Michael NG

My Research

Numerical Linear Algebra and Scientific Computing

Imaging Science

Data Science

 

 


Numerical Linear Algebra and Scientific Computing

In Memory of Gene Howard Golub

Invited Talk
Michael was the plenary speaker of SIAM Conference on Applied Linear Algebra (2009) [the first Chinese plenary speaker of SIAM LA since 1985 (the second SIAM LA85)]. Here are the presentation slides with the title Numerical Linear Algebra, Data Mining and Image Processing and related papers:
  • M. Ng, G. Qiu and A. Yip, Numerical Methods for Interactive Multiple Class Image Segmentation Problems , International Journal of Imaging Systems and Technology, 20 (2010), pp. 191-201.
  • X. Kong, M. Ng and Z. Zhou, Transductive Multi-Label Learning via Alpha Matting , IEEE Transactions on Knowledge and Data Engineering, 25 (2013), pp. 704-719.
  • L. Zhang, L. Liao and M. Ng, Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis , SIAM Journal on Matrix Analysis and Applications, 31 (2010), pp. 1584-1605.
  • Projects
  • Z. Jia, M. Ng and G. Song, Lanczos Method for Large-Scale Quaternion Singular Value Decomposition, Numerical Algorithms and Examples and Codes (September 2018)
  • J. Jiang and M. Ng, Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization, preprint (August 2017)
  • G. Song and M. Ng, Nonnegative Low Rank Matrix Approximation for Nonnegative Matrices (February 2020)


  • Imaging Science

    Projects
  • Z. Jia, M. Ng and G. Song, Robust Quaternion Matrix Completion with Applications to Image Inpainting, Numerical Linear Algebra with Applications
  • Y. Huang, M. Ng and Y. Wen, A Fast Total Variation Minimization Method for Image Restoration, SIAM Journal on Multiscale Modeling and Simulation, V7 (2008), pp. 774-795
    Codes: Fast TV Programs
  • M. Nikolova, M. Ng and C. Tam, Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction, IEEE Transactions on Image Processing, 19 (2010), pp. 3073-3088
    Codes: ReadMe.txt, demoFNNMM.m, FNNMM1.m, FNNMM2.m, TwoCircles.tif
  • Z. Jin and M. Ng, A Contrast Maximization Method for Color-to-Grayscale Conversion, Multidimensional Systems and Signal Processing, V26 (2015), pp. 869-877
    Z. Jin, Fang Li and M. Ng, A Variational Approach for Image Decolorization By Variance Maximization, SIAM Journal on Imaging Sciences, V7 (2014), pp. 944-968,
    Codes: Global Color-to-Grey Program and Local Color-to-Grey Program


  • Data Science

    Projects
  • H. Zhu, L. Liao and M. Ng, Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality, Neural Computation V30 (2018), pp. 3281-3308
    Example and Codes
  • C. Chuan, M. Ng and S. Zhang, Block Spectral Clustering for Multiple Graphs with Inter-Relation, Network Modeling Analysis in Health Informatics and Bioinformatics 6:8 (2017)
    Codes and Datasets
  • M. Ng, X. Li and Y. Ye, MultiRank: Co-ranking for Objects and Relations in Multi-relational Data (17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 21-24, 2011, San Diego, CA, pp. 1217-1225) and UIC Lecture
  • X. Li, M. Ng and Y. Ye, HAR: Hub, Authority and Relevance Scores in Multi-relational Data for Query Search (2012 SIAM International Conference on Data Mining, CA, pp. 141-152) and Video Lecture at The International Conference on Scientific Computing , In honor of Prof. Tony F. Chan at his 60th birthday for his contributions in Scientific Computing, CUHK, January 4-7, 2012
  • M. Ng, Q. Wu and Y. Ye, Co-transfer Learning via Joint Transition Probability Graph Based Method (The First International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Beijing, China) and the journal version: Co-Transfer Learning Using Coupled Markov Chains with Restart (IEEE Intelligent Systems)
  • Multi-Transfer Learning: flower-tree dataset example: ML-Learn MATLAB program and datesets used: Cross-Language data and Image-Text data
  • CLUSTAG and WCLUSTAG:
  • *** CLUSTAG - A tag SNP selection program (Bioinformatics, V21, pp. 1735-1736)
    *** WCLUSTAG - An advanced tag SNP selection program (Bioinformatics, V23, pp. 129-131)
    *** SKM-SNP: SNP Markers Detection Method Website
  • Sparse Fisher Discriminant Method Website