Zhihua Cai

According to our database, Zhihua Cai authored at least 200 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Superpixelwise PCA based data augmentation for hyperspectral image classification.

Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai

Multim. Tools Appl., October, 2024

Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery.

Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou

IEEE Trans. Multim., 2024

Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering.

Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Transformer-based contrastive prototypical clustering for multimodal remote sensing data.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai

Inf. Sci., November, 2023

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding

ACM Trans. Intell. Syst. Technol., 2023

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.

Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

FHIC: Fast Hyperspectral Image Classification Model Using ETR Dimensionality Reduction and ELU Activation Function.

Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness

IEEE Trans. Geosci. Remote. Sens., 2023

IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images.

Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Eman Ahmed Alawamy

Pattern Recognit., 2023

Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery.

Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2023

ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images.

Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Eman Ahmed Alawamy, Ahamed Alalimi

Expert Syst. Appl., 2023

Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection.

Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection.

Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

Structured-Anchor Projected Clustering for Hyperspectral Images.

Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.

Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Trans. Geosci. Remote. Sens., 2022

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification.

Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li

IEEE Trans. Geosci. Remote. Sens., 2022

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen

IEEE Trans. Geosci. Remote. Sens., 2022

Meta-Learner Hybrid Models to Classify Hyperspectral Images.

Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Abdelghani Dahou, Yuxiang Shao, Sakinatu Issaka

Remote. Sens., 2022

CubeNet: X-shape connection for camouflaged object detection.

Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen

Pattern Recognit., 2022

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

Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Multim. Tools Appl., 2022

Deep Mutual Information Subspace Clustering Network for Hyperspectral Images.

Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection.

Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2022

Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain.

Qiubo Hu, Wenxiang Xu, Xiaobo Liu, Zhihua Cai, Junjie Cai

IEEE Geosci. Remote. Sens. Lett., 2022

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

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang

IEEE Geosci. Remote. Sens. Lett., 2022

CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization.

Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan

Expert Syst. Appl., 2022

Compression and reinforce variation with convolutional neural networks for hyperspectral image classification.

Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Abdelghani Dahou, Eman Ahmed Alawamy, Sakinatu Issaka

Appl. Soft Comput., 2022

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification.

Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

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

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan

IEEE Trans. Geosci. Remote. Sens., 2021

A Global-Local Attentive Relation Detection Model for Knowledge-Based Question Answering.

Chen Qiu, Guangyou Zhou, Zhihua Cai, Anders Søgaard

IEEE Trans. Artif. Intell., 2021

Nonlocal Band Attention Network for Hyperspectral Image Band Selection.

Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

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

Xiaobo Liu, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, Xin Gong

Remote. Sens., 2021

Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification.

Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge

IEEE Geosci. Remote. Sens. Lett., 2021

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering.

Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang

Inf. Sci., 2021

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning.

Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai

CoRR, 2021

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering.

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi

CoRR, 2021

The building recognition and analysis of remote sensing image based on depth belief network.

Guanyu Chen, Yanyun Zhang, Zhihua Cai, Xiang Li

Cogn. Syst. Res., 2021

Small Target Detection Based on Squared Cross Entropy and Dense Feature Pyramid Networks.

Yanyun Zhang, Guanyu Chen, Zhihua Cai

IEEE Access, 2021

Research on Vibration Characteristics of Parametric Shell Structure.

Minghui Zhao, Dongxin Zhao, Zhihua Cai, Qijun Chen

Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition.

Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning.

Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification.

Xiaobo Liu, Mostofa Zaman Mohammad, Chaochao Zhang, Xin Gong, Zhihua Cai

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021

2020

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

Wenyin Gong, Yong Wang, Zhihua Cai, Ling Wang

IEEE Trans. Syst. Man Cybern. Syst., 2020

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

Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu

IEEE Trans. Multim., 2020

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image.

Yaoming Cai, Xiaobo Liu, Zhihua Cai

IEEE Trans. Geosci. Remote. Sens., 2020

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

Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

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

Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

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

Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen

Sensors, 2020

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

Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang

IEEE Geosci. Remote. Sens. Lett., 2020

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

Xiaobo Liu, Yulin Qiao, Yonghua Xiong, Zhihua Cai, Peng Liu

Sci. China Inf. Sci., 2020

Graph Convolutional Extreme Learning Machine.

Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Application of Roadway Deformation Detection Method Based on Machine Vision for Underground Patrol Robot.

Minghui Zhao, Zhihua Cai, Dongbo Wang, Sai Ma, Liyun Zhong

Proceedings of the 5th International Conference on Control, Robotics and Cybernetics, 2020

2019

Multi-View Fusion with Extreme Learning Machine for Clustering.

Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu

ACM Trans. Intell. Syst. Technol., 2019

Deep Multigrained Cascade Forest for Hyperspectral Image Classification.

Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin

IEEE Trans. Geosci. Remote. Sens., 2019

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

Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai

Remote. Sens., 2019

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification.

Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai

Remote. Sens., 2019

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

Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai

Remote. Sens., 2019

An unsupervised parameter learning model for RVFL neural network.

Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu

Neural Networks, 2019

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering.

Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku

IEEE Geosci. Remote. Sens. Lett., 2019

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

Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2019

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction.

Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2019

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

Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang

IEEE Access, 2019

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

Zhikun Chen, Junjun Jiang, Chong Zhou, Shaoyuan Fu, Zhihua Cai

IEEE Access, 2019

Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification.

Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

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

Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

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

Zuowen Liao, Wenyin Gong, Zhihua Cai

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018

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

Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang

IEEE Trans. Geosci. Remote. Sens., 2018

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

Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai

Sensors, 2018

Hierarchical ensemble of Extreme Learning Machine.

Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai

Pattern Recognit. Lett., 2018

A multiobjective optimization-based sparse extreme learning machine algorithm.

Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai

Neurocomputing, 2018

Ensemble Transfer Learning Algorithm.

Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

IEEE Access, 2018

Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing.

Chen Qiu, Liangxiao Jiang, Zhihua Cai

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Shared Deep Kernel Learning for Dimensionality Reduction.

Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation.

Bi Wu, Zhihua Cai, Xiaobo Liu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Functional Locality Preserving Projection for Dimensionality Reduction.

Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.

Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

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

Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao

IEEE Trans. Evol. Comput., 2017

A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems.

Wenyin Gong, Yong Wang, Zhihua Cai, Shengxiang Yang

IEEE Trans. Evol. Comput., 2017

Instance cloned extreme learning machine.

Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai

Pattern Recognit., 2017

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.

Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2017

A weighted-resampling based transfer learning algorithm.

Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Pre-trained Extreme Learning Machine.

Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Extreme Learning Machine Based on Evolutionary Multi-objective Optimization.

Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai

Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

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

Yanan Li, Wenyin Gong, Zhihua Cai

Proceedings of the Artificial Life and Computational Intelligence, 2017

2016

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

Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhihua Cai

Signal Process., 2016

Memetic Extreme Learning Machine.

Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen

Pattern Recognit., 2016

Multi-graph-view subgraph mining for graph classification.

Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang

Knowl. Inf. Syst., 2016

Bagging based ensemble transfer learning.

Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

J. Ambient Intell. Humaniz. Comput., 2016

Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation.

Junjun Jiang, Chen Chen, Kebin Huang, Zhihua Cai, Ruimin Hu

Inf. Sci., 2016

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.

Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hyperspectral image classification using set-to-set distance.

Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Multiple-Instance Learning with Evolutionary Instance Selection.

Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai

Proceedings of the Database Systems for Advanced Applications, 2016

Classification guided differential evolution.

Shiyan Shen, Wenyin Gong, Zhihua Cai

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition.

Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

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

Wenyin Gong, Aimin Zhou, Zhihua Cai

IEEE Trans. Evol. Comput., 2015

Differential Evolution With Auto-Enhanced Population Diversity.

Ming Yang, Changhe Li, Zhihua Cai, Jing Guan

IEEE Trans. Cybern., 2015

Boosting for Multi-Graph Classification.

Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai

IEEE Trans. Cybern., 2015

Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization.

Wenyin Gong, Zhihua Cai, Dingwen Liang

IEEE Trans. Cybern., 2015

A MultiBoosting Based Transfer Learning Algorithm.

Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

J. Adv. Comput. Intell. Intell. Informatics, 2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?

Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai

Int. J. Comput. Intell. Syst., 2015

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

Wenyin Gong, Zhihua Cai, Jun Du

Int. J. Comput. Appl. Technol., 2015

Self-adaptive attribute weighting for Naive Bayes classification.

Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang

Expert Syst. Appl., 2015

A memetic algorithm based extreme learning machine for classification.

Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-Graph-View Learning for Complicated Object Classification.

Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Modelling Class Noise with Symmetric and Asymmetric Distributions.

Jun Du, Zhihua Cai

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.

Liping Zhang, Shanyu Tang, Zhihua Cai

Secur. Commun. Networks, 2014

Bayesian Citation-KNN with distance weighting.

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang

Int. J. Mach. Learn. Cybern., 2014

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

Yangguang Sun, Zhihua Cai

J. Networks, 2014

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

Jia Wu, Zhihua Cai

J. Intell. Inf. Syst., 2014

A Novel Distance Function: frequency difference Metric.

Liangxiao Jiang, Chaoqun Li, Harry Zhang, Zhihua Cai

Int. J. Pattern Recognit. Artif. Intell., 2014

Learning attribute weighted AODE for ROC area ranking.

Jia Wu, Zhihua Cai

Int. J. Inf. Commun. Technol., 2014

Efficient and flexible password authenticated key agreement for Voice over Internet Protocol Session Initiation Protocol using smart card.

Liping Zhang, Shanyu Tang, Zhihua Cai

Int. J. Commun. Syst., 2014

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

Liping Zhang, Shanyu Tang, Zhihua Cai

IET Commun., 2014

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

Guiling Li, Zhihua Cai, Xiaojun Kang, Zongda Wu, Yuanzhen Wang

Expert Syst. Appl., 2014

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

Wenyin Gong, Zhihua Cai

Eng. Appl. Artif. Intell., 2014

Repairing the crossover rate in adaptive differential evolution.

Wenyin Gong, Zhihua Cai, Yang Wang

Appl. Soft Comput., 2014

Multi-Graph Learning with Positive and Unlabeled Bags.

Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.

Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Gaussian Processes Autoencoder for Dimensionality Reduction.

Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Dual instance and attribute weighting for Naive Bayes classification.

Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An Adaptive Strategy to Adjust the Components of Memetic Algorithms.

Jin Xu, Zhihua Cai, Wenyin Gong

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Multi-graph-view Learning for Graph Classification.

Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A dimensional-level adaptive differential evolutionary algorithm for continuous optimization.

Ming Yang, Jing Guan, Zhihua Cai, Changhe Li

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

The parameter optimization of kalman filter based on multi-objective memetic algorithm.

Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

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

Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

An improved JADE algorithm for global optimization.

Ming Yang, Zhihua Cai, Changhe Li, Jing Guan

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

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

Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Dimensionally Reduction: An Experimental Study.

Xin Song, Zhihua Cai, Wei Xu

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013

Differential Evolution With Ranking-Based Mutation Operators.

Wenyin Gong, Zhihua Cai

IEEE Trans. Cybern., 2013

Weighted Clone Selection Algorithm based on Rough Set Theory.

Jia Wu, Zhihua Cai, Xiaolin Chen, Meng Li, Bin Guo

J. Softw., 2013

Naive Bayes text classifiers: a locally weighted learning approach.

Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang

J. Exp. Theor. Artif. Intell., 2013

Boosting for superparent-one-dependence estimators.

Jia Wu, Zhihua Cai

Int. J. Comput. Sci. Math., 2013

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

Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao

Int. J. Comput. Appl. Technol., 2013

Artificial immune system for attribute weighted Naive Bayes classification.

Jia Wu, Zhihua Cai, Sanyou Zeng, Xingquan Zhu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-adaptive probability estimation for Naive Bayes classification.

Jia Wu, Zhihua Cai, Xingquan Zhu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning.

Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Multi-instance Multi-graph Dual Embedding Learning.

Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

An improved adaptive differential evolution algorithm with population adaptation.

Ming Yang, Zhihua Cai, Changhe Li, Jing Guan

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Improving Tree augmented Naive Bayes for class probability estimation.

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang

Knowl. Based Syst., 2012

Weighted average of one-dependence estimators†.

Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang

J. Exp. Theor. Artif. Intell., 2012

Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.

Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang

J. Comput., 2012

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

Wenyin Gong, Zhihua Cai

J. Comput., 2012

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

Jia Wu, Zhihua Cai, Shuang Ao

Int. J. Comput. Appl. Technol., 2012

Discriminatively Weighted Naive Bayes and its Application in Text Classification.

Liangxiao Jiang, Dianhong Wang, Zhihua Cai

Int. J. Artif. Intell. Tools, 2012

Not so greedy: Randomly Selected Naive Bayes.

Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang

Expert Syst. Appl., 2012

A Tri-training Based Transfer Learning Algorithm.

Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang

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.

Wenyin Gong, Zhihua Cai

Proceedings of the Eighth International Conference on Natural Computation, 2012

2011

Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization.

Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li

IEEE Trans. Syst. Man Cybern. Part B, 2011

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

Wenyin Gong, Álvaro Fialho, Zhihua Cai, Hui Li

Inf. Sci., 2011

A Generalized Hybrid Generation Scheme of Differential Evolution for Global Numerical Optimization.

Wenyin Gong, Zhihua Cai, Liyuan Jia, Hui Li

Int. J. Comput. Intell. Appl., 2011

A clustering-based differential evolution for global optimization.

Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang

Appl. Soft Comput., 2011

Multiobjective optimization by decomposition with Pareto-adaptive weight vectors.

Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong

Proceedings of the Seventh International Conference on Natural Computation, 2011

Differential evolution with improved population reduction.

Ming Yang, Zhihua Cai, Jing Guan, Wenyin Gong

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Adaptive parameter selection for strategy adaptation in differential evolution.

Wenyin Gong, Zhihua Cai

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A novel hybrid biogeography-based optimization with differential mutation.

Yang Wang, Zhihua Cai

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.

Wenyin Gong, Zhihua Cai, Charles X. Ling

Soft Comput., 2010

A real-coded biogeography-based optimization with mutation.

Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li

Appl. Math. Comput., 2010

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

Leichen Chen, Zhihua Cai, Lu Chen, Qiong Gu

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

A New DEBP Algorithm and Its Application for Hematite Content Prediction.

Chao Yu, Zhihua Cai, Zhechao Gao, Huaming Zhong

Proceedings of the Computational Intelligence and Intelligent Systems, 2010

Self-adapting Differential Evolution Algorithm with Chaos Random for Global Numerical Optimization.

Ming Yang, Jing Guan, Zhihua Cai, Lu Wang

Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010

Differential Evolution Based Band Selection in Hyperspectral Data Classification.

Xiaobo Liu, Chao Yu, Zhihua Cai

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.

Siwei Jiang, Zhihua Cai

Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010

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

Zhenbang Hu, Zhihua Cai

Proceedings of the Computational Intelligence and Intelligent Systems, 2010

Adaptive strategy selection in differential evolution.

Wenyin Gong, Álvaro Fialho, Zhihua Cai

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.

Álvaro Fialho, Wenyin Gong, Zhihua Cai

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

A Novel Bayes Model: Hidden Naive Bayes.

Liangxiao Jiang, Harry Zhang, Zhihua Cai

IEEE Trans. Knowl. Data Eng., 2009

Learning decision tree for ranking.

Liangxiao Jiang, Chaoqun Li, Zhihua Cai

Knowl. Inf. Syst., 2009

Decision Tree with Better Class Probability Estimation.

Liangxiao Jiang, Chaoqun Li, Zhihua Cai

Int. J. Pattern Recognit. Artif. Intell., 2009

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

Wenyin Gong, Zhihua Cai

Eur. J. Oper. Res., 2009

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

Siwei Jiang, Zhihua Cai

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.

Qiong Gu, Zhihua Cai, Li Zhu

Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution.

Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang

Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation.

Zhiqiang Du, Zhihua Cai, Leichen Chen, Huihui Deng

Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

Hybrid differential evolution based on fuzzy C-means clustering.

Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems.

Siwei Jiang, Zhihua Cai

Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008

Using Instance cloning to Improve Naive Bayes for Ranking.

Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang

Int. J. Pattern Recognit. Artif. Intell., 2008

Enhancing the performance of differential evolution using orthogonal design method.

Wenyin Gong, Zhihua Cai, Liangxiao Jiang

Appl. Math. Comput., 2008

An Improved Gene Expression Programming for Fuzzy Classification.

Xiaobo Liu, Zhihua Cai, Wenyin Gong

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.

Jiewei Li, Zhihua Cai

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

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

Siwei Jiang, Zhihua Cai

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm.

Xuesong Yan, Qinghua Wu, Zhihua Cai

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.

Wenyin Gong, Zhihua Cai

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Using Support Vector Regression for Classification.

Bo Huang, Zhihua Cai, Qiong Gu, Changjun Chen

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.

Jun Du, Zhihua Cai, Yunliang Chen

Proceedings of the Third International Conference on Natural Computation, 2007

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

Liangxiao Jiang, Dianhong Wang, Zhihua Cai

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

K-Distributions: A New Algorithm for Clustering Categorical Data.

Zhihua Cai, Dianhong Wang, Liangxiao Jiang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Survey of Improving K-Nearest-Neighbor for Classification.

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Siwei Jiang

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

A Novel Differential Evolution Algorithm Based on <i>epsilon</i> -Domination and Orthogonal Design Method for Multiobjective Optimization.

Zhihua Cai, Wenyin Gong, Yongqin Huang

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Learning Locally Weighted C4.4 for Class Probability Estimation.

Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai

Proceedings of the Discovery Science, 10th International Conference, 2007

Cost-Sensitive Decision Trees with Pre-pruning.

Jun Du, Zhihua Cai, Charles X. Ling

Proceedings of the Advances in Artificial Intelligence, 2007

Survey of Improving Naive Bayes for Classification.

Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006

A Novel One-dependence Estimator Based on Multi-parents.

Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Augmented Naive Bayes Based on Evolutional Strategy.

Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang

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.

Jun Wang, Li Zhu, Zhihua Cai, Wenyin Gong, Xinwei Lu

Proceedings of the Intelligent Information Processing III, 2006

Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted.

Liangxiao Jiang, Harry Zhang, Zhihua Cai

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

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

Wenyin Gong, Zhihua Cai, Charles X. Ling

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

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

Wenyin Gong, Zhihua Cai, Xinwei Lu, Siwei Jiang

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

Learning Tree Augmented Naive Bayes for Ranking.

Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su

Proceedings of the Database Systems for Advanced Applications, 2005

One Dependence Augmented Naive Bayes.

Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005