T. Chow

发表

2-D analysis for iterative learning controller for discrete-time systems with variable initial conditions

Yong Fang, T. Chow, 2003 .

Nonlinear dynamical systems control using a new RNN temporal learning strategy

Tommy W. S. Chow, Yong Fang, Yong Fang, 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

An iterative learning control method for continuous-time systems based on 2-D system theory

Yong Fang, T. Chow, 1998 .

Use of a recurrent neural network in discrete sliding-mode control

Yong Fang, T. Chow, X. D. Li, 1999 .

Nonlinear autoregressive integrated neural network model for short-term load forecasting

T. Chow, C. Leung, 1996 .

Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Knowledge and Data Engineering.

Binary neighbourhood field optimisation for unit commitment problems

T. Chow, Zhou Wu, 2013 .

Induction machine fault detection using clone selection programming

Tommy W. S. Chow, Ming-Bo Zhao, Zhaohui Gan, 2009, Expert Syst. Appl..

Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques

T. Chow, D. Huang, D. Huang, 2007, TCBB.

A Graph-Induced Pairwise Constrained Embedding Framework and Extensions under Trace Ratio Criterion for Manifold Learning

T. Chow, Mingbo Zhao, Zhao Zhang, 2012 .

A local multiobjective optimization algorithm using neighborhood field

Tommy W. S. Chow, T. Chow, Zhou Wu, 2012 .

Heterogeneous feature subset selection using mutual information-based feature transformation

Tommy W. S. Chow, Min Wei, Rosa H. M. Chan, 2015, Neurocomputing.

Anewdualwing harmoniummodel for document retrieval

T. Chow, Haijun Zhang, Mkm Rahman, 2009 .

Orthogonal wavelet neural networks applying to identification of Wiener model

Tommy W. S. Chow, Yong Fang, Yong Fang, 2000 .

Neural network piecewise linear preprocessing for time-series prediction

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1995, ESANN.

Modeling Sequential Annotations for Sequence Labeling With Crowds

T. Chow, Xiaolei Lu, 2021, IEEE Transactions on Cybernetics.

Efficient and Scalable Recommendation via Item-Item Graph Partitioning

T. Chow, Tianjun Wei, Jianghong Ma, 2022, ArXiv.

A novel feature selection method and its application

T. Chow, Bing Li, Di-ming Huang, 2013, Journal of Intelligent Information Systems.

Generalized Particle Swarm Optimizer with Tracking Multiple Local Optima for Multimodal Functions Optimization

T. Chow, A. Fong, Haijun Zhang, 2009, 2009 International Conference on Computing, Engineering and Information.

Mining language variation using word using and collocation characteristics

Tommy W. S. Chow, Peng Tang, T. Chow, 2014, Expert Syst. Appl..

Face Matching in Large Database by Self-Organizing Maps

Tommy W. S. Chow, M. K. M. Rahman, T. Chow, 2006, Neural Processing Letters.

Robust face recognition using generalized neural reflectance model

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2006, Neural Computing & Applications.

Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach

Tommy W. S. Chow, Gang Liu, Wenyin Liu, 2011, IEEE Transactions on Neural Networks.

Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs

Tommy W. S. Chow, Jean-Charles Delvenne, Hadrien Van Lierde, 2018, J. Complex Networks.

Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2015, IEEE Transactions on Knowledge and Data Engineering.

Automatic image annotation via compact graph based semi-supervised learning

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2015, Knowl. Based Syst..

Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2014, Neural Networks.

Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia

Tommy W. S. Chow, Peng Tang, Rosa H. M. Chan, 2013, IEEE Signal Processing Letters.

Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Pattern Recognit..

PRSOM: a new visualization method by hybridizing multidimensional scaling and self-organizing map

Tommy W. S. Chow, Sitao Wu, T. Chow, 2005, IEEE Transactions on Neural Networks.

A flexible multi-layer self-organizing map for generic processing of tree-structured data

Tommy W. S. Chow, Sitao Wu, M. K. M. Rahman, 2007, Pattern Recognit..

Towards the Enhancement of Gene Selection Performance

Tommy W. S. Chow, Di Huang, T. Chow, 2008, Computational Intelligence in Bioinformatics.

Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Knowledge and Data Engineering.

SEMISUPERVISED MULTIMODAL DIMENSIONALITY REDUCTION

Tommy W. S. Chow, Zhao Zhang, Ning Ye, 2013, Comput. Intell..

Robust linearly optimized discriminant analysis

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2012, Neurocomputing.

Induction machine fault detection using SOM-based RBF neural networks

Tommy W. S. Chow, Sitao Wu, T. Chow, 2004, IEEE Transactions on Industrial Electronics.

Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2020, IEEE Transactions on Big Data.

Exactly Robust Kernel Principal Component Analysis

Jicong Fan, Tommy W. S. Chow, T. Chow, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Multi-Label Low-dimensional Embedding with Missing Labels

Tommy W. S. Chow, Haijun Zhang, Jianghong Ma, 2017, Knowl. Based Syst..

Deep learning based matrix completion

T. Chow, Jicong Fan, 2017, Neurocomputing.

Sparse subspace clustering for data with missing entries and high-rank matrix completion

Jicong Fan, Tommy W. S. Chow, T. Chow, 2017, Neural Networks.

Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks

Tommy W. S. Chow, Guanrong Chen, Hadrien Van Lierde, 2020, IEEE Transactions on Knowledge and Data Engineering.

A Hypergraph Model for Incorporating Social Interactions in Collaborative Filtering

Tommy W. S. Chow, Hadrien Van Lierde, T. Chow, 2017, DMCIT '17.

A weight initialization method for improving training speed in feedforward neural network

Tommy W. S. Chow, Jim Y. F. Yam, T. Chow, 2000, Neurocomputing.

Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer

Tommy W. S. Chow, Di Huang, T. Chow, 2007, Bioinform..

Clone selection programming and its application to symbolic regression

Tommy W. S. Chow, Zhaohui Gan, W. N. Chau, 2009, Expert Syst. Appl..

Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2017, Neural Processing Letters.

Support vector visualization and clustering using self-organizing map and vector one-class classification

Tommy W. S. Chow, Sitao Wu, T. Chow, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Data Reduction for Pattern Recognition and Data Analysis

Tommy W. S. Chow, Di Huang, T. Chow, 2008, Computational Intelligence: A Compendium.

Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis

Tommy W. S. Chow, Jinyan Li, Di Huang, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Effective feature selection scheme using mutual information

Tommy W. S. Chow, Di Huang, T. Chow, 2005, Neurocomputing.

Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information

Tommy W. S. Chow, Di Huang, T. Chow, 2005, IEEE Transactions on Neural Networks.

Enhanced feature selection models using gradient-based and point injection techniques

Tommy W. S. Chow, Di Huang, Zhaohui Gan, 2008, Neurocomputing.

Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques

Tommy W. S. Chow, Di Huang, T. Chow, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques

Tommy W. S. Chow, Di Huang, T. Chow, 2006, ICONIP.

Effective Gene Selection Method Using Bayesian Discriminant Based Criterion and Genetic Algorithms

Tommy W. S. Chow, Di Huang, Zhaohui Gan, 2008, J. Signal Process. Syst..

Efficiently searching the important input variables using Bayesian discriminant

Tommy W. S. Chow, Di Huang, T. Chow, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 1999, Neurocomputing.

Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode

Tommy W. S. Chow, Hongzhou Tan, Xiao-Dong Li, 2007, IEEE Transactions on Control Systems Technology.

Query-oriented text summarization based on hypergraph transversals pdf

Tommy W. S. Chow, Hadrien Van Lierde, T. Chow, 2019, Inf. Process. Manag..

Organizing Books and Authors by Multilayer SOM

Tommy W. S. Chow, Q. M. Jonathan Wu, Haijun Zhang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Performance enhancement using nonlinear preprocessing

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1996, IEEE Trans. Neural Networks.

NONLINEAR DILATION NETWORK FOR PREDICTION APPLICATIONS

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1994 .

Quasi-sliding mode based repetitive control for nonlinear continuous-time systems with rejection of periodic disturbances

Tommy W. S. Chow, Xiao-Dong Li, John K. L. Ho, 2009, Autom..

Blind equalization of a noisy channel by linear neural network

Tommy W. S. Chow, Yong Fang, Yong Fang, 1999, IEEE Trans. Neural Networks.

Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

Tommy W. S. Chow, Michael G. Pecht, Xiaohang Jin, 2014, IEEE Transactions on Industrial Electronics.

Anomaly Detection and Fault Prognosis for Bearings

Tommy W. S. Chow, Yi Sun, Yu Wang, 2016, IEEE Transactions on Instrumentation and Measurement.

HOS-based nonparametric and parametric methodologies for machine fault detection

Tommy W. S. Chow, Hongzhou Tan, T. Chow, 2000, IEEE Trans. Ind. Electron..

Noise robustness enhancement using fourth-order cumulants cost function

T.W.S. Chow, Chi-Tat Leung, T. Chow, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

On the identification of non-minimum phase non-gaussian MA and ARM A models using a third-order cumulant

Gou Fei, T. Chow, T. W. S. Chow, 1995 .

Three phase induction machines asymmetrical faults identification using bispectrum

Tommy W. S. Chow, Gou Fei, T. Chow, 1995 .

Spatiotemporal Tree Filtering for Enhancing Image Change Detection

Siyuan Yan, Mingbo Zhao, Tommy W S Chow, 2020, IEEE Transactions on Image Processing.

A new shifting grid clustering algorithm

Tommy W. S. Chow, Eden W. M. Ma, T. Chow, 2004, Pattern Recognit..

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2018, Neural Networks.

Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density

Tommy W. S. Chow, Sitao Wu, T. Chow, 2004, Pattern Recognit..

Effective strategy of adding nodes and links for maximizing the traffic capacity of scale-free network.

Wei Huang, Tommy W S Chow, T. Chow, 2010, Chaos.

Content-based image retrieval using growing hierarchical self-organizing quadtree map

Tommy W. S. Chow, Sitao Wu, M. K. M. Rahman, 2005, Pattern Recognit..

Contour Gradient Optimization

Tommy W. S. Chow, Yuhui Shi, Zhou Wu, 2020, Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems.

The estimation theory and optimization algorithm for the number of hidden units in the higher-order feedforward neural network

T.W.S. Chow, Jin-Yan Li, Ying-Lin Yu, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Determining initial weights of feedforward neural networks based on least squares method

Tommy W. S. Chow, Yat-Fung Yam, T. Chow, 1995, Neural Processing Letters.

Non-linear matrix completion

Jicong Fan, Tommy W. S. Chow, T. Chow, 2017, Pattern Recognit..

A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 1999, Neural Processing Letters.

Industrial neural vision system for underground railway station platform surveillance

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2002, Adv. Eng. Informatics.

A neural-based crowd estimation by hybrid global learning algorithm

Tommy W. S. Chow, Siu-Yeung Cho, Chi-Tat Leung, 1999, IEEE Trans. Syst. Man Cybern. Part B.

Analyzing rough set based attribute reductions by extension rule

Tommy W. S. Chow, Bing Li, Peng Tang, 2014, Neurocomputing.

A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics

Tommy W. S. Chow, Yong Fang, Yong Fang, 1998, IEEE Trans. Ind. Electron..

ExpGCN: Review-aware Graph Convolution Network for explainable recommendation

T. Chow, Mingbo Zhao, Tianjun Wei, 2022, Neural Networks.

Object-Level Video Advertising: An Optimization Framework

Tommy W. S. Chow, Haijun Zhang, Xiong Cao, 2017, IEEE Transactions on Industrial Informatics.

Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization

Hadrien Van Lierde, Tommy W.S. Chow, T. Chow, 2019, Inf. Sci..

Nonlinear System Representation

Tommy W. S. Chow, Yong Fang, T. Chow, 1999 .

A least third-order cumulants objective function

Tommy W. S. Chow, Chi-Tat Leung, Yat-Fung Yam, 1996, Neural Processing Letters.

Adaptive Regularization Parameter Selection Method for Enhancing Generalization Capability of Neural Networks

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1999, Artif. Intell..

Approximation of dynamical time-variant systems by continuous-time recurrent neural networks

Tommy W. S. Chow, Xiao-Dong Li, John K. L. Ho, 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

Modeling of continuous time dynamical systems with input by recurrent neural networks

Tommy W. S. Chow, Xiao-Dong Li, T. Chow, 2000 .

Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods

Jicong Fan, Xiaohang Jin, Tommy W.S. Chow, 2019, IEEE Transactions on Instrumentation and Measurement.

Bridging User Interest to Item Content for Recommender Systems: An Optimization Model

Haijun Zhang, Mingbo Zhao, Yanfang Sun, 2020, IEEE Transactions on Cybernetics.

An online cellular probabilistic self-organizing map for static and dynamic data sets

Tommy W. S. Chow, Sitao Wu, T. Chow, 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

Computational accounting in determining Chart of Accounts using nominal data analysis and concept of entropy

Tommy W. S. Chow, P. Y. Wang, Chris W. F. Chiu, 2009, Expert Syst. Appl..

A New Feature Selection Scheme Using a Data Distribution Factor for Unsupervised Nominal Data

Tommy W. S. Chow, Piyang Wang, Eden W. M. Ma, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Development of a recurrent Sigma-Pi neural network rainfall forecasting system in Hong Kong

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 1997, Neural Computing & Applications.

Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework

Tommy W S Chow, Haijun Zhang, Jianghong Ma, 2019, IEEE Transactions on Cybernetics.

Label-specific feature selection and two-level label recovery for multi-label classification with missing labels

Jianghong Ma, Tommy W S Chow, T. Chow, 2019, Neural Networks.

Topic-Based Algorithm for Multilabel Learning With Missing Labels

Jianghong Ma, Tommy W S Chow, T. Chow, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Robust non-negative sparse graph for semi-supervised multi-label learning with missing labels

Tommy W. S. Chow, Jianghong Ma, T. Chow, 2018, Inf. Sci..

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Neural Networks.

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Tensor Locally Linear Discriminative Analysis

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2011, IEEE Signal Processing Letters.

Iterative learning control for linear time-variant discrete systems based on 2-D system theory

Tommy W. S. Chow, John K. L. Ho, Xiao-Dong Li, 2005 .

Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection

Tommy W. S. Chow, M. K. M. Rahman, T. Chow, 2009, IEEE Transactions on Neural Networks.

Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation

Tommy W. S. Chow, Li Zhang, Shuicheng Yan, 2016, IEEE Transactions on Signal Processing.

Chattering free sliding mode control based on recurrent neural network

Tommy W. S. Chow, Yong Fang, Yong Fang, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system

Tommy W. S. Chow, Xiaohang Jin, T. Chow, 2013, Expert Syst. Appl..

Iterative learning control with initial rectifying action for nonlinear continuous systems

Tommy W. S. Chow, John K. L. Ho, Jun Zhang, 2009 .

Classification and Feature Selection

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2007 .

Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients

Tommy W. S. Chow, Jim Y. F. Yam, T. Chow, 2001, IEEE Trans. Neural Networks.

An investigation into fan reliability

M. Pecht, Xiaohang Jin, E. W. M. Ma, 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation

Tommy W. S. Chow, Mingbo Zhao, Zhaoyang Tian, 2019, Neural Computing and Applications.

Probabilistic fault detector for Wireless Sensor Network

Tommy W. S. Chow, Eden W. M. Ma, Bill C. P. Lau, 2014, Expert Syst. Appl..

A local multiobjective optimization algorithm using neighborhood field

T. Chow, Zhou Wu, 2012 .

Neighborhood field for cooperative optimization

T. Chow, Zhou Wu, 2013, Soft Comput..

Local cooperation delivers global optimization

Tommy W. S. Chow, Zhou Wu, Lu Xu, 2012, 2012 IEEE Congress on Evolutionary Computation.

Self-Organizing Potential Field Network: A New Optimization Algorithm

Tommy W. S. Chow, Lu Xu, T. Chow, 2010, IEEE Transactions on Neural Networks.

Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data

Tommy W. S. Chow, Shuang Wang, Xiaofei Xu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Matrix completion by least-square, low-rank, and sparse self-representations

Jicong Fan, Tommy W. S. Chow, T. Chow, 2017, Pattern Recognit..

A real-time learning control approach for nonlinear continuous-time system using recurrent neural networks

Tommy W. S. Chow, Yong Fang, Xiao-Dong Li, 2000, IEEE Trans. Ind. Electron..

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning

Tommy W. S. Chow, Yunming Ye, Qingyao Wu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation

Tommy W S Chow, Jianghong Ma, Bernard Chi Yuen Chiu, 2020, IEEE Transactions on Cybernetics.

Topic-Based Instance and Feature Selection in Multilabel Classification

Tommy W S Chow, Jianghong Ma, T. Chow, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2015, Inf. Sci..

Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction

Tommy W. S. Chow, Xiaolei Lu, T. Chow, 2021, IEEE Transactions on Knowledge and Data Engineering.

Locality Constrained-ℓp Sparse Subspace Clustering for Image Clustering

Tommy W. S. Chow, Mingbo Zhao, Wenlong Cheng, 2016, Neurocomputing.

Induction machine fault diagnostic analysis with wavelet technique

Tommy W. S. Chow, Shi Hai, T. Chow, 2004, IEEE Transactions on Industrial Electronics.

Graph model-based salient object detection using objectness and multiple saliency cues

Tommy W. S. Chow, Kuo-Kun Tseng, Q. M. Jonathan Wu, 2019, Neurocomputing.

Soft label based Linear Discriminant Analysis for image recognition and retrieval

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2014, Comput. Vis. Image Underst..

Content-based image retrieval by using tree-structured features and multi-layer self-organizing map

Tommy W. S. Chow, Sitao Wu, M. K. M. Rahman, 2006, Pattern Analysis and Applications.

A new image classification technique using tree-structured regional features

Tommy W. S. Chow, M. K. M. Rahman, T. Chow, 2007, Neurocomputing.

Approach to Fault Identification for Electronic Products Using Mahalanobis Distance

Tommy W. S. Chow, Michael G. Pecht, Sachin Kumar, 2010, IEEE Transactions on Instrumentation and Measurement.

Mutual Information-Based Unsupervised Feature Transformation for Heterogeneous Feature Subset Selection pdf

Tommy W. S. Chow, Min Wei, Rosa H. M. Chan, 2014, ArXiv.

True and fake information spreading over the Facebook

Guanrong Chen, Dong Yang, Zhaoyang Tian, 2018, Physica A: Statistical Mechanics and its Applications.

The competitive information spreading over multiplex social networks

Dong Yang, Lu Zhong, Qingpeng Zhang, 2018, Physica A: Statistical Mechanics and its Applications.

An exponential triangle model for the Facebook network based on big data

Tommy W. S. Chow, Dong Yang, Guanrong Chen, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

Li-ion battery parameter identification with low pass filter for measurement noise rejection

Mo-Yuen Chow, Cong-Sheng Huang, Tommy Wai-Shing Chow, 2017, 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE).

PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization

Tommy W. S. Chow, Yang Xu, Lu Xu, 2011, Neurocomputing.

PolSOM: A new method for multidimensional data visualization

Tommy W. S. Chow, Lu Xu, Yang Xu, 2010, Pattern Recognit..

Weighted local and global regressive mapping: A new manifold learning method for machine fault classification

Tommy W. S. Chow, Fang Yuan, Xiaohang Jin, 2014, Eng. Appl. Artif. Intell..

Improving the effectiveness of RBF classifier based on a hybrid cost function

Tommy W. S. Chow, Di Huang, T. Chow, 2007, Neural Computing and Applications.

Clonal selection programming for rotational machine fault classification and diagnosis

Tommy W. S. Chow, Peng Tang, Zhaohui Gan, 2011, 2011 Prognostics and System Health Managment Confernece.

Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization

Tommy W. S. Chow, Sitao Wu, T. Chow, 2007, IEEE Transactions on Neural Networks.

M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Cybernetics.

Functional Approximation of Higher-Order Neural Networks

Tommy W. S. Chow, Jinyan Li, T. Chow, 1996 .

Neural network based short-term load forecasting using weather compensation

Tommy W. S. Chow, C. T. Leung, T. Chow, 1996 .

An adaptive demodulator for the chaotic modulation communication system with RBF neural network

Tommy W. S. Chow, Jiuchao Feng, K. T. Ng, 2000 .

Multivariate data classification using PolSOM

Lu Xu, Tommy W. S. Chow, T. Chow, 2011, 2011 Prognostics and System Health Managment Confernece.

Learning to Match Clothing From Textual Feature-Based Compatible Relationships

Linlin Liu, Tommy W. S. Chow, Haijun Zhang, 2020, IEEE Transactions on Industrial Informatics.

Exactly Robust Kernel Principal Component Analysis

T. Chow, Jicong Fan, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Naming Game with Multiple Hearers

Tommy W. S. Chow, Guanrong Chen, Bing Li, 2013, Commun. Nonlinear Sci. Numer. Simul..

Topology-Based Clustering Using Polar Self-Organizing Map

Tommy W. S. Chow, Lu Xu, Eden W. M. Ma, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Wavelets Based Neural Network for Function Approximation

Tommy W. S. Chow, Yong Fang, T. Chow, 2006, ISNN.

A coarse-to-fine framework to efficiently thwart plagiarism

Tommy W. S. Chow, Haijun Zhang, T. Chow, 2011, Pattern Recognit..

An efficient strategy for enhancing traffic capacity by removing links in scale-free networks

Tommy W. S. Chow, Wei Huang, T. Chow, 2010 .

Investigation of both local and global topological ingredients on transport efficiency in scale-free networks.

Tommy W S Chow, Wei Huang, T. Chow, 2009, Chaos.

Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis

Tommy W. S. Chow, Yi Sun, Xiaohang Jin, 2014, Wireless Networks.

Learning Performance and Enhancement

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2007 .

Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2012, Expert Syst. Appl..

Searching optimal feature subset using mutual information

Tommy W. S. Chow, Di Huang, T. Chow, 2003, ESANN.

Evaluating covariance in prognostic and system health management applications

Tommy W. S. Chow, Michael Pecht, Xiaohang Jin, 2015 .