Michael Kwok-Po Ng
List of publications from the DBLP Bibliography Server - FAQ
| 2009 | ||
|---|---|---|
| 95 | Andy C. Yau, Xue-Cheng Tai, Michael K. Ng: L0-Norm and Total Variation for Wavelet Inpainting. SSVM 2009: 539-551 | |
| 94 | Huanfeng Shen, Michael K. Ng, Pingxiang Li, Liangpei Zhang: Super-Resolution Reconstruction Algorithm To MODIS Remote Sensing Images. Comput. J. 52(1): 90-100 (2009) | |
| 93 | Kevin Y. Yip, Lin Cheung, David W. Cheung, Liping Jing, Michael K. Ng: A semi-supervised approach to projected clustering with applications to microarray data. IJDMB 3(3): 229-259 (2009) | |
| 2008 | ||
| 92 | Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang: Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. IEEE Trans. Knowl. Data Eng. 20(11): 1519-1534 (2008) | |
| 91 | You-Wei Wen, Michael K. Ng, Yu-Mei Huang: Efficient Total Variation Minimization Methods for Color Image Restoration. IEEE Transactions on Image Processing 17(11): 2081-2088 (2008) | |
| 90 | Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Jiali Xia Jiangxi, Xiaohua Zhou: Medical Document Clustering Using Ontology-Based Term Similarity Measures. IJDWM 4(1): 62-73 (2008) | |
| 89 | You-Wei Wen, Michael K. Ng, Wai-Ki Ching: Iterative Algorithms Based on Decoupling of Deblurring and Denoising for Image Restoration. SIAM J. Scientific Computing 30(5): 2655-2674 (2008) | |
| 2007 | ||
| 88 | Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Xiaohua Zhou: A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering. DASFAA 2007: 115-126 | |
| 87 | You-Wei Wen, Michael K. Ng, Wai-Ki Ching: CIDER: Corrected Inverse-Denoising Filter for Image Restoration. EMMCVPR 2007: 112-126 | |
| 86 | Xiaohua Hu, Fang-Xiang Wu, Michael K. Ng, Bahrad A. Sokhansanj: Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks. IC-AI 2007: 806-813 | |
| 85 | Edmond HaoCun Wu, Michael K. Ng: Developing a Knowledge-based Intelligent Services System in Sports Websites. E-Service Intelligence 2007: 535-554 | |
| 84 | Linzhang Lu, Michael K. Ng: Maximum inverse positive matrices. Appl. Math. Lett. 20(1): 65-69 (2007) | |
| 83 | Yimin Wei, Naimin Zhang, Michael K. Ng, Wei Xu: Tikhonov regularization for weighted total least squares problems. Appl. Math. Lett. 20(1): 82-87 (2007) | |
| 82 | Pak Chung Sham, Sio Iong Ao, J. S. H. Kwan, P. Kao, F. Cheung, Pui-Yee Fong, Michael K. Ng: Combining functional and linkage disequilibrium information in the selection of tag SNPs. Bioinformatics 23(1): 129-131 (2007) | |
| 81 | Wai-Ki Ching, Shuqin Zhang, Michael K. Ng, Tatsuya Akutsu: An approximation method for solving the steady-state probability distribution of probabilistic Boolean networks. Bioinformatics 23(12): 1511-1518 (2007) | |
| 80 | Sio Iong Ao, Michael K. Ng, Pak Chung Sham: Constrained unidimensional scaling with application to genomics. Computational Statistics & Data Analysis 52(1): 201-210 (2007) | |
| 79 | Liping Jing, Michael K. Ng, Joshua Zhexue Huang: An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data. IEEE Trans. Knowl. Data Eng. 19(8): 1026-1041 (2007) | |
| 78 | Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He: On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 503-507 (2007) | |
| 77 | Andy M. Yip, Michael K. Ng, Edmond HaoCun Wu, Tony F. Chan: Strategies for Identifying Statistically Significant Dense Regions in Microarray Data. IEEE/ACM Trans. Comput. Biology Bioinform. 4(3): 415-429 (2007) | |
| 76 | Lin Cheung, David W. Cheung, Ben Kao, Kevin Y. Yip, Michael K. Ng: On mining micro-array data by Order-Preserving Submatrix. IJBRA 3(1): 42-64 (2007) | |
| 75 | Shuqin Zhang, Wai-Ki Ching, Michael K. Ng, Tatsuya Akutsu: Simulation study in Probabilistic Boolean Network models for genetic regulatory networks. IJDMB 1(3): 217-240 (2007) | |
| 74 | Michael K. Ng, Elaine Y. Chan, Meko M. C. So, Wai-Ki Ching: A semi-supervised regression model for mixed numerical and categorical variables. Pattern Recognition 40(6): 1745-1752 (2007) | |
| 73 | Zhong-Zhi Bai, Yu-Mei Huang, Michael K. Ng: On Preconditioned Iterative Methods for Burgers Equations. SIAM J. Scientific Computing 29(1): 415-439 (2007) | |
| 2006 | ||
| 72 | Michael K. Ng: A Recursive Method for Solving Haplotype Frequencies in Multiple Loci Linkage Analysis. APBC 2006: 129-138 | |
| 71 | Tatsuya Akutsu, Morihiro Hayashida, Wai-Ki Ching, Michael K. Ng: On the Complexity of Finding Control Strategies for Boolean Networks. APBC 2006: 99-108 | |
| 70 | Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang: Clustering of SNP Data with Application to Genomics. ICDM Workshops 2006: 158-162 | |
| 69 | Kevin Y. Yip, Michael K. Ng, David W. Cheung: Input Validation for Semi-supervised Clustering. ICDM Workshops 2006: 479-483 | |
| 68 | Wai-San Chan, Edmund Y. Lam, Michael K. Ng: Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction. ICPR (3) 2006: 623-626 | |
| 67 | You-Wei Wen, Wai-Ki Ching, Michael K. Ng: Fast solvers for queueing systems with negative customers. VALUETOOLS 2006: 13 | |
| 66 | Zhong-Zhi Bai, Wai-Ki Ching, Michael K. Ng: Preface. Applied Mathematics and Computation 172(2): 679-681 (2006) | |
| 65 | Linzhang Lu, Michael K. Ng: Effects of a parameter on a nonsymmetric algebraic Riccati equation. Applied Mathematics and Computation 172(2): 753-761 (2006) | |
| 64 | Jian-Yu Pan, Michael K. Ng, Zhong-Zhi Bai: New preconditioners for saddle point problems. Applied Mathematics and Computation 172(2): 762-771 (2006) | |
| 63 | Yimin Wei, Huaian Diao, Michael K. Ng: On Drazin inverse of singular Toeplitz matrix. Applied Mathematics and Computation 172(2): 809-817 (2006) | |
| 62 | Michael K. Ng, Eric S. Fung, Yiu-Fai Lee, Wai-Ki Ching: A Recursive Method for Solving Haplotype Frequencies with Application to Genetics. J. Bioinformatics and Computational Biology 4(6): 1269-1286 (2006) | |
| 61 | Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow: Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration. SIAM J. Scientific Computing 27(6): 1881-1902 (2006) | |
| 60 | Haoying Fu, Michael K. Ng, Jesse L. Barlow: Structured Total Least Squares for Color Image Restoration. SIAM J. Scientific Computing 28(3): 1100-1119 (2006) | |
| 59 | Sio Iong Ao, Michael K. Ng: Gene expression time series modeling with principal component and neural network. Soft Comput. 10(4): 351-358 (2006) | |
| 58 | Michael K. Ng, Shuqin Zhang, Wai-Ki Ching, Tatsuya Akutsu: A Control Model for Markovian Genetic Regulatory Networks. T. Comp. Sys. Biology: 36-48 (2006) | |
| 2005 | ||
| 57 | Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya Akutsu: A linear control model for gene intervention in a genetic regulatory network. GrC 2005: 354-358 | |
| 56 | Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow, Wai-Ki Ching: Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration. ICCSA (4) 2005: 843-851 | |
| 55 | Kevin Y. Yip, David W. Cheung, Michael K. Ng: On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering. ICDE 2005: 329-340 | |
| 54 | Lin Cheung, Kevin Y. Yip, David W. Cheung, Ben Kao, Michael K. Ng: On Mining Micro-array data by Order-Preserving Submatrix. ICDE Workshops 2005: 1153 | |
| 53 | Andy C. Yau, N. K. Bose, Michael K. Ng: Super-resolution image restoration from blurred observations. ISCAS (6) 2005: 6296-6299 | |
| 52 | Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang: Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm. PAKDD 2005: 802-812 | |
| 51 | Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang: On the Performance of Feature Weighting K-Means for Text Subspace Clustering. WAIM 2005: 502-512 | |
| 50 | Michael K. Ng, Wilson C. Kwan: Image restoration by cosine transform-based iterative regularization. Applied Mathematics and Computation 160(2): 499-515 (2005) | |
| 49 | Andy C. Ho, Michael K. Ng: Iterative methods for Robbins problems. Applied Mathematics and Computation 165(1): 103-125 (2005) | |
| 48 | Sio Iong Ao, Kevin Y. Yip, Michael K. Ng, David Wai-Lok Cheung, Pui-Yee Fong, Ian Melhado, Pak Chung Sham: CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs. Bioinformatics 21(8): 1735-1736 (2005) | |
| 47 | Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong, Zichen Li: Automated Variable Weighting in k-Means Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 657-668 (2005) | |
| 46 | Wai-Ki Ching, Michael K. Ng, Eric S. Fung, Tatsuya Akutsu: On construction of stochastic genetic networks based on gene expression sequences. Int. J. Neural Syst. 15(4): 297-310 (2005) | |
| 45 | Henry Y. T. Ngan, Grantham K. H. Pang, S. P. Yung, Michael Kwok-Po Ng: Wavelet based methods on patterned fabric defect detection. Pattern Recognition 38(4): 559-576 (2005) | |
| 44 | Mila Nikolova, Michael K. Ng: Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery. SIAM J. Scientific Computing 27(3): 937-966 (2005) | |
| 2004 | ||
| 43 | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang: An Efficient Multidimensional Data Model for Web Usage Mining. APWeb 2004: 373-383 | |
| 42 | Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-Hoi Cheung: Identifying Projected Clusters from Gene Expression Profiles. BIBE 2004: 259-266 | |
| 41 | Edmond HaoCun Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan: Discretization of Multidimensional Web Data for Informative Dense Regions Discovery. CIS 2004: 718-724 | |
| 40 | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang: On Improving Website Connectivity by Using Web-Log Data Streams. DASFAA 2004: 352-364 | |
| 39 | Wai-Ki Ching, Eric S. Fung, Michael K. Ng: Building Genetic Networks for Gene Expression Patterns. IDEAL 2004: 17-24 | |
| 38 | Edmond HaoCun Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan: A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment. IDEAL 2004: 565-571 | |
| 37 | Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan: Unsupervised Dense Regions Discovery in DNA Microarray Data. IDEAL 2004: 71-77 | |
| 36 | Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong: A Feature Weighting Approach to Building Classification Models by Interactive Clustering. MDAI 2004: 284-294 | |
| 35 | Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan: An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams. PAKDD 2004: 116-120 | |
| 34 | Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng: Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. PAKDD 2004: 549-558 | |
| 33 | You-Wei Wen, Michael K. Ng, Wai-Ki Ching, Hong Liu: A note on the stability of Toeplitz matrix inversion formulas. Appl. Math. Lett. 17(8): 903-907 (2004) | |
| 32 | Lin-Zhang Lu, Wai-Ki Ching, Michael K. Ng: Exact algorithms for singular tridiagonal systems with applications to Markov chains. Applied Mathematics and Computation 159(1): 275-289 (2004) | |
| 31 | Kevin Y. Yip, David W. Cheung, Michael K. Ng: HARP: A Practical Projected Clustering Algorithm. IEEE Trans. Knowl. Data Eng. 16(11): 1387-1397 (2004) | |
| 30 | Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-Hoi Cheung: Identifying projected clusters from gene expression profiles. Journal of Biomedical Informatics 37(5): 345-357 (2004) | |
| 29 | Elaine Y. Chan, Wai-Ki Ching, Michael K. Ng, Joshua Zhexue Huang: An optimization algorithm for clustering using weighted dissimilarity measures. Pattern Recognition 37(5): 943-952 (2004) | |
| 28 | Fu-Rong Lin, Wai-Ki Ching, Michael K. Ng: Fast inversion of triangular Toeplitz matrices. Theor. Comput. Sci. 315(2-3): 511-523 (2004) | |
| 2003 | ||
| 27 | Henry Y. T. Ngan, Grantham K. H. Pang, S. P. Yung, Michael K. Ng: Defect Detection on Patterned Jacquard Fabric. AIPR 2003: 163-168 | |
| 26 | Kevin Y. Yip, David W. Cheung, Michael K. Ng: A highly-usable projected clustering algorithm for gene expression profiles. BIOKDD 2003: 41-48 | |
| 25 | Wai-Ki Ching, Michael K. Ng, Wai-On Yuen: A Direct Method for Block-Toeplitz Systems with Applications to Re-manufacturing Systems. ICCSA (1) 2003: 912-920 | |
| 24 | Wai-Ki Ching, Eric S. Fung, Michael K. Ng: Higher-Order Hidden Markov Models with Applications to DNA Sequences. IDEAL 2003: 535-539 | |
| 23 | Edmond HaoCun Wu, Michael K. Ng: A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules. PAKDD 2003: 178-190 | |
| 22 | Zhexue Huang, Michael K. Ng: A Note on K-modes Clustering. J. Classification 20(2): 257-261 (2003) | |
| 21 | Qiang Yang, Joshua Zhexue Huang, Michael K. Ng: A Data Cube Model for Prediction-Based Web Prefetching. J. Intell. Inf. Syst. 20(1): 1-30 (2003) | |
| 2002 | ||
| 20 | Michael K. Ng, Mila Nikolova: Comparison of the main forms of half-quadratic regularization. ICIP (1) 2002: 349-352 | |
| 19 | Michael K. Ng, Joshua Zhexue Huang: M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. PAKDD 2002: 224-236 | |
| 18 | Michael K. Ng, Joyce C. Wong: Clustering categorical data sets using tabu search techniques. Pattern Recognition 35(12): 2783-2790 (2002) | |
| 2001 | ||
| 17 | Zhexue Huang, Michael K. Ng, David Wai-Lok Cheung: An Empirical Study on the Visual Cluster Validation Method with Fastmap. DASFAA 2001: 84-91 | |
| 16 | Mila Nikolova, Michael K. Ng: Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. ICIP (1) 2001: 277-280 | |
| 15 | Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang: Patterns Discovery Based on Time-Series Decomposition. PAKDD 2001: 336-347 | |
| 14 | Joshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung: A Cube Model and Cluster Analysis for Web Access Sessions. WEBKDD 2001: 48-67 | |
| 13 | Michael K. Ng, Wilson C. Kwan: High-Resolution Color Image Reconstruction with Neumann Boundary Conditions. Annals OR 103(1-4): 99-113 (2001) | |
| 2000 | ||
| 12 | Zhexue Huang, Michael K. Ng, Tao Lin, David Wai-Lok Cheung: An Interactive Approach to Building Classification Models by Clustering and Cluster Validation. IDEAL 2000: 23-28 | |
| 11 | Joyce C. Wong, Michael K. Ng: A Tabu Search Based Algorithm for Clustering Categorical Data Sets. IDEAL 2000: 559-564 | |
| 10 | Michael K. Ng, Wilson C. Kwan, Raymond H. Chan: A Fast Algorithm for High-Resolution Color Image Reconstruction with Multisensors. NAA 2000: 615-627 | |
| 9 | Daniele Bertaccini, Michael K. Ng: Skew-Circulant Preconditioners for Systems of LMF-Based ODE Codes. NAA 2000: 93-101 | |
| 8 | Michael K. Ng, Robert J. Plemmons, Sanzheng Qiao: Regularization of RIF blind image deconvolution. IEEE Transactions on Image Processing 9(6): 1130-1134 (2000) | |
| 7 | Michael K. Ng: K-Means-Type Algorithms on Distributed Memory Computer. International Journal of High Speed Computing 11(2): 75-91 (2000) | |
| 6 | Michael K. Ng: A note on constrained k-means algorithms. Pattern Recognition 33(3): 515-519 (2000) | |
| 1999 | ||
| 5 | Wilson C. Kwan, Michael K. Ng: Iterative Methods for Phase Diversity-Based Blind Deconvolution in Atmospheric Optics. ICIP (1) 1999: 198-200 | |
| 4 | Michael K. Ng, Wilson C. Kwan: Map Regularized Image Reconstruction with Multisensors. ICIP (3) 1999: 464-468 | |
| 3 | Michael K. Ng, Zhexue Huang: Data-mining massive time series astronomical data: challenges, problems and solutions. Information & Software Technology 41(9): 545-556 (1999) | |
| 2 | Michael K. Ng: A note on policy algorithms for discounted Markov decision problems. Oper. Res. Lett. 25(4): 195-197 (1999) | |
| 1998 | ||
| 1 | Michael K. Ng, Zhexue Huang, Markus Hegland: Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. PAKDD 1998: 401-402 | |