tanaka 001; Michael K. Ng 001 (Proc. IEEE, 2018)

Weighted variational model for selective image segmentation with application to medical images. - Chunxiao Liu; Michael Kwok-Po Ng; Tieyong Zeng (Pattern Recognit., 2018)

Orthogonal Nonnegative Matrix Factorization by Sparsity and Nuclear Norm Optimization. - JunJun Pan; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2018)

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. - Yuguang Yan; Qingyao Wu; Mingkui Tan; Michael K. Ng 001; Huaqing Min; Ivor W. Tsang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Oversampling for Imbalanced Data via Optimal Transport. - Yuguang Yan; Mingkui Tan; Yanwu Xu 001; Jiezhang Cao; Michael K. Ng 001; Huaqing Min; Qingyao Wu (AAAI, 2019)

A Weighted Tensor Factorization Method for Low-Rank Tensor Completion. - Miaomiao Cheng; Liping Jing; Michael Kwok-Po Ng (BigMM, 2019)

Constrained Low-Tubal-Rank Tensor Recovery for Hyperspectral Images Mixed Noise Removal by Bilateral Random Projections. - Hao Zhang 103; Xi-Le Zhao; Tai-Xiang Jiang; Michael Kwok-Po Ng (IGARSS, 2019)

Robust Low-Tubal-Rank Tensor Completion via Convex Optimization. - Qiang Jiang; Michael Ng 001 (IJCAI, 2019)

Missing Data Reconstruction for Remote Sensing Images With Weighted Low-Rank Tensor Model. - Qing Cheng 002; Qiangqiang Yuan; Michael Kwok-Po Ng; Huanfeng Shen; Liangpei Zhang 001 (IEEE Access, 2019)

Image colorization by using graph bi-Laplacian. - Fang Li 004; Michael K. Ng 001 (Adv. Comput. Math., 2019)

On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method. - Yushan Qiu; Hao Jiang 009; Wai-Ki Ching; Michael K. Ng 001 (Artif. Intell. Medicine, 2019)

Molecular subtyping of cancer: current status and moving toward clinical applications. - Lan Zhao 004; Victor H. F. Lee; Michael K. Ng 001; Hong Yan 001; Maarten F. Bijlsma (Briefings Bioinform., 2019)

Image colorization by fusion of color transfers based on DFT and variance features. - Zhengmeng Jin; Lihua Min; Michael K. Ng 001; Minling Zheng (Comput. Math. Appl., 2019)

A C-eigenvalue problem for tensors with applications to higher-order multivariate Markov chains. - Wen Li 006; Rihuan Ke; Wai-Ki Ching; Michael K. Ng 001 (Comput. Math. Appl., 2019)

A fast solver for multidimensional time-space fractional diffusion equation with variable coefficients. - Xue-lei Lin; Michael K. Ng 001 (Comput. Math. Appl., 2019)

A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition. - Wen-Hao Xu; Xi-Le Zhao; Michael Kwok-Po Ng (CoRR, 2019)

Tucker Decomposition Network: Expressive Power and Comparison. - Ye Liu 014; JunJun Pan; Michael K. Ng 001 (CoRR, 2019)

Robust Tensor Completion Using Transformed Tensor SVD. - Guang-Jing Song; Michael K. Ng 001; Xiongjun Zhang (CoRR, 2019)

Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal. - Jie Zhang 124; Yuping Duan; Yue Lu; Michael K. Ng 001; Huibin Chang (CoRR, 2019)

Calibration of ϵ-insensitive loss in support vector machines regression. - Hongzhi Tong; Michael K. Ng 001 (J. Frankl. Inst., 2019)

A Peaceman-Rachford Splitting Method with Monotone Plus Skew-Symmetric Splitting for Nonlinear Saddle Point Problems. - Weiyang Ding; Michael K. Ng 001; Wenxing Zhang (J. Sci. Comput., 2019)

A Fast Algorithm for Solving Linear Inverse Problems with Uniform Noise Removal. - Xiongjun Zhang; Michael K. Ng 001 (J. Sci. Comput., 2019)

Low-resolution image categorization via heterogeneous domain adaptation. - Yuan Yao 016; Xutao Li; Yunming Ye; Feng Liu 034; Michael K. Ng 001; Zhichao Huang 001; Yu Zhang 006 (Knowl. Based Syst., 2019)

Circulant preconditioners for a kind of spatial fractional diffusion equations. - Zhi-Wei Fang; Michael K. Ng 001; Hai-Wei Sun (Numer. Algorithms, 2019)

Lanczos method for large-scale quaternion singular value decomposition. - Zhigang Jia; Michael K. Ng 001; Guang-Jing Song (Numer. Algorithms, 2019)

Sparse matrix computation for air quality forecast data assimilation. - Michael K. Ng 001; Zhaochen Zhu (Numer. Algorithms, 2019)

Robust quaternion matrix completion with applications to image inpainting. - Zhigang Jia; Michael K. Ng 001; Guang-Jing Song (Numer. Linear Algebra Appl., 2019)

A primal-dual method for the Meyer model of cartoon and texture decomposition. - You-Wei Wen; Hai-Wei Sun; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2019)

Color Image Restoration by Saturation-Value Total Variation. - Zhigang Jia; Michael K. Ng 001; Wei Wang 132 (SIAM J. Imaging Sci., 2019)

A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion. - Xiongjun Zhang; Michael K. Ng 001 (SIAM J. Imaging Sci., 2019)

Crank-Nicolson Alternative Direction Implicit Method for Space-Fractional Diffusion Equations with Nonseparable Coefficients. - Xue-lei Lin; Michael K. Ng 001; Hai-Wei Sun (SIAM J. Numer. Anal., 2019)

Hyperspectral image denoising with bilinear low rank matrix factorization. - Huixin Fan; Jie Li 022; Qiangqiang Yuan; Xinxin Liu 002; Michael Ng 001 (Signal Process., 2019)

Editorial: Welcome to Software Impacts. - Michael Ng 001 (Softw. Impacts, 2019)

Sentiment Lexicon Construction With Hierarchical Supervision Topic Model. - Dong Deng 002; Liping Jing; Jian Yu 001; Shaolong Sun; Michael K. Ng 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering. - MiaoMiao Cheng; Liping Jing; Michael K. Ng 001 (IEEE Trans. Image Process., 2019)

Structural Similarity-Based Nonlocal Variational Models for Image Restoration. - Wei Wang 132; Fang Li 004; Michael K. Ng 001 (IEEE Trans. Image Process., 2019)

Online Heterogeneous Transfer Learning by Knowledge Transition. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Huaqing Min; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2019)

A Semisupervised Classification Approach for Multidomain Networks With Domain Selection. - Chuan Chen 001; Jingxue Xin; Yong Wang 001; Luonan Chen; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition. - Mingjie Zhou; Michael Ng 001; Zixin Cai; Ka Chun Cheung (ECAI, 2020)

Cross-track Illumination Correction For Hyperspectral Pushbroom Sensors Using Total Variation and Sparsity Regularization. - Lina Zhuang; Michael K. Ng 001 (SAM, 2020)

MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. - Zhichao Huang 001; Xutao Li; Yunming Ye; Michael K. Ng 001 (IJCAI, 2020)

Deep Reinforcement Active Learning for Medical Image Classification. - Jingwen Wang; Yuguang Yan; Yubing Zhang; Guiping Cao; Ming Yang 039; Michael K. Ng 001 (MICCAI (1), 2020)

Nonnegative low rank matrix approximation for nonnegative matrices. - Guang-Jing Song; Michael K. Ng 001 (Appl. Math. Lett., 2020)

Compressive total variation for image reconstruction and restoration. - Peng Li 025; Wengu Chen; Michael K. Ng 001 (Comput. Math. Appl., 2020)

Singular Vectors From Singular Values. - Weiwei Xu; Michael K. Ng 001 (CoRR, 2020)

Fast and High-order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in R2. - Rongjun Cao; Minghua Chen 002; Michael K. Ng 001; Yu-Jiang Wu (CoRR, 2020)

Fast Alternating Projections on Manifolds Based on Tangent Spaces. - Guang-Jing Song; Michael K. Ng 001 (CoRR, 2020)

New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair. - Weiwei Xu; Michael K. Ng 001; Zheng-Jian Bai (CoRR, 2020)

Tensor train rank minimization with nonlocal self-similarity for tensor completion. - Meng Ding 002; Ting-Zhu Huang; Xi-Le Zhao; Michael K. Ng 001; Tian-Hui Ma (CoRR, 2020)

Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images. - Tai-Xiang Jiang; Michael K. Ng 001; Junjun Pan; Guang-Jing Song (CoRR, 2020)

Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting. - Zhigang Jia; Qiyu Jin; Michael K. Ng 001; Xile Zhao (CoRR, 2020)

Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches. - Jing Guo; Shuping Wang; Chen Luo; Qiyu Jin; Michael Kwok-Po Ng (CoRR, 2020)

On O( max {n1, n2} log ( max {n1, n2} n3)) Sample Entries for n1 × n2 × n3 Tensor Completion via Unitary Transformation. - Guang-Jing Song; Michael K. Ng 001; Xiongjun Zhang (CoRR, 2020)

Deep plug-and-play prior for low-rank tensor completion. - Xi-Le Zhao; Wen-Hao Xu; Tai-Xiang Jiang; Yao Wang 003; Michael K. Ng 001 (Neurocomputing, 2020)

Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. - Xi-Le Zhao; Hao Zhang 103; Tai-Xiang Jiang; Michael K. Ng 001; Xiongjun Zhang (Neurocomputing, 2020)

Tensor Factorization with Total Variation and Tikhonov Regularization for Low-Rank Tensor Completion in Imaging Data. - Xue-Lei Lin; Michael K. Ng 001; Xi-Le Zhao (J. Math. Imaging Vis., 2020)

Fast and High-Order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in ${ pmb { mathbb {R}}}^2$. - Rongjun Cao; Minghua Chen 002; Michael K. Ng 001; Yu-Jiang Wu (J. Sci. Comput., 2020)

Nonconvex Optimization for Robust Tensor Completion from Grossly Sparse Observations. - Xueying Zhao; Minru Bai; Michael K. Ng 001 (J. Sci. Comput., 2020)

Geometric Knowledge Embedding for unsupervised domain adaptation. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Michael K. Ng 001; Qingyao Wu (Knowl. Based Syst., 2020)

Robust tensor completion using transformed tensor singular value decomposition. - Guang-Jing Song; Michael K. Ng 001; Xiongjun Zhang (Numer. Linear Algebra Appl., 2020)

Decompositions of third-order tensors: HOSVD, T-SVD, and Beyond. - Chao Zeng 003; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2020)

Patched-tube unitary transform for robust tensor completion. - Michael K. Ng 001; Xiongjun Zhang; Xi-Le Zhao (Pattern Recognit., 2020)

Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. - Zhicheng Wang; Lina Zhuang; Lianru Gao; Andrea Marinoni; Bing Zhang 001; Michael K. Ng 001 (Remote. Sens., 2020)

Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems. - Rihuan Ke; Michael K. Ng 001; Ting Wei (SIAM J. Matrix Anal. Appl., 2020)

Hyperspectral Mixed Noise Removal By $ ell _1$-Norm-Based Subspace Representation. - Lina Zhuang; Michael K. Ng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering. - Ye Liu 014; Michael K. Ng 001; Stephen Wu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. - Tai-Xiang Jiang; Michael K. Ng 001; Xi-Le Zhao; Ting-Zhu Huang (IEEE Trans. Image Process., 2020)

3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model. - Jin Zeng; Gene Cheung; Michael Ng 001; Jiahao Pang; Cheng Yang 003 (IEEE Trans. Image Process., 2020)

Structured Dictionary Learning for Image Denoising Under Mixed Gaussian and Impulse Noise. - Hong Zhu 012; Michael K. Ng 001 (IEEE Trans. Image Process., 2020)

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. - Hanrui Wu; Yuguang Yan; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2020)

New RIP Bounds for Recovery of Sparse Signals With Partial Support Information via Weighted ${ ell_{p}}$ -Minimization. - Huanmin Ge; Wengu Chen; Michael K. Ng 001 (IEEE Trans. Inf. Theory, 2020)

Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval. - Miaomiao Cheng; Liping Jing; Michael K. Ng 001 (ACM Trans. Inf. Syst., 2020)

Sparsity reconstruction using nonconvex TGpV-shearlet regularization and constrained projection. - Tingting Wu 001; Michael K. Ng 001; Xi-Le Zhao (Appl. Math. Comput., 2021)

Two-stage image segmentation based on nonconvex ℓ2-ℓp approximation and thresholding. - Tingting Wu 001; Jinbo Shao; Xiaoyu Gu; Michael K. Ng 001; Tieyong Zeng (Appl. Math. Comput., 2021)

Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations. - Xin Huang; Xue-Lei Lin; Michael K. Ng 001; Hai-Wei Sun (CoRR, 2021)

Approximation for Probability Distributions by Wasserstein GAN. - Yihang Gao; Michael K. Ng 001 (CoRR, 2021)

Co-Separable Nonnegative Matrix Factorization. - Junjun Pan; Michael K. Ng 001 (CoRR, 2021)

Multiple graph semi-supervised clustering with automatic calculation of graph associations. - Ye Liu 014; Michael K. Ng 001; Hong Zhu 012 (Neurocomputing, 2021)

Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization. - Duo Qiu; Minru Bai; Michael K. Ng 001; Xiongjun Zhang (Neurocomputing, 2021)

A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel. - Xue-lei Lin; Michael K. Ng 001; Yajing Zhi (J. Comput. Phys., 2021)

Interpretable Deep Generative Recommendation Models. - Huafeng Liu 001; Liping Jing; Jingxuan Wen; Pengyu Xu; Jiaqi Wang 006; Jian Yu 001; Michael K. Ng 001 (J. Mach. Learn. Res., 2021)

Image Completion and Blind Deconvolution: Model and Algorithm. - Xue-lei Lin; Michael K. Ng 001 (J. Sci. Comput., 2021)

Robust Low Transformed Multi-Rank Tensor Methods for Image Alignment. - Duo Qiu; Minru Bai; Michael K. Ng 001; Xiongjun Zhang (J. Sci. Comput., 2021)

An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. - Hong Zhu 012; Michael K. Ng 001; Guang-Jing Song (J. Sci. Comput., 2021)

Joint Visual and Semantic Optimization for zero-shot learning. - Hanrui Wu; Yuguang Yan; Sentao Chen; Xiangkang Huang; Qingyao Wu; Michael K. Ng 001 (Knowl. Based Syst., 2021)

Preconditioning for symmetric positive definite systems in balanced fractional diffusion equations. - Zhi-Wei Fang; Xue-Lei Lin; Michael K. Ng 001; Hai-Wei Sun (Numerische Mathematik, 2021)

An approximation method of CP rank for third-order tensor completion. - Chao Zeng 003; Tai-Xiang Jiang; Michael K. Ng 001 (Numerische Mathematik, 2021)

Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior. - Lina Zhuang; Michael K. Ng 001; Xiyou Fu (Remote. Sens., 2021)

New Restricted Isometry Property Analysis for ℓ1-ℓ2 Minimization Methods. - Huanmin Ge; Wengu Chen; Michael K. Ng 001 (SIAM J. Imaging Sci., 2021)

A Variational Model for Spatially Weighting in Image Fusion. - Zhengmeng Jin; Junkang Zhang; Lihua Min; Michael K. Ng 001 (SIAM J. Imaging Sci., 2021)

Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles. - Wei Wang 132; Michael K. Ng 001 (SIAM J. Imaging Sci., 2021)

Structure Preserving Quaternion Generalized Minimal Residual Method. - ZhiGang Jia; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2021)

Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices. - Guang-Jing Song; Weiyang Ding; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2021)

Incremental CP Tensor Decomposition by Alternating Minimization Method. - Chao Zeng 003; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2021)

An All-at-Once Preconditioner for Evolutionary Partial Differential Equations. - Xue-lei Lin; Michael Ng 001 (SIAM J. Sci. Comput., 2021)

Orthogonal Nonnegative Tucker Decomposition. - Junjun Pan; Michael K. Ng 001; Ye Liu 014; Xiongjun Zhang; Hong Yan 001 (SIAM J. Sci. Comput., 2021)

Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint. - Rui Guo; He Ming Yao; Maokun Li; Michael Kwok-Po Ng; Lijun Jiang; Aria Abubakar (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations. - Lina Zhuang; Xiyou Fu; Michael K. Ng 001; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2021)

Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform. - Jian-Li Wang; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Michael K. Ng 001 (IEEE Trans. Image Process., 2021)

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. - Hanrui Wu; Hong Zhu 012; Yuguang Yan; Jiaju Wu 001; Yifan Zhang 004; Michael K. Ng 001 (IEEE Trans. Image Process., 2021)

On Recovery of Sparse Signals With Prior Support Information via Weighted ℓₚ-Minimization. - Huanmin Ge; Wengu Chen; Michael K. Ng 001 (IEEE Trans. Inf. Theory, 2021)

Social Recommendation With Learning Personal and Social Latent Factors. - Huafeng Liu 001; Liping Jing; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2021)

Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes. - Huafeng Liu 001; Liping Jing; Dahai Yu; Mingjie Zhou; Michael Ng 001 (ACM Multimedia, 2022)

Approximate Secular Equations for the Cubic Regularization Subproblem. - Yihang Gao; Man-Chung Yue; Michael Ng 001 (NeurIPS, 2022)

SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. - Yihang Gao; Ka Chun Cheung; Michael K. Ng 001 (SSCI, 2022)

Cartoon and texture decomposition for color image in opponent color space. - You-Wei Wen; Mingchao Zhao; Michael Ng 001 (Appl. Math. Comput., 2022)

High Dimensional Statistical Estimation under One-bit Quantization. - Junren Chen; Cheng-Long Wang 003; Michael K. Ng 001; Di Wang 015 (CoRR, 2022)

Deep neural networks for solving extremely large linear systems. - Yiqi Gu; Michael K. Ng 001 (CoRR, 2022)

HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. - Yihang Gao; Huafeng Liu 001; Michael K. Ng 001; Mingjie Zhou (CoRR, 2022)

Error Bound of Empirical 𝓁2 Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems. - Junren Chen; Michael K. Ng 001 (CoRR, 2022)

Sparse Nonnegative Tucker Decomposition and Completion under Noisy Observations. - Xiongjun Zhang; Michael K. Ng 001 (CoRR, 2022)

Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer. - William T. Ng; K. Siu; Albert C. Cheung; Michael Kwok-Po Ng (CoRR, 2022)

A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization. - Yihang Gao; Michael Kwok-Po Ng (CoRR, 2022)

Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks. - Yihang Gao; Michael K. Ng 001 (J. Comput. Phys., 2022)

Correction to: An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. - Hong Zhu 012; Michael K. Ng 001; Guang-Jing Song (J. Sci. Comput., 2022)

Deep neural network compression by Tucker decomposition with nonlinear response. - Ye Liu 014; Michael K. Ng 001 (Knowl. Based Syst., 2022)

Hyperspectral Image Stripe Detection and Correction Using Gabor Filters and Subspace Representation. - Bing Zhang 001; Yashinov Aziz; Zhicheng Wang; Lina Zhuang; Michael K. Ng 001; Lianru Gao (IEEE Geosci. Remote. Sens. Lett., 2022)

A new clustering algorithm for genes with multiple cancer diseases by self-consistent field iteration method. - Ye Liu 014; Michael K. Ng 001 (Netw. Model. Anal. Health Informatics Bioinform., 2022)

Robust tensor train component analysis. - Xiongjun Zhang; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2022)

A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. - Wei Liu 044; Pingping Zhang; Yinjie Lei; Xiaolin Huang; Jie Yang 002; Michael Ng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Low Rank Tensor Completion With Poisson Observations. - Xiongjun Zhang; Michael K. Ng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Snow Parameters Inversion from Passive Microwave Remote Sensing Measurements by Deep Convolutional Neural Networks. - He Ming Yao; Yanming Zhang; Lijun Jiang; Hong Tat Ewe; Michael Ng 001 (Sensors, 2022)

Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising. - Jing Guo; Yu Guo 008; Qiyu Jin; Michael Kwok-Po Ng; Shuping Wang (SIAM J. Imaging Sci., 2022)

Stable Image Reconstruction Using Transformed Total Variation Minimization. - Limei Huo; Wengu Chen; Huanmin Ge; Michael K. Ng 001 (SIAM J. Imaging Sci., 2022)

Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair. - Weiwei Xu; Michael K. Ng 001; Zheng-Jian Bai (SIAM J. Matrix Anal. Appl., 2022)

Deep Ritz Method for the Spectral Fractional Laplacian Equation Using the Caffarelli-Silvestre Extension. - Yiqi Gu; Michael K. Ng 001 (SIAM J. Sci. Comput., 2022)

Deep Adaptive Basis Galerkin Method for High-Dimensional Evolution Equations With Oscillatory Solutions. - Yiqi Gu; Michael K. Ng 001 (SIAM J. Sci. Comput., 2022)

Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery. - Hao Zhang 103; Xi-Le Zhao; Tai-Xiang Jiang; Michael K. Ng 001; Ting-Zhu Huang (IEEE Trans. Cybern., 2022)

Experimental Study on Generative Adversarial Network for Precipitation Nowcasting. - Chuyao Luo; Xutao Li; Yunming Ye; Shanshan Feng 001; Michael K. Ng 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network. - Zhicheng Wang; Michael K. Ng 001; Lina Zhuang; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hy-Demosaicing: Hyperspectral Blind Reconstruction From Spectral Subsampling. - Lina Zhuang; Michael K. Ng 001; Xiyou Fu; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2022)

Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting. - Zhigang Jia; Qiyu Jin; Michael K. Ng 001; Xi-Le Zhao (IEEE Trans. Image Process., 2022)

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery. - Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yi Chang 002; Michael K. Ng 001; Chao Li 013 (IEEE Trans. Image Process., 2022)

Tensor Completion via Complementary Global, Local, and Nonlocal Priors. - Xi-Le Zhao; Jinghua Yang; Tian-Hui Ma; Tai-Xiang Jiang; Michael K. Ng 001; Ting-Zhu Huang (IEEE Trans. Image Process., 2022)

Sparse Nonnegative Tensor Factorization and Completion With Noisy Observations. - Xiongjun Zhang; Michael K. Ng 001 (IEEE Trans. Inf. Theory, 2022)

Bayesian Additive Matrix Approximation for Social Recommendation. - Huafeng Liu 001; Liping Jing; Jingxuan Wen; Pengyu Xu; Jian Yu 001; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2022)

Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation. - Hanrui Wu; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2022)

Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification. - Hanrui Wu; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2022)

A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. - Chao Han 002; Jian Chen 011; Mingkui Tan; Michael K. Ng 001; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2022)

Iterative Refinement for Multi-Source Visual Domain Adaptation. - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2022)

Transferable Feature Selection for Unsupervised Domain Adaptation. - Yuguang Yan; Hanrui Wu; Yuzhong Ye; Chaoyang Bi; Min Lu; Dapeng Liu; Qingyao Wu; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2022)

Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration. - Chaoyan Huang; Michael K. Ng 001; Tingting Wu 001; Tieyong Zeng (IEEE Trans. Multim., 2022)

Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment. - Wen Yu; Baiying Lei; Michael K. Ng 001; Albert C. Cheung; Yanyan Shen; Shuqiang Wang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. - Hanrui Wu; Qingyao Wu; Michael K. Ng 001 (ACM Trans. Inf. Syst., 2022)

Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss. - Junren Chen; Michael K. Ng 001 (SIAM J. Imaging Sci., 2022)

A Spatial Color Compensation Model Using Saturation-Value Total Variation. - Wei Wang 132; Yuming Yang; Michael K. Ng 001 (SIAM J. Imaging Sci., 2022)

Undetectable Attacks on Boolean Networks. - Shiyong Zhu; Jianquan Lu; Jinde Cao; Lin Lin 012; James Lam; Michael Ng 001; Shun-ichi Azuma (CDC, 2023)

A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. - Chao Han 002; Jian Chen 011; Mingkui Tan; Michael K. Ng 001; Qingyao Wu (ICDE, 2023)

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (ICDE, 2023)

Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. - Yuguang Yan; Hanrui Wu; Yuzhong Ye; Chaoyang Bi; Min Lu; Dapeng Liu; Qingyao Wu; Michael Kwok-Po Ng (ICDE, 2023)

Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks. - Yihang Gao; Yiqi Gu; Michael Ng 001 (ICML, 2023)

On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks. - Lin Lin 012; James Lam; Peng Shi 001; Michael K. Ng 001; Hak-Keung Lam (ICMLC, 2023)

Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process. - Huafeng Liu 001; Mingjie Zhou; Liping Jing; Michael K. Ng 001 (ACM Multimedia, 2023)

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing. - Junren Chen; Jonathan Scarlett; Michael Ng 001; Zhaoqiang Liu (NeurIPS, 2023)

Graph embedded dynamic mode decomposition for stock price prediction. - Andy M. Yip; William T. Ng; Ka-Wai Siu; Albert C. Cheung; Michael K. Ng 001 (Algorithmic Finance, 2023)

Block Diagonalization of Quaternion Circulant Matrices with Applications to Quaternion Tensor Singular Value Decomposition. - Junjun Pan; Michael Kwok-Po Ng (CoRR, 2023)

A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate. - Junren Chen; Michael K. Ng 001 (CoRR, 2023)

Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors. - Junren Chen; Shuai Huang; Michael K. Ng 001; Zhaoqiang Liu (CoRR, 2023)

Riemannian conjugate gradient descent method for fixed multi rank third-order tensor completion. - Guang-Jing Song; Xue-Zhong Wang; Michael K. Ng 001 (J. Comput. Appl. Math., 2023)

Quadrature rule based discovery of dynamics by data-driven denoising. - Yiqi Gu; Michael K. Ng 001 (J. Comput. Phys., 2023)

A New Matrix Maximization Model for Computing Ratios of Generalized Singular Values from High-Order GSVD. - Wei-Wei Xu; Michael K. Ng 001 (J. Sci. Comput., 2023)

Nonnegative low rank tensor approximations with multidimensional image applications. - Tai-Xiang Jiang; Michael K. P. Ng 001; Junjun Pan; Guang-Jing Song (Numerische Mathematik, 2023)

A Self-Supervised Deep Denoiser for Hyperspectral and Multispectral Image Fusion. - Zhicheng Wang; Michael K. Ng 001; Joseph Michalski; Lina Zhuang (IEEE Trans. Geosci. Remote. Sens., 2023)

Cross-Track Illumination Correction for Hyperspectral Pushbroom Sensor Images Using Low-Rank and Sparse Representations. - Lina Zhuang; Michael K. Ng 001; Yao Liu 012 (IEEE Trans. Geosci. Remote. Sens., 2023)

Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders. - Hanrui Wu; Chung Wang Wong; Jia Zhang; Yuguang Yan; Dahai Yu; Jinyi Long; Michael K. Ng 001 (IEEE Trans. Serv. Comput., 2023)

Phase Retrieval of Quaternion Signal via Wirtinger Flow. - Junren Chen; Michael K. P. Ng 001 (IEEE Trans. Signal Process., 2023)

Quantized Low-Rank Multivariate Regression With Random Dithering. - Junren Chen; Yueqi Wang; Michael K. Ng 001 (IEEE Trans. Signal Process., 2023)

A τ-preconditioner for a non-symmetric linear system arising from multi-dimensional Riemann-Liouville fractional diffusion equation. - Xue-lei Lin; Xin Huang; Michael K. Ng 001; Hai-Wei Sun (Numer. Algorithms, 2023)

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion. - Tai-Xiang Jiang; Xi-Le Zhao; Hao Zhang 103; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Tucker network: Expressive power and comparison. - Ye Liu 014; Junjun Pan; Michael K. P. Ng 001 (Neural Networks, 2023)

Hypergraph Collaborative Network on Vertices and Hyperedges. - Hanrui Wu; Yuguang Yan; Michael Kwok-Po Ng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-relational graph convolutional networks: Generalization guarantees and experiments. - Xutao Li; Michael K. Ng 001; Guangning Xu; Andy M. Yip (Neural Networks, 2023)

Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs. - Hanrui Wu; Jinyi Long; Nuosi Li; Dahai Yu; Michael K. Ng 001 (ACM Trans. Inf. Syst., 2023)

Signal Reconstruction from Phase-Only Measurements: Uniqueness Condition, Minimal Measurement Number and Beyond. - Junren Chen; Michael Ng 001 (SIAM J. Appl. Math., 2023)

High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization. - Junren Chen; Cheng-Long Wang 003; Michael K. P. Ng 001; Di Wang 015 (IEEE Trans. Inf. Theory, 2023)

Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN. - Wen Yu; Baiying Lei; Shuqiang Wang; Yong Liu 018; Zhiguang Feng; Yong Hu 003; Yanyan Shen; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal. - Lina Zhuang; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks. - Jianfei Li; Chaoyan Huang; Raymond H. Chan; Han Feng; Michael K. Ng 001; Tieyong Zeng (SIAM J. Imaging Sci., 2023)

A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion. - Ben-Zheng Li; Xi-Le Zhao; Xiongjun Zhang; Teng-Yu Ji; Xinyu Chen 002; Michael K. P. Ng 001 (SIAM J. Imaging Sci., 2023)

Separable Quaternion Matrix Factorization for Polarization Images. - Junjun Pan; Michael K. Ng 001 (SIAM J. Imaging Sci., 2023)

Coseparable Nonnegative Matrix Factorization. - Junjun Pan; Michael Ng 001 (SIAM J. Matrix Anal. Appl., 2023)

Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. - Tak Shing Au Yeung; Ka Chun Cheung; Michael K. Ng 001; Simon See; Andy M. Yip (Neural Comput., 2023)

Deep Neural Networks for Solving Large Linear Systems Arising from High-Dimensional Problems. - Yiqi Gu; Michael K. Ng 001 (SIAM J. Sci. Comput., 2023)

Uniform Exact Reconstruction of Sparse Signals and Low-Rank Matrices From Phase-Only Measurements. - Junren Chen; Michael K. Ng 001 (IEEE Trans. Inf. Theory, 2023)

Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. - Guang-Jing Song; Michael K. Ng 001; Tai-Xiang Jiang (IEEE Trans. Knowl. Data Eng., 2023)

( boldsymbol{L_1- beta L_q} ) Minimization for Signal and Image Recovery. - Limei Huo; Wengu Chen; Huanmin Ge; Michael K. Ng 001 (SIAM J. Imaging Sci., 2023)

Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks. - Yihang Gao; Michael K. Ng 001; Mingjie Zhou (SIAM J. Math. Data Sci., 2023)

An Optimal Transport View for Subspace Clustering and Spectral Clustering. - Yuguang Yan; Zhihao Xu; Canlin Yang; Jie Zhang 124; Ruichu Cai; Michael Kwok-Po Ng (AAAI, 2024)

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. - Yuguang Yan; Zeqin Yang; Weilin Chen 001; Ruichu Cai; Zhifeng Hao; Michael Kwok-Po Ng (AAAI, 2024)

Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition. - Yihang Dong; Xuhang Chen 002; Yanyan Shen; Michael Kwok-Po Ng; Tao Qian; Shuqiang Wang (NCAA (3), 2024)

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation. - Chuanyang Zheng; Yihang Gao; Han Shi; Minbin Huang; Jingyao Li; Jing Xiong; Xiaozhe Ren; Michael K. Ng 001; Xin Jiang; Zhenguo Li; Yu Li (NeurIPS, 2024)

Deep image prior and weighted anisotropic-isotropic total variation regularization for solving linear inverse problems. - Yujia Xie; Wengu Chen; Huanmin Ge; Michael K. Ng 001 (Appl. Math. Comput., 2024)

GSTRPCA: irregular tensor singular value decomposition for single-cell multi-omics data clustering. - Lu-Bin Cui; Guiliang Guo; Michael K. Ng 001; Quan Zou 001; Yushan Qiu (Briefings Bioinform., 2024)

On the Expressive Power of a Variant of the Looped Transformer. - Yihang Gao; Chuanyang Zheng; Enze Xie; Han Shi; Tianyang Hu; Yu Li; Michael K. Ng 001; Zhenguo Li; Zhaoqiang Liu (CoRR, 2024)

A One-step Image Retargeing Algorithm Based on Conformal Energy. - Chengyang Liu; Michael K. Ng 001 (CoRR, 2024)

CAPE: Context-Adaptive Positional Encoding for Length Extrapolation. - Chuanyang Zheng; Yihang Gao; Han Shi; Minbin Huang; Jingyao Li; Jing Xiong; Xiaozhe Ren; Michael K. Ng 001; Xin Jiang; Zhenguo Li; Yu Li (CoRR, 2024)

Data Valuation by Leveraging Global and Local Statistical Information. - Xiaoling Zhou; Ou Wu; Michael K. Ng 001; Hao Jiang 009 (CoRR, 2024)

Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations. - Ting Wang; Zipei Yan; Jizhou Li; Xile Zhao; Chao Wang 067; Michael Ng 001 (CoRR, 2024)

Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition. - Jifei Miao; Junjun Pan; Michael K. Ng 001 (CoRR, 2024)

Robust Instance Optimal Phase-Only Compressed Sensing. - Junren Chen; Zhaoqiang Liu; Michael Kwok-Po Ng; Jonathan Scarlett (CoRR, 2024)

Low-Rank Tensor Learning by Generalized Nonconvex Regularization. - Sijia Xia; Michael K. Ng 001; Xiongjun Zhang (CoRR, 2024)

Transferable graph auto-encoders for cross-network node classification. - Hanrui Wu; Lei Tian; Yanxin Wu; Jia Zhang; Michael K. P. Ng 001; Jinyi Long (Pattern Recognit., 2024)

Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection. - Jie Zhang 124; Pak-Wai Chan; Michael Kwok-Po Ng (Remote. Sens., 2024)

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors. - Junren Chen; Zhaoqiang Liu; Meng Ding 002; Michael K. Ng 001 (SIAM J. Imaging Sci., 2024)

Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem. - Ningning Han; Juan Nie; Jian Lu 002; Michael K. P. Ng 001 (SIAM J. Imaging Sci., 2024)

Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation. - Zhengmeng Jin; Hao Wang; Michael K. Ng 001; Lihua Min (SIAM J. Imaging Sci., 2024)

An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors. - Hong Zhu 012; Michael K. Ng 001 (SIAM J. Imaging Sci., 2024)

Block-Diagonalization of Quaternion Circulant Matrices with Applications. - Junjun Pan; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2024)

Cyclic tensor singular value decomposition with applications in low-rank high-order tensor recovery. - Yigong Zhang; Zhihui Tu; Jian Lu 002; Chen Xu 004; Michael K. Ng 001 (Signal Process., 2024)

Fixed-Point Convergence of Multi-Block PnP ADMM and Its Application to Hyperspectral Image Restoration. - Weijie Liang; Zhihui Tu; Jian Lu 002; Kai Tu; Michael K. Ng 001; Chen Xu 004 (IEEE Trans. Computational Imaging, 2024)

Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification. - Zhu Han 002; Ce Zhang 005; Lianru Gao; Zhiqiang Zeng; Michael K. Ng 001; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing With Nonuniform Spectral Sampling. - Ting Wang; Jizhou Li; Michael K. Ng 001; Chao Wang 067 (IEEE Trans. Geosci. Remote. Sens., 2024)

FHDTIE: Fine-Grained Heterogeneous Data Fusion for Tropical Cyclone Intensity Estimation. - Guangning Xu; Michael K. Ng 001; Yunming Ye; Bowen Zhang 005 (IEEE Trans. Geosci. Remote. Sens., 2024)

Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising. - Lina Zhuang; Michael Ng 001; Lianru Gao; Zhicheng Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Quantizing Heavy-Tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery. - Junren Chen; Michael K. Ng 001; Di Wang 015 (IEEE Trans. Inf. Theory, 2024)

Feature Matching Machine for Cold-Start Recommendation. - Hanrui Wu; Nuosi Li; Ka Ho Kwok; Xuheng Cai; Jia Zhang; Jinyi Long; Michael Kwok-Po Ng (IEEE Trans. Serv. Comput., 2024)

Simplicial Complex Neural Networks. - Hanrui Wu; Andy M. Yip; Jinyi Long; Jia Zhang; Michael Kwok-Po Ng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Stability and Generalization of Hypergraph Collaborative Networks. - Michael Ng 001; Hanrui Wu; Andy M. Yip (Mach. Intell. Res., 2024)

Spectral algorithms for learning with dependent observations. - Hongzhi Tong; Michael Ng 001 (J. Comput. Appl. Math., 2024)

Collaborative contrastive learning for hypergraph node classification. - Hanrui Wu; Nuosi Li; Jia Zhang; Sentao Chen; Michael K. Ng 001; Jinyi Long (Pattern Recognit., 2024)

Deep learning based source reconstruction method using asymmetric encoder-decoder​ structure and physics-induced loss. - Michael Ng 001; He Ming Yao (J. Comput. Appl. Math., 2024)

Randomized low rank approximation for nonnegative pure quaternion matrices. - Chengyao Lyu; Junjun Pan; Michael K. P. Ng 001; Xile Zhao (Appl. Math. Lett., 2024)

Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. - Yisi Luo; Xile Zhao; Zhemin Li; Michael K. Ng 001; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A τ-Preconditioner for Space Fractional Diffusion Equation with Non-separable Variable Coefficients. - Xue-Lei Lin; Michael K. Ng 001 (J. Sci. Comput., 2024)

Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. - Huafeng Liu 001; Liping Jing; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2024)

Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery. - Hong Zhu 012; Xiaoxia Liu; Lin Huang; Zhaosong Lu; Jian Lu 002; Michael K. Ng 001 (Adv. Comput. Math., 2024)

High-order proximity and relation analysis for cross-network heterogeneous node classification. - Hanrui Wu; Yanxin Wu; Nuosi Li; Min Yang 007; Jia Zhang; Michael K. Ng 001; Jinyi Long (Mach. Learn., 2024)

TLS-MWP: A Tensor-Based Long- and Short-Range Convolution for Multiple Weather Prediction. - Guangning Xu; Michael K. Ng 001; Yunming Ye; Xutao Li; Ge Song; Bowen Zhang 005; Zhichao Huang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks. - Fengcheng Lu; Michael Kwok-Po Ng (ACM Trans. Knowl. Discov. Data, 2024)

A generalized alternating direction implicit method for consensus optimization: application to distributed sparse logistic regression. - Weiyang Ding; Michael K. Ng 001; Wenxing Zhang (J. Glob. Optim., 2024)

Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising. - Lina Zhuang; Michael Ng 001; Lianru Gao; Joseph Michalski; Zhicheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model. - Yihang Dong; Changhong Jing; Mufti Mahmud; Michael Kwok-Po Ng; Shuqiang Wang (Brain Informatics, 2024)

Fast Global Image Smoothing via Quasi Weighted Least Squares. - Wei Liu 044; Pingping Zhang; Hongxing Qin; Xiaolin Huang; Jie Yang 002; Michael Ng 001 (Int. J. Comput. Vis., 2024)

Nonnegative low multi-rank third-order tensor approximation via transformation. - Guang-Jing Song; Yexun Hu; Cobi Xu; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2024)

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning. - Yongcheng Zong; Qiankun Zuo; Michael Kwok-Po Ng; Baiying Lei; Shuqiang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. - Yuguang Yan; Canlin Yang; Yuanlin Chen; Ruichu Cai; Michael Ng 001 (AAAI, 2025)

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. - Chuanyang Zheng; Yihang Gao; Han Shi; Jing Xiong; Jiankai Sun; Jingyao Li; Minbin Huang; Xiaozhe Ren; Michael Ng 001; Xin Jiang; Zhenguo Li; Yu Li (ACL (1), 2025)

Pre-tensorial alternative direction implicit method for nonlocal diffusion equations. - Tao Sun 015; Michael K. Ng 001; Hai-Wei Sun (Math. Comput. Simul., 2025)

Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction. - Yu Guo 008; Guoqing Chen; Tieyong Zeng; Qiyu Jin; Michael Kwok-Po Ng (Pattern Recognit., 2025)

Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery. - Meng Ding 002; Xi-Le Zhao; Jing-Hua Yang; Zhengchun Zhou; Michael K. Ng 001 (SIAM J. Imaging Sci., 2025)

Robust Tensor Completion from Uniformly Dithered One-Bit Observations. - Jingyao Hou; Junren Chen; Michael K. Ng 001 (SIAM J. Imaging Sci., 2025)

Multispectral Image Restoration by Generalized Opponent Transformation Total Variation. - Zhantao Ma; Michael K. Ng 001 (SIAM J. Imaging Sci., 2025)

Functional Tensor Singular Value Decomposition. - Chuan Wang; Xi-Le Zhao; Yu-Bang Zheng; Ben-Zheng Li; Michael K. Ng 001 (SIAM J. Sci. Comput., 2025)

EGD-Net: Eigenimage Guided Diffusion Network for Hyperspectral Mixed Noise Removal. - Zhicheng Wang; Lina Zhuang; Joseph Michalski; Michael K. Ng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment. - Qiankun Zuo; Ling Chen; Yanyan Shen; Michael Kwok-Po Ng; Baiying Lei; Shuqiang Wang (IEEE Trans Autom. Sci. Eng., 2025)

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. - Tianchi Liao; Lele Fu; Lei Zhang 183; Lei Yang 030; Chuan Chen 001; Michael Kwok-Po Ng; Huawei Huang; Zibin Zheng (IEEE Trans. Inf. Forensics Secur., 2025)

Sparse Aerial Ground Height Recovery Using Normalized Weighted Nonlocal Laplacian. - Yu Guo 008; Caiying Wu; Xi-Le Zhao; Qiyu Jin; Guoqing Chen; Michael Kwok-Po Ng (IEEE Trans. Instrum. Meas., 2025)

A New Cross-Space Total Variation Regularization Model for Color Image Restoration With Quaternion Blur Operator. - Zhigang Jia; Yuelian Xiang; Meixiang Zhao; Tingting Wu 001; Michael K. Ng 001 (IEEE Trans. Image Process., 2025)

AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures. - Yihang Gao; Chuanyang Zheng; Enze Xie; Han Shi; Tianyang Hu; Yu Li; Michael Ng 001; Zhenguo Li; Zhaoqiang Liu (Trans. Mach. Learn. Res., 2025)

Solving Quadratic Systems With Full-Rank Matrices Using Sparse or Generative Priors. - Junren Chen; Michael Kwok-Po Ng; Zhaoqiang Liu (IEEE Trans. Signal Process., 2025)

Low Tensor-Rank Adaptation of Kolmogorov-Arnold Networks. - Yihang Gao; Michael K. P. Ng 001; Vincent Y. F. Tan (IEEE Trans. Signal Process., 2025)

Curvature-Guided Color Image Restoration by Saturation-Value Total Variation. - Wei Wang 132; Jingjie Wang; Michael K. Ng 001 (J. Math. Imaging Vis., 2025)

Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery. - Hao Zhang 103; Ting-Zhu Huang; Xi-Le Zhao; Shuqin Zhang; Jin-Yu Xie; Tai-Xiang Jiang; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2025)

Noisy Non-Negative Tucker Decomposition With Sparse Factors and Missing Data. - Xiongjun Zhang; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2025)

A Graph-Partitioning Based Continuous Optimization Approach to Semi-supervised Clustering Problems. - Wei Liu 044; Xin Liu 001; Michael K. Ng 001; Zaikun Zhang (CoRR, 2025)

Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis. - Li Yang; Serena Morigi; Michael K. Ng 001; You-Wei Wen (CoRR, 2025)

Hermitian Quaternion Toeplitz Matrices by Quaternion-valued Generating Functions. - Xue-lei Lin; Michael K. Ng 001; Junjun Pan (CoRR, 2025)

Quaternion Nuclear Norms Over Frobenius Norms Minimization for Robust Matrix Completion. - Yu Guo 008; Guoqing Chen; Tieyong Zeng; Qiyu Jin; Michael Kwok-Po Ng (CoRR, 2025)

Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables. - Yaru Liu; Yiqi Gu; Michael K. Ng 001 (CoRR, 2025)

ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging. - Xuhang Chen 002; Michael Kwok-Po Ng; Kim-Fung Tsang; Chi-Man Pun; Shuqiang Wang (CoRR, 2025)

The Subspace Constrained Least Squares Solution of Unit Dual Quaternion Vector Equations and Its Application to Hand-Eye Calibration. - Hong Zhu 012; Michael K. Ng 001 (J. Sci. Comput., 2025)

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings. - Yi Guo; Yihang Dong; Michael Kwok-Po Ng; Shuqiang Wang (CoRR, 2025)

GenFT: A Generative Parameter-Efficient Fine-Tuning Method for Pretrained Foundation Models. - Baoquan Zhang; Guangning Xu; Michael K. Ng 001 (CoRR, 2025)

Learning Probabilistic Logical Control Networks: From Data to Controllability and Observability. - Lin Lin 012; James Lam; Peng Shi 001; Michael K. Ng 001; Hak-Keung Lam (IEEE Trans. Autom. Control., 2025)

Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering With Insufficient Observed Samples. - Meng Ding 002; Jing-Hua Yang; Xi-Le Zhao; Jie Zhang 124; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2025)

Slice-Wise Irregular Tensor Decomposition and Its Application. - Hao Zhang 103; Ting-Zhu Huang; Xi-Le Zhao; Lu-Bin Cui; Michael Ng 001 (J. Sci. Comput., 2025)

Cold-start User Recommendation via Heterogeneous Domain Adaptation. - Hanrui Wu; Yanxin Wu; Nuosi Li; Jia Zhang; Yonghui Xu; Michael K. Ng 001; Jinyi Long (ACM Trans. Inf. Syst., 2025)