Michael K. Ng

发表

Iterative Refinement for Multi-Source Visual Domain Adaptation

Qingyao Wu, Guosheng Lin, Hanrui Wu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Hierarchical Information-Theoretic Co-clustering for High Dimensional Data

Yunming Ye, Xutao Li, Michael K. Ng, 2011 .

CLUSTERING PROBLEMS USING TABU SEARCH TECHNIQUES

Michael K. Ng, 2003 .

Transductive Multi-Label Learning via Alpha Matting

Zhi-Hua Zhou, Michael K. Ng, Xiang-Nan Kong, 2009 .

A hybrid algorithm for spatial and wavelet domain image restoration

Hong Liu, Wai-Ki Ching, You-Wei Wen, 2005, Visual Communications and Image Processing.

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion pdf

Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Multivariate Markov chain models

Wai-Ki Ching, Wenan Zang, Michael K. Ng, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Multivariate Markov Chains

Tak Kuen Siu, Wai-Ki Ching, Michael K. Ng, 2013 .

Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting pdf

Michael K. Ng, Qiyu Jin, Zhigang Jia, 2020, IEEE Transactions on Image Processing.

Markov Chains: Models, Algorithms and Applications

Tak Kuen Siu, Wai-Ki Ching, Michael K. Ng, 2006 .

Preconditioned iterative methods for superresolution image reconstruction with multisensors

Michael K. Ng, Kenton Sze, Kenton N. Sze, 2000, SPIE Optics + Photonics.

MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product

Yunming Ye, Xutao Li, Michael K. Ng, 2020, IJCAI.

Hidden Markov Chains

Tak Kuen Siu, Wai-Ki Ching, Michael K. Ng, 2013 .

Weighting Method for Feature Selection in K-Means

Yunming Ye, Joshua Zhexue Huang, Jun Xu, 2007 .

Super-resolution images from blurred observations

Michael K. Ng, Andy C. Yau, 2003, SPIE Optics + Photonics.

Multiple graph semi-supervised clustering with automatic calculation of graph associations

Michael K. Ng, Ye Liu, Hong Zhu, 2020, Neurocomputing.

Compressive total variation for image reconstruction and restoration

Peng Li, Wengu Chen, Michael K. Ng, 2020, Comput. Math. Appl..

Markov Decision Processes for Customer Lifetime Value

Tak Kuen Siu, Wai-Ki Ching, Michael K. Ng, 2013 .

Modeling Gene Expression Network with PCA-NN on Continuous Inputs and Outputs Basis

Wai-Ki Ching, Sio-Iong Ao, Michael K. Ng, 2005 .

Zoom-based super-resolution reconstruction approach using prior total variation

Subhasis Chaudhuri, Huanfeng Shen, Michael K. Ng, 2007 .

Higher-Order Markov Chains

Tak Kuen Siu, Wai-Ki Ching, Michael K. Ng, 2013 .

Robust tensor completion using transformed tensor singular value decomposition

Michael K. Ng, Xiongjun Zhang, Guangjing Song, 2020, Numer. Linear Algebra Appl..

Superlinear Convergence of a General Algorithm for the Generalized Foley–Sammon Discriminant Analysis

Li-Zhi Liao, Michael K. Ng, Lei-Hong Zhang, 2013, J. Optim. Theory Appl..

On Multivariate Markov Chains for Common and Non-Common Objects in Multiple Networks

Yunming Ye, Wen Li, Xutao Li, 2012 .

Manufacturing and Re-manufacturing Systems

Tak Kuen Siu, Michael K. Ng, Wai-Ki Ching, 2013 .

A Fast Algorithm for Blind Channel Identification

Michael K. Ng, 2002 .

On Multi-dimensional Markov Chain Models

Wai-Ki Ching, Michael K. Ng, Shu-Qin Zhang, 2007 .

A Hybrid Numerical Algorithm for Computing Page Rank

Wai-Ki Ching, Michael K. Ng, Wai-On Yuen, 2005 .

Retinex image enhancement via a learned dictionary

Tieyong Zeng, Wei Wang, Michael K. Ng, 2015 .

New RIP Bounds for Recovery of Sparse Signals With Partial Support Information via Weighted ${\ell_{p}}$ -Minimization

Wengu Chen, Michael K. Ng, Huanmin Ge, 2020, IEEE Transactions on Information Theory.

A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification

Mingkui Tan, Qingyao Wu, Jian Chen, 2020 .

A note on policy algorithms for discounted Markov decision problems

Michael K. Ng, 1999, Oper. Res. Lett..

A Text Clustering System based on k-means Type Subspace Clustering and Ontology

Joshua Zhexue Huang, Xinhua Yang, Liping Jing, 2008 .

Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches pdf

Michael K. Ng, Jing Guo, Chen Luo, 2020, ArXiv.

Queueing Systems and the Web

Tak Kuen Siu, Wai-Ki Ching, Michael K. Ng, 2013 .

Super-resolution image restoration from blurred observations

Nirmal K. Bose, Michael K. Ng, Andy C. Yau, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Blind channel identification and the eigenvalue problem of structured matrices

Michael K. Ng, 1997 .

Mathematical analysis of super-resolution methodology

Nirmal K. Bose, Michael K. Ng, M. Ng, 2003, IEEE Signal Process. Mag..

Online Heterogeneous Transfer Learning by Knowledge Transition

Qingyao Wu, Huaqing Min, Hanrui Wu, 2019, ACM Trans. Intell. Syst. Technol..

Geometric Knowledge Embedding for unsupervised domain adaptation

Qingyao Wu, Hanrui Wu, Yuguang Yan, 2020, Knowl. Based Syst..

Parallel Active Subspace Decomposition for Tensor Robust Principal Component Analysis

Michael K. Ng, Xue-Zhong Wang, 2020 .

A Hidden Markov Model for Customer Classification

Tak Kuen Siu, Wai-Ki Ching, Michael K. Ng, 2013 .

Deep Reinforcement Active Learning for Medical Image Classification

Ming Yang, Yuguang Yan, Michael K. Ng, 2020, MICCAI.

Outlier Detection in Large-Scale Traffic Data by Regression Analysis

Nelson H. C. Yung, Michael K. Ng, Henry Y. T. Ngan, 2018 .

On Computation with Higher-order Markov Chains

Wai-Ki Ching, Michael K. Ng, Shu-Qin Zhang, 2005 .