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2020 – today
- 2024
[j107]Shang Gao, Xinwei Jiang
, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai:
Superpixelwise PCA based data augmentation for hyperspectral image classification. Multim. Tools Appl. 83(34): 81209-81229 (2024)- [j106]Yongshan Zhang, Jianwen Qi, Xinxin Wang, Zhihua Cai, Jiangtao Peng, Yicong Zhou:
Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection. IEEE Trans. Circuits Syst. Video Technol. 34(12): 13213-13225 (2024) - [j105]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: 1-13 (2024) - [j104]Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou:
Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery. IEEE Trans. Multim. 26: 9551-9563 (2024) - 2023
- [j103]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): 118971 (2023) - [j102]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: 119655 (2023) - [j101]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: 1-5 (2023) - [j100]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: 109096 (2023) - [j99]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: 1-17 (2023) - [j98]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: 1-15 (2023) - [j97]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): 40:1-40:23 (2023) - [c92]Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP 2023: 1-5 - [c91]Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai:
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP 2023: 1-5 - [c90]Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP 2023: 1-5 - 2022
- [j96]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: 109650 (2022) - [j95]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: 117397 (2022) - [j94]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: 1-5 (2022) - [j93]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: 1-5 (2022) - [j92]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: 1-5 (2022) - [j91]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: 1-5 (2022) - [j90]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): 12061-12075 (2022) - [j89]Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen:
CubeNet: X-shape connection for camouflaged object detection. Pattern Recognit. 127: 108644 (2022) - [j88]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): 1038 (2022) - [j87]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: 1-13 (2022) - [j86]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: 1-14 (2022) - [j85]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: 1-10 (2022) - [c89]Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai:
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS 2022: 3616-3619 - 2021
- [j84]Yanyun Zhang, Guanyu Chen, Zhihua Cai:
Small Target Detection Based on Squared Cross Entropy and Dense Feature Pyramid Networks. IEEE Access 9: 55179-55190 (2021) - [j83]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: 53-61 (2021) - [j82]Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang:
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. 578: 85-101 (2021) - [j81]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): 866-870 (2021) - [j80]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): 1082 (2021) - [j79]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: 3462-3474 (2021) - [j78]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): 200-212 (2021) - [j77]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): 4191-4202 (2021) - [c88]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: 293-302 - [c87]Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops 2021 - [c86]Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu:
Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. ICME 2021: 1-6 - [c85]Minghui Zhao, Dongxin Zhao, Zhihua Cai, Qijun Chen:
Research on Vibration Characteristics of Parametric Shell Structure. ISCID 2021: 333-336 - [i5]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi:
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR abs/2111.07942 (2021) - [i4]Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR abs/2111.07945 (2021) - 2020
- [j76]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) - [j75]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): 1963-1967 (2020) - [j74]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): 1262 (2020) - [j73]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: 3892-3902 (2020) - [j72]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: 4869-4880 (2020) - [j71]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): 1969-1984 (2020) - [j70]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): 2844-2857 (2020) - [j69]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): 1499-1513 (2020) - [c84]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: 190-195 - [c83]Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai:
Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. IGARSS 2020: 509-512 - [c82]Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai:
Graph Convolutional Extreme Learning Machine. IJCNN 2020: 1-8 - [i3]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 abs/2004.10476 (2020)
2010 – 2019
- 2019
- [j68]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: 33778-33786 (2019) - [j67]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: 147796-147807 (2019) - [j66]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): 452-456 (2019) - [j65]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): 781-785 (2019) - [j64]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): 1889-1893 (2019) - [j63]Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu:
An unsupervised parameter learning model for RVFL neural network. Neural Networks 112: 85-97 (2019) - [j62]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): 29 (2019) - [j61]Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai:
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. 11(17): 1983 (2019) - [j60]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai:
Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. 11(19): 2288 (2019) - [j59]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): 8169-8183 (2019) - [j58]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): 53:1-53:23 (2019) - [c81]Zuowen Liao, Wenyin Gong, Zhihua Cai:
A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems. BIC-TA (1) 2019: 422-438 - [c80]Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang:
Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. CEC 2019: 3118-3125 - [c79]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: 2694-2697 - [c78]Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang:
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS 2019: 1-5 - [i2]Yaoming Cai, Xiaobo Liu, Zhihua Cai:
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR abs/1904.08269 (2019) - 2018
- [j57]Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
Ensemble Transfer Learning Algorithm. IEEE Access 6: 2389-2396 (2018) - [j56]Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai:
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317: 88-100 (2018) - [j55]Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai:
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116: 101-106 (2018) - [j54]Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai:
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. Sensors 18(6): 1978 (2018) - [j53]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): 4581-4593 (2018) - [c77]Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang:
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN 2018: 1-8 - [c76]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong:
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN 2018: 1-7 - [c75]Bi Wu, Zhihua Cai, Xiaobo Liu:
Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. IJCNN 2018: 1-6 - [c74]Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu:
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) 2018: 297-308 - [c73]Chen Qiu, Liangxiao Jiang, Zhihua Cai:
Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing. PRICAI 2018: 165-173 - [i1]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 abs/1806.09807 (2018) - 2017
- [j52]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): 1760-1764 (2017) - [j51]Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai:
Instance cloned extreme learning machine. Pattern Recognit. 68: 52-65 (2017) - [j50]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): 493-505 (2017) - [j49]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): 697-713 (2017) - [c72]Yanan Li, Wenyin Gong, Zhihua Cai:
Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution. ACALCI 2017: 339-352 - [c71]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: 420-435 - [c70]Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang:
Pre-trained Extreme Learning Machine. ICONIP (5) 2017: 14-23 - [c69]Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A weighted-resampling based transfer learning algorithm. IJCNN 2017: 185-190 - 2016
- [j48]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. 367-368: 354-372 (2016) - [j47]Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
Bagging based ensemble transfer learning. J. Ambient Intell. Humaniz. Comput. 7(1): 29-36 (2016) - [j46]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): 29-54 (2016) - [j45]Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen:
Memetic Extreme Learning Machine. Pattern Recognit. 58: 135-148 (2016) - [j44]Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhihua Cai:
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. Signal Process. 124: 162-172 (2016) - [c68]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: 500-507 - [c67]Shiyan Shen, Wenyin Gong, Zhihua Cai:
Classification guided differential evolution. CEC 2016: 3276-3283 - [c66]Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai:
Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) 2016: 229-241 - [c65]Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai:
Hyperspectral image classification using set-to-set distance. ICASSP 2016: 3346-3350 - [c64]Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang:
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN 2016: 3378-3384 - 2015
- [j43]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): 1487-1502 (2015) - [j42]Wenyin Gong, Zhihua Cai, Jun Du:
Ensemble of different improvements in differential evolution for parameter extraction of PEMFC model. Int. J. Comput. Appl. Technol. 51(3): 193-202 (2015) - [j41]Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai:
Locally Weighted Learning: How and When Does it Work in Bayesian Networks? Int. J. Comput. Intell. Syst. 8(sup1): 63-74 (2015) - [j40]Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A MultiBoosting Based Transfer Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19(3): 381-388 (2015) - [j39]Ming Yang, Changhe Li, Zhihua Cai, Jing Guan:
Differential Evolution With Auto-Enhanced Population Diversity. IEEE Trans. Cybern. 45(2): 302-315 (2015) - [j38]Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai:
Boosting for Multi-Graph Classification. IEEE Trans. Cybern. 45(3): 430-443 (2015) - [j37]Wenyin Gong, Zhihua Cai, Dingwen Liang:
Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization. IEEE Trans. Cybern. 45(4): 716-727 (2015) - [j36]Wenyin Gong, Aimin Zhou, Zhihua Cai:
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization. IEEE Trans. Evol. Comput. 19(5): 746-758 (2015) - [c63]Jun Du, Zhihua Cai:
Modelling Class Noise with Symmetric and Asymmetric Distributions. AAAI 2015: 2589-2595 - [c62]Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Multi-Graph-View Learning for Complicated Object Classification. IJCAI 2015: 3953-3959 - [c61]