Zhihua Cai

Xiaobo Liu, Zhihua Cai, Guangjun Wang, 2019, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation

Zhiqiang Du, Zhihua Cai, Leichen Chen, 2009, ISICA.

A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization

Aimin Zhou, Wenyin Gong, Zhihua Cai, 2015, IEEE Transactions on Evolutionary Computation.

Finding Compact Classification Rules With Parsimonious Gene Expression Programming

Weihong Wang, Zhihua Cai, Qu Li, 2005, 2005 International Conference on Neural Networks and Brain.

A Novel Differential Evolution-Clustering Hybrid Resampling Algorithm on Imbalanced Datasets

Lu Chen, Zhihua Cai, Qiong Gu, 2010, 2010 Third International Conference on Knowledge Discovery and Data Mining.

An Improved Character Segmentation Algorithm Based on Local Adaptive Thresholding Technique for Chinese NvShu Documents

Zhihua Cai, Yangguang Sun, 2014, J. Networks.

Graph Convolutional Extreme Learning Machine

Xiaobo Liu, Zhihua Cai, Yaoming Cai, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system

Wenyin Gong, Zhihua Cai, Qin Liu, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Adaptive parameter selection for strategy adaptation in differential evolution

Wenyin Gong, Zhihua Cai, 2011, GECCO '11.

K-Distributions: A New Algorithm for Clustering Categorical Data

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2009, ICIC.

Multi-graph-view subgraph mining for graph classification

Chengqi Zhang, Zhibin Hong, Jia Wu, 2016, Knowledge and Information Systems.

A dimensional-level adaptive differential evolutionary algorithm for continuous optimization

Ming Yang, Changhe Li, Jing Guan, 2014, GECCO.

Adaptive strategy selection in differential evolution

Álvaro Fialho, Wenyin Gong, Zhihua Cai, 2010, GECCO '10.

A New DEBP Algorithm and Its Application for Hematite Content Prediction

Chao Yu, Zhihua Cai, Zhechao Gao, 2010, ISICA.

Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering

Xiang Li, Xiaobo Liu, Zhihua Cai, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization

Wenyin Gong, Charles X. Ling, Zhihua Cai, 2010, Soft Comput..

A Novel Bayes Model: Hidden Naive Bayes

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2009, IEEE Transactions on Knowledge and Data Engineering.

Differential Evolution With Auto-Enhanced Population Diversity

Ming Yang, Changhe Li, Jing Guan, 2015, IEEE Transactions on Cybernetics.

A multiobjective optimization-based sparse extreme learning machine algorithm

Yu Wu, Xiaobo Liu, Zhihua Cai, 2018, Neurocomputing.

Learning Locally Weighted C4.4 for Class Probability Estimation

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2007, Discovery Science.

Differential evolution with improved population reduction

Ming Yang, Wenyin Gong, Jing Guan, 2011, GECCO '11.

Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification

Zhihua Cai, Shuang Ao, Jia Wu, 2012, Int. J. Comput. Appl. Technol..

Functional Locality Preserving Projection for Dimensionality Reduction

Junbin Gao, Xia Hong, Xin Song, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images

Ruimin Hu, Junjun Jiang, Zhongyuan Wang, 2016, Signal Process..

Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, Wuhan, China, December 19-21, 2008 Proceedings

Xuesong Yan, Zhihua Cai, Kang Li-shan, 2008, ISICA.

Research on Two -Way Matching of Cloud Manufacturing Partners for Enterprise Requirements

Wei Chen, Zhihua Cai, Yujia Sun, 2019 .

Bagging based ensemble transfer learning

Xiaobo Liu, Zhihua Cai, Harry Zhang, 2015, Journal of Ambient Intelligence and Humanized Computing.

A MultiBoosting Based Transfer Learning Algorithm

Xiaobo Liu, Zhihua Cai, Harry Zhang, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Attribute weighting: How and when does it work for Bayesian Network Classification

Chengqi Zhang, Jia Wu, Zhihua Cai, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Self-adaptive Differential Evolution Extreme Learning Machine and Its Application in Water Quality Evaluation

Wenyin Gong, Zhihua Cai, Xinxin Wang, 2015 .

Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems

Yong Wang, Wenyin Gong, Zhihua Cai, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Learning Tree Augmented Naive Bayes for Ranking

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2005, DASFAA.

An empirical study on differential evolution for optimal power allocation in WSNs

Wenyin Gong, Zhihua Cai, 2012, 2012 8th International Conference on Natural Computation.

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter

Junjun Jiang, Zhihua Cai, Xinwei Jiang, 2018, Sensors.

Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images

Xiaobo Liu, Zhihua Cai, Min Wang, 2020, IEEE Geoscience and Remote Sensing Letters.

Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm

Xuesong Yan, Zhihua Cai, Qinghua Wu, 2008, ICIC.

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning

Chengqi Zhang, Zhibin Hong, Jia Wu, 2014, CIKM.

Computational Intelligence and Intelligent Systems

Yong Liu, Zhihua Cai, Zhenhua Li, 2011 .

Multi-Instance Learning from Positive and Unlabeled Bags

Chengqi Zhang, Jia Wu, Zhihua Cai, 2014, PAKDD.

Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings

Xuesong Yan, Zhihua Cai, Qinghua Wu, 2008, ICIC.

Erratum to: Evaluation Measures of the Classification Performance of Imbalanced Data Sets

Zhihua Cai, Li Zhu, Qiong Gu, 2009 .

Naive Bayes text classifiers: a locally weighted learning approach

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2013, J. Exp. Theor. Artif. Intell..

Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation

Xiaobo Liu, Zhihua Cai, Bi Wu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

ESPSA: A prediction-based algorithm for streaming time series segmentation

Zongda Wu, Zhihua Cai, Xiaojun Kang, 2014, Expert Syst. Appl..

An Improved Self-adaptive Differential Evolutionary Algorithm with Population Reduction

Ming Yang, Changhe Li, Zhihua Cai, 2012 .

A novel hybrid biogeography-based optimization with differential mutation

Yang Wang, Zhihua Cai, 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

Multi-Graph-View Learning for Complicated Object Classification

Chengqi Zhang, Jia Wu, Zhihua Cai, 2015, IJCAI.

Data Mining on Imbalanced Data Sets

Li Zhu, Zhihua Cai, Bo Huang, 2008, 2008 International Conference on Advanced Computer Theory and Engineering.

LEARNING LOCALLY WEIGHTED BAYSIAN NETWORK FOR AUC RANKING

Qiong Wu, Lei Yuan, Zhihua Cai, 2014 .

Proceedings of the 2nd international conference on Advances in computation and intelligence

Yong Liu, Chengyu Hu, Zhihua Cai, 2007 .

Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization

Xiaodong Li, Ming Yang, Xin Yao, 2017, IEEE Transactions on Evolutionary Computation.

Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization

Wenyin Gong, Zhihua Cai, Dingwen Liang, 2015, IEEE Transactions on Cybernetics.

Ensemble Inductive Transfer Learning

Xiaobo Liu, Zhihua Cai, Harry Zhang, 2015 .

Cryptanalysis and improvement of password-authenticated key agreement for session initiation protocol using smart cards

Zhihua Cai, Shanyu Tang, Liping Zhang, 2014, Secur. Commun. Networks.

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction

Dongmei Zhang, Junbin Gao, Xin Song, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Artificial immune system for attribute weighted Naive Bayes classification

Jia Wu, Sanyou Zeng, Zhihua Cai, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation

Yonghua Xiong, Xiaobo Liu, Zhihua Cai, 2020, Science China Information Sciences.

Cooperative Spectral–Spatial Attention Dense Network for Hyperspectral Image Classification

Zhihua Cai, Yaoming Cai, Mingchen Zhuge, 2021, IEEE Geoscience and Remote Sensing Letters.

DIGITAL IMAGE PROCESSING: SUPERVISED CLASSIFICATION USING GENETIC ALGORITHM IN MATLAB TOOLBOX

Zhihua Cai, Liu Xiaobo, Joaquim Jose Furtado, 2010 .

Sparse Support Regression for Image Super-Resolution

Xiang Ma, Ruimin Hu, Junjun Jiang, 2015, IEEE Photonics Journal.

Adaptive strategy selection in differential evolution for numerical optimization: An empirical study

Hui Li, Álvaro Fialho, Wenyin Gong, 2011, Inf. Sci..

A Sorting Based Algorithm for Finding a Non-dominated Set in Multi-objective Optimization

Jun Du, Zhihua Cai, Yunliang Chen, 2007, Third International Conference on Natural Computation (ICNC 2007).

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine

Zhihua Cai, Xinwei Jiang, Yongshan Zhang, 2019, Remote. Sens..

Dimensionally Reduction: An Experimental Study

Wei Xu, Xin Song, Zhihua Cai, 2014, ADMA.

An improved adaptive differential evolution algorithm with population adaptation

Ming Yang, Changhe Li, Jing Guan, 2013, GECCO '13.

Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed

Álvaro Fialho, Wenyin Gong, Zhihua Cai, 2010, GECCO '10.

Robust and efficient password authenticated key agreement with user anonymity for session initiation protocol-based communications

Zhihua Cai, Liping Zhang, Shanyu Tang, 2014, IET Commun..

Using Instance cloning to Improve Naive Bayes for Ranking

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2008, Int. J. Pattern Recognit. Artif. Intell..

Improving Tree augmented Naive Bayes for class probability estimation

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2012, Knowl. Based Syst..

Erratum to: A Brain Network Inspired Algorithm: Pre-trained Extreme Learning Machine

Jia Wu, Zhihua Cai, Yongshan Zhang, 2017, ICONIP 2017.

Gene expression programming in prediction

Li Zhu, Zhihua Cai, Qu Li, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation

Xiaobo Liu, Zhihua Cai, Peng Hu, 2019, IEEE Geoscience and Remote Sensing Letters.

A memetic algorithm based extreme learning machine for classification

Xiaobo Liu, Jia Wu, Zhihua Cai, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

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

Bo Du, Junjun Jiang, Jia Wu, 2019, IEEE Access.

Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute

Zhihua Cai, Siwei Jiang, 2008, ISICA.

Dual instance and attribute weighting for Naive Bayes classification

Chengqi Zhang, Jia Wu, Zhihua Cai, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Not so greedy: Randomly Selected Naive Bayes

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2012, Expert Syst. Appl..

Differential Evolution With Ranking-Based Mutation Operators

Wenyin Gong, Zhihua Cai, Wenyin Gong, 2013, IEEE Transactions on Cybernetics.

Multi-resolution remote sensing image registration using differential evolution with adaptive strategy selection

Wenyin Gong, Zhihua Cai, Zhenbang Hu, 2012 .

A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression

Zhihua Cai, Jiewei Li, Z. Cai, 2008, ISICA.

Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution

Ling Wang, Wenyin Gong, Zhihua Cai, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Multi-View Fusion with Extreme Learning Machine for Clustering

Philip S. Yu, Chuan Zhou, Zhihua Cai, 2019, ACM Trans. Intell. Syst. Technol..

Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution

Yanan Li, Wenyin Gong, Zhihua Cai, 2017, ACALCI.

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery

Junbin Gao, Junjun Jiang, Xin Song, 2018, Remote. Sens..

A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution

Wenyin Gong, Charles X. Ling, Zhihua Cai, 2009, ISICA.

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine

Zhihua Cai, Xinwei Jiang, Xiaoping Fang, 2020, Sensors.

Improved KNN-SMOreg algorithm and its application in predicting the amount of hematite from uranium

Zhihua Cai, Jia Wu, Zhechao Gao, 2011 .

A clustering-based differential evolution for global optimization

Wenyin Gong, Charles X. Ling, Zhihua Cai, 2011, Appl. Soft Comput..

Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonal and Uniform Design

Zhihua Cai, Siwei Jiang, Z. Cai, 2010, ISICA.

A naive Bayes probability estimation model based on self-adaptive differential evolution

Jia Wu, Zhihua Cai, 2013, Journal of Intelligent Information Systems.

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder

Xiaobo Liu, Jia Wu, Zhihua Cai, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A multiobjective differential evolution algorithm for constrained optimization

Wenyin Gong, Zhihua Cai, Wenyin Gong, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image pdf

Xiaobo Liu, Zhihua Cai, Xinwei Jiang, 2020, ArXiv.

An Adaptive Strategy to Adjust the Components of Memetic Algorithms

Jin Xu, Wenyin Gong, Zhihua Cai, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming

Wenyin Gong, Zhihua Cai, Siwei Jiang, 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

Ensemble Transfer Learning Algorithm

Xiaobo Liu, Zhihua Cai, Harry Zhang, 2018, IEEE Access.

A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems

Wenyin Gong, Zhihua Cai, Zuowen Liao, 2019, BIC-TA.

Parameter extraction of solar cell models using repaired adaptive differential evolution

Wenyin Gong, Zhihua Cai, Wenyin Gong, 2013 .

A New Differential Evolution for Multiobjective Optimization by Uniform Design and Minimum Reduce Hypervolume

Zhihua Cai, Siwei Jiang, 2009, IWNC.

Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image

Xiaobo Liu, Zhihua Cai, Yaoming Cai, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Attribute Weighting via Differential Evolution Algorithm for Attribute Weighted Naive Bayes (WNB)

Zhihua Cai, Jia Wu, Z. Cai, 2011 .

Self-adaptive attribute weighting for Naive Bayes classification

Chengqi Zhang, Jia Wu, Zhihua Cai, 2015, Expert Syst. Appl..

Multiple-Instance Learning with Evolutionary Instance Selection

Chuan Zhou, Jia Wu, Zhihua Cai, 2016, DASFAA.

Self-adaptive probability estimation for Naive Bayes classification

Jia Wu, Zhihua Cai, Xingquan Zhu, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Application of Uranium Mineral Band Feature Sub-set Selection Based on Genetic Algorithm

Jia Wu, Zhihua Cai, Yiping Tong, 2013, 2013 5th International Conference on Computational Intelligence and Communication Networks.

Learning the attribute selection measures for decision tree

Xiaolin Chen, Jia Wu, Zhihua Cai, 2013, Other Conferences.

ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design

Wenyin Gong, Charles X. Ling, Zhihua Cai, 2006, Australian Conference on Artificial Intelligence.

Repairing the crossover rate in adaptive differential evolution

Yang Wang, Wenyin Gong, Zhihua Cai, 2014, Appl. Soft Comput..

Vehicle navigation algorithm based on unscented Kalman filter sensor information fusion: Vehicle navigation algorithm based on unscented Kalman filter sensor information fusion

Lei Yuan, Zhihua Cai, Qiong Gu, 2013 .

Learning decision tree for ranking

Liangxiao Jiang, Zhihua Cai, Chaoqun Li, 2009, Knowledge and Information Systems.

An unsupervised parameter learning model for RVFL neural network

Philip S. Yu, Bo Du, Zhihua Cai, 2019, Neural Networks.

Survey of Improving Naive Bayes for Classification

Xuesong Yan, Liangxiao Jiang, Zhihua Cai, 2007, ADMA.

Decision Tree with Better Class Probability Estimation

Liangxiao Jiang, Zhihua Cai, Chaoqun Li, 2009, Int. J. Pattern Recognit. Artif. Intell..

Pre-trained Extreme Learning Machine

Jia Wu, Zhihua Cai, Yongshan Zhang, 2017, ICONIP.

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification

Xiaobo Liu, Zhihua Cai, Yaoming Cai, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2006, FSKD.

An improved JADE algorithm for global optimization

Ming Yang, Changhe Li, Jing Guan, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Hybrid Differential Evolutionary Algorithms for Koblitz Elliptic Curves Generating

Zhihua Cai, Junhua Ku, Xiuying Yang, 2014 .

Self-adapting differential evolution and its application on remote sensing image supervised classification

Jia Wu, Zhihua Cai, Xiaowen Jin, 2013 .

SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images

Junjun Jiang, Zhihua Cai, Zhikun Chen, 2019, IEEE Access.

Extreme Learning Machine Based on Evolutionary Multi-objective Optimization

Yu Wu, Xiaobo Liu, Zhihua Cai, 2017, BIC-TA.

Feature Synthesis Algorithm Combined with k-NN Classifier for Spectral Data Classification

Zhihua Cai, Zhenbang Hu, Z. Cai, 2010, ISICA.

A Novel One-dependence Estimator Based on Multi-parents

Liangxiao Jiang, Zhihua Cai, Sifa Zhang, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

Engineering optimization by means of an improved constrained differential evolution

Wenyin Gong, Zhihua Cai, Dingwen Liang, 2014 .

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering

Xiaobo Liu, Zhihua Cai, Peng Hu, 2019, IEEE Geoscience and Remote Sensing Letters.

Boosting for Multi-Graph Classification

Zhihua Cai, Shirui Pan, Xingquan Zhu, 2015, IEEE Transactions on Cybernetics.

Classification of Remote Sensing Images based on Distributed Convolutional Neural Network Model

Xiang Li, Zhihua Cai, Guanyu Chen, 2019 .

A self-adaptive differential evolutionary algorithm based on population reduction with minimum distance

Ming Yang, Changhe Li, Zhihua Cai, 2014 .

A novel Evolutionary Algorithm and its application for the traveling salesman problem

Wei Gao, Wei Wei, Lishan Kang, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Hybrid differential evolution based on fuzzy C-means clustering

Jun Du, Wenyin Gong, Charles X. Ling, 2009, GECCO '09.

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation

Philip S. Yu, Zhihua Cai, Yongshan Zhang, 2020, IEEE Transactions on Multimedia.

Self-adaptive Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images

Zhihua Cai, Xiuying Yang, Junhua Ku, 2014 .

Weighted average of one-dependence estimators†

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2012, J. Exp. Theor. Artif. Intell..

Weighted Clone Selection Algorithm based on Rough Set Theory

Meng Li, Xiaolin Chen, Jia Wu, 2013, J. Softw..

A Novel Hybrid Biogeography-based

Zhihua Cai, Zhihua Cai, 2011 .

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

Lizhe Wang, Junjun Jiang, Zhongyuan Wang, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence

Xuesong Yan, Lishan Kang, Yong Liu, 2008 .

Active AODE learning based on a novel sampling strategy and its application

Xiaolin Chen, Jia Wu, Zhihua Cai, 2013, Int. J. Comput. Appl. Technol..

Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap

Zhihua Cai, Li Zhu, Qiong Gu, 2009, ISICA.

Enhancing the performance of differential evolution using orthogonal design method

Wenyin Gong, Liangxiao Jiang, Zhihua Cai, 2008, Appl. Math. Comput..

Hierarchical ensemble of Extreme Learning Machine

Xiaobo Liu, Zhihua Cai, Yongshan Zhang, 2018, Pattern Recognit. Lett..

A Tri-training Based Transfer Learning Algorithm

Xiaobo Liu, Zhihua Cai, Harry Zhang, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition

Liang Feng, Zhihua Cai, Yew-Soon Ong, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Deep Multigrained Cascade Forest for Hyperspectral Image Classification

Xiaobo Liu, Zhihua Cai, Ruilin Wang, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Learning attribute weighted AODE for ROC area ranking

Zhihua Cai, Jia Wu, Z. Cai, 2014, Int. J. Inf. Commun. Technol..

Parameter optimization of PEMFC model with improved multi-strategy adaptive differential evolution

Wenyin Gong, Zhihua Cai, Wenyin Gong, 2014, Eng. Appl. Artif. Intell..

Instance cloned extreme learning machine

Chuan Zhou, Jia Wu, Zhihua Cai, 2017, Pattern Recognit..

An improved multiobjective differential evolution based on Pareto-adaptive epsilon-dominance and orthogonal design

Wenyin Gong, Zhihua Cai, Wenyin Gong, 2009, Eur. J. Oper. Res..

A Combined Method Based on Visual and Communication for Simulative Agent Localization

Xiaoming Liu, Zhihua Cai, Hao Zheng, 2012 .

Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2007, ICIC.

Hyperspectral image classification using set-to-set distance

Junjun Jiang, Chen Chen, Xin Song, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gaussian Processes Autoencoder for Dimensionality Reduction

Junbin Gao, Xia Hong, Zhihua Cai, 2014, PAKDD.

Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing

Liangxiao Jiang, Zhihua Cai, Chen Qiu, 2018, PRICAI.

Classification guided differential evolution

Wenyin Gong, Zhihua Cai, Shiyan Shen, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Multi-graph-view Learning for Graph Classification

Chengqi Zhang, Zhibin Hong, Jia Wu, 2014, 2014 IEEE International Conference on Data Mining.

Kernel Function Pre-Processed SVM and Its Application in Imbalanced Data Sets

Zhihua Cai, Jia Wu, Shuang Ao, 2011 .

Multi-instance Multi-graph Dual Embedding Learning

Chengqi Zhang, Jia Wu, Zhihua Cai, 2013, 2013 IEEE 13th International Conference on Data Mining.

A Novel Distance Function: frequency difference Metric

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2014, Int. J. Pattern Recognit. Artif. Intell..

Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, Huangshi, China, Ocotober 23-25, 2009, Proceedings

Zhihua Cai, Isica, 2009, ISICA.

Attribute weighted methods for Bayesian Network Classifiers

Zhihua Cai, Jia Wu, 2012 .

Evaluation Measures of the Classification Performance of Imbalanced Data Sets

Zhihua Cai, Li Zhu, Qiong Gu, 2009 .

Augmented Naive Bayes Based on Evolutional Strategy

Liangxiao Jiang, Zhihua Cai, Sifa Zhang, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

Recognition and Classification of High Resolution Remote Sensing Image based on Convolutional Neural Network

Xiang Li, Zhihua Cai, Guanyu Chen, 2018 .

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery

Zhihua Cai, Xinwei Jiang, Yongshan Zhang, 2021 .

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image

Xiaobo Liu, Zhihua Cai, Xinwei Jiang, 2021, IEEE Geoscience and Remote Sensing Letters.

Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain

Xiaobo Liu, Zhihua Cai, Qiubo Hu, 2021, IEEE Geoscience and Remote Sensing Letters.

CBS-GAN: A Band Selection Based Generative Adversarial Net for Hyperspectral Sample Generation

Xiaobo Liu, Zhihua Cai, Yulin Qiao, 2021 .

Nonlocal Band Attention Network for Hyperspectral Image Band Selection

Xiaobo Liu, Zhihua Cai, Yaoming Cai, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification

Xiaobo Liu, Zhihua Cai, Jianfeng Yang, 2021, Remote. Sens..

Dynamic K-Nearest-Neighbor with Distance and attribute weighted for classification

Zhihua Cai, Zhechao Gao, Z. Cai, 2010, 2010 International Conference on Electronics and Information Engineering.

Enhance the Convergence and Diversity for epsilon-MOPSO by Uniform Design and Minimum Reduce Hypervolume

Zhihua Cai, Siwei Jiang, 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

Differential Evolution Made Faster And More Robust

Wenyin Gong, Zhihua Cai, 2006, 2006 IEEE International Conference on Industrial Technology.