Classification of aerial photograph using neural network. - Min Han 001; Lei Cheng; Hua Meng (SMC, 2002)

Application of four-layer neural network on information extraction. - Min Han 001; Lei Cheng; Hua Meng (Neural Networks, 2003)

An improved fuzzy ARTMAP network and its application in wetland classification. - Min Han 001; Xiaoliang Tang; Lei Cheng (IGARSS, 2004)

Modeling Dynamic System by Recurrent Neural Network with State Variables. - Min Han 001; Zhiwei Shi; Wei Wang (ISNN (2), 2004)

Efficient clustering of radial basis perceptron neural network for pattern recognition. - Min Han 001; Jianhui Xi (Pattern Recognit., 2004)

Prediction of chaotic time series based on the recurrent predictor neural network. - Min Han 001; Jianhui Xi; Shiguo Xu; Fu-Liang Yin (IEEE Trans. Signal Process., 2004)

Predictive control based on feedforward neural network for strong nonlinear system. - Min Han 001; Wei Guo; Jincheng Wang (IJCNN, 2005)

Analyzing the state space property of echo state networks for chaotic system prediction. - Jianhui Xi; Zhiwei Shi; Min Han 001 (IJCNN, 2005)

Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks. - Min Han 001; Mingming Fan 002; Jianhui Xi (ISNN (2), 2005)

A Systematic Chaotic Noise Reduction Method Combining with Neural Network. - Min Han 001; Yuhua Liu; Jianhui Xi; Zhiwei Shi (ISNN (2), 2005)

Generalized predictive controller based on RBF neural network for a class of nonlinear system. - Wei Guo; Min Han 001 (ACC, 2006)

Application of neural networks on multivariate time series modeling and prediction. - Min Han 001; Mingming Fan 002 (ACC, 2006)

Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network. - Min Han 001; Wei Guo; Mingming Fan 002 (ISNN (2), 2006)

Predictive Control Method of Improved Double-Controller Scheme Based on Neural Networks. - Bing Han 009; Min Han 001 (ISNN (2), 2006)

Reduction of the Multivariate Input Dimension Using Principal Component Analysis. - Jianhui Xi; Min Han 001 (PRICAI, 2006)

Multivariate Time Series Prediction by Neural Network Combining SVD. - Min Han 001; Mingming Fan 002 (SMC, 2006)

Universal learning network and its application for nonlinear system with long time delay. - Min Han 001; Bing Han 009; Jianhui Xi; Kotaro Hirasawa (Comput. Chem. Eng., 2006)

Tikhonov-type regularization in local model for noisy chaotic time series prediction. - Zhiwei Shi; Min Han 001 (CDC, 2007)

Variable Selection for Multivariate Time Series Prediction with Neural Networks. - Min Han 001; Ru Wei (ICONIP (1), 2007)

A Modified RBF Neural Network in Pattern Recognition. - Min Han 001; Wei Guo; Yunfeng Mu (IJCNN, 2007)

Orthogonal Least Squares Based on QR Decomposition for Wavelet Networks. - Min Han 001; Jia Yin (ISNN (2), 2007)

BitTableFI: An efficient mining frequent itemsets algorithm. - Jie Dong; Min Han 001 (Knowl. Based Syst., 2007)

Noise Smoothing for Nonlinear Time Series Using Wavelet Soft Threshold. - Min Han 001; Yuhua Liu; Jianhui Xi; Wei Guo (IEEE Signal Process. Lett., 2007)

Support Vector Echo-State Machine for Chaotic Time-Series Prediction. - Zhiwei Shi; Min Han 001 (IEEE Trans. Neural Networks, 2007)

Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis. - Min Han 001; Ru Wei; Decai Li (IJCNN, 2008)

An improved fuzzy neural network based on T-S model. - Min Han 001; Yannan Sun; Yingnan Fan (Expert Syst. Appl., 2008)

The hidden neurons selection of the wavelet networks using support vector machines and ridge regression. - Min Han 001; Jia Yin (Neurocomputing, 2008)

A Fast Two Stage Density Estimation Based on Extreme Learning Machine. - Decai Li; Min Han 001 (IC-AI, 2009)

An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization. - Min Han 001; Jianchao Fan; Bing Han 009 (IJCNN, 2009)

Delay Nonlinear System Predictive Control On MPSO+DNN. - Min Han 001; Jianchao Fan (SMC, 2009)

A two-step Pansharpening of ETM+ TIR image based on SFIM and neural network regression. - Min Han 001; Wei Yao (SMC, 2009)

Noise reduction method for chaotic signals based on dual-wavelet and spatial correlation. - Min Han 001; Yunxia Liu (Expert Syst. Appl., 2009)

gamma-C plane and robustness in static reservoir for nonlinear regression estimation. - Zhiwei Shi; Min Han 001 (Neurocomputing, 2009)

Partial Lanczos extreme learning machine for single-output regression problems. - Xiaoliang Tang; Min Han 001 (Neurocomputing, 2009)

Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation. - Jianchao Fan; Min Han 001; Jun Wang 002 (Pattern Recognit., 2009)

Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection. - Min Han 001; Decai Li (ISNN (1), 2010)

Probability Density Estimation Based on Nonparametric Local Kernel Regression. - Min Han 001; Zhi-ping Liang (ISNN (1), 2010)

Multi-reservoir Echo State Network with Sparse Bayesian Learning. - Min Han 001; Dayun Mu (ISNN (1), 2010)

Semi-supervised Bayesian ARTMAP. - Xiaoliang Tang; Min Han 001 (Appl. Intell., 2010)

Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction. - Xinzhe Wang; Min Han 001; Jun Wang 002 (Eng. Appl. Artif. Intell., 2010)

Case-based reasoning system based on Bayesian rough set and hierarchical mixture of experts model. - Yang Li; Min Han 001 (iCAST, 2011)

Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning. - Min Han 001; Liwen Jiang (ISNN (3), 2011)

Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine. - Min Han 001; Yao Zhao (Expert Syst. Appl., 2011)

Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy. - Min Han 001; Zhi-ping Liang; Decai Li (Neurocomputing, 2011)

A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control. - Min Han 001; Jianchao Fan; Jun Wang 002 (IEEE Trans. Neural Networks, 2011)

Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization. - Jianchao Fan; Min Han 001 (IEEE Congress on Evolutionary Computation, 2012)

Subspace Echo State Network for Multivariate Time Series Prediction. - Min Han 001; Meiling Xu (ICONIP (5), 2012)

A modified fast recursive hidden nodes selection algorithm for ELM. - Min Han 001; Xinying Wang 003 (IJCNN, 2012)

Forward Feature Selection Based on Approximate Markov Blanket. - Min Han 001; Xiaoxin Liu (ISNN (2), 2012)

Multivariate chaotic time series prediction based on Hierarchic Reservoirs. - Xinying Wang 003; Min Han 001 (SMC, 2012)

Remote sensing image classification based on neural network ensemble algorithm. - Min Han 001; Xinrong Zhu; Wei Yao (Neurocomputing, 2012)

Chaotic Time Series Prediction Based on a Novel Robust Echo State Network. - Decai Li; Min Han 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Dynamic Evolutionary Membrane Algorithm in Dynamic Environments. - Chuang Liu 002; Min Han 001 (EvoCOP, 2013)

Robust neural predictor for noisy chaotic time series prediction. - Min Han 001; Xinying Wang 003 (IJCNN, 2013)

A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble. - Min Han 001; Ben Liu (ISNN (1), 2013)

On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems. - Ning Wang 002; Min Han 001; Nuo Dong; Meng Joo Er; Gangjian Liu (ISNN (2), 2013)

Generalized Single-Hidden Layer Feedforward Networks. - Ning Wang 002; Min Han 001; Guifeng Yu; Meng Joo Er; Fanchao Meng; Shulei Sun (ISNN (1), 2013)

An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples. - Ning Wang 002; Xuming Wang; Yue Tan; Pingbo Shao; Min Han 001 (ISNN (2), 2013)

Multi Reservoir Support Vector Echo State Machine for Multivariate Time Series Prediction. - Min Han 001; Xinying Wang 003 (SMC, 2013)

Feature selection techniques with class separability for multivariate time series. - Min Han 001; Xiaoxin Liu (Neurocomputing, 2013)

Stabilization for switched stochastic neutral systems under asynchronous switching. - Jie Lian; Yanli Ge; Min Han 001 (Inf. Sci., 2013)

Shape retrieval and recognition based on fuzzy histogram. - Danchen Zheng; Min Han 001 (J. Vis. Commun. Image Represent., 2013)

Weighted support vector echo state machine for multivariate dynamic system modeling. - Min Han 001; Xinying Wang 003 (ACC, 2014)

New delay-dependent stability criteria for networks with time-varying delays. - Bin Yang 018; Lei Wang; Chenxin Fan; Min Han 001 (ACC, 2014)

Adaptive robust tracking control of surface vessels using dynamic constructive fuzzy neural networks. - Ning Wang 002; Bijun Dai; Yancheng Liu; Min Han 001 (FUZZ-IEEE, 2014)

Robust structure selection of radial basis function networks for nonlinear system identification. - Pan Qin; Min Han 001 (IJCNN, 2014)

Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks. - Ning Wang 002; Nuo Dong; Min Han 001 (IJCNN, 2014)

Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances. - Ning Wang 002; Bijun Dai; Yancheng Liu; Min Han 001 (IJCNN, 2014)

Multivariate time series prediction based on multiple kernel extreme learning machine. - Xinying Wang 003; Min Han 001 (IJCNN, 2014)

Human Action Recognition Based on Difference Silhouette and Static Reservoir. - Danchen Zheng; Min Han 001 (ISNN, 2014)

Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine. - Min Han 001; Chuang Liu 002 (Appl. Soft Comput., 2014)

Online sequential extreme learning machine with kernels for nonstationary time series prediction. - Xinying Wang 003; Min Han 001 (Neurocomputing, 2014)

Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification. - Ning Wang 002; Min Han 001; Nuo Dong; Meng Joo Er (Neurocomputing, 2014)

An evolutionary membrane algorithm for global numerical optimization problems. - Min Han 001; Chuang Liu 002; Jun Xing (Inf. Sci., 2014)

Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods. - Jianchao Fan; Jun Wang 002; Min Han 001 (IEEE Trans. Fuzzy Syst., 2014)

Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares. - Ning Wang 002; Meng Joo Er; Min Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Joint-classification change detection based on improved fuzzy ARTMAP. - Min Han 001; Yang Zhou (IGARSS, 2015)

Image reconstruction via statistical classification for magnetic induction tomography. - Yuyan Xue; Min Han 001 (IJCNN, 2015)

Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation. - Min Han 001; Yamei Zhang (ISNN, 2015)

Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm. - Sunan Ge; Jie Han; Min Han 001 (Circuits Syst. Signal Process., 2015)

Joint mutual information-based input variable selection for multivariate time series modeling. - Min Han 001; Weijie Ren; Xiaoxin Liu (Eng. Appl. Artif. Intell., 2015)

Improved extreme learning machine for multivariate time series online sequential prediction. - Xinying Wang 003; Min Han 001 (Eng. Appl. Artif. Intell., 2015)

An improved case-based reasoning method and its application in endpoint prediction of basic oxygen furnace. - Min Han 001; Zhanji Cao (Neurocomputing, 2015)

Ensemble of extreme learning machine for remote sensing image classification. - Min Han 001; Ben Liu (Neurocomputing, 2015)

Global mutual information-based feature selection approach using single-objective and multi-objective optimization. - Min Han 001; Weijie Ren (Neurocomputing, 2015)

Online multivariate time series prediction using SCKF-γESN model. - Min Han 001; Meiling Xu; Xiaoxin Liu; Xinying Wang 003 (Neurocomputing, 2015)

Predicting Multivariate Time Series Using Subspace Echo State Network. - Min Han 001; Meiling Xu (Neural Process. Lett., 2015)

Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks. - Ning Wang 002; Meng Joo Er; Min Han 001 (IEEE Trans. Cybern., 2015)

Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks. - Ning Wang 002; Meng Joo Er; Min Han 001 (IEEE Trans. Fuzzy Syst., 2015)

Generalized Single-Hidden Layer Feedforward Networks for Regression Problems. - Ning Wang 002; Meng Joo Er; Min Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Finite-time projective synchronization control of uncertain complex networks with brushless DC motor and Rikitake system. - Meng Zhang 015; Min Han 001 (ICACI, 2016)

L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction. - Meiling Xu; Min Han 001; Shunshoku Kanae (ICONIP (3), 2016)

Superpixel-based sparse representation classifier for hyperspectral image. - Min Han 001; Chengkun Zhang; Jun Wang 002 (IJCNN, 2016)

Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis. - Min Han 001; Chengkun Zhang; Jun Wang 002 (ISNN, 2016)

PID and neural net controller performance comparsion in UAV pitch attitude control. - Muluken Regas Eressa; Danchen Zheng; Min Han 001 (SMC, 2016)

Finite-time topology identification function projective synchronization of Cohen-Grossberg neural networks with time delays and stochastic disturbance. - Min Han 001; Yamei Zhang (SMC, 2016)

An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images. - Min Han 001; Xue Yang; Enda Jiang (Neurocomputing, 2016)

Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters. - Min Han 001; Meng Zhang 015; Yamei Zhang (Neurocomputing, 2016)

Complex function projective synchronization in drive-response complex-variable dynamical networks with coupling time delays. - Min Han 001; Yamei Zhang (J. Frankl. Inst., 2016)

Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine. - Yang Zhou; Jie Lian; Min Han 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Adaptive Elastic Echo State Network for Multivariate Time Series Prediction. - Meiling Xu; Min Han 001 (IEEE Trans. Cybern., 2016)

Event-triggered course-tracking control of marine surface vessels. - Rong Zhao; Tieshan Li; Cheng Liu 010; Philip C. L. Chen; Min Han 001 (ICCA, 2017)

Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine. - Xiaolin Cheng; Meiling Xu; Min Han 001 (ICONIP (4), 2017)

Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine. - Shoubo Feng; Meiling Xu; Min Han 001 (ICONIP (4), 2017)

Virtual Structure Formation Control via Sliding Mode Control and Neural Networks. - Qi Qin; Tieshan Li; Cheng Liu 010; C. L. Philip Chen; Min Han 001 (ISNN (2), 2017)

Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control. - Meng Zhang 015; Min Han 001 (ISNN (2), 2017)

An Emergent Backpressure Queueing Model for Internet of Things. - Ruixuan Qiao; Tie Qiu 001; Min Han 001; Jianhua Ma 002; Runhe Huang (iThings/GreenCom/CPSCom/SmartData, 2017)

Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder. - Fei Lv 003; Min Han 001; Tie Qiu 001 (IEEE Access, 2017)

A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities. - Tie Qiu 001; Jie Liu; Weisheng Si; Min Han 001; Huansheng Ning; Mohammed Atiquzzaman (IEEE Commun. Mag., 2017)

A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things. - Tie Qiu 001; Ruixuan Qiao; Min Han 001; Arun Kumar Sangaiah; Ivan Lee 001 (IEEE Commun. Mag., 2017)

SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT. - Tie Qiu 001; Xize Liu; Min Han 001; Mingchu Li; Yushuang Zhang (Comput. Networks, 2017)

Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding. - Min Han 001; Chengkun Zhang (Neurocomputing, 2017)

A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Things. - Tie Qiu 001; Xize Liu; Min Han 001; Huansheng Ning; Dapeng Oliver Wu (IEEE Internet Things J., 2017)

Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm. - Min Han 001; Ruiquan Zhang; Meiling Xu (Neural Process. Lett., 2017)

A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid. - Tie Qiu 001; Kaiyu Zheng; Houbing Song; Min Han 001; Burak Kantarci (IEEE Trans. Ind. Informatics, 2017)

Chaotic Time Series Prediction Based on Improved MOPSO-ELM. - Meiling Xu; Xin Li; Min Han 001 (ACC, 2018)

Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA. - Weijie Li; Min Han 001; Shoubo Feng (ICONIP (6), 2018)

Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. - Dazi Li; Tianjiao Kang; Jinglu Hu; Min Han 001; Qibing Jin (IJCNN, 2018)

Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter. - Shuhui Zhang 003; Min Han 001; Meiling Xu (IJCNN, 2018)

Marine Aquaculture Targets Automatic Recognition Based on GF-3 PolSAR Imagery. - Jianchao Fan; Jianhua Zhao; Min Han 001; Xinxin Wang; Bingnan Li (ISNN, 2018)

Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm. - Yu Li; Min Han 001; Bing Han 009; Xinyi Le; Shunshoku Kanae (ISNN, 2018)

Classification of Hyperspectral Remote Sensing Image Data from IoT Based on Rotation Forest and ELM with Kernel. - Fei Lv 003; Min Han 001; Tie Qiu 001 (SmartIoT, 2018)

Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery. - Deyi Wang; Jianchao Fan; Min Han 001; Ping Guo 002; Yuzhen Lu (SSCI, 2018)

Wavelet-denoising multiple echo state networks for multivariate time series prediction. - Meiling Xu; Min Han 001; Hongfei Lin (Inf. Sci., 2018)

Learning contextual dissimilarity on tensor product graph for visual re-ranking. - Danchen Zheng; Wangshu Liu; Min Han 001 (Image Vis. Comput., 2018)

Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm. - Fei Lv 003; Min Han 001 (Sensors, 2018)

A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities. - Tie Qiu 001; Kaiyu Zheng; Min Han 001; C. L. Philip Chen; Meiling Xu (IEEE Trans. Ind. Informatics, 2018)

Laplacian Echo State Network for Multivariate Time Series Prediction. - Min Han 001; Meiling Xu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability. - Ning Wang 002; Jing-Chao Sun; Min Han 001; Zhongjiu Zheng; Meng Joo Er (IEEE Trans. Neural Networks Learn. Syst., 2018)

Resilient Exponential Consensus with Time-Varying Adversary Attacks and Asynchronous Events. - Weiguo Xia; Ji Liu 001; Shuang Li; Xi-Ming Sun; Min Han 001 (CDC, 2019)

Clustering-enhanced PointCNN for Point Cloud Classification Learning. - Yikuan Yu; Fei Li; Yu Zheng 012; Min Han 001; Xinyi Le (IJCNN, 2019)

Pseudoinverse Learners: New Trend and Applications to Big Data. - Ping Guo 002; Dongbin Zhao; Min Han 001; Shoubo Feng (INNSBDDL, 2019)

PolSAR Marine Aquaculture Detection Based on Nonlocal Stacked Sparse Autoencoder. - Jianchao Fan; Xiaoxin Liu; Yuanyuan Hu; Min Han 001 (ISNN (2), 2019)

Regularization in DQN for Parameter-Varying Control Learning Tasks. - Dazi Li; Chengjia Lei; Qibing Jin; Min Han 001 (ISNN (2), 2019)

A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images. - Bin Sun; Guo-Zhong Li; Min Han 001; Qiu-Hua Lin (ISNN (2), 2019)

An Evolutional Networking Model for Three-Dimensional Topology in Internet of Things. - Songwei Zhang; Tie Qiu 001; Min Han 001; Azizur Rahim; Wenbing Zhao 001 (SMC, 2019)

Hyperspectral image classification based on multiple reduced kernel extreme learning machine. - Fei Lv 003; Min Han 001 (Int. J. Mach. Learn. Cybern., 2019)

Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective. - Shoubo Feng; Weijie Ren; Min Han 001; Yen-Wei Chen 001 (Neural Networks, 2019)

Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine. - Weijie Ren; Min Han 001 (Neural Process. Lett., 2019)

A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders. - Jianchao Fan; Kai Lin; Min Han 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series. - Min Han 001; Weijie Ren; Meiling Xu; Tie Qiu 001 (IEEE Trans. Cybern., 2019)

Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview. - Min Han 001; Kai Zhong; Tie Qiu 001; Bing Han 009 (IEEE Trans. Cybern., 2019)

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm. - Min Han 001; Shuhui Zhang 003; Meiling Xu; Tie Qiu 001; Ning Wang 002 (IEEE Trans. Cybern., 2019)

Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction. - Meiling Xu; Min Han 001; Tie Qiu 001; Hongfei Lin (IEEE Trans. Cybern., 2019)

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction. - Min Han 001; Shoubo Feng; C. L. Philip Chen; Meiling Xu; Tie Qiu 001 (IEEE Trans. Knowl. Data Eng., 2019)

UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks. - Min Han 001; Meng Zhang 015; Tie Qiu 001; Meiling Xu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction. - Meiling Xu; Yuanzhe Yang; Min Han 001; Tie Qiu 001; Hongfei Lin (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis. - Min Han 001; Ruiquan Zhang; Tie Qiu 001; Meiling Xu; Weijie Ren (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns. - Ning Wang 002; Shun-Feng Su; Min Han 001; Wen-Hua Chen 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Time-series Prediction Based on VMD and Stack Recurrent Neural Network. - Tao Jiang; Min Han 001; Jun Wang 002 (ICACI, 2020)

Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction. - Weijie Li; Min Han 001; Jun Wang 002 (ICACI, 2020)

Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting. - Xin Li; Weijie Ren; Jingying Zhao; Min Han 001 (ICACI, 2020)

Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update. - Junzhu Ma; Min Han 001; Jun Wang 002 (ICACI, 2020)

Bagging of Gaussian Process for Large Generator Eddy Current Prediction. - Jing-ying Zhao; Min Han 001; Hai Guo; Haoran Tang; Na Dong; Enming Zhao (ICACI, 2020)

Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform. - Zhiyu Lyu; Min Han 001; Decai Li (IEEE Access, 2020)

Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction. - Tianyu Shen; Weijie Ren; Min Han 001 (Eng. Appl. Artif. Intell., 2020)

Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective. - Kai Zhong; Junzhu Ma; Min Han 001 (Eng. Appl. Artif. Intell., 2020)

Data-driven based fault prognosis for industrial systems: a concise overview. - Kai Zhong; Min Han 001; Bing Han 009 (IEEE CAA J. Autom. Sinica, 2020)

Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things. - Ning Chen 008; Tie Qiu 001; Chaoxu Mu; Min Han 001; Pan Zhou 001 (IEEE Internet Things J., 2020)

A nonsubsampled countourlet transform based CNN for real image denoising. - Zhiyu Lyu; Chengkun Zhang; Min Han 001 (Signal Process. Image Commun., 2020)

Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference. - Kai Zhong; Min Han 001; Tie Qiu 001; Bing Han 009; Yen-Wei Chen 001 (IEEE Trans. Control. Syst. Technol., 2020)

Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance. - Zhouhua Peng; Dan Wang 001; Tieshan Li; Min Han 001 (IEEE Trans. Cybern., 2020)

Recurrent Broad Learning Systems for Time Series Prediction. - Meiling Xu; Min Han 001; C. L. Philip Chen; Tie Qiu 001 (IEEE Trans. Cybern., 2020)

Computer Modeling of the Eddy Current Losses of Metal Fasteners in Rotor Slots of a Large Nuclear Steam Turbine Generator Based on Finite-Element Method and Deep Gaussian Process Regression. - Jing-ying Zhao; Hai Guo; Likun Wang 002; Min Han 001 (IEEE Trans. Ind. Electron., 2020)

Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis. - Kai Zhong; Min Han 001; Tie Qiu 001; Bing Han 009 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Review on Intelligence Dehazing and Color Restoration for Underwater Images. - Min Han 001; Zhiyu Lyu; Tie Qiu 001; Meiling Xu (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Multi-Background Island Bird Detection Based on Faster R-CNN. - Jianchao Fan; Xiaoxin Liu; Xinzhe Wang; Deyi Wang; Min Han 001 (Cybern. Syst., 2021)

Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series. - Chaochao Zhao; Weijie Ren; Min Han 001 (Circuits Syst. Signal Process., 2021)

A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation. - Nannan Lu; Hanhan Xiao; Yanjing Sun; Min Han 001; Yanfen Wang (Neurocomputing, 2021)

DSTnet: a new discrete shearlet transform-based CNN model for image denoising. - Zhiyu Lyu; Chengkun Zhang; Min Han 001 (Multim. Syst., 2021)

Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm. - Weijie Ren; Yiwen Wang; Min Han 001 (Soft Comput., 2021)

Exponential Stability of Discrete-Time Neural Networks With Large Delay. - Bin Yang 018; Mengnan Hao; Min Han 001; Xudong Zhao 001; Guangdeng Zong (IEEE Trans. Cybern., 2021)

Hybrid Regularization of Diffusion Process for Visual Re-Ranking. - Danchen Zheng; Jianchao Fan; Min Han 001 (IEEE Trans. Image Process., 2021)

Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction. - Min Han 001; Weijie Li; Shoubo Feng; Tie Qiu 001; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2021)

MLFC-net: A multi-level feature combination attention model for remote sensing scene classification. - Deyi Wang; Chengkun Zhang; Min Han 001 (Comput. Geosci., 2022)

Negative Gradient Differential Biogeography-based Optimization for Mobile Robot Path Planning. - Jiaqian Wang; Xiaodong Na 002; Zhihui Li; Min Han 001; Decai Li (Int. J. Artif. Intell. Tools, 2022)

Mutual Information Variational Autoencoders and Its Application to Feature Extraction of Multivariate Time Series. - Junying Li; Weijie Ren; Min Han 001 (Int. J. Pattern Recognit. Artif. Intell., 2022)

LWCDNet: A Lightweight Fully Convolution Network for Change Detection in Optical Remote Sensing Imagery. - Min Han 001; Ran Li; Chengkun Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning. - Xiaodong Na 002; Jiaqian Wang; Min Han 001; Decai Li (Soft Comput., 2022)

A Novel Distributed Data-Driven Strategy for Fault Detection of Multi-Source Dynamic Systems. - Yi-Fang Zhang; Bing Han 009; Min Han 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction. - Shoubo Feng; Min Han 001; Jiadong Zhang; Tie Qiu 001; Weijie Ren (IEEE Trans. Cybern., 2022)

Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization. - Xiaodong Na 002; Min Han 001; Weijie Ren; Kai Zhong (IEEE Trans. Cybern., 2022)

Online Rule-Based Classifier Learning on Dynamic Unlabeled Multivariate Time Series Data. - Guoliang He; Xin Xin 010; Rong Peng; Min Han 001; Juan Wang 006; Xiaoqun Wu (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Kernel general loss algorithm based on evolving participatory learning for online time series prediction. - Min Han 001; Huijuan Xia; Weijie Ren (Eng. Appl. Artif. Intell., 2023)

Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features. - Xiaodong Na 002; Mengyuan Zhang 008; Weijie Ren; Min Han 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Joint Discriminative Adversarial Domain Adaptation for Cross-Domain Fault Diagnosis. - Kai Sun; Xinghan Xu; Nannan Lu; Huijuan Xia; Min Han 001 (IEEE Trans. Instrum. Meas., 2023)

Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm. - Weijie Ren; Dewei Ma; Min Han 001 (IEEE Trans. Ind. Informatics, 2023)

Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series. - Huijuan Xia; Weijie Ren; Min Han 001 (Circuits Syst. Signal Process., 2023)

Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems. - Xiaodong Na 002; Yuan Li; Weijie Ren; Min Han 001 (Expert Syst. Appl., 2023)

Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data. - Guoliang He; Wenjun Jiang; Rong Peng; Ming Yin 002; Min Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction. - Xiaodong Na 002; Weijie Ren; Moran Liu; Min Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dirichlet Graph Convolution Coupled Neural Differential Equation for Spatio-temporal Time Series Prediction. - Qipeng Wang; Min Han 001 (Neural Process. Lett., 2023)

Bi-stream graph learning based multimodal fusion for emotion recognition in conversation. - Nannan Lu; Zhiyuan Han; Min Han 001; Jiansheng Qian (Inf. Fusion, 2024)

Progressive Difference Amplification Network With Edge Sensitivity for Remote Sensing Image Change Detection. - Yi Liang; Xinghan Xu; Chengkun Zhang; Jianwei Liu; Deyi Wang; Min Han 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

RaSRNet: An End-to-End Relation-Aware Semantic Reasoning Network for Change Detection in Optical Remote Sensing Images. - Yi Liang; Chengkun Zhang; Min Han 001 (IEEE Trans. Instrum. Meas., 2024)

A time series continuous missing values imputation method based on generative adversarial networks. - Yunsheng Wang; Xinghan Xu; Lei Hu 004; Jianchao Fan; Min Han 001 (Knowl. Based Syst., 2024)

Mechanical Fault Diagnosis With Noisy Multisource Signals via Unified Pinball Loss Intuitionistic Fuzzy Support Tensor Machine. - Yi-Fang Zhang; Bing Han 009; Min Han 001 (IEEE Trans. Ind. Informatics, 2024)

A Robust Networking Model With Quantum Evolution for Internet of Things. - Songwei Zhang; Tie Qiu 001; Ning Chen 008; Huansheng Ning; Min Han 001; Xingcheng Liu (IEEE Netw., 2024)

Hierarchical Evolving Fuzzy System: A Method for Multidimensional Chaotic Time Series Online Prediction. - Lei Hu 004; Xinghan Xu; Weijie Ren; Min Han 001 (IEEE Trans. Fuzzy Syst., 2024)

Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis. - Nannan Lu; Hanhan Xiao; Zhanguo Ma; Tong Yan; Min Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MIIPSO-EFS: Learning system with self-optimized parameters for chaotic time series online prediction. - Lei Hu 004; Xinghan Xu; Jianwei Liu; Xiaohui Yan; Min Han 001 (Knowl. Based Syst., 2025)

Deep Feature Unsupervised Domain Adaptation for Time-Series Classification. - Nannan Lu; Tong Yan; Song Zhu; Jiansheng Qian; Min Han 001 (IEEE Trans. Artif. Intell., 2025)

Double-level discriminative domain adaptation network for cross-domain fault diagnosis. - Yufeng Li; Xinghan Xu; Lei Hu 004; Kai Sun; Min Han 001 (Appl. Intell., 2025)

Causal graph convolution neural differential equation for spatio-temporal time series prediction. - Qipeng Wang; Shoubo Feng; Min Han 001 (Appl. Intell., 2025)

Adaptive Graph Convolution Neural Differential Equation for Spatio-Temporal Time Series Prediction. - Min Han 001; Qipeng Wang (IEEE Trans. Knowl. Data Eng., 2025)

Dynamic Learning Balance based on Information Bottleneck theory for alleviating modality degradation. - Nannan Lu; Zhen Tan; Min Han 001; Jiansheng Qian (Inf. Fusion, 2026)