Zhihua Cai - RankMe

216 papers A* 6A 7B 23C 8Misc 6Journal 117Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery. AAAI Yongshan Zhang, Zixuan Zhang, Xinxin Wang, Lefei Zhang, Zhihua Cai
2026	A*	`conf`	Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data. AAAI Yongshan Zhang, Kangyue Zheng, Shuaikang Yan, Xinxin Wang, Zhihua Cai
2026	J	`jnl`	Hessian-driven N:M sparsity and quantization co-optimization for edge device deployment. Integr. Minghao Tang, Ming Ling, Minhua Ren, Zhihua Cai, Zhen Liu, Shidi Tang, Jianjun Li
2026	J	`jnl`	UAV trajectory planning method based on dynamic window approach and adaptive deep Q-networks. Int. J. Bio Inspired Comput. Xiaobo Liu, Hongbo Xiang, Wenyin Gong, Feng Wang, Zhihua Cai
2025	J	`jnl`	Dual-Branch Convolution-Transformer Network With Spectral-Spatial Attention for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Yao Lu, Yongshan Zhang, Xinwei Jiang, Xiaobo Liu, Zhihua Cai
2025	J	`jnl`	Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. Ziyang Ma, Yongshan Zhang, Yuyun Lian, Xinwei Jiang, Xiaobo Liu, Zhihua Cai
2025	J	`jnl`	Superpixel Prior Cluster-Level Contrastive Clustering Network for Large-Scale Urban Hyperspectral Images and Vehicle Detection. IEEE Trans. Veh. Technol. Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Guozhu Jiang, Xiaobo Liu
2024	J	`jnl`	Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery. IEEE Trans. Multim. Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou
2024	J	`jnl`	Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. IEEE Trans. Geosci. Remote. Sens. Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li
2024	J	`jnl`	Superpixelwise PCA based data augmentation for hyperspectral image classification. Multim. Tools Appl. Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai
2024	J	`jnl`	Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection. IEEE Trans. Circuits Syst. Video Technol. Yongshan Zhang, Jianwen Qi, Xinxin Wang, Zhihua Cai, Jiangtao Peng, Yicong Zhou
2023	J	`jnl`	ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images. Expert Syst. Appl. Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Eman Ahmed Alawamy, Ahamed Alalimi
2023	J	`jnl`	FHIC: Fast Hyperspectral Image Classification Model Using ETR Dimensionality Reduction and ELU Activation Function. IEEE Trans. Geosci. Remote. Sens. Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness
2023	J	`jnl`	Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding
2023	J	`jnl`	IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images. Pattern Recognit. Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Eman Ahmed Alawamy
2023	Misc	`conf`	Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
2023	J	`jnl`	Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
2023	J	`jnl`	Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza
2023	Misc	`conf`	Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
2023	Misc	`conf`	Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
2023	J	`jnl`	Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Inf. Sci. Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai
2022	J	`jnl`	CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan
2022	J	`jnl`	Compression and reinforce variation with convolutional neural networks for hyperspectral image classification. Appl. Soft Comput. Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Abdelghani Dahou, Eman Ahmed Alawamy, Sakinatu Issaka
2022	J	`jnl`	CubeNet: X-shape connection for camouflaged object detection. Pattern Recognit. Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen
2022	J	`jnl`	Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu
2022	J	`jnl`	Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang
2022	J	`jnl`	Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain. IEEE Geosci. Remote. Sens. Lett. Qiubo Hu, Wenxiang Xu, Xiaobo Liu, Zhihua Cai, Junjie Cai
2022	J	`jnl`	Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. Multim. Tools Appl. Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
2022	J	`jnl`	MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li
2022	J	`jnl`	Meta-Learner Hybrid Models to Classify Hyperspectral Images. Remote. Sens. Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Abdelghani Dahou, Yuxiang Shao, Sakinatu Issaka
2022	J	`jnl`	Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
2022	J	`jnl`	Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen
2022	C	`conf`	Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai
2022	J	`jnl`	Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. IEEE Geosci. Remote. Sens. Lett. Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
2021	J	`jnl`	A Global-Local Attentive Relation Detection Model for Knowledge-Based Question Answering. IEEE Trans. Artif. Intell. Chen Qiu, Guangyou Zhou, Zhihua Cai, Anders Søgaard
2021	J	`jnl`	Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification. Remote. Sens. Xiaobo Liu, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, Xin Gong
2021	J	`jnl`	Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge
2021	J	`jnl`	Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
2021	J	`jnl`	Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
2021	J	`jnl`	Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang
2021	—	`conf`	Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu
2021	J	`jnl`	Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai
2021	—	`conf`	Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification. BIC-TA (2) Xiaobo Liu, Mostofa Zaman Mohammad, Chaochao Zhang, Xin Gong, Zhihua Cai
2021	J	`jnl`	Nonlocal Band Attention Network for Hyperspectral Image Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu
2021	—	`conf`	Research on Vibration Characteristics of Parametric Shell Structure. ISCID Minghui Zhao, Dongxin Zhao, Zhihua Cai, Qijun Chen
2021	J	`jnl`	Small Target Detection Based on Squared Cross Entropy and Dense Feature Pyramid Networks. IEEE Access Yanyun Zhang, Guanyu Chen, Zhihua Cai
2021	A	`conf`	Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. ICME Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu
2021	J	`jnl`	The building recognition and analysis of remote sensing image based on depth belief network. Cogn. Syst. Res. Guanyu Chen, Yanyun Zhang, Zhihua Cai, Xiang Li
2020	—	`conf`	Application of Roadway Deformation Detection Method Based on Machine Vision for Underground Patrol Robot. CRC Minghui Zhao, Zhihua Cai, Dongbo Wang, Sai Ma, Liyun Zhong
2020	J	`jnl`	BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. Yaoming Cai, Xiaobo Liu, Zhihua Cai
2020	J	`jnl`	Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation. Sci. China Inf. Sci. Xiaobo Liu, Yulin Qiao, Yonghua Xiong, Zhihua Cai, Peng Liu
2020	J	`jnl`	Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai
2020	J	`jnl`	Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai
2020	J	`jnl`	Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. Wenyin Gong, Yong Wang, Zhihua Cai, Ling Wang
2020	B	`conf`	Graph Convolutional Extreme Learning Machine. IJCNN Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai
2020	J	`jnl`	Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. CoRR Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
2020	J	`jnl`	Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. IEEE Trans. Multim. Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu
2020	C	`conf`	Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. IGARSS Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai
2020	J	`jnl`	Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen
2020	J	`jnl`	Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang
2019	—	`conf`	A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems. BIC-TA (1) Zuowen Liao, Wenyin Gong, Zhihua Cai
2019	J	`jnl`	An unsupervised parameter learning model for RVFL neural network. Neural Networks Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu
2019	J	`jnl`	BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR Yaoming Cai, Xiaobo Liu, Zhihua Cai
2019	J	`jnl`	Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. IEEE Geosci. Remote. Sens. Lett. Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai
2019	J	`jnl`	Deep Multigrained Cascade Forest for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin
2019	—	`conf`	Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang
2019	J	`jnl`	Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai
2019	J	`jnl`	IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
2019	J	`jnl`	Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai
2019	J	`jnl`	Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Trans. Intell. Syst. Technol. Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
2019	B	`conf`	Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. CEC Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang
2019	C	`conf`	Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. IGARSS Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li
2019	J	`jnl`	Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai
2019	J	`jnl`	SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images. IEEE Access Zhikun Chen, Junjun Jiang, Chong Zhou, Shaoyuan Fu, Zhihua Cai
2019	J	`jnl`	Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai
2019	J	`jnl`	Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. IEEE Geosci. Remote. Sens. Lett. Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku
2018	B	`conf`	A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang
2018	J	`jnl`	A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
2018	J	`jnl`	Ensemble Transfer Learning Algorithm. IEEE Access Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
2018	B	`conf`	Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong
2018	J	`jnl`	Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
2018	B	`conf`	Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. IJCNN Bi Wu, Zhihua Cai, Xiaobo Liu
2018	—	`conf`	Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu
2018	J	`jnl`	Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. Sensors Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai
2018	J	`jnl`	SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. CoRR Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang
2018	J	`jnl`	SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang
2018	B	`conf`	Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing. PRICAI Chen Qiu, Liangxiao Jiang, Zhihua Cai
2017	J	`jnl`	A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems. IEEE Trans. Evol. Comput. Wenyin Gong, Yong Wang, Zhihua Cai, Shengxiang Yang
2017	B	`conf`	A weighted-resampling based transfer learning algorithm. IJCNN Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
2017	J	`jnl`	Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao
2017	—	`conf`	Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. BIC-TA Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai
2017	J	`jnl`	Instance cloned extreme learning machine. Pattern Recognit. Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai
2017	—	`conf`	Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution. ACALCI Yanan Li, Wenyin Gong, Zhihua Cai
2017	—	`conf`	Pre-trained Extreme Learning Machine. ICONIP (5) Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang
2017	J	`jnl`	Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai
2016	J	`jnl`	Bagging based ensemble transfer learning. J. Ambient Intell. Humaniz. Comput. Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
2016	J	`jnl`	CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. Signal Process. Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhihua Cai
2016	B	`conf`	Classification guided differential evolution. CEC Shiyan Shen, Wenyin Gong, Zhihua Cai
2016	Misc	`conf`	Hyperspectral image classification using set-to-set distance. ICASSP Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai
2016	J	`jnl`	Memetic Extreme Learning Machine. Pattern Recognit. Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
2016	J	`jnl`	Multi-graph-view subgraph mining for graph classification. Knowl. Inf. Syst. Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2016	—	`conf`	Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
2016	J	`jnl`	Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation. Inf. Sci. Junjun Jiang, Chen Chen, Kebin Huang, Zhihua Cai, Ruimin Hu
2016	B	`conf`	Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang
2016	B	`conf`	Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. CEC Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai
2015	J	`jnl`	A MultiBoosting Based Transfer Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
2015	J	`jnl`	A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization. IEEE Trans. Evol. Comput. Wenyin Gong, Aimin Zhou, Zhihua Cai
2015	B	`conf`	A memetic algorithm based extreme learning machine for classification. IJCNN Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu
2015	J	`jnl`	Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization. IEEE Trans. Cybern. Wenyin Gong, Zhihua Cai, Dingwen Liang
2015	J	`jnl`	Boosting for Multi-Graph Classification. IEEE Trans. Cybern. Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai
2015	J	`jnl`	Differential Evolution With Auto-Enhanced Population Diversity. IEEE Trans. Cybern. Ming Yang, Changhe Li, Zhihua Cai, Jing Guan
2015	J	`jnl`	Ensemble of different improvements in differential evolution for parameter extraction of PEMFC model. Int. J. Comput. Appl. Technol. Wenyin Gong, Zhihua Cai, Jun Du
2015	J	`jnl`	Locally Weighted Learning: How and When Does it Work in Bayesian Networks? Int. J. Comput. Intell. Syst. Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai
2015	A*	`conf`	Modelling Class Noise with Symmetric and Asymmetric Distributions. AAAI Jun Du, Zhihua Cai
2015	A*	`conf`	Multi-Graph-View Learning for Complicated Object Classification. IJCAI Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2015	J	`jnl`	Self-adaptive attribute weighting for Naive Bayes classification. Expert Syst. Appl. Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang
2014	J	`jnl`	A Novel Distance Function: frequency difference Metric. Int. J. Pattern Recognit. Artif. Intell. Liangxiao Jiang, Chaoqun Li, Harry Zhang, Zhihua Cai
2014	—	`conf`	A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. GECCO (Companion) Ming Yang, Jing Guan, Zhihua Cai, Changhe Li
2014	J	`jnl`	A naive Bayes probability estimation model based on self-adaptive differential evolution. J. Intell. Inf. Syst. Jia Wu, Zhihua Cai
2014	B	`conf`	A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system. IEEE Congress on Evolutionary Computation Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu
2014	B	`conf`	An Adaptive Strategy to Adjust the Components of Memetic Algorithms. ICTAI Jin Xu, Zhihua Cai, Wenyin Gong
2014	J	`jnl`	An Improved Character Segmentation Algorithm Based on Local Adaptive Thresholding Technique for Chinese NvShu Documents. J. Networks Yangguang Sun, Zhihua Cai
2014	B	`conf`	An improved JADE algorithm for global optimization. IEEE Congress on Evolutionary Computation Ming Yang, Zhihua Cai, Changhe Li, Jing Guan
2014	B	`conf`	Attribute weighting: How and when does it work for Bayesian Network Classification. IJCNN Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang
2014	J	`jnl`	Bayesian Citation-KNN with distance weighting. Int. J. Mach. Learn. Cybern. Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang
2014	J	`jnl`	Cryptanalysis and improvement of password-authenticated key agreement for session initiation protocol using smart cards. Secur. Commun. Networks Liping Zhang, Shanyu Tang, Zhihua Cai
2014	C	`conf`	Dimensionally Reduction: An Experimental Study. ADMA Xin Song, Zhihua Cai, Wei Xu
2014	B	`conf`	Dual instance and attribute weighting for Naive Bayes classification. IJCNN Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang
2014	J	`jnl`	ESPSA: A prediction-based algorithm for streaming time series segmentation. Expert Syst. Appl. Guiling Li, Zhihua Cai, Xiaojun Kang, Zongda Wu, Yuanzhen Wang
2014	J	`jnl`	Efficient and flexible password authenticated key agreement for Voice over Internet Protocol Session Initiation Protocol using smart card. Int. J. Commun. Syst. Liping Zhang, Shanyu Tang, Zhihua Cai
2014	A	`conf`	Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. CIKM Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2014	—	`conf`	Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai
2014	J	`jnl`	Learning attribute weighted AODE for ROC area ranking. Int. J. Inf. Commun. Technol. Jia Wu, Zhihua Cai
2014	A	`conf`	Multi-Graph Learning with Positive and Unlabeled Bags. SDM Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014	—	`conf`	Multi-Instance Learning from Positive and Unlabeled Bags. PAKDD (1) Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014	A*	`conf`	Multi-graph-view Learning for Graph Classification. ICDM Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2014	J	`jnl`	Parameter optimization of PEMFC model with improved multi-strategy adaptive differential evolution. Eng. Appl. Artif. Intell. Wenyin Gong, Zhihua Cai
2014	J	`jnl`	Repairing the crossover rate in adaptive differential evolution. Appl. Soft Comput. Wenyin Gong, Zhihua Cai, Yang Wang
2014	J	`jnl`	Robust and efficient password authenticated key agreement with user anonymity for session initiation protocol-based communications. IET Commun. Liping Zhang, Shanyu Tang, Zhihua Cai
2014	A	`conf`	The parameter optimization of kalman filter based on multi-objective memetic algorithm. GECCO Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu
2013	J	`jnl`	Active AODE learning based on a novel sampling strategy and its application. Int. J. Comput. Appl. Technol. Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao
2013	A	`conf`	An improved adaptive differential evolution algorithm with population adaptation. GECCO Ming Yang, Zhihua Cai, Changhe Li, Jing Guan
2013	B	`conf`	Artificial immune system for attribute weighted Naive Bayes classification. IJCNN Jia Wu, Zhihua Cai, Sanyou Zeng, Xingquan Zhu
2013	J	`jnl`	Boosting for superparent-one-dependence estimators. Int. J. Comput. Sci. Math. Jia Wu, Zhihua Cai
2013	J	`jnl`	Differential Evolution With Ranking-Based Mutation Operators. IEEE Trans. Cybern. Wenyin Gong, Zhihua Cai
2013	A*	`conf`	Multi-instance Multi-graph Dual Embedding Learning. ICDM Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2013	J	`jnl`	Naive Bayes text classifiers: a locally weighted learning approach. J. Exp. Theor. Artif. Intell. Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang
2013	B	`conf`	Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. ICTAI Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang
2013	B	`conf`	Self-adaptive probability estimation for Naive Bayes classification. IJCNN Jia Wu, Zhihua Cai, Xingquan Zhu
2013	J	`jnl`	Weighted Clone Selection Algorithm based on Rough Set Theory. J. Softw. Jia Wu, Zhihua Cai, Xiaolin Chen, Meng Li, Bin Guo
2012	B	`conf`	A Tri-training Based Transfer Learning Algorithm. ICTAI Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang
2012	J	`jnl`	Adaptive Parameter Selection for Strategy Adaptation in Differential Evolution for Continuous Optimization. J. Comput. Wenyin Gong, Zhihua Cai
2012	Misc	`conf`	An empirical study on differential evolution for optimal power allocation in WSNs. ICNC Wenyin Gong, Zhihua Cai
2012	J	`jnl`	Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. J. Comput. Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang
2012	—	`ed.`	Computational Intelligence and Intelligent Systems - 6th International Symposium, ISICA 2012, Wuhan, China, October 27-28, 2012. Proceedings ISICA Zhenhua Li, Xiang Li, Yong Liu, Zhihua Cai
2012	J	`jnl`	Discriminatively Weighted Naive Bayes and its Application in Text Classification. Int. J. Artif. Intell. Tools Liangxiao Jiang, Dianhong Wang, Zhihua Cai
2012	J	`jnl`	Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification. Int. J. Comput. Appl. Technol. Jia Wu, Zhihua Cai, Shuang Ao
2012	J	`jnl`	Improving Tree augmented Naive Bayes for class probability estimation. Knowl. Based Syst. Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang
2012	J	`jnl`	Not so greedy: Randomly Selected Naive Bayes. Expert Syst. Appl. Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang
2012	J	`jnl`	Weighted average of one-dependence estimators†. J. Exp. Theor. Artif. Intell. Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang
2011	J	`jnl`	A Generalized Hybrid Generation Scheme of Differential Evolution for Global Numerical Optimization. Int. J. Comput. Intell. Appl. Wenyin Gong, Zhihua Cai, Liyuan Jia, Hui Li
2011	J	`jnl`	A clustering-based differential evolution for global optimization. Appl. Soft Comput. Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang
2011	—	`conf`	A novel hybrid biogeography-based optimization with differential mutation. EMEIT Yang Wang, Zhihua Cai
2011	—	`conf`	Adaptive parameter selection for strategy adaptation in differential evolution. GECCO (Companion) Wenyin Gong, Zhihua Cai
2011	J	`jnl`	Adaptive strategy selection in differential evolution for numerical optimization: An empirical study. Inf. Sci. Wenyin Gong, Álvaro Fialho, Zhihua Cai, Hui Li
2011	—	`ed.`	Advances in Computation and Intelligence - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings ISICA (1) Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu
2011	—	`conf`	Differential evolution with improved population reduction. GECCO (Companion) Ming Yang, Zhihua Cai, Jing Guan, Wenyin Gong
2011	J	`jnl`	Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li
2011	Misc	`conf`	Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong
2010	—	`conf`	A New DEBP Algorithm and Its Application for Hematite Content Prediction. ISICA (2) Chao Yu, Zhihua Cai, Zhechao Gao, Huaming Zhong
2010	—	`conf`	A Novel Differential Evolution-Clustering Hybrid Resampling Algorithm on Imbalanced Datasets. WKDD Leichen Chen, Zhihua Cai, Lu Chen, Qiong Gu
2010	J	`jnl`	A real-coded biogeography-based optimization with mutation. Appl. Math. Comput. Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li
2010	A	`conf`	Adaptive strategy selection in differential evolution. GECCO Wenyin Gong, Álvaro Fialho, Zhihua Cai
2010	—	`ed.`	Computational Intelligence and Intelligent Systems - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings ISICA (2) Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu
2010	J	`jnl`	DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization. Soft Comput. Wenyin Gong, Zhihua Cai, Charles X. Ling
2010	—	`conf`	Differential Evolution Based Band Selection in Hyperspectral Data Classification. ISICA (1) Xiaobo Liu, Chao Yu, Zhihua Cai
2010	—	`conf`	Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonal and Uniform Design. ISICA (1) Siwei Jiang, Zhihua Cai
2010	—	`conf`	Feature Synthesis Algorithm Combined with k-NN Classifier for Spectral Data Classification. ISICA (2) Zhenbang Hu, Zhihua Cai
2010	—	`conf`	Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed. GECCO (Companion) Álvaro Fialho, Wenyin Gong, Zhihua Cai
2010	—	`conf`	Self-adapting Differential Evolution Algorithm with Chaos Random for Global Numerical Optimization. ISICA (1) Ming Yang, Jing Guan, Zhihua Cai, Lu Wang
2009	—	`conf`	A New Differential Evolution for Multiobjective Optimization by Uniform Design and Minimum Reduce Hypervolume. IWNC Siwei Jiang, Zhihua Cai
2009	J	`jnl`	A Novel Bayes Model: Hidden Naive Bayes. IEEE Trans. Knowl. Data Eng. Liangxiao Jiang, Harry Zhang, Zhihua Cai
2009	—	`conf`	A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems. AICI Siwei Jiang, Zhihua Cai
2009	—	`conf`	A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. ISICA Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang
2009	—	`ed.`	Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009, Proceedings ISICA Zhihua Cai, Zhenhua Li, Zhuo Kang, Yong Liu
2009	—	`conf`	An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation. ISICA Zhiqiang Du, Zhihua Cai, Leichen Chen, Huihui Deng
2009	J	`jnl`	An improved multiobjective differential evolution based on Pareto-adaptive epsilon-dominance and orthogonal design. Eur. J. Oper. Res. Wenyin Gong, Zhihua Cai
2009	—	`conf`	Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap. ISICA Qiong Gu, Zhihua Cai, Li Zhu
2009	J	`jnl`	Decision Tree with Better Class Probability Estimation. Int. J. Pattern Recognit. Artif. Intell. Liangxiao Jiang, Chaoqun Li, Zhihua Cai
2009	A	`conf`	Hybrid differential evolution based on fuzzy C-means clustering. GECCO Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du
2009	J	`jnl`	Learning decision tree for ranking. Knowl. Inf. Syst. Liangxiao Jiang, Chaoqun Li, Zhihua Cai
2008	—	`conf`	A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression. ISICA Jiewei Li, Zhihua Cai
2008	B	`conf`	A multiobjective differential evolution algorithm for constrained optimization. IEEE Congress on Evolutionary Computation Wenyin Gong, Zhihua Cai
2008	—	`conf`	Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm. ICIC (3) Xuesong Yan, Qinghua Wu, Zhihua Cai
2008	—	`ed.`	Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, Wuhan, China, December 19-21, 2008 Proceedings ISICA Lishan Kang, Zhihua Cai, Xuesong Yan, Yong Liu
2008	—	`conf`	An Improved Gene Expression Programming for Fuzzy Classification. ISICA Xiaobo Liu, Zhihua Cai, Wenyin Gong
2008	J	`jnl`	Enhancing the performance of differential evolution using orthogonal design method. Appl. Math. Comput. Wenyin Gong, Zhihua Cai, Liangxiao Jiang
2008	—	`conf`	Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute. ISICA Siwei Jiang, Zhihua Cai
2008	J	`jnl`	Using Instance cloning to Improve Naive Bayes for Ranking. Int. J. Pattern Recognit. Artif. Intell. Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang
2008	C	`conf`	Using Support Vector Regression for Classification. ADMA Bo Huang, Zhihua Cai, Qiong Gu, Changjun Chen
2007	C	`conf`	A Novel Differential Evolution Algorithm Based on EMO Zhihua Cai, Wenyin Gong, Yongqin Huang
2007	—	`conf`	A Sorting Based Algorithm for Finding a Non-dominated Set in Multi-objective Optimization. ICNC (4) Jun Du, Zhihua Cai, Yunliang Chen
2007	—	`conf`	Cost-Sensitive Decision Trees with Pre-pruning. Canadian AI Jun Du, Zhihua Cai, Charles X. Ling
2007	—	`conf`	K-Distributions: A New Algorithm for Clustering Categorical Data. ICIC (2) Zhihua Cai, Dianhong Wang, Liangxiao Jiang
2007	B	`conf`	Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai
2007	—	`conf`	Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. ICIC (2) Liangxiao Jiang, Dianhong Wang, Zhihua Cai
2007	—	`conf`	Survey of Improving K-Nearest-Neighbor for Classification. FSKD (1) Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Siwei Jiang
2007	C	`conf`	Survey of Improving Naive Bayes for Classification. ADMA Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan
2006	—	`conf`	A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming. IEEE ICCI Wenyin Gong, Zhihua Cai, Xinwei Lu, Siwei Jiang
2006	—	`conf`	A Novel One-dependence Estimator Based on Multi-parents. ISDA (1) Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang
2006	—	`conf`	Augmented Naive Bayes Based on Evolutional Strategy. ISDA (1) Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang
2006	—	`conf`	Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. FSKD Liangxiao Jiang, Harry Zhang, Zhihua Cai
2006	—	`conf`	ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. Australian Conference on Artificial Intelligence Wenyin Gong, Zhihua Cai, Charles X. Ling
2006	—	`conf`	Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic. IIP Jun Wang, Li Zhu, Zhihua Cai, Wenyin Gong, Xinwei Lu
2005	B	`conf`	Learning Tree Augmented Naive Bayes for Ranking. DASFAA Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
2005	C	`conf`	One Dependence Augmented Naive Bayes. ADMA Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su