1) Peng Tang, Mingbo Zhao, * Tommy W. S. Chow*, Text Style Analysis using Trace Ratio Criterion Patch Alignment Embedding,

2) Xiaohang Jin, Fang Yuan, * Tommy W. S. Chow*, Mingbo Zhao Weighted Local and Global Regressive Mapping: A New Manifold Learning Method for Machine Defect Classification,

3) Yu Wang, Xiongfei Wei, K L Tsui, * Tommy W. S. Chow*, Tribological Degradation of Head-disk Interface in Hard Disk Drives under Accelerated Wear Condition,

4) Bill C.P. Lau, Eden W.M. Ma, * Tommy W. S. Chow*, Probabilistic Fault Detector for Wireless Sensor Network,

5) Xiaohang Jin, Mingbo Zhao, * Tommy W. S. Chow*, and Michael Pecht, Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis,

6) Yu Wang, Eden W. M. Ma, * Tommy W. S. Chow*, and K. L. Tsui, A Two-step Parametric Method for Failure Prediction in Hard Disk Drives,

7) Bing Li, * Tommy W. S. Chow*, Peng Tang, Analyzing Rough Set based Attribute Reductions by Extension Rule,

8) Xiaohang Jin, * Tommy W. S. Chow*, Anomaly Detection of Cooling Fan and Fault Classification of Induction Motor Using Mahalanobis-Taguchi System,

9) Zhao Zhang, Mingbo Zhao, * Tommy W. S. Chow,* Binary- and Multi-Class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification,

10) Bing Li, * Tommy W. S. Chow*, Di Huang, A Novel Feature Selection Method and its Application,

11) Bernard Chiu, Bing Li, * Tommy W. S. Chow*, Novel 3D Ultrasound Image-based Biomarkers based on a Feature Selection from a 2D Standardized Vessel Wall Thickness Map: a Tool for Sensitive Assessment of Therapies for Carotid Atherosclerosis,

12) Peng Tang, * Tommy W. S. Chow*, Recognition of Word Collocation Habits using Frequency Rank Ratio and Inter-term Intimacy,

13) Bing Li, Guanrong Chen, * Tommy W. S. Chow*, Naming Game With Multiple Hearers,

14) Zhou Wu, *Tommy W. S. Chow*, Neighborhood Field for Cooperative Optimization, ** Soft Computing**, vol. 17, no. 5, pp 819-834, May 2013

16) Zhao Zhang, * Tommy W. S. Chow,* Mingbo Zhao, Trace Ratio Optimization-based Semi-supervised Nonlinear Dimensionality Reduction For Marginal Manifold Visualization,

17) Zhou Wu, * Tommy W. S. Chow,* Shi Cheng, Yuhui Shi, Contour Gradient Optimization,

19) Zhou Wu, *Tommy W. S. Chow*, Binary Neighbourhood Field Optimisation for Unit Commitment Problems, ** IET Generation, Transmission & Distribution**, vol. 7, no. 3, pp. 298 C 308, Mar. 2013.

20) Zhao Zhang, * Tommy W. S. Chow*, Ning Ye, Semisupervised Multimodal Dimensionality Reduction,

21) Zhao Zhang, * Tommy W. S. Chow*, Mingbo Zhao, M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction,

22) Zhao Zhang, Mingbo Zhao,* Tommy W. S. Chow*, Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition,

23) Zhou Wu, * Tommy W. S. Chow*, A Local Multiobjective Optimization Algorithm using Neighborhood Field,

24) Zhao Zhang, Mingbo Zhao,* Tommy W. S. Chow*, Constrained Large Margin Local Projection Algorithms and Extensions for Multimodal Dimensionality Reduction,

25) Mingbo Zhao, * Tommy W. S. Chow*, Zhao Zhang, Random Walk-based Fuzzy Linear Discriminant Analysis for Dimensionality Reduction,

26) Wenbin Wang, Matthew J. Carr, * Tommy W. S. Chow*, Michael Pecht, A Two-Level Inspection Model with Technological Insertions,

27) Haijun Zhang, Jonathan Q. M. Wu*, Tommy W. S. *

28) Mingbo Zhao, Zhao Zhang, * Tommy W. S. Chow,* Trace Ratio Criterion based Generalized Discriminative Learning for Semi-Supervised Dimensionality Reduction,

29) Mingbo Zhao, * Tommy W. S. Chow,* Zhao Zhang, Random Walk-based Fuzzy Linear Discriminant Analysis for Dimensionality Reduction,

30) Zhao Zhang, * Tommy W. S. Chow*, Robust Linearly Optimized Discriminant Analysis,

31) Zhao Zhang, * Tommy W. S. Chow*, MaximumMarginMultisurfaceSupportTensor MachineswithApplicationtoImageClassificationandSegmentation,

32) HaiJun Zhang, Gang. Liu, * Tommy W. S. Chow*, Wenyin Liu, Textual and Visual Content-based Anti-phishing: A Bayesian Approach,

33) Zhao Zhang, * Tommy W. S. Chow*, Tensor Locally Linear Discriminative Analysis,

34) Yang Xu, Lu Xu, and __Tommy W. S. Chow__**, **PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization,** Neurocomputing, **Vol. 74, Iss 11, pp. 2018-2027, May 2011.

35) Haijun Zhang,* Tommy W. S. *

36) Lu Xu, * Tommy W. S. Chow*, Self-Organizing Potential Field Network: A New Optimization Algorithm,

37) Wei Huang, * Tommy W. S. Chow*, Effective strategy of adding nodes and links for maximizing the traffic capacity of scale-free network,

39) Haijun Zhang,* Tommy W. S. *

40) Lu Xu, Yang Xu, * Tommy W. S. Chow*, PolSOM: A New Method for Multidimensional Data Visualization,

41) M. K. M. Rahman,* Tommy W. S. Chow*, Content-based Hierarchical Document Organization using Multi-Layer Hybrid Network and Tree-Structured Features,

42) Wei Huang, * Tommy W. S. Chow*, Network Topological Optimization for Packet Routing Using Multi-objective Simulated Annealing Method,

43) Wei Huang, * Tommy W. S. Chow*, An efficient strategy for enhancing traffic capacity by removing links in scale-free networks,

44) Wei Huang, * Tommy W. S. Chow*, Investigation of both local and global topological ingredients on transport efficiency in scale-free networks,

45) * Tommy W. S. Chow*, Haijun Zhang, M. K. M. Rahman, A New Document Representation Using Term Frequency and Vectorized Graph Connectionists with Application to Document Retrieval,

46) Haijun Zhang,* Tommy W. S. Chow*, M. K. M. Rahman, A new Dual Wing Harmonium Model for Document Retrieval,

47) * T. W. S. Chow*, M. K. M. Rahman, Multi-Layer SOM with Tree Structured Data for Efficient Document Retrieval and Plagiarism Detection,

48) Zhaohui Gan, Ming-Bo Zhao, * T. W. S. Chow*, Induction machine fault detection using clone selection programming,

49) P. Y. Wang, * T. W. S. Chow*, Chris W. F. Chiu, Computational Accounting in determining Chart-of-Accounts Using Nominal Data Analysis and Concept of Entropy,

50) X. D. Li, * T. W. S. Chow*, John K. L. Ho, Iterative Learning Control with Initial Rectifying Action for Nonlinear Continuous Systems,

51) Zhaohui Gan, * T. W. S. Chow*, W. N. Chau, Clone Selection Programming and Its Application to Symbolic Regression,

52) X. D. Li, __T.__* W. S. Chow*, and John K. L. Ho, Quasi-Sliding Mode Based Repetitive Control for Nonlinear Continuous-Time Systems with Rejection of Periodic Disturbances,

53) D. Huang, Zhaohui Gan, * T. W. S. Chow*, Enhanced Feature Selection Models using Gradient-based and Point injection techniques,

54) * T. W. S. Chow*, P. Y. Wang, and Eden W. M, Ma, A New Feature Selection Scheme using data distribution factor for unsupervised nominal data,

55) X. D. Li, * T. W. S. Chow*, John K. L. Ho, Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays,

56) D. Huang, * T. W. S. Chow,* Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer,

57) Zhaohui Gan, * T. W. S. Chow*, D. Huang, Effective gene selection method using Bayesian discriminant based criterion and genetic algorithms,

58) M. K. M. Rahman,* T. W. S. Chow*, P. Y Wang, Sitao Wu, A Flexible Multi-Layer Self-Organizing Map for Generic Processing of Tree-Structured Data,

59) D. Huang, * T. W. S. Chow*, An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques,

60) Sitao Wu, * T. W. S. Chow,* Self-Organizing and Self-Evolving Neurons: a New Neural Network for Optimization,

61) D. Huang, * T. W. S. Chow*, Effective gene selection method with small sample sets using gradient-based and point injection techniques,

62) * T. W. S. Chow, *M. K. M. Rahman, A New Image Classification Technique using Tree-Structured Regional Features,

63) Xiao-Dong LI, * T. W. S. Chow, *John K. L. Ho, H. Z. Tan, Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode,

64) D. Huang, * T. W. S. Chow*, Improving the effectiveness of RBF classifier based on a hybrid cost function,

65) * T. W. S. Chow*, M. K. M. Rahman, Face Matching in Large Database by Self-Organising Maps,

69) Sitao Wu, * T. W. S. Chow*, K. T. Ng, Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load,

70) S. Y. Cho, * T. W. S. Chow,* Robust Face Recognition By Using Generalized Neural Reflectance Model,

71) D. Huang, * T. W. S. Chow*, Enhancing Density Based Data Reduction Using Entropy,

72) Sitao Wu, * T. W. S. Chow,* PRSOM: A New Visualization Method by Hybridizing Multi-Dimensional Scaling and Self-Organizing Map,

73) Y. Fang, * T. W. S. Chow,* Non-linear Dynamical Systems Control Using a New RNN Temporal Learning Strategy,

74) Xiao-Dong LI , John K. L. Ho and * T. W. S. Chow, *Approximation of Dynamical Time-Variant Systems by Continuous-Time Recurrent Neural Networks,

76) Xiao-Dong LI , John K. L. Ho and * T. W. S. Chow, *An iterative learning control method and mathematical model for robotic manipulation at undesired locations,

77) Xiao-Dong LI, * T. W. S. Chow* , and John K. L. Ho, 2-D System Theory Based Iterative Learning Control for Linear Continuous Systems with Time-Delays,

78) Sitao Wu, M. K. M. Rahman. * T. W. S. Chow*, Content-based image retrieval using growing hierarchical self-organizing quadtree map,

79) D. Huang, and * T. W. S. Chow,* Efficiently searching the important input variables using Bayesian discriminant,

80) Xiao-Dong LI, John K. L. Ho, __T.__* W. S. Chow*, Iterative Learning Control for Linear Time-Variant Discrete Systems Based on 2-D System Theory,

81) * T. W. S. Chow*, D. Huang, Estimating Optimal Features Subset Using Efficient Estimate of High Dimensional Mutual Information,

82) D. Huang, * T. W. S. Chow*, Effective feature selection scheme using mutual information,

83) * T. W.S. Chow*, Shi Hai, Induction machine fault diagnostic analysis with wavelet analysis,

84) Eden W. M. Ma, * T. W. S. Chow, *A new shifting grid clustering algorithm,

85) B. Y. Wang, * T. W. S. Chow*, K. T. Ng, Blind adaptive identification of FIR channel in chaotic communication systems,

86) B. Y. Wang, * T. W. S. Chow*, K. T. Ng An Improved Multipath Channel Identification Algorithm Using Multichannel Linear Prediction,

87) Sitao Wu, * T. W. S. Chow,* Induction machine fault detection using SOM-based RBF neural networks

88) Sitao Wu, * T. W. S. Chow,* Clustering of Self-Organizing-Map Using a Clustering Validity Index Based on Inter-Cluster and Intra-Cluster Density,

89) * T. W. S. Chow,* Sitao Wu, An Online Cellular Probabilistic Self-Organizing Map for Static and Dynamical Data Sets,

90) * T. W. S. Chow,* Sitao Wu, Cell-Splitting Grid: A self-creating and self-organizing Neural Networks,

91) D. Huang, and * T. W. S. Chow*,

92) Sitao Wu, * T. W. S. Chow,* Self-Organizing-Map Based Clustering Using a Local Clustering Validity Index,

93) * T. W. S. Chow*, B. Y. Wang, K. T. Ng, Linear Prediction based Multipath Channel Identification Algorithm,

94) Y. Fang, and * T. W. S. Chow*, 2-D Analysis for Iterative Learning Controller for Discrete-Time Systems with Variable Initial Conditions,

95) B. Y. Wang, * T. W. S. Chow*, K. T. Ng, Adaptive Identification Algorithm for AR System Driven by Chaotic Sequence,

96) * T. W. S. Chow*, B. Y. Wang, K. T. Ng, An adaptive blind channel identification algorithm based on linear prediction for SIMO FIR systems,

97) S. Y. Cho, * T. W. S. Chow*, A New colour 3D SFS methodology Using Neural based Colour Reflectance Models and Iterative Recursive method,

98) S. Y. Cho, * T. W. S. Chow*, K. T. Ng, Shape From Shading by Using Neural Based Colour Reflectance Model,

99) * T. W. S. Chow*, Sitao Wu, Piecewise Linear Projection Based on Self-Organizing Map,

100) * T. W. S. Chow*, S. Y. Cho, Industrial Neural vision system for underground railway station platform surveillance,

101) C. T. Leung, * T. W. S. Chow*, Least Third Order Cumulant Method With Adaptive Parameter Regularization Parameter Selection,

102) S. Y. Cho, * T. W. S. Chow*, Enhanced 3D Shape Recovery using neural based hybrid reflectance model,

104) S. Y. Cho, * T. W. S. Chow*, Neural computation approach for developing a 3-D shape reconstruction model,

105) * T.W.S. Chow*, Xiao-Dong Li, K. T. Ng, Double Regularization approach for blind restoration of multi-channel imagery,

106) S. Y. Cho, * T. W. S. Chow*, and Y Fang, Training recurrent neural networks using optimization layer-by-layer recursive least squares algorithm for vibration signals system identification and fault diagnostic analysis,

107) J. Y. F. Yam, * T. W. S. Chow*, Feedforward networks training speed enhancement by optimal initialisation of the synaptic coefficients,

108) * T. W. S. Chow,* Y. Fang,

109) S. Y. Cho and * T. W.S. Chow*, A neural learning based reflectance model for 3-D shape reonstruction,

110) S. Y. Cho and * T. W.S. Chow*, Learning Parametric Specular Reflectance Model by Radial Basis Function Network,

111) * T. W. S. Chow*, H. Z. Tan, HOS-based nonparametric and parametric methodologies for machine fault detection,

113) * T. W. S. Chow*, Y. Fang, Two-dimensional learning strategy for multilayer feedforward neural network,

114) * T. W. S. Chow*, J. Feng, K. T. Ng, An adaptive demodulator for the chaotic modulation communication system with RBF neural network,

115) H. Z. Tan, * T. W. S. Chow*, Blind identification of quadratic nonlinear models using neural networks with higher-order cumulants,

116) * T. W. S. Chow*, Xiao-Dong Li, Modeling of continuous time dynamical systems with input by recurrent neural networks,

117) Y. Fang, * T. W. S. Chow, *Orthogonal Wavelet neural networks applying to identification of Wiener model,

118) * T. W. S. Chow*, Xiao-Dong Li, Y. Fang, A real-time learning control approach for nonlinear continous-time system using recurrent neural networks,

119) Y. Fang, * T. W. S. Chow*, Synthesis of the sliding mode neural network controller for unknown nonlinear discrete-time systems,

121) S. Y. Cho, * T.W. S. Chow, *Shape and Surface measurement technology by an improved shape from shading neural algorithm,

123) H. Z. Tan, * T. W. S. Chow,* Blind and Total Identification of ARMA Models in Higher-order Cumulants Domain,

124) S. Y. Cho, * T.W. S. Chow, *Shape from shading by a new neural based reflectance model,

125) J. Y. F. Yam, * T. W. S. Chow*, A weight initialization method for improving training speed in feed forward neural network,

126) S. Y. Cho, * T.W. S. Chow*, A Fast neural learning vision system for crowd estimation at underground stations platform,

127) S. Y. Cho, * T.W. S. Chow*, C. T. Leung, A Neural based crowd estimation by hybrid global learning algorithm,

129) H. Z. Tan, Y. Fang, and * T. W. S. Chow*, Wiener models identification based on the higher-order cumulants and orthogonal wavelet neural networks,

130) Y. Fang, * T. W. S. Chow*, Blind Equalization of a noisy channel by linear network,

131) Y. Fang, * T. W. S. Chow*, K. T. Ng, Linear neural network based blind equalization,

132) H. Z. Tan, * T. W. S. Chow*, Recursive scheme for ARMA parameter and order estimation with noisy input-output data,

133) C. T. Leung, * T. W. S. Chow*, Adaptive regularization parameter selection method for enhancing generalization capability of neural networks,

134) S. Y. Cho, * T. W. S. Chow*, A Fast heuristic global learning algorithm for multilayer neural networks,

135) S. Y. Cho, * T. W. S. Chow*, Training multilayer neural networks using fast global learning algorithm C Least squares and penalized optimization methods,

136) Y. Fang, * T. W. S. Chow*, X. Li, Use of recurrent neural network in discrete sliding mode control,

137) H. Z. Tan, Z. Y. Mao, * T. W. S. Chow,* Consistent order-recursive identification of ARMA(MA) systems with noisy output cumulants,

138) Y. Fang, * T.W.S. Chow*, Iterative learning control of linear discrete-time multivarable systems,

139) * T.W.S.Chow,* H. Z. Tan, Semi-Blind batch identification of ARMA models via order recursion with higher-order-cumulants alone,

140) H.Z. Tan, Z.Y. Mao, * T. W. S. Chow*, Blind Identifiability of Truncated Quadratic Nonlinear Models Using Spectra Analyses,

141) * T. W. S. Chow*, Yong Fang, An iterative learning control method for continuous-time based on 2-D system theory,

142) H. Z. Tan, * T. W.S.Chow, K.T. Ng,* A constrained neural networks based approach for blind identification of quadratic systems

143) * T.W.S.Chow*, Yong Fang, A recurrent Neural Network Based Real-Time Learning Control Strategy Applying to Nonlinear Systems with Unknown Dynamics,

144) S.Y.Cho, * T. W.S.Chow,* A layer-by-layer least squares based recurrent networks training algorithm: Stalling and escape,

145) * T.W.S.Chow*, S.Y.Cho, A novel neural based rainfall nowcasting system in Hong Kong,

146) * T. W.S.Chow*, S.Y.Cho, An accelerated recurrent neural network training algorithm using IIR filter model and recursive least squares method,

147) * T.W.S.Chow*, Gou Fei, S. Y. Cho, Higher-order based least squares for nonminimum phase systems identification,

148) * T.W.S.Chow*, Gou Fei, H.Z Tan, Third-order cumulant RLS Algorithm for ARMA systems identification,

149) S.Y.Cho, * T. W.S.Chow, *An efficient and stable recurrent neural networks training algorithm for time series forecasting,

150) C. T. Leung, * T.W.S. Chow*, A novel noise robust fourth-order cumulants cost function,

151) J.Y.F.Yam, * T.W.S.Chow*, C.T.Leung, A new method in determining initial weights of feedforward neural networks for training enhancement,

152) * T.W.S. Chow*, Jin-Yan Li, Higher-order Petri net models based on artificial neural networks,

153) J.Y.F.Yam, * T.W.S.Chow*, Extended least squares based algorithm for training feedforward networks,

154) * T.W.S.Chow*, Oulian Shuai, Feedforward neural networks based input-output models for railway system identification,

155) * T.W.S. Chow*, S.Y.Cho, Development of a Recurrent Sigma-Pi Neural Network Rainfall Forecasting system in Hong Kong,

156) Jin-Yan Li, * T.W.S. Chow*, Some comments on the paper Stochastic choice of basis functions in adaptive function approximation and the functional-link net,

157) J** **Y Li, * T. W. S. Chow*, Functional approximation of higher-order neural networks

158) * T. W. S. Chow*, C. T Leung, Neural Network based short-term load forecasting using weather compensation,

159) * T. W. S. Chow*, C. T Leung, A non-linear autoregressive intergrated neural network model for short-term load forecasting,

160) * T.W.S. Chow,* C.T.Leung, Performance enhancement using nonlinear preprocessing,

161) * T.W. S. Chow*, C. T. Leung, Nonlinear dilation network for prediction applications,

162) C.T.Leung, * T. W. S. Chow*, A least third-cumulants objective function,

164) * T.W.S. Chow*, Gou Fei, Three phase induction machines asymmetrical fault identification identification using bispectrum,

165) Y.F. Yam, * T.W. S. Chow*, Accelerated training algorithm for feedforward neural. networks based on least squares method,

166) Gou Fei, Yu Yinglin, * T. W. S. Chow, *The dynamic self-feedback neural network for time series identification,

167) Y.F. Yam, * T.W.S. Chow*, Determining initial weights of feedforward neural networks based on least square methods,

169) * T.W.S. Chow*, Y.F. Yam, Measurement and evaluation of instantaneous reactive power using neural networks,

170) Y.F. Yam, * T.W.S. Chow*, Extended backpropagation algorithm,

171) * T.W.S. Chow*, H.W. Bishop, The Effect of High Current Density And Uneven Current Distribution On A Current Collection Systems,

172) * T.W.S. Chow*, H.W. Bishop, The Effect of contact temperature on high current density current collection system,