Zhihua Cai

According to our database1, Zhihua Cai authored at least 146 papers between 2005 and 2019.

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Bibliography

2019
Multi-View Fusion with Extreme Learning Machine for Clustering.
ACM TIST, 2019

Deep Multigrained Cascade Forest for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2019

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine.
Remote Sensing, 2019

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification.
Remote Sensing, 2019

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.
Remote Sensing, 2019

An unsupervised parameter learning model for RVFL neural network.
Neural Networks, 2019

Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation.
IEEE Geosci. Remote Sensing Lett., 2019

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction.
IEEE Geosci. Remote Sensing Lett., 2019

BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image.
CoRR, 2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.
IEEE Access, 2019

SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images.
IEEE Access, 2019

Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery.
IEEE Trans. Geoscience and Remote Sensing, 2018

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter.
Sensors, 2018

Hierarchical ensemble of Extreme Learning Machine.
Pattern Recognition Letters, 2018

A multiobjective optimization-based sparse extreme learning machine algorithm.
Neurocomputing, 2018

Ensemble Transfer Learning Algorithm.
IEEE Access, 2018

Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Shared Deep Kernel Learning for Dimensionality Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Functional Locality Preserving Projection for Dimensionality Reduction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization.
IEEE Trans. Evolutionary Computation, 2017

A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems.
IEEE Trans. Evolutionary Computation, 2017

Instance cloned extreme learning machine.
Pattern Recognition, 2017

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.
IEEE Geosci. Remote Sensing Lett., 2017

A weighted-resampling based transfer learning algorithm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Pre-trained Extreme Learning Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images.
Signal Processing, 2016

Memetic Extreme Learning Machine.
Pattern Recognition, 2016

Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst., 2016

Bagging based ensemble transfer learning.
J. Ambient Intelligence and Humanized Computing, 2016

Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation.
Inf. Sci., 2016

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hyperspectral image classification using set-to-set distance.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Multiple-Instance Learning with Evolutionary Instance Selection.
Proceedings of the Database Systems for Advanced Applications, 2016

Classification guided differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization.
IEEE Trans. Evolutionary Computation, 2015

Differential Evolution With Auto-Enhanced Population Diversity.
IEEE Trans. Cybernetics, 2015

Boosting for Multi-Graph Classification.
IEEE Trans. Cybernetics, 2015

Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization.
IEEE Trans. Cybernetics, 2015

A MultiBoosting Based Transfer Learning Algorithm.
JACIII, 2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?
Int. J. Comput. Intell. Syst., 2015

Ensemble of different improvements in differential evolution for parameter extraction of PEMFC model.
IJCAT, 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

A memetic algorithm based extreme learning machine for classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-Graph-View Learning for Complicated Object Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Modelling Class Noise with Symmetric and Asymmetric Distributions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Cryptanalysis and improvement of password-authenticated key agreement for session initiation protocol using smart cards.
Security and Communication Networks, 2014

Bayesian Citation-KNN with distance weighting.
Int. J. Machine Learning & Cybernetics, 2014

An Improved Character Segmentation Algorithm Based on Local Adaptive Thresholding Technique for Chinese NvShu Documents.
JNW, 2014

A naive Bayes probability estimation model based on self-adaptive differential evolution.
J. Intell. Inf. Syst., 2014

A Novel Distance Function: frequency difference Metric.
IJPRAI, 2014

Learning attribute weighted AODE for ROC area ranking.
IJICT, 2014

Efficient and flexible password authenticated key agreement for Voice over Internet Protocol Session Initiation Protocol using smart card.
Int. J. Communication Systems, 2014

Robust and efficient password authenticated key agreement with user anonymity for session initiation protocol-based communications.
IET Communications, 2014

ESPSA: A prediction-based algorithm for streaming time series segmentation.
Expert Syst. Appl., 2014

Parameter optimization of PEMFC model with improved multi-strategy adaptive differential evolution.
Eng. Appl. of AI, 2014

Repairing the crossover rate in adaptive differential evolution.
Appl. Soft Comput., 2014

Multi-Graph Learning with Positive and Unlabeled Bags.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Gaussian Processes Autoencoder for Dimensionality Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Dual instance and attribute weighting for Naive Bayes classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An Adaptive Strategy to Adjust the Components of Memetic Algorithms.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Multi-graph-view Learning for Graph Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A dimensional-level adaptive differential evolutionary algorithm for continuous optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

The parameter optimization of kalman filter based on multi-objective memetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

An improved JADE algorithm for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Dimensionally Reduction: An Experimental Study.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
Differential Evolution With Ranking-Based Mutation Operators.
IEEE Trans. Cybernetics, 2013

Weighted Clone Selection Algorithm based on Rough Set Theory.
JSW, 2013

Naive Bayes text classifiers: a locally weighted learning approach.
J. Exp. Theor. Artif. Intell., 2013

Boosting for superparent-one-dependence estimators.
IJCSM, 2013

Active AODE learning based on a novel sampling strategy and its application.
IJCAT, 2013

Artificial immune system for attribute weighted Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-adaptive probability estimation for Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Multi-instance Multi-graph Dual Embedding Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

An improved adaptive differential evolution algorithm with population adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Improving Tree augmented Naive Bayes for class probability estimation.
Knowl.-Based Syst., 2012

Weighted average of one-dependence estimators†.
J. Exp. Theor. Artif. Intell., 2012

Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.
JCP, 2012

Adaptive Parameter Selection for Strategy Adaptation in Differential Evolution for Continuous Optimization.
JCP, 2012

Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification.
IJCAT, 2012

Discriminatively Weighted Naive Bayes and its Application in Text Classification.
International Journal on Artificial Intelligence Tools, 2012

Not so greedy: Randomly Selected Naive Bayes.
Expert Syst. Appl., 2012

A Tri-training Based Transfer Learning Algorithm.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

An empirical study on differential evolution for optimal power allocation in WSNs.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2011
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Adaptive strategy selection in differential evolution for numerical optimization: An empirical study.
Inf. Sci., 2011

A Generalized Hybrid Generation Scheme of Differential Evolution for Global Numerical Optimization.
International Journal of Computational Intelligence and Applications, 2011

A clustering-based differential evolution for global optimization.
Appl. Soft Comput., 2011

Multiobjective optimization by decomposition with Pareto-adaptive weight vectors.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Differential evolution with improved population reduction.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Adaptive parameter selection for strategy adaptation in differential evolution.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A novel hybrid biogeography-based optimization with differential mutation.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2010
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization.
Soft Comput., 2010

A real-coded biogeography-based optimization with mutation.
Applied Mathematics and Computation, 2010

A Novel Differential Evolution-Clustering Hybrid Resampling Algorithm on Imbalanced Datasets.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

A New DEBP Algorithm and Its Application for Hematite Content Prediction.
Proceedings of the Computational Intelligence and Intelligent Systems, 2010

Self-adapting Differential Evolution Algorithm with Chaos Random for Global Numerical Optimization.
Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010

Differential Evolution Based Band Selection in Hyperspectral Data Classification.
Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010

Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonal and Uniform Design.
Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010

Feature Synthesis Algorithm Combined with k-NN Classifier for Spectral Data Classification.
Proceedings of the Computational Intelligence and Intelligent Systems, 2010

Adaptive strategy selection in differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
A Novel Bayes Model: Hidden Naive Bayes.
IEEE Trans. Knowl. Data Eng., 2009

Learning decision tree for ranking.
Knowl. Inf. Syst., 2009

Decision Tree with Better Class Probability Estimation.
IJPRAI, 2009

An improved multiobjective differential evolution based on Pareto-adaptive epsilon-dominance and orthogonal design.
European Journal of Operational Research, 2009

A New Differential Evolution for Multiobjective Optimization by Uniform Design and Minimum Reduce Hypervolume.
Proceedings of the Natural Computing - 4th International Workshop on Natural Computing, 2009

Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

Hybrid differential evolution based on fuzzy C-means clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008
Using Instance cloning to Improve Naive Bayes for Ranking.
IJPRAI, 2008

Enhancing the performance of differential evolution using orthogonal design method.
Applied Mathematics and Computation, 2008

An Improved Gene Expression Programming for Fuzzy Classification.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2008

A multiobjective differential evolution algorithm for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Using Support Vector Regression for Classification.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
A Sorting Based Algorithm for Finding a Non-dominated Set in Multi-objective Optimization.
Proceedings of the Third International Conference on Natural Computation, 2007

Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

K-Distributions: A New Algorithm for Clustering Categorical Data.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Survey of Improving K-Nearest-Neighbor for Classification.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Learning Locally Weighted C4.4 for Class Probability Estimation.
Proceedings of the Discovery Science, 10th International Conference, 2007

Cost-Sensitive Decision Trees with Pre-pruning.
Proceedings of the Advances in Artificial Intelligence, 2007

Survey of Improving Naive Bayes for Classification.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006
A Novel One-dependence Estimator Based on Multi-parents.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Augmented Naive Bayes Based on Evolutional Strategy.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic.
Proceedings of the Intelligent Information Processing III, 2006

Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

A Novel Differential Evolution Algorithm Based on epsilon -Domination and Orthogonal Design Method for Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
Learning Tree Augmented Naive Bayes for Ranking.
Proceedings of the Database Systems for Advanced Applications, 2005

One Dependence Augmented Naive Bayes.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005


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