Min Han

209 papers B 30C 13Misc 1Journal 125Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive Learning Based Collaborative Modeling of Heterogeneous Data for Few-Shot Fault Diagnosis.
IEEE Trans. Artif. Intell.
Kai Zhong, Hengchang Zhu, Xiaoming Zhang, Darong Huang, Min Han
2026 J jnl
Dynamic Learning Balance based on Information Bottleneck theory for alleviating modality degradation.
Inf. Fusion
Nannan Lu, Zhen Tan, Min Han, Jiansheng Qian
2025 J jnl
Adaptive Graph Convolution Neural Differential Equation for Spatio-Temporal Time Series Prediction.
IEEE Trans. Knowl. Data Eng.
Min Han, Qipeng Wang
2025 J jnl
Causal graph convolution neural differential equation for spatio-temporal time series prediction.
Appl. Intell.
Qipeng Wang, Shoubo Feng, Min Han
2025 J jnl
Deep Feature Unsupervised Domain Adaptation for Time-Series Classification.
IEEE Trans. Artif. Intell.
Nannan Lu, Tong Yan, Song Zhu, Jiansheng Qian, Min Han
2025 J jnl
Double-level discriminative domain adaptation network for cross-domain fault diagnosis.
Appl. Intell.
Yufeng Li, Xinghan Xu, Lei Hu, Kai Sun, Min Han
2025 J jnl
MIIPSO-EFS: Learning system with self-optimized parameters for chaotic time series online prediction.
Knowl. Based Syst.
Lei Hu, Xinghan Xu, Jianwei Liu, Xiaohui Yan, Min Han
2024 J jnl
A Robust Networking Model With Quantum Evolution for Internet of Things.
IEEE Netw.
Songwei Zhang, Tie Qiu, Ning Chen, Huansheng Ning, Min Han, Xingcheng Liu
2024 J jnl
A time series continuous missing values imputation method based on generative adversarial networks.
Knowl. Based Syst.
Yunsheng Wang, Xinghan Xu, Lei Hu, Jianchao Fan, Min Han
2024 J jnl
Bi-stream graph learning based multimodal fusion for emotion recognition in conversation.
Inf. Fusion
Nannan Lu, Zhiyuan Han, Min Han, Jiansheng Qian
2024 J jnl
Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst.
Nannan Lu, Hanhan Xiao, Zhanguo Ma, Tong Yan, Min Han
2024 J jnl
Hierarchical Evolving Fuzzy System: A Method for Multidimensional Chaotic Time Series Online Prediction.
IEEE Trans. Fuzzy Syst.
Lei Hu, Xinghan Xu, Weijie Ren, Min Han
2024 J jnl
Mechanical Fault Diagnosis With Noisy Multisource Signals via Unified Pinball Loss Intuitionistic Fuzzy Support Tensor Machine.
IEEE Trans. Ind. Informatics
Yi-Fang Zhang, Bing Han, Min Han
2024 J jnl
Progressive Difference Amplification Network With Edge Sensitivity for Remote Sensing Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yi Liang, Xinghan Xu, Chengkun Zhang, Jianwei Liu, Deyi Wang, Min Han
2024 J jnl
RaSRNet: An End-to-End Relation-Aware Semantic Reasoning Network for Change Detection in Optical Remote Sensing Images.
IEEE Trans. Instrum. Meas.
Yi Liang, Chengkun Zhang, Min Han
2023 J jnl
Dirichlet Graph Convolution Coupled Neural Differential Equation for Spatio-temporal Time Series Prediction.
Neural Process. Lett.
Qipeng Wang, Min Han
2023 J jnl
Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Xiaodong Na, Weijie Ren, Moran Liu, Min Han
2023 J jnl
Joint Discriminative Adversarial Domain Adaptation for Cross-Domain Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Kai Sun, Xinghan Xu, Nannan Lu, Huijuan Xia, Min Han
2023 J jnl
Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series.
Circuits Syst. Signal Process.
Huijuan Xia, Weijie Ren, Min Han
2023 J jnl
Kernel general loss algorithm based on evolving participatory learning for online time series prediction.
Eng. Appl. Artif. Intell.
Min Han, Huijuan Xia, Weijie Ren
2023 J jnl
Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features.
IEEE Trans. Cogn. Dev. Syst.
Xiaodong Na, Mengyuan Zhang, Weijie Ren, Min Han
2023 J jnl
Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm.
IEEE Trans. Ind. Informatics
Weijie Ren, Dewei Ma, Min Han
2023 J jnl
Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems.
Expert Syst. Appl.
Xiaodong Na, Yuan Li, Weijie Ren, Min Han
2023 J jnl
Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data.
IEEE Trans. Neural Networks Learn. Syst.
Guoliang He, Wenjun Jiang, Rong Peng, Ming Yin, Min Han
2022 J jnl
A Novel Distributed Data-Driven Strategy for Fault Detection of Multi-Source Dynamic Systems.
IEEE Trans. Circuits Syst. II Express Briefs
Yi-Fang Zhang, Bing Han, Min Han
2022 J jnl
Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning.
Soft Comput.
Xiaodong Na, Jiaqian Wang, Min Han, Decai Li
2022 J jnl
LWCDNet: A Lightweight Fully Convolution Network for Change Detection in Optical Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett.
Min Han, Ran Li, Chengkun Zhang
2022 J jnl
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction.
IEEE Trans. Cybern.
Shoubo Feng, Min Han, Jiadong Zhang, Tie Qiu, Weijie Ren
2022 J jnl
MLFC-net: A multi-level feature combination attention model for remote sensing scene classification.
Comput. Geosci.
Deyi Wang, Chengkun Zhang, Min Han
2022 J jnl
Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization.
IEEE Trans. Cybern.
Xiaodong Na, Min Han, Weijie Ren, Kai Zhong
2022 J jnl
Mutual Information Variational Autoencoders and Its Application to Feature Extraction of Multivariate Time Series.
Int. J. Pattern Recognit. Artif. Intell.
Junying Li, Weijie Ren, Min Han
2022 J jnl
Negative Gradient Differential Biogeography-based Optimization for Mobile Robot Path Planning.
Int. J. Artif. Intell. Tools
Jiaqian Wang, Xiaodong Na, Zhihui Li, Min Han, Decai Li
2022 J jnl
Online Rule-Based Classifier Learning on Dynamic Unlabeled Multivariate Time Series Data.
IEEE Trans. Syst. Man Cybern. Syst.
Guoliang He, Xin Xin, Rong Peng, Min Han, Juan Wang, Xiaoqun Wu
2021 J jnl
A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation.
Neurocomputing
Nannan Lu, Hanhan Xiao, Yanjing Sun, Min Han, Yanfen Wang
2021 J jnl
Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series.
Circuits Syst. Signal Process.
Chaochao Zhao, Weijie Ren, Min Han
2021 J jnl
DSTnet: a new discrete shearlet transform-based CNN model for image denoising.
Multim. Syst.
Zhiyu Lyu, Chengkun Zhang, Min Han
2021 J jnl
Exponential Stability of Discrete-Time Neural Networks With Large Delay.
IEEE Trans. Cybern.
Bin Yang, Mengnan Hao, Min Han, Xudong Zhao, Guangdeng Zong
2021 J jnl
Hybrid Regularization of Diffusion Process for Visual Re-Ranking.
IEEE Trans. Image Process.
Danchen Zheng, Jianchao Fan, Min Han
2021 J jnl
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Min Han, Weijie Li, Shoubo Feng, Tie Qiu, C. L. Philip Chen
2021 J jnl
Multi-Background Island Bird Detection Based on Faster R-CNN.
Cybern. Syst.
Jianchao Fan, Xiaoxin Liu, Xinzhe Wang, Deyi Wang, Min Han
2021 J jnl
Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm.
Soft Comput.
Weijie Ren, Yiwen Wang, Min Han
2020 J jnl
A Review on Intelligence Dehazing and Color Restoration for Underwater Images.
IEEE Trans. Syst. Man Cybern. Syst.
Min Han, Zhiyu Lyu, Tie Qiu, Meiling Xu
2020 J jnl
A nonsubsampled countourlet transform based CNN for real image denoising.
Signal Process. Image Commun.
Zhiyu Lyu, Chengkun Zhang, Min Han
2020 C ed.
Advances in Neural Networks - ISNN 2020 - 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4-6, 2020, Proceedings
ISNN
Min Han, Sitian Qin, Nian Zhang
2020 — conf
Bagging of Gaussian Process for Large Generator Eddy Current Prediction.
ICACI
Jing-ying Zhao, Min Han, Hai Guo, Haoran Tang, Na Dong, Enming Zhao
2020 J jnl
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.
IEEE Trans. Ind. Electron.
Jing-ying Zhao, Hai Guo, Likun Wang, Min Han
2020 J jnl
Data-driven based fault prognosis for industrial systems: a concise overview.
IEEE CAA J. Autom. Sinica
Kai Zhong, Min Han, Bing Han
2020 J jnl
Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things.
IEEE Internet Things J.
Ning Chen, Tie Qiu, Chaoxu Mu, Min Han, Pan Zhou
2020 J jnl
Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform.
IEEE Access
Zhiyu Lyu, Min Han, Decai Li
2020 J jnl
Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference.
IEEE Trans. Control. Syst. Technol.
Kai Zhong, Min Han, Tie Qiu, Bing Han, Yen-Wei Chen
2020 J jnl
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Kai Zhong, Min Han, Tie Qiu, Bing Han
2020 — conf
Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update.
ICACI
Junzhu Ma, Min Han, Jun Wang
2020 J jnl
Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective.
Eng. Appl. Artif. Intell.
Kai Zhong, Junzhu Ma, Min Han
2020 J jnl
Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance.
IEEE Trans. Cybern.
Zhouhua Peng, Dan Wang, Tieshan Li, Min Han
2020 — conf
Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting.
ICACI
Xin Li, Weijie Ren, Jingying Zhao, Min Han
2020 J jnl
Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction.
Eng. Appl. Artif. Intell.
Tianyu Shen, Weijie Ren, Min Han
2020 J jnl
Recurrent Broad Learning Systems for Time Series Prediction.
IEEE Trans. Cybern.
Meiling Xu, Min Han, C. L. Philip Chen, Tie Qiu
2020 — conf
Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction.
ICACI
Weijie Li, Min Han, Jun Wang
2020 — conf
Time-series Prediction Based on VMD and Stack Recurrent Neural Network.
ICACI
Tao Jiang, Min Han, Jun Wang
2019 — conf
A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images.
ISNN (2)
Bin Sun, Guo-Zhong Li, Min Han, Qiu-Hua Lin
2019 J jnl
A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jianchao Fan, Kai Lin, Min Han
2019 B conf
An Evolutional Networking Model for Three-Dimensional Topology in Internet of Things.
SMC
Songwei Zhang, Tie Qiu, Min Han, Azizur Rahim, Wenbing Zhao
2019 J jnl
Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns.
IEEE Trans. Syst. Man Cybern. Syst.
Ning Wang, Shun-Feng Su, Min Han, Wen-Hua Chen
2019 J jnl
Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine.
Neural Process. Lett.
Weijie Ren, Min Han
2019 B conf
Clustering-enhanced PointCNN for Point Cloud Classification Learning.
IJCNN
Yikuan Yu, Fei Li, Yu Zheng, Min Han, Xinyi Le
2019 J jnl
Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction.
IEEE Trans. Cybern.
Meiling Xu, Min Han, Tie Qiu, Hongfei Lin
2019 J jnl
Hyperspectral image classification based on multiple reduced kernel extreme learning machine.
Int. J. Mach. Learn. Cybern.
Fei Lv, Min Han
2019 J jnl
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview.
IEEE Trans. Cybern.
Min Han, Kai Zhong, Tie Qiu, Bing Han
2019 J jnl
Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm.
IEEE Trans. Cybern.
Min Han, Shuhui Zhang, Meiling Xu, Tie Qiu, Ning Wang
2019 J jnl
Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis.
IEEE Trans. Syst. Man Cybern. Syst.
Min Han, Ruiquan Zhang, Tie Qiu, Meiling Xu, Weijie Ren
2019 J jnl
Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series.
IEEE Trans. Cybern.
Min Han, Weijie Ren, Meiling Xu, Tie Qiu
2019 — conf
PolSAR Marine Aquaculture Detection Based on Nonlocal Stacked Sparse Autoencoder.
ISNN (2)
Jianchao Fan, Xiaoxin Liu, Yuanyuan Hu, Min Han
2019 — conf
Pseudoinverse Learners: New Trend and Applications to Big Data.
INNSBDDL
Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng
2019 — conf
Regularization in DQN for Parameter-Varying Control Learning Tasks.
ISNN (2)
Dazi Li, Chengjia Lei, Qibing Jin, Min Han
2019 — conf
Resilient Exponential Consensus with Time-Varying Adversary Attacks and Asynchronous Events.
CDC
Weiguo Xia, Ji Liu, Shuang Li, Xi-Ming Sun, Min Han
2019 J jnl
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective.
Neural Networks
Shoubo Feng, Weijie Ren, Min Han, Yen-Wei Chen
2019 J jnl
Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Meiling Xu, Yuanzhe Yang, Min Han, Tie Qiu, Hongfei Lin
2019 J jnl
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.
IEEE Trans. Knowl. Data Eng.
Min Han, Shoubo Feng, C. L. Philip Chen, Meiling Xu, Tie Qiu
2019 J jnl
UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks.
IEEE Trans. Neural Networks Learn. Syst.
Min Han, Meng Zhang, Tie Qiu, Meiling Xu
2018 J jnl
A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities.
IEEE Trans. Ind. Informatics
Tie Qiu, Kaiyu Zheng, Min Han, C. L. Philip Chen, Meiling Xu
2018 J jnl
Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability.
IEEE Trans. Neural Networks Learn. Syst.
Ning Wang, Jing-Chao Sun, Min Han, Zhongjiu Zheng, Meng Joo Er
2018 B conf
Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter.
IJCNN
Shuhui Zhang, Min Han, Meiling Xu
2018 C conf
Chaotic Time Series Prediction Based on Improved MOPSO-ELM.
ACC
Meiling Xu, Xin Li, Min Han
2018 — conf
Classification of Hyperspectral Remote Sensing Image Data from IoT Based on Rotation Forest and ELM with Kernel.
SmartIoT
Fei Lv, Min Han, Tie Qiu
2018 C conf
Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm.
ISNN
Yu Li, Min Han, Bing Han, Xinyi Le, Shunshoku Kanae
2018 J jnl
Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm.
Sensors
Fei Lv, Min Han
2018 J jnl
Laplacian Echo State Network for Multivariate Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Min Han, Meiling Xu
2018 J jnl
Learning contextual dissimilarity on tensor product graph for visual re-ranking.
Image Vis. Comput.
Danchen Zheng, Wangshu Liu, Min Han
2018 C conf
Marine Aquaculture Targets Automatic Recognition Based on GF-3 PolSAR Imagery.
ISNN
Jianchao Fan, Jianhua Zhao, Min Han, Xinxin Wang, Bingnan Li
2018 — conf
Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery.
SSCI
Deyi Wang, Jianchao Fan, Min Han, Ping Guo, Yuzhen Lu
2018 — conf
Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA.
ICONIP (6)
Weijie Li, Min Han, Shoubo Feng
2018 B conf
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control.
IJCNN
Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin
2018 J jnl
Wavelet-denoising multiple echo state networks for multivariate time series prediction.
Inf. Sci.
Meiling Xu, Min Han, Hongfei Lin
2017 J jnl
A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities.
IEEE Commun. Mag.
Tie Qiu, Jie Liu, Weisheng Si, Min Han, Huansheng Ning, Mohammed Atiquzzaman
2017 J jnl
A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things.
IEEE Commun. Mag.
Tie Qiu, Ruixuan Qiao, Min Han, Arun Kumar Sangaiah, Ivan Lee
2017 J jnl
A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid.
IEEE Trans. Ind. Informatics
Tie Qiu, Kaiyu Zheng, Houbing Song, Min Han, Burak Kantarci
2017 J jnl
A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Things.
IEEE Internet Things J.
Tie Qiu, Xize Liu, Min Han, Huansheng Ning, Dapeng Oliver Wu
2017 — conf
An Emergent Backpressure Queueing Model for Internet of Things.
iThings/GreenCom/CPSCom/SmartData
Ruixuan Qiao, Tie Qiu, Min Han, Jianhua Ma, Runhe Huang
2017 — conf
Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine.
ICONIP (4)
Xiaolin Cheng, Meiling Xu, Min Han
2017 — conf
Event-triggered course-tracking control of marine surface vessels.
ICCA
Rong Zhao, Tieshan Li, Cheng Liu, Philip C. L. Chen, Min Han
2017 — conf
Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control.
ISNN (2)
Meng Zhang, Min Han
2017 J jnl
Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm.
Neural Process. Lett.
Min Han, Ruiquan Zhang, Meiling Xu
2017 — conf
Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine.
ICONIP (4)
Shoubo Feng, Meiling Xu, Min Han
2017 J jnl
Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder.
IEEE Access
Fei Lv, Min Han, Tie Qiu
2017 J jnl
SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT.
Comput. Networks
Tie Qiu, Xize Liu, Min Han, Mingchu Li, Yushuang Zhang
2017 J jnl
Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding.
Neurocomputing
Min Han, Chengkun Zhang
2017 — conf
Virtual Structure Formation Control via Sliding Mode Control and Neural Networks.
ISNN (2)
Qi Qin, Tieshan Li, Cheng Liu, C. L. Philip Chen, Min Han
2016 J jnl
Adaptive Elastic Echo State Network for Multivariate Time Series Prediction.
IEEE Trans. Cybern.
Meiling Xu, Min Han
2016 J jnl
An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images.
Neurocomputing
Min Han, Xue Yang, Enda Jiang
2016 J jnl
Complex function projective synchronization in drive-response complex-variable dynamical networks with coupling time delays.
J. Frankl. Inst.
Min Han, Yamei Zhang
2016 — conf
Finite-time projective synchronization control of uncertain complex networks with brushless DC motor and Rikitake system.
ICACI
Meng Zhang, Min Han
2016 B conf
Finite-time topology identification function projective synchronization of Cohen-Grossberg neural networks with time delays and stochastic disturbance.
SMC
Min Han, Yamei Zhang
2016 — conf
L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction.
ICONIP (3)
Meiling Xu, Min Han, Shunshoku Kanae
2016 B conf
PID and neural net controller performance comparsion in UAV pitch attitude control.
SMC
Muluken Regas Eressa, Danchen Zheng, Min Han
2016 J jnl
Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters.
Neurocomputing
Min Han, Meng Zhang, Yamei Zhang
2016 J jnl
Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine.
IEEE Geosci. Remote. Sens. Lett.
Yang Zhou, Jie Lian, Min Han
2016 C conf
Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis.
ISNN
Min Han, Chengkun Zhang, Jun Wang
2016 B conf
Superpixel-based sparse representation classifier for hyperspectral image.
IJCNN
Min Han, Chengkun Zhang, Jun Wang
2015 J jnl
An improved case-based reasoning method and its application in endpoint prediction of basic oxygen furnace.
Neurocomputing
Min Han, Zhanji Cao
2015 J jnl
Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks.
IEEE Trans. Fuzzy Syst.
Ning Wang, Meng Joo Er, Min Han
2015 J jnl
Ensemble of extreme learning machine for remote sensing image classification.
Neurocomputing
Min Han, Ben Liu
2015 J jnl
Generalized Single-Hidden Layer Feedforward Networks for Regression Problems.
IEEE Trans. Neural Networks Learn. Syst.
Ning Wang, Meng Joo Er, Min Han
2015 J jnl
Global mutual information-based feature selection approach using single-objective and multi-objective optimization.
Neurocomputing
Min Han, Weijie Ren
2015 C conf
Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation.
ISNN
Min Han, Yamei Zhang
2015 B conf
Image reconstruction via statistical classification for magnetic induction tomography.
IJCNN
Yuyan Xue, Min Han
2015 J jnl
Improved extreme learning machine for multivariate time series online sequential prediction.
Eng. Appl. Artif. Intell.
Xinying Wang, Min Han
2015 J jnl
Joint mutual information-based input variable selection for multivariate time series modeling.
Eng. Appl. Artif. Intell.
Min Han, Weijie Ren, Xiaoxin Liu
2015 C conf
Joint-classification change detection based on improved fuzzy ARTMAP.
IGARSS
Min Han, Yang Zhou
2015 J jnl
Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks.
IEEE Trans. Cybern.
Ning Wang, Meng Joo Er, Min Han
2015 J jnl
Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm.
Circuits Syst. Signal Process.
Sunan Ge, Jie Han, Min Han
2015 J jnl
Online multivariate time series prediction using SCKF-γESN model.
Neurocomputing
Min Han, Meiling Xu, Xiaoxin Liu, Xinying Wang
2015 J jnl
Predicting Multivariate Time Series Using Subspace Echo State Network.
Neural Process. Lett.
Min Han, Meiling Xu
2014 B conf
Adaptive robust tracking control of surface vessels using dynamic constructive fuzzy neural networks.
FUZZ-IEEE
Ning Wang, Bijun Dai, Yancheng Liu, Min Han
2014 B conf
Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances.
IJCNN
Ning Wang, Bijun Dai, Yancheng Liu, Min Han
2014 J jnl
An evolutionary membrane algorithm for global numerical optimization problems.
Inf. Sci.
Min Han, Chuang Liu, Jun Xing
2014 J jnl
Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification.
Neurocomputing
Ning Wang, Min Han, Nuo Dong, Meng Joo Er
2014 J jnl
Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods.
IEEE Trans. Fuzzy Syst.
Jianchao Fan, Jun Wang, Min Han
2014 J jnl
Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine.
Appl. Soft Comput.
Min Han, Chuang Liu
2014 C conf
Human Action Recognition Based on Difference Silhouette and Static Reservoir.
ISNN
Danchen Zheng, Min Han
2014 B conf
Multivariate time series prediction based on multiple kernel extreme learning machine.
IJCNN
Xinying Wang, Min Han
2014 C conf
New delay-dependent stability criteria for networks with time-varying delays.
ACC
Bin Yang, Lei Wang, Chenxin Fan, Min Han
2014 J jnl
Online sequential extreme learning machine with kernels for nonstationary time series prediction.
Neurocomputing
Xinying Wang, Min Han
2014 J jnl
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares.
IEEE Trans. Neural Networks Learn. Syst.
Ning Wang, Meng Joo Er, Min Han
2014 B conf
Robust structure selection of radial basis function networks for nonlinear system identification.
IJCNN
Pan Qin, Min Han
2014 B conf
Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks.
IJCNN
Ning Wang, Nuo Dong, Min Han
2014 C conf
Weighted support vector echo state machine for multivariate dynamic system modeling.
ACC
Min Han, Xinying Wang
2013 — conf
A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble.
ISNN (1)
Min Han, Ben Liu
2013 — conf
An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples.
ISNN (2)
Ning Wang, Xuming Wang, Yue Tan, Pingbo Shao, Min Han
2013 B conf
Dynamic Evolutionary Membrane Algorithm in Dynamic Environments.
EvoCOP
Chuang Liu, Min Han
2013 J jnl
Feature selection techniques with class separability for multivariate time series.
Neurocomputing
Min Han, Xiaoxin Liu
2013 — conf
Generalized Single-Hidden Layer Feedforward Networks.
ISNN (1)
Ning Wang, Min Han, Guifeng Yu, Meng Joo Er, Fanchao Meng, Shulei Sun
2013 B conf
Multi Reservoir Support Vector Echo State Machine for Multivariate Time Series Prediction.
SMC
Min Han, Xinying Wang
2013 — conf
On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems.
ISNN (2)
Ning Wang, Min Han, Nuo Dong, Meng Joo Er, Gangjian Liu
2013 B conf
Robust neural predictor for noisy chaotic time series prediction.
IJCNN
Min Han, Xinying Wang
2013 J jnl
Shape retrieval and recognition based on fuzzy histogram.
J. Vis. Commun. Image Represent.
Danchen Zheng, Min Han
2013 J jnl
Stabilization for switched stochastic neutral systems under asynchronous switching.
Inf. Sci.
Jie Lian, Yanli Ge, Min Han
2012 B conf
A modified fast recursive hidden nodes selection algorithm for ELM.
IJCNN
Min Han, Xinying Wang
2012 J jnl
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network.
IEEE Trans. Neural Networks Learn. Syst.
Decai Li, Min Han, Jun Wang
2012 — conf
Forward Feature Selection Based on Approximate Markov Blanket.
ISNN (2)
Min Han, Xiaoxin Liu
2012 B conf
Multivariate chaotic time series prediction based on Hierarchic Reservoirs.
SMC
Xinying Wang, Min Han
2012 B conf
Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization.
IEEE Congress on Evolutionary Computation
Jianchao Fan, Min Han
2012 J jnl
Remote sensing image classification based on neural network ensemble algorithm.
Neurocomputing
Min Han, Xinrong Zhu, Wei Yao
2012 — conf
Subspace Echo State Network for Multivariate Time Series Prediction.
ICONIP (5)
Min Han, Meiling Xu
2011 J jnl
A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control.
IEEE Trans. Neural Networks
Min Han, Jianchao Fan, Jun Wang
2011 — conf
Case-based reasoning system based on Bayesian rough set and hierarchical mixture of experts model.
iCAST
Yang Li, Min Han
2011 J jnl
Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine.
Expert Syst. Appl.
Min Han, Yao Zhao
2011 — conf
Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning.
ISNN (3)
Min Han, Liwen Jiang
2011 J jnl
Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy.
Neurocomputing
Min Han, Zhi-ping Liang, Decai Li
2010 J jnl
Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction.
Eng. Appl. Artif. Intell.
Xinzhe Wang, Min Han, Jun Wang
2010 — conf
Multi-reservoir Echo State Network with Sparse Bayesian Learning.
ISNN (1)
Min Han, Dayun Mu
2010 — conf
Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection.
ISNN (1)
Min Han, Decai Li
2010 — conf
Probability Density Estimation Based on Nonparametric Local Kernel Regression.
ISNN (1)
Min Han, Zhi-ping Liang
2010 J jnl
Semi-supervised Bayesian ARTMAP.
Appl. Intell.
Xiaoliang Tang, Min Han
2009 Misc conf
A Fast Two Stage Density Estimation Based on Extreme Learning Machine.
IC-AI
Decai Li, Min Han
2009 B conf
A two-step Pansharpening of ETM+ TIR image based on SFIM and neural network regression.
SMC
Min Han, Wei Yao
2009 B conf
An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization.
IJCNN
Min Han, Jianchao Fan, Bing Han
2009 B conf
Delay Nonlinear System Predictive Control On MPSO+DNN.
SMC
Min Han, Jianchao Fan
2009 J jnl
Noise reduction method for chaotic signals based on dual-wavelet and spatial correlation.
Expert Syst. Appl.
Min Han, Yunxia Liu
2009 J jnl
Partial Lanczos extreme learning machine for single-output regression problems.
Neurocomputing
Xiaoliang Tang, Min Han
2009 J jnl
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation.
Pattern Recognit.
Jianchao Fan, Min Han, Jun Wang
2009 J jnl
gamma-C plane and robustness in static reservoir for nonlinear regression estimation.
Neurocomputing
Zhiwei Shi, Min Han
2008 J jnl
An improved fuzzy neural network based on T-S model.
Expert Syst. Appl.
Min Han, Yannan Sun, Yingnan Fan
2008 B conf
Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis.
IJCNN
Min Han, Ru Wei, Decai Li
2008 J jnl
The hidden neurons selection of the wavelet networks using support vector machines and ridge regression.
Neurocomputing
Min Han, Jia Yin
2007 B conf
A Modified RBF Neural Network in Pattern Recognition.
IJCNN
Min Han, Wei Guo, Yunfeng Mu
2007 J jnl
BitTableFI: An efficient mining frequent itemsets algorithm.
Knowl. Based Syst.
Jie Dong, Min Han
2007 J jnl
Noise Smoothing for Nonlinear Time Series Using Wavelet Soft Threshold.
IEEE Signal Process. Lett.
Min Han, Yuhua Liu, Jianhui Xi, Wei Guo
2007 — conf
Orthogonal Least Squares Based on QR Decomposition for Wavelet Networks.
ISNN (2)
Min Han, Jia Yin
2007 J jnl
Support Vector Echo-State Machine for Chaotic Time-Series Prediction.
IEEE Trans. Neural Networks
Zhiwei Shi, Min Han
2007 — conf
Tikhonov-type regularization in local model for noisy chaotic time series prediction.
CDC
Zhiwei Shi, Min Han
2007 — conf
Variable Selection for Multivariate Time Series Prediction with Neural Networks.
ICONIP (1)
Min Han, Ru Wei
2006 C conf
Application of neural networks on multivariate time series modeling and prediction.
ACC
Min Han, Mingming Fan
2006 C conf
Generalized predictive controller based on RBF neural network for a class of nonlinear system.
ACC
Wei Guo, Min Han
2006 — conf
Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network.
ISNN (2)
Min Han, Wei Guo, Mingming Fan
2006 B conf
Multivariate Time Series Prediction by Neural Network Combining SVD.
SMC
Min Han, Mingming Fan
2006 — conf
Predictive Control Method of Improved Double-Controller Scheme Based on Neural Networks.
ISNN (2)
Bing Han, Min Han
2006 B conf
Reduction of the Multivariate Input Dimension Using Principal Component Analysis.
PRICAI
Jianhui Xi, Min Han
2006 J jnl
Universal learning network and its application for nonlinear system with long time delay.
Comput. Chem. Eng.
Min Han, Bing Han, Jianhui Xi, Kotaro Hirasawa
2005 — conf
A Systematic Chaotic Noise Reduction Method Combining with Neural Network.
ISNN (2)
Min Han, Yuhua Liu, Jianhui Xi, Zhiwei Shi
2005 B conf
Analyzing the state space property of echo state networks for chaotic system prediction.
IJCNN
Jianhui Xi, Zhiwei Shi, Min Han
2005 B conf
Predictive control based on feedforward neural network for strong nonlinear system.
IJCNN
Min Han, Wei Guo, Jincheng Wang
2005 — conf
Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks.
ISNN (2)
Min Han, Mingming Fan, Jianhui Xi
2004 C conf
An improved fuzzy ARTMAP network and its application in wetland classification.
IGARSS
Min Han, Xiaoliang Tang, Lei Cheng
2004 J jnl
Efficient clustering of radial basis perceptron neural network for pattern recognition.
Pattern Recognit.
Min Han, Jianhui Xi
2004 — conf
Modeling Dynamic System by Recurrent Neural Network with State Variables.
ISNN (2)
Min Han, Zhiwei Shi, Wei Wang
2004 J jnl
Prediction of chaotic time series based on the recurrent predictor neural network.
IEEE Trans. Signal Process.
Min Han, Jianhui Xi, Shiguo Xu, Fu-Liang Yin
2003 B conf
Application of four-layer neural network on information extraction.
IJCNN
Min Han, Lei Cheng, Hua Meng
2003 J jnl
Application of four-layer neural network on information extraction.
Neural Networks
Min Han, Lei Cheng, Hua Meng
2002 B conf
Classification of aerial photograph using neural network.
SMC
Min Han, Lei Cheng, Hua Meng