One Dependence Augmented Naive Bayes. - Liangxiao Jiang; Harry Zhang; Zhihua Cai; Jiang Su (ADMA, 2005)

Learning Tree Augmented Naive Bayes for Ranking. - Liangxiao Jiang; Harry Zhang; Zhihua Cai; Jiang Su (DASFAA, 2005)

A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming. - Wenyin Gong; Zhihua Cai; Xinwei Lu; Siwei Jiang (IEEE ICCI, 2006)

ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. - Wenyin Gong; Zhihua Cai; Charles X. Ling (Australian Conference on Artificial Intelligence, 2006)

Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. - Liangxiao Jiang; Harry Zhang; Zhihua Cai (FSKD, 2006)

Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic. - Jun Wang 019; Li Zhu; Zhihua Cai; Wenyin Gong; Xinwei Lu (IIP, 2006)

Augmented Naive Bayes Based on Evolutional Strategy. - Dan Zeng; Sifa Zhang; Zhihua Cai; Siwei Jiang; Liangxiao Jiang (ISDA (1), 2006)

A Novel One-dependence Estimator Based on Multi-parents. - Dan Zeng; Sifa Zhang; Zhihua Cai; Siwei Jiang; Liangxiao Jiang (ISDA (1), 2006)

Survey of Improving Naive Bayes for Classification. - Liangxiao Jiang; Dianhong Wang; Zhihua Cai; Xuesong Yan 001 (ADMA, 2007)

Cost-Sensitive Decision Trees with Pre-pruning. - Jun Du 005; Zhihua Cai; Charles X. Ling (Canadian AI, 2007)

Learning Locally Weighted C4.4 for Class Probability Estimation. - Liangxiao Jiang; Harry Zhang; Dianhong Wang; Zhihua Cai (Discovery Science, 2007)

A Novel Differential Evolution Algorithm Based on epsilon -Domination and Orthogonal Design Method for Multiobjective Optimization. - Zhihua Cai; Wenyin Gong; Yongqin Huang (EMO, 2007)

Survey of Improving K-Nearest-Neighbor for Classification. - Liangxiao Jiang; Zhihua Cai; Dianhong Wang; Siwei Jiang (FSKD (1), 2007)

K-Distributions: A New Algorithm for Clustering Categorical Data. - Zhihua Cai; Dianhong Wang; Liangxiao Jiang (ICIC (2), 2007)

Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. - Liangxiao Jiang; Dianhong Wang; Zhihua Cai (ICIC (2), 2007)

A Sorting Based Algorithm for Finding a Non-dominated Set in Multi-objective Optimization. - Jun Du 005; Zhihua Cai; Yunliang Chen (ICNC (4), 2007)

Using Support Vector Regression for Classification. - Bo Huang 005; Zhihua Cai; Qiong Gu; Changjun Chen (ADMA, 2008)

A multiobjective differential evolution algorithm for constrained optimization. - Wenyin Gong; Zhihua Cai (IEEE Congress on Evolutionary Computation, 2008)

Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm. - Xuesong Yan 001; Qinghua Wu 001; Zhihua Cai (ICIC (3), 2008)

Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute. - Siwei Jiang; Zhihua Cai (ISICA, 2008)

A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression. - Jiewei Li; Zhihua Cai (ISICA, 2008)

An Improved Gene Expression Programming for Fuzzy Classification. - Xiaobo Liu 001; Zhihua Cai; Wenyin Gong (ISICA, 2008)

Enhancing the performance of differential evolution using orthogonal design method. - Wenyin Gong; Zhihua Cai; Liangxiao Jiang (Appl. Math. Comput., 2008)

Using Instance cloning to Improve Naive Bayes for Ranking. - Liangxiao Jiang; Dianhong Wang; Harry Zhang; Zhihua Cai; Bo Huang 005 (Int. J. Pattern Recognit. Artif. Intell., 2008)

A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems. - Siwei Jiang; Zhihua Cai (AICI, 2009)

Hybrid differential evolution based on fuzzy C-means clustering. - Wenyin Gong; Zhihua Cai; Charles X. Ling; Jun Du 005 (GECCO, 2009)

An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation. - Zhiqiang Du; Zhihua Cai; Leichen Chen; Huihui Deng (ISICA, 2009)

A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. - Wenyin Gong; Zhihua Cai; Charles X. Ling; Bo Huang 005 (ISICA, 2009)

Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap. - Qiong Gu; Zhihua Cai; Li Zhu (ISICA, 2009)

A New Differential Evolution for Multiobjective Optimization by Uniform Design and Minimum Reduce Hypervolume. - Siwei Jiang; Zhihua Cai (IWNC, 2009)

An improved multiobjective differential evolution based on Pareto-adaptive epsilon-dominance and orthogonal design. - Wenyin Gong; Zhihua Cai (Eur. J. Oper. Res., 2009)

Decision Tree with Better Class Probability Estimation. - Liangxiao Jiang; Chaoqun Li 001; Zhihua Cai (Int. J. Pattern Recognit. Artif. Intell., 2009)

Learning decision tree for ranking. - Liangxiao Jiang; Chaoqun Li 001; Zhihua Cai (Knowl. Inf. Syst., 2009)

A Novel Bayes Model: Hidden Naive Bayes. - Liangxiao Jiang; Harry Zhang; Zhihua Cai (IEEE Trans. Knowl. Data Eng., 2009)

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 (GECCO (Companion), 2010)

Adaptive strategy selection in differential evolution. - Wenyin Gong; Álvaro Fialho; Zhihua Cai (GECCO, 2010)

Feature Synthesis Algorithm Combined with k-NN Classifier for Spectral Data Classification. - Zhenbang Hu; Zhihua Cai (ISICA (2), 2010)

Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonal and Uniform Design. - Siwei Jiang; Zhihua Cai (ISICA (1), 2010)

Differential Evolution Based Band Selection in Hyperspectral Data Classification. - Xiaobo Liu 001; Chao Yu; Zhihua Cai (ISICA (1), 2010)

Self-adapting Differential Evolution Algorithm with Chaos Random for Global Numerical Optimization. - Ming Yang 003; Jing Guan; Zhihua Cai; Lu Wang (ISICA (1), 2010)

A New DEBP Algorithm and Its Application for Hematite Content Prediction. - Chao Yu; Zhihua Cai; Zhechao Gao; Huaming Zhong (ISICA (2), 2010)

A Novel Differential Evolution-Clustering Hybrid Resampling Algorithm on Imbalanced Datasets. - Leichen Chen; Zhihua Cai; Lu Chen; Qiong Gu (WKDD, 2010)

A real-coded biogeography-based optimization with mutation. - Wenyin Gong; Zhihua Cai; Charles X. Ling; Hui Li (Appl. Math. Comput., 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 novel hybrid biogeography-based optimization with differential mutation. - Yang Wang; Zhihua Cai (EMEIT, 2011)

Adaptive parameter selection for strategy adaptation in differential evolution. - Wenyin Gong; Zhihua Cai (GECCO (Companion), 2011)

Differential evolution with improved population reduction. - Ming Yang 003; Zhihua Cai; Jing Guan; Wenyin Gong (GECCO (Companion), 2011)

Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. - Siwei Jiang; Zhihua Cai; Jie Zhang 002; Yew-Soon Ong (ICNC, 2011)

A clustering-based differential evolution for global optimization. - Zhihua Cai; Wenyin Gong; Charles X. Ling; Harry Zhang (Appl. Soft Comput., 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)

Adaptive strategy selection in differential evolution for numerical optimization: An empirical study. - Wenyin Gong; Álvaro Fialho; Zhihua Cai; Hui Li (Inf. Sci., 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)

An empirical study on differential evolution for optimal power allocation in WSNs. - Wenyin Gong; Zhihua Cai (ICNC, 2012)

A Tri-training Based Transfer Learning Algorithm. - Xiaobo Liu 001; Harry Zhang; Zhihua Cai; Guangjun Wang (ICTAI, 2012)

Not so greedy: Randomly Selected Naive Bayes. - Liangxiao Jiang; Zhihua Cai; Harry Zhang; Dianhong Wang (Expert Syst. Appl., 2012)

Discriminatively Weighted Naive Bayes and its Application in Text Classification. - Liangxiao Jiang; Dianhong Wang; Zhihua Cai (Int. J. Artif. Intell. Tools, 2012)

Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification. - Jia Wu 001; Zhihua Cai; Shuang Ao (Int. J. Comput. Appl. Technol., 2012)

Adaptive Parameter Selection for Strategy Adaptation in Differential Evolution for Continuous Optimization. - Wenyin Gong; Zhihua Cai (J. Comput., 2012)

Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. - Jia Wu 001; Zhihua Cai; Xiaolin Chen; Shuang Ao; Yongshan Zhang (J. Comput., 2012)

Weighted average of one-dependence estimators†. - Liangxiao Jiang; Harry Zhang; Zhihua Cai; Dianhong Wang (J. Exp. Theor. Artif. Intell., 2012)

Improving Tree augmented Naive Bayes for class probability estimation. - Liangxiao Jiang; Zhihua Cai; Dianhong Wang; Harry Zhang (Knowl. Based Syst., 2012)

An improved adaptive differential evolution algorithm with population adaptation. - Ming Yang 003; Zhihua Cai; Changhe Li; Jing Guan (GECCO, 2013)

Multi-instance Multi-graph Dual Embedding Learning. - Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang; Zhihua Cai (ICDM, 2013)

Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. - Liangxiao Jiang; Chaoqun Li 001; Zhihua Cai; Harry Zhang (ICTAI, 2013)

Self-adaptive probability estimation for Naive Bayes classification. - Jia Wu 001; Zhihua Cai; Xingquan Zhu 001 (IJCNN, 2013)

Artificial immune system for attribute weighted Naive Bayes classification. - Jia Wu 001; Zhihua Cai; Sanyou Zeng; Xingquan Zhu 001 (IJCNN, 2013)

Active AODE learning based on a novel sampling strategy and its application. - Jia Wu 001; Zhihua Cai; Xiaolin Chen; Shuang Ao (Int. J. Comput. Appl. Technol., 2013)

Boosting for superparent-one-dependence estimators. - Jia Wu 001; Zhihua Cai (Int. J. Comput. Sci. Math., 2013)

Naive Bayes text classifiers: a locally weighted learning approach. - Liangxiao Jiang; Zhihua Cai; Harry Zhang; Dianhong Wang (J. Exp. Theor. Artif. Intell., 2013)

Weighted Clone Selection Algorithm based on Rough Set Theory. - Jia Wu 001; Zhihua Cai; Xiaolin Chen; Meng Li; Bin Guo 001 (J. Softw., 2013)

Differential Evolution With Ranking-Based Mutation Operators. - Wenyin Gong; Zhihua Cai (IEEE Trans. Cybern., 2013)

Dimensionally Reduction: An Experimental Study. - Xin Song; Zhihua Cai; Wei Xu 008 (ADMA, 2014)

A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system. - Yu Dan Huo; Zhihua Cai; Wenyin Gong; Qin Liu (IEEE Congress on Evolutionary Computation, 2014)

An improved JADE algorithm for global optimization. - Ming Yang 003; Zhihua Cai; Changhe Li; Jing Guan (IEEE Congress on Evolutionary Computation, 2014)

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (CIKM, 2014)

The parameter optimization of kalman filter based on multi-objective memetic algorithm. - Yu Dan Huo; Zhihua Cai; Wenyin Gong; Qin Liu (GECCO, 2014)

A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. - Ming Yang 003; Jing Guan; Zhihua Cai; Changhe Li (GECCO (Companion), 2014)

Multi-graph-view Learning for Graph Classification. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (ICDM, 2014)

An Adaptive Strategy to Adjust the Components of Memetic Algorithms. - Jin Xu; Zhihua Cai; Wenyin Gong (ICTAI, 2014)

Attribute weighting: How and when does it work for Bayesian Network Classification. - Jia Wu 001; Zhihua Cai; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang (IJCNN, 2014)

Dual instance and attribute weighting for Naive Bayes classification. - Jia Wu 001; Shirui Pan; Zhihua Cai; Xingquan Zhu 001; Chengqi Zhang (IJCNN, 2014)

Gaussian Processes Autoencoder for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xia Hong 001; Zhihua Cai (PAKDD (2), 2014)

Multi-Instance Learning from Positive and Unlabeled Bags. - Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang; Zhihua Cai (PAKDD (1), 2014)

Multi-Graph Learning with Positive and Unlabeled Bags. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang; Zhihua Cai (SDM, 2014)

Repairing the crossover rate in adaptive differential evolution. - Wenyin Gong; Zhihua Cai; Yang Wang (Appl. Soft Comput., 2014)

Parameter optimization of PEMFC model with improved multi-strategy adaptive differential evolution. - Wenyin Gong; Zhihua Cai (Eng. Appl. Artif. Intell., 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)

Robust and efficient password authenticated key agreement with user anonymity for session initiation protocol-based communications. - Liping Zhang 003; Shanyu Tang; Zhihua Cai (IET Commun., 2014)

Efficient and flexible password authenticated key agreement for Voice over Internet Protocol Session Initiation Protocol using smart card. - Liping Zhang 003; Shanyu Tang; Zhihua Cai (Int. J. Commun. Syst., 2014)

Learning attribute weighted AODE for ROC area ranking. - Jia Wu 001; Zhihua Cai (Int. J. Inf. Commun. Technol., 2014)

A Novel Distance Function: frequency difference Metric. - Liangxiao Jiang; Chaoqun Li 001; Harry Zhang; Zhihua Cai (Int. J. Pattern Recognit. Artif. Intell., 2014)

A naive Bayes probability estimation model based on self-adaptive differential evolution. - Jia Wu 001; Zhihua Cai (J. Intell. Inf. Syst., 2014)

An Improved Character Segmentation Algorithm Based on Local Adaptive Thresholding Technique for Chinese NvShu Documents. - Yangguang Sun; Zhihua Cai (J. Networks, 2014)

Bayesian Citation-KNN with distance weighting. - Liangxiao Jiang; Zhihua Cai; Dianhong Wang; Harry Zhang (Int. J. Mach. Learn. Cybern., 2014)

Cryptanalysis and improvement of password-authenticated key agreement for session initiation protocol using smart cards. - Liping Zhang 003; Shanyu Tang; Zhihua Cai (Secur. Commun. Networks, 2014)

Modelling Class Noise with Symmetric and Asymmetric Distributions. - Jun Du 005; Zhihua Cai (AAAI, 2015)

Multi-Graph-View Learning for Complicated Object Classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (IJCAI, 2015)

A memetic algorithm based extreme learning machine for classification. - Yongshan Zhang; Zhihua Cai; Jia Wu 001; Xinxin Wang 003; Xiaobo Liu 001 (IJCNN, 2015)

Self-adaptive attribute weighting for Naive Bayes classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Peng Zhang 001; Chengqi Zhang (Expert Syst. Appl., 2015)

Ensemble of different improvements in differential evolution for parameter extraction of PEMFC model. - Wenyin Gong; Zhihua Cai; Jun Du 005 (Int. J. Comput. Appl. Technol., 2015)

Locally Weighted Learning: How and When Does it Work in Bayesian Networks? - Jia Wu 001; Bi Wu; Shirui Pan; Haishuai Wang; Zhihua Cai (Int. J. Comput. Intell. Syst., 2015)

A MultiBoosting Based Transfer Learning Algorithm. - Xiaobo Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization. - Wenyin Gong; Zhihua Cai; Dingwen Liang (IEEE Trans. Cybern., 2015)

Boosting for Multi-Graph Classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Zhihua Cai (IEEE Trans. Cybern., 2015)

Differential Evolution With Auto-Enhanced Population Diversity. - Ming Yang 003; Changhe Li; Zhihua Cai; Jing Guan (IEEE Trans. Cybern., 2015)

A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization. - Wenyin Gong; Aimin Zhou; Zhihua Cai (IEEE Trans. Evol. Comput., 2015)

Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. - Siwei Jiang; Liang Feng 001; Dazhi Yang; Chen Kim Heng; Yew-Soon Ong; Nengsheng Allan Zhang; Puay Siew Tan; Zhihua Cai (CEC, 2016)

Classification guided differential evolution. - Shiyan Shen; Wenyin Gong; Zhihua Cai (CEC, 2016)

Multiple-Instance Learning with Evolutionary Instance Selection. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Peng Zhang 001; Zhihua Cai (DASFAA (1), 2016)

Hyperspectral image classification using set-to-set distance. - Junjun Jiang; Chen Chen 001; Xin Song; Zhihua Cai (ICASSP, 2016)

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. - Xinwei Jiang; Xin Song; Junbin Gao; Zhihua Cai; Dongmei Zhang 006 (IJCNN, 2016)

Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation. - Junjun Jiang; Chen Chen 001; Kebin Huang; Zhihua Cai; Ruimin Hu (Inf. Sci., 2016)

Bagging based ensemble transfer learning. - Xiaobo Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (J. Ambient Intell. Humaniz. Comput., 2016)

Multi-graph-view subgraph mining for graph classification. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (Knowl. Inf. Syst., 2016)

Memetic Extreme Learning Machine. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Peng Zhang 001; Ling Chen 006 (Pattern Recognit., 2016)

CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. - Junjun Jiang; Ruimin Hu; Zhongyuan Wang 001; Zhihua Cai (Signal Process., 2016)

Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution. - Yanan Li; Wenyin Gong; Zhihua Cai (ACALCI, 2017)

Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. - Yaoming Cai; Xiaobo Liu 001; Yu Wu; Peng Hu 001; Ruilin Wang; Bi Wu; Zhihua Cai (BIC-TA, 2017)

Pre-trained Extreme Learning Machine. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Siwei Jiang (ICONIP (5), 2017)

A weighted-resampling based transfer learning algorithm. - Xiaobo Liu 001; Zhentao Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (IJCNN, 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)

Instance cloned extreme learning machine. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Zhihua Cai (Pattern Recognit., 2017)

A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems. - Wenyin Gong; Yong Wang 002; Zhihua Cai; Shengxiang Yang (IEEE Trans. Evol. Comput., 2017)

Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. - Ming Yang 003; Mohammad Nabi Omidvar; Changhe Li; Xiaodong Li 001; Zhihua Cai; Borhan Kazimipour; Xin Yao 001 (IEEE Trans. Evol. Comput., 2017)

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. - Yaoming Cai; Zhihua Cai; Meng Zeng; Xiaobo Liu 001; Jia Wu 001; Guangjun Wang (IJCNN, 2018)

Functional Locality Preserving Projection for Dimensionality Reduction. - Xin Song; Xinwei Jiang; Junbin Gao; Zhihua Cai; Xia Hong 001 (IJCNN, 2018)

Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. - Bi Wu; Zhihua Cai; Xiaobo Liu 001 (IJCNN, 2018)

Shared Deep Kernel Learning for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xiaobo Liu 001; Zhihua Cai; Dongmei Zhang 006; Yuanxing Liu 002 (PAKDD (3), 2018)

Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing. - Chen Qiu 005; Liangxiao Jiang; Zhihua Cai (PRICAI, 2018)

Ensemble Transfer Learning Algorithm. - Xiaobo Liu 001; Zhentao Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (IEEE Access, 2018)

A multiobjective optimization-based sparse extreme learning machine algorithm. - Yu Wu; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai; Yaoming Cai (Neurocomputing, 2018)

Hierarchical ensemble of Extreme Learning Machine. - Yaoming Cai; Xiaobo Liu 001; Yongshan Zhang; Zhihua Cai (Pattern Recognit. Lett., 2018)

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. - Zhikun Chen; Junjun Jiang; Xinwei Jiang; Xiaoping Fang; Zhihua Cai (Sensors, 2018)

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. - Junjun Jiang; Jiayi Ma 001; Chen Chen 001; Zhongyuan Wang 001; Zhihua Cai; Lizhe Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems. - Zuowen Liao; Wenyin Gong; Zhihua Cai (BIC-TA (1), 2019)

Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. - Zuowen Liao; Wenyin Gong; Zhihua Cai; Ling Wang 001; Yong Wang 002 (CEC, 2019)

Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. - Meng Zeng; Yaoming Cai; Xiaobo Liu 001; Zhihua Cai; Xiang Li 070 (IGARSS, 2019)

Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. - Yaoming Cai; Zhimin Dong; Zhihua Cai; Xiaobo Liu 001; Guangjun Wang (WHISPERS, 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)

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. - Jia Wu 001; Shirui Pan; Junjun Jiang; Zhihua Cai; Bo Du 001; Yingjie Tian 001; Shuaiqiang Wang; Haishuai Wang (IEEE Access, 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)

Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. - Peng Hu 001; Xiaobo Liu 001; Yaoming Cai; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2019)

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. - Meng Zeng; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Peng Hu 001; Junhua Ku (IEEE Geosci. Remote. Sens. Lett., 2019)

An unsupervised parameter learning model for RVFL neural network. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Bo Du 001; Philip S. Yu (Neural Networks, 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)

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. - Xin Song; Xinwei Jiang; Junbin Gao; Zhihua Cai (Remote. Sens., 2019)

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. - Yongshan Zhang; Xinwei Jiang; Xinxin Wang 003; Zhihua Cai (Remote. Sens., 2019)

Deep Multigrained Cascade Forest for Hyperspectral Image Classification. - Xiaobo Liu 001; Ruilin Wang; Zhihua Cai; Yaoming Cai; Xu Yin (IEEE Trans. Geosci. Remote. Sens., 2019)

Multi-View Fusion with Extreme Learning Machine for Clustering. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Zhihua Cai; Jian Yang 001; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2019)

Application of Roadway Deformation Detection Method Based on Machine Vision for Underground Patrol Robot. - Minghui Zhao; Zhihua Cai; Dongbo Wang; Sai Ma; Liyun Zhong (CRC, 2020)

Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. - Chaochao Zhang; Xiaobo Liu 001; Guangjun Wang; Zhihua Cai (IGARSS, 2020)

Graph Convolutional Extreme Learning Machine. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Xiaobo Liu 001; Zhihua Cai (IJCNN, 2020)

Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation. - Xiaobo Liu 001; Yulin Qiao; Yonghua Xiong; Zhihua Cai; Peng Liu (Sci. China Inf. Sci., 2020)

Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. - Xiaobo Liu 001; Xu Yin; Yaoming Cai; Min Wang; Zhihua Cai; Bo Huang 005 (IEEE Geosci. Remote. Sens. Lett., 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)

Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Xiaobo Liu 001; Zhihua Cai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. - Xiaobo Liu 001; Qiubo Hu; Yaoming Cai; Zhihua Cai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. - Yaoming Cai; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2020)

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Philip S. Yu (IEEE Trans. Multim., 2020)

Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution. - Wenyin Gong; Yong Wang 002; Zhihua Cai; Ling Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification. - Xiaobo Liu 001; Mostofa Zaman Mohammad; Chaochao Zhang; Xin Gong; Zhihua Cai (BIC-TA (2), 2021)

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Yaoming Cai; Yan Liu; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001 (CIKM Workshops, 2021)

Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. - Yongshan Zhang; Xinxin Wang 003; Zhihua Cai; Yicong Zhou; Philip S. Yu (ICME, 2021)

Research on Vibration Characteristics of Parametric Shell Structure. - Minghui Zhao; Dongxin Zhao; Zhihua Cai; Qijun Chen (ISCID, 2021)

Small Target Detection Based on Squared Cross Entropy and Dense Feature Pyramid Networks. - Yanyun Zhang; Guanyu Chen; Zhihua Cai (IEEE Access, 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)

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010; Pedram Ghamisi (CoRR, 2021)

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Yaoming Cai; Zijia Zhang 001; Yan Liu; Pedram Ghamisi; Kun Li; Xiaobo Liu 001; Zhihua Cai (CoRR, 2021)

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. - Yaoming Cai; Meng Zeng; Zhihua Cai; Xiaobo Liu 001; Zijia Zhang 001 (Inf. Sci., 2021)

Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. - Zhimin Dong; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Zhaoyu Yang; Mingchen Zhuge (IEEE Geosci. Remote. Sens. Lett., 2021)

Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification. - Xiaobo Liu 001; Chaochao Zhang; Zhihua Cai; Jianfeng Yang; Zhilang Zhou; Xin Gong (Remote. Sens., 2021)

Nonlocal Band Attention Network for Hyperspectral Image Band Selection. - Tiancong Li; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Qiubo Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Global-Local Attentive Relation Detection Model for Knowledge-Based Question Answering. - Chen Qiu 005; Guangyou Zhou; Zhihua Cai; Anders Søgaard (IEEE Trans. Artif. Intell., 2021)

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang; Qin Yan (IEEE Trans. Geosci. Remote. Sens., 2021)

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. - Qin Yan; Xinwei Jiang; Yongshan Zhang; Zhihua Cai (IGARSS, 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)

CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. - Ming Yang 003; Aimin Zhou; Xiaofen Lu; Zhihua Cai; Changhe Li; Jing Guan (Expert Syst. Appl., 2022)

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain. - Qiubo Hu; Wenxiang Xu; Xiaobo Liu 001; Zhihua Cai; Junjie Cai (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 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. - Tiancong Li; Yaoming Cai; Yongshan Zhang; Zhihua Cai; Xiaobo Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. - Xinxin Wang 003; Zhenyu Wang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (Multim. Tools Appl., 2022)

CubeNet: X-shape connection for camouflaged object detection. - Mingchen Zhuge; Xiankai Lu; Yiyou Guo; Zhihua Cai; Shuhan Chen (Pattern Recognit., 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)

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Yao Ding 010; Xiaobo Liu 001; Zhihua Cai; Richard Gloaguen (IEEE Trans. Geosci. Remote. Sens., 2022)

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. - Xiaobo Liu 001; Xin Gong; Antonio Plaza; Zhihua Cai; Xiao Xiao; Xinwei Jiang; Xiang Li 070 (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. - Xin Zhang; Xinwei Jiang; Junjun Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2022)

Structured-Anchor Projected Clustering for Hyperspectral Images. - Guozhu Jiang; Jie Zhang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (ICASSP, 2023)

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. - Yuyun Lian; Yongshan Zhang; Xuxiang Feng; Xinwei Jiang; Zhihua Cai (ICASSP, 2023)

Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. - Jianwen Qi; Jie Zhang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (ICASSP, 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)

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)

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)

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)

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. - Pengyu Lu; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai; Junjun Jiang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010 (ACM Trans. Intell. Syst. Technol., 2023)

Transformer-based contrastive prototypical clustering for multimodal remote sensing data. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Behnood Rasti; Xiaobo Liu 001; Zhihua Cai (Inf. Sci., 2023)

Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. - Yongshan Zhang; Shuaikang Yan; Xinwei Jiang; Lefei Zhang; Zhihua Cai; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 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)

Superpixelwise PCA based data augmentation for hyperspectral image classification. - Shang Gao; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Qianjin Xiong; Zhihua Cai (Multim. Tools Appl., 2024)

Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection. - Yongshan Zhang; Jianwen Qi; Xinxin Wang 003; Zhihua Cai; Jiangtao Peng; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection. - Ziyang Ma; Yongshan Zhang; Yuyun Lian; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2025)

Dual-Branch Convolution-Transformer Network With Spectral-Spatial Attention for Hyperspectral Image Classification. - Yao Lu; Yongshan Zhang; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2025)

Superpixel Prior Cluster-Level Contrastive Clustering Network for Large-Scale Urban Hyperspectral Images and Vehicle Detection. - Tiancong Li; Yaoming Cai; Yongshan Zhang; Zhihua Cai; Guozhu Jiang; Xiaobo Liu 001 (IEEE Trans. Veh. Technol., 2025)