Wai Keung Wong

According to our database1, Wai Keung Wong authored at least 93 papers between 2000 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 



On csauthors.net:


Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification.
IEEE Trans. Neural Netw. Learning Syst., 2019

Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding.
IEEE Trans. Image Processing, 2019

Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation.
IEEE Trans. Cybernetics, 2019

Horizontal and Vertical Nuclear Norm-Based 2DLDA for Image Representation.
IEEE Trans. Circuits Syst. Video Techn., 2019

Generalized Robust Regression for Jointly Sparse Subspace Learning.
IEEE Trans. Circuits Syst. Video Techn., 2019

Binary sparse signal recovery algorithms based on logic observation.
Pattern Recognition, 2019

Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction.
Int. J. Approx. Reasoning, 2019

Bilinear Supervised Hashing Based on 2D Image Features.
CoRR, 2019

Regularized Label Relaxation Linear Regression.
IEEE Trans. Neural Netw. Learning Syst., 2018

Robust Latent Subspace Learning for Image Classification.
IEEE Trans. Neural Netw. Learning Syst., 2018

Approximate Low-Rank Projection Learning for Feature Extraction.
IEEE Trans. Neural Netw. Learning Syst., 2018

Low-Rank Linear Embedding for Image Recognition.
IEEE Trans. Multimedia, 2018

Jointly Sparse Hashing for Image Retrieval.
IEEE Trans. Image Processing, 2018

Robust Discriminant Regression for Feature Extraction.
IEEE Trans. Cybernetics, 2018

Learning Parts-Based and Global Representation for Image Classification.
IEEE Trans. Circuits Syst. Video Techn., 2018

New semi-supervised classification using a multi-modal feature joint L21-norm based sparse representation.
Sig. Proc.: Image Comm., 2018

On uniqueness of sparse signal recovery.
Signal Processing, 2018

Supervised discrete discriminant hashing for image retrieval.
Pattern Recognition, 2018

Low-rank and sparse embedding for dimensionality reduction.
Neural Networks, 2018

Kernelized random KISS metric learning for person re-identification.
Neurocomputing, 2018

An integrated optimisation algorithm for feature extraction, dictionary learning and classification.
Neurocomputing, 2018

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations.
IEEE Access, 2018

Nuclear Norm-Based 2DLPP for Image Classification.
IEEE Trans. Multimedia, 2017

Low-Rank Embedding for Robust Image Feature Extraction.
IEEE Trans. Image Processing, 2017

Directional Gaussian Model for Automatic Speeding Event Detection.
IEEE Trans. Information Forensics and Security, 2017

Multiple metric learning based on bar-shape descriptor for person re-identification.
Pattern Recognition, 2017

Fabric Defect Detection for Apparel Industry: A Nonlocal Sparse Representation Approach.
IEEE Access, 2017

Approximate Orthogonal Sparse Embedding for Dimensionality Reduction.
IEEE Trans. Neural Netw. Learning Syst., 2016

Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation.
IEEE Trans. Cybernetics, 2016

Differential evolution-based optimal Gabor filter model for fabric inspection.
Neurocomputing, 2016

Stochastic Stability of Delayed Neural Networks With Local Impulsive Effects.
IEEE Trans. Neural Netw. Learning Syst., 2015

Learning a Nonnegative Sparse Graph for Linear Regression.
IEEE Trans. Image Processing, 2015

Joint Tensor Feature Analysis For Visual Object Recognition.
IEEE Trans. Cybernetics, 2015

H Filtering for Discrete-Time Switched Systems With Known Sojourn Probabilities.
IEEE Trans. Automat. Contr., 2015

Sparse nonlocal priors based two-phase approach for mixed noise removal.
Signal Processing, 2015

Sparse Alignment for Robust Tensor Learning.
IEEE Trans. Neural Netw. Learning Syst., 2014

A simulation analysis of the impact of production lot size and its interaction with operator competence on manufacturing system performance.
Simulation Modelling Practice and Theory, 2014

Regularized discriminant entropy analysis.
Pattern Recognition, 2014

3D soft-tissue tracking using spatial-color joint probability distribution and thin-plate spline model.
Pattern Recognition, 2014

Sequence Memory Based on Coherent Spin-Interaction Neural Networks.
Neural Computation, 2014

A seasonal discrete grey forecasting model for fashion retailing.
Knowl.-Based Syst., 2014

Event-triggered control for multi-agent systems with randomly occurring nonlinear dynamics and time-varying delay.
J. Franklin Institute, 2014

Robust H control for switched systems with input delays: A sojourn-probability-dependent method.
Inf. Sci., 2014

Optimal Feature Selection for Robust Classification via l2, 1-Norms Regularization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control.
IEEE Trans. Neural Netw. Learning Syst., 2013

Stochastic Synchronization of Complex Networks With Mixed Impulses.
IEEE Trans. on Circuits and Systems, 2013

Key role of voltage-dependent properties of synaptic currents in robust network synchronization.
Neural Networks, 2013

Intelligent production planning for complex garment manufacturing.
J. Intelligent Manufacturing, 2013

Eyeglasses removal of thermal image based on visible information.
Information Fusion, 2013

A multivariate intelligent decision-making model for retail sales forecasting.
Decision Support Systems, 2013

Modeling and Pareto optimization of multi-objective order scheduling problems in production planning.
Computers & Industrial Engineering, 2013

A hybrid intelligent model for order allocation planning in make-to-order manufacturing.
Appl. Soft Comput., 2013

Sparse Approximation to the Eigensubspace for Discrimination.
IEEE Trans. Neural Netw. Learning Syst., 2012

A mixed Sharpe ratio.
Risk and Decision Analysis, 2012

Supervised optimal locality preserving projection.
Pattern Recognition, 2012

Discover latent discriminant information for dimensionality reduction: Non-negative Sparseness Preserving Embedding.
Pattern Recognition, 2012

Global Synchronization Stability for Stochastic Complex Dynamical Networks with Probabilistic Interval Time-Varying Delays.
J. Optimization Theory and Applications, 2012

Sparsely connected neural network-based time series forecasting.
Inf. Sci., 2012

Relationship between Applicability of Current-Based Synapses and Uniformity of Firing Patterns.
Int. J. Neural Syst., 2012

Feedback controlled particle swarm optimization and its application in time-series prediction.
Expert Syst. Appl., 2012

A hybrid particle swarm optimization and its application in neural networks.
Expert Syst. Appl., 2012

An operator allocation optimization model for balancing control of the hybrid assembly lines using Pareto utility discrete differential evolution algorithm.
Computers & OR, 2012

Intelligent multivariate sales forecasting using wrapper approach and neural networks.
Proceedings of the IEEE 10th International Conference on Industrial Informatics, 2012

Deep Learning Regularized Fisher Mappings.
IEEE Trans. Neural Networks, 2011

Fuzzy logic control of a novel robotic hanger for garment inspection: Modeling, simulation and experimental implementation.
Expert Syst. Appl., 2011

A heuristic time-invariant model for fuzzy time series forecasting.
Expert Syst. Appl., 2011

A PDDE-Based Order Scheduling Optimization with Raw Material Uncertainty.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

Adaptive Time-Variant Models for Fuzzy-Time-Series Forecasting.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Impulsive pinning synchronization of stochastic discrete-time networks.
Neurocomputing, 2010

Adaptive neural network model for time-series forecasting.
European Journal of Operational Research, 2010

Sparse Local Discriminant Projections for Feature Extraction.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Tangent space discriminant analysis for feature extraction.
Proceedings of the International Conference on Image Processing, 2010

A hybrid model using genetic algorithm and neural network for classifying garment defects.
Expert Syst. Appl., 2009

A fashion mix-and-match expert system for fashion retailers using fuzzy screening approach.
Expert Syst. Appl., 2009

A decision support tool for apparel coordination through integrating the knowledge-based attribute evaluation expert system and the T-S fuzzy neural network.
Expert Syst. Appl., 2009

Stitching defect detection and classification using wavelet transform and BP neural network.
Expert Syst. Appl., 2009

Solving the two-dimensional irregular objects allocation problems by using a two-stage packing approach.
Expert Syst. Appl., 2009

Intelligent production control decision support system for flexible assembly lines.
Expert Syst. Appl., 2009

A Suboptimal Modified Code Tracking Loop for Synchronous DS-CDMA Systems.
Proceedings of the 69th IEEE Vehicular Technology Conference, 2009

Optimization of the Weighting Exponent in the Fuzzy c-means Clustering.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Modified Decorrelated Delay Lock Loop for Synchronous DS-CDMA Systems.
IEEE Trans. Vehicular Technology, 2008

A Genetic-Algorithm-Based Optimization Model for Solving the Flexible Assembly Line Balancing Problem With Work Sharing and Workstation Revisiting.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2008

Genetic optimization of order scheduling with multiple uncertainties.
Expert Syst. Appl., 2008

Multiple-objective genetic optimization of the spatial design for packing and distribution carton boxes.
Computers & Industrial Engineering, 2008

Developing an Apparel Supply Chain Simulation System with the Application of Fuzzy Logic.
Proceedings of the Computational Textile, 2007

Optimisation of fault-tolerant fabric-cutting schedules using genetic algorithms and fuzzy set theory.
European Journal of Operational Research, 2007

A Modified De-Correlated Delay Lock Loop with Better Static Response for Synchronous DS-CDMA Systems.
Proceedings of the 65th IEEE Vehicular Technology Conference, 2007

Genetic Optimization of JIT Operation Schedules for Fabric-cutting Process in Apparel Manufacture.
J. Intelligent Manufacturing, 2006

A recursive operator allocation approach for assembly line-balancing optimization problem with the consideration of operator efficiency.
Computers & Industrial Engineering, 2006

Mathematical model and genetic optimization for the job shop scheduling problem in a mixed- and multi-product assembly environment: A case study based on the apparel industry.
Computers & Industrial Engineering, 2006

An Adjusted Recursive Operator Allocation Optimization Algorithm for Line Balancing Control.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2006, 2006

A Bi-level Genetic Algorithm for Multi-objective Scheduling of Multi- and Mixed-Model Apparel Assembly Lines.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

FPGA Implementation of a Microcoded Elliptic Curve Cryptographic Processor.
Proceedings of the 8th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2000), 2000