Zhihua Cai

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 106

Top Venues

IEEE Geosci. Remote. Sens. Lett.

IEEE Trans. Geosci. Remote. Sens.

IJCNN

Remote. Sens.

Publications

Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li
Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP (2023)
Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Eman Ahmed Alawamy, Ahamed Alalimi
ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images. Expert Syst. Appl. 213 (Part) (2023)
Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP (2023)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Eman Ahmed Alawamy
IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images. Pattern Recognit. 134 (2023)
Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness
FHIC: Fast Hyperspectral Image Classification Model Using ETR Dimensionality Reduction and ELU Activation Function. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP (2023)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai
Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Inf. Sci. 649 (2023)
Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Abdelghani Dahou, Yuxiang Shao, Sakinatu Issaka
Meta-Learner Hybrid Models to Classify Hyperspectral Images. Remote. Sens. 14 (4) (2022)
Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. Multim. Tools Appl. 81 (9) (2022)
Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. 203 (2022)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li
MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Qiubo Hu, Wenxiang Xu, Xiaobo Liu, Zhihua Cai, Junjie Cai
Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen
CubeNet: X-shape connection for camouflaged object detection. Pattern Recognit. 127 (2022)
Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS (2022)
Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang
Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Abdelghani Dahou, Eman Ahmed Alawamy, Sakinatu Issaka
Compression and reinforce variation with convolutional neural networks for hyperspectral image classification. Appl. Soft Comput. 130 (2022)
Xiaobo Liu, Mostofa Zaman Mohammad, Chaochao Zhang, Xin Gong, Zhihua Cai
Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification. BIC-TA (2) (2021)
Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu
Nonlocal Band Attention Network for Hyperspectral Image Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops (2021)
Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR (2021)
Yanyun Zhang, Guanyu Chen, Zhihua Cai
Small Target Detection Based on Squared Cross Entropy and Dense Feature Pyramid Networks. IEEE Access 9 (2021)
Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. 578 (2021)
Guanyu Chen, Yanyun Zhang, Zhihua Cai, Xiang Li
The building recognition and analysis of remote sensing image based on depth belief network. Cogn. Syst. Res. 68 (2021)
Chen Qiu, Guangyou Zhou, Zhihua Cai, Anders Søgaard
A Global-Local Attentive Relation Detection Model for Knowledge-Based Question Answering. IEEE Trans. Artif. Intell. 2 (2) (2021)
Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu
Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. ICME (2021)
Xiaobo Liu, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, Xin Gong
Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification. Remote. Sens. 13 (6) (2021)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 59 (5) (2021)
Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge
Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18 (5) (2021)
Minghui Zhao, Dongxin Zhao, Zhihua Cai, Qijun Chen
Research on Vibration Characteristics of Parametric Shell Structure. ISCID (2021)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR (2021)
Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang
Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai
Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. IGARSS (2020)
Yaoming Cai, Xiaobo Liu, Zhihua Cai
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 58 (3) (2020)
Xiaobo Liu, Yulin Qiao, Yonghua Xiong, Zhihua Cai, Peng Liu
Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation. Sci. China Inf. Sci. 63 (4) (2020)
Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai
Graph Convolutional Extreme Learning Machine. IJCNN (2020)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. CoRR (2020)
Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu
Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. IEEE Trans. Multim. 22 (11) (2020)
Minghui Zhao, Zhihua Cai, Dongbo Wang, Sai Ma, Liyun Zhong
Application of Roadway Deformation Detection Method Based on Machine Vision for Underground Patrol Robot. CRC (2020)
Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors 20 (5) (2020)
Wenyin Gong, Yong Wang, Zhihua Cai, Ling Wang
Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 50 (4) (2020)
Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai
Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. 11 (17) (2019)
Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS (2019)
Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. IEEE Geosci. Remote. Sens. Lett. 16 (12) (2019)
Zhikun Chen, Junjun Jiang, Chong Zhou, Shaoyuan Fu, Zhihua Cai
SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images. IEEE Access 7 (2019)
Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7 (2019)
Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin
Deep Multigrained Cascade Forest for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (10) (2019)
Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. 11 (1) (2019)
Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang
Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. CEC (2019)
Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu
An unsupervised parameter learning model for RVFL neural network. Neural Networks 112 (2019)
Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai
Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 16 (5) (2019)
Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai
Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. IEEE Geosci. Remote. Sens. Lett. 16 (3) (2019)
Zuowen Liao, Wenyin Gong, Zhihua Cai
A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems. BIC-TA (1) (2019)
Yaoming Cai, Xiaobo Liu, Zhihua Cai
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR (2019)
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li
Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. IGARSS (2019)
Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai
Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. 11 (19) (2019)
Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) (2018)
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
Ensemble Transfer Learning Algorithm. IEEE Access 6 (2018)
Chen Qiu, Liangxiao Jiang, Zhihua Cai
Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing. PRICAI (2018)
Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. CoRR (2018)
Bi Wu, Zhihua Cai, Xiaobo Liu
Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. IJCNN (2018)
Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. Sensors 18 (6) (2018)
Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 56 (8) (2018)
Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116 (2018)
Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN (2018)
Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN (2018)
Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317 (2018)
Yanan Li, Wenyin Gong, Zhihua Cai
Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution. ACALCI (2017)
Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 21 (4) (2017)
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
A weighted-resampling based transfer learning algorithm. IJCNN (2017)
Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang
Pre-trained Extreme Learning Machine. ICONIP (5) (2017)
Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai
Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. BIC-TA (2017)
Wenyin Gong, Yong Wang, Zhihua Cai, Shengxiang Yang
A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems. IEEE Trans. Evol. Comput. 21 (5) (2017)
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai
Instance cloned extreme learning machine. Pattern Recognit. 68 (2017)
Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai
Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14 (10) (2017)
Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai
Hyperspectral image classification using set-to-set distance. ICASSP (2016)
Shiyan Shen, Wenyin Gong, Zhihua Cai
Classification guided differential evolution. CEC (2016)
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhihua Cai
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. Signal Process. 124 (2016)
Junjun Jiang, Chen Chen, Kebin Huang, Zhihua Cai, Ruimin Hu
Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation. Inf. Sci. (2016)
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
Multi-graph-view subgraph mining for graph classification. Knowl. Inf. Syst. 48 (1) (2016)
Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
Bagging based ensemble transfer learning. J. Ambient Intell. Humaniz. Comput. 7 (1) (2016)
Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) (2016)
Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN (2016)
Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
Memetic Extreme Learning Machine. Pattern Recognit. 58 (2016)
Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai
Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. CEC (2016)
Wenyin Gong, Aimin Zhou, Zhihua Cai
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization. IEEE Trans. Evol. Comput. 19 (5) (2015)
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang
Self-adaptive attribute weighting for Naive Bayes classification. Expert Syst. Appl. 42 (3) (2015)
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai
Boosting for Multi-Graph Classification. IEEE Trans. Cybern. 45 (3) (2015)
Ming Yang, Changhe Li, Zhihua Cai, Jing Guan
Differential Evolution With Auto-Enhanced Population Diversity. IEEE Trans. Cybern. 45 (2) (2015)
Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu
A memetic algorithm based extreme learning machine for classification. IJCNN (2015)

Zhihua Cai.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhihua Cai