Min Han

发表

Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform

Zhiyu Lyu, Min Han, Decai Li, 2020, IEEE Access.

Marine Aquaculture Targets Automatic Recognition Based on GF-3 PolSAR Imagery

Min Han, Jianchao Fan, Jianhua Zhao, 2018, ISNN.

A Wetland Protection Domain Ontology Construction for Knowledge Management and Information Sharing

Min Han, Jun Xing, Xueheng Tao, 2009 .

Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery

Min Han, Jianchao Fan, Yuzhen Lu, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm

Tie Qiu, Ning Wang, Min Han, 2019, IEEE Transactions on Cybernetics.

Ensemble of extreme learning machine for remote sensing image classification

Min Han, Ben Liu, Min Han, 2015, Neurocomputing.

A LTCC miniaturized broadband modified Marchand balun

Yuan Feng, Min Han, Yongsheng Dai, 2012, 2012 International Symposium on Communications and Information Technologies (ISCIT).

Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series

Tie Qiu, Min Han, Meiling Xu, 2019, IEEE Transactions on Cybernetics.

A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things

Arun Kumar Sangaiah, Tie Qiu, Min Han, 2017, IEEE Communications Magazine.

Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

Jun Wang, Min Han, Decai Li, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction

Tie Qiu, Hongfei Lin, Min Han, 2019, IEEE Transactions on Cybernetics.

Forward Feature Selection Based on Approximate Markov Blanket

Min Han, Xiaoxin Liu, Min Han, 2012, ISNN.

Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation

Min Han, Yamei Zhang, 2015, ISNN.

A fully automatic ocular artifact removal from EEG based on fourth-order tensor method

Min Han, Sunan Ge, Xiaojun Hong, 2014 .

Wavelet-denoising multiple echo state networks for multivariate time series prediction

Hongfei Lin, Min Han, Meiling Xu, 2018, Inf. Sci..

A classification framework of neural networks fusing spectrum and texture information

Min Han, Xiaoliang Tang, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Multiple self-organizing maps for control of a redundant manipulator in an environment with obstacles

Min Han, Nobuhiro Okada, Eiji Kondo, 2008, 2008 IEEE International Conference on Automation Science and Engineering.

Prediction of multivariate time series with sparse Gaussian process echo state network

Min Han, Meiling Xu, Weijie Ren, 2013, 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP).

Optimal structure analysis of universal learning network with multi-branches

Kotaro Hirasawa, Min Han, Hangen Ni, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Scalable Seed Expansion for Identifying Web Communities

Hong Shen, Min Han, Xianchao Zhang, 2011, 2011 Fourth International Symposium on Parallel Architectures, Algorithms and Programming.

Endpoint prediction model of basic oxygen furnace steelmaking based on PSO-ICA and RBF neural network

Min Han, Liwen Jiang, 2010, 2010 International Conference on Intelligent Control and Information Processing.

A Fast Eyelash Detection Algorithm Based on Morphological Operation

Min Han, Meng Wang, Deqiang Wang, 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation

Jun Wang, Min Han, Jianchao Fan, 2009, Pattern Recognit..

A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control

Jun Wang, Min Han, Jianchao Fan, 2011, IEEE Transactions on Neural Networks.

Data-driven based fault prognosis for industrial systems: a concise overview

Bing Han, Min Han, Kai Zhong, 2020, IEEE/CAA Journal of Automatica Sinica.

Analyzing the state space property of echo state networks for chaotic system prediction

Min Han, Jianhui Xi, Zhiwei Shi, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

PolSAR Marine Aquaculture Detection Based on Nonlocal Stacked Sparse Autoencoder

Min Han, Xiaoxin Liu, Jianchao Fan, 2019, ISNN.

Multi Reservoir Support Vector Echo State Machine for Multivariate Time Series Prediction

Min Han, Xinying Wang, Min Han, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Sequence-based prediction of physicochemical interactions at protein functional sites using a function-and-interaction-annotated domain profile database

Min Han, Yifan Song, Jiaqiang Qian, 2018, BMC Bioinformatics.

A Robust and Fast Eyelash Detection Basted on Expectation Maximization and Gaussian Mixture Model

Ting Wang, Min Han, Yong Yin, 2011 .

Iris feature extraction and recognition based on Empirical mode decomposition

Weifeng Sun, Min Han, Shunli Zhang, 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid

Tie Qiu, Burak Kantarci, Kaiyu Zheng, 2017, IEEE Transactions on Industrial Informatics.

Case based reasoning for Converter steelmaking dynamic oxygen volume control

Min Han, Xinzhe Wang, 2010, 2010 International Conference on Intelligent Control and Information Processing.

Research on Neural Network Method in GPS Data Transformation

Min Han, Shiguo Xu, Xue Tian, 2004, ISNN.

Finite-time projective synchronization control of uncertain complex networks with brushless DC motor and Rikitake system

Min Han, Meng Zhang, 2016, 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI).

Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning

Min Han, Liwen Jiang, 2011, ISNN.

Finite-time topology identification function projective synchronization of Cohen-Grossberg neural networks with time delays and stochastic disturbance

Min Han, Yamei Zhang, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting

Min Han, Jingying Zhao, Xin Li, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter

Min Han, Shuhui Zhang, Meiling Xu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Subspace Echo State Network for Multivariate Time Series Prediction

Min Han, Meiling Xu, Min Han, 2012, ICONIP.

Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction

Jun Wang, Min Han, Weijie Li, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Tikhonov-type regularization in local model for noisy chaotic time series prediction

Min Han, Zhiwei Shi, 2007, 2007 46th IEEE Conference on Decision and Control.

The fast iris image clarity evaluation based on Brenner

Min Han, Honglin Wan, Liling Chen, 2013, 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA).

Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm

Min Han, Fei Lv, Min Han, 2018, Sensors.

Modeling Dynamic System by Recurrent Neural Network with State Variables

Wei Wang, Min Han, Zhiwei Shi, 2004, ISNN.

Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization

Min Han, Jianchao Fan, Min Han, 2012, 2012 IEEE Congress on Evolutionary Computation.

Predictive Control Method of Improved Double-Controller Scheme Based on Neural Networks

Min Han, Bing Han, 2006, ISNN.

Generalized Single-Hidden Layer Feedforward Networks for Regression Problems

Meng Joo Er, Ning Wang, Min Han, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Bagging of Gaussian Process for Large Generator Eddy Current Prediction

Min Han, Na Dong, Hai Guo, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Multivariate time series modeling and prediction based on reservoir independent components

Min Han, Meiling Xu, Shuhui Zhang, 2015, 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP).

BitTableFI: An efficient mining frequent itemsets algorithm

Jie Dong, Min Han, Min Han, 2007, Knowl. Based Syst..

Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective

Min Han, Yen Wei Chen, Weijie Ren, 2019, Neural Networks.

Finite-set Model Predictive Speed and Heading Control of Autonomous Surface Vehicles with Unmeasured States

Min Han, Lu Liu, Dan Wang, 2019, 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP).

A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Things

Tie Qiu, Min Han, Huansheng Ning, 2017, IEEE Internet of Things Journal.

Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks

Meng Joo Er, Ning Wang, Min Han, 2015, IEEE Transactions on Cybernetics.

Title : Sequence-based prediction of function site and protein-ligand interaction by a functionally annotated domain profile database Running title : Predicting function site and protein-ligand interactions using fi DPD

Min Han, Dengming Ming, Xiongbo An, 2017 .

Image reconstruction via statistical classification for magnetic induction tomography

Min Han, Yuyan Xue, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

An Adaptive Algorithm of Universal Learning Network for Time Delay System

Min Han, Bing Han, 2005, 2005 International Conference on Neural Networks and Brain.

Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm

Min Han, Jie Han, Sunan Ge, 2015, Circuits, Systems, and Signal Processing.

Global mutual information-based feature selection approach using single-objective and multi-objective optimization

Min Han, Weijie Ren, Min Han, 2015, Neurocomputing.

Efficient feature extraction framework for EEG signals classification

Tieshan Li, Min Han, Dan Wang, 2016, 2016 Seventh International Conference on Intelligent Control and Information Processing (ICICIP).

Design and fabrication of 94 GHz MMIC single balanced resistive mixer without IF balun

Sang-Jin Lee, Min Han, Seok Gyu Choi, 2010, Microelectron. J..

New delay-dependent stability criteria for networks with time-varying delays

Bin Yang, Min Han, Lei Wang, 2014, 2014 American Control Conference.

Online sequential extreme learning machine with kernels for nonstationary time series prediction

Min Han, Xinying Wang, Min Han, 2014, Neurocomputing.

Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine

Min Han, Yang Zhou, Jie Lian, 2016, IEEE Geoscience and Remote Sensing Letters.

Time Series Online Prediction Based on Adaptive Dynamic Adjustment Kernel Recursive Least Squares Algorithm

Min Han, Shunshoku Kanae, Junzhu Ma, 2018, 2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP).

The learning algorithm based on multiresolution analysis for neural networks

Yang Li, Min Han, Jia Yin, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Noise Smoothing for Nonlinear Time Series Using Wavelet Soft Threshold

Wei Guo, Min Han, Yuhua Liu, 2007, IEEE Signal Processing Letters.

Application of neural networks on multivariate time series modeling and prediction

Min Han, Mingming Fan, 2006, 2006 American Control Conference.

Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks

Min Han, Ning Wang, Nuo Dong, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Multivariate chaotic time series prediction based on improved extreme learning machine

Min Han, Hongxing Li, Meiling Xu, 2017, 2017 36th Chinese Control Conference (CCC).

Reconstruction-based Fault Prognosis for Bearings with Principal Component Analysis

Min Han, Jun Wang, Kai Zhong, 2019, 2019 Chinese Control Conference (CCC).

Evolving support vector machine using modified fruit fly optimization algorithm and genetic algorithm for binary classification problem

Min Han, Fei Ye, Xin-Yuan Lou, 2016, 2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

An Evolutional Networking Model for Three-Dimensional Topology in Internet of Things

Tie Qiu, Min Han, Wenbing Zhao, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Universal learning network and its application for nonlinear system with long time delay

Kotaro Hirasawa, Min Han, Bing Han, 2006, Comput. Chem. Eng..

A Fast Two Stage Density Estimation Based on Extreme Learning Machine

Min Han, Decai Li, 2009, IC-AI.

Enhancing light output of GaN-based light-emitting diodes with nanoparticle-assembled on-top layers

Xi Chen, Min Han, Cheng Zheng, 2012, 2012 7th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS).

Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding

Min Han, Chengkun Zhang, Min Han, 2017, Neurocomputing.

Online multivariate time series prediction using SCKF-γESN model

Min Han, Xiaoxin Liu, Meiling Xu, 2015, Neurocomputing.

Nonlinear time series online prediction using reservoir kalman filter

Min Han, Yanan Wang, Min Han, 2009, 2009 International Joint Conference on Neural Networks.

Regularization in DQN for Parameter-Varying Control Learning Tasks

Qibing Jin, Dazi Li, Min Han, 2019, ISNN.

Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability

Zhongjiu Zheng, Meng Joo Er, Ning Wang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

PBmice: an integrated database system of piggyBac (PB) insertional mutations and their characterizations in mice

Li Wang, Yi Su, Min Han, 2007, Nucleic Acids Res..

Hybrid intelligent control of BOF oxygen volume and coolant addition

Yang Li, Min Han, Zhanji Cao, 2014, Neurocomputing.

An improved case-based reasoning method and its application in endpoint prediction of basic oxygen furnace

Min Han, Zhanji Cao, Min Han, 2015, Neurocomputing.

Least squares regression with I1-regularizer in sum space

Min Wang, Min Han, Yong-Li Xu, 2014, J. Comput. Appl. Math..

Integrated optimization model for alloy addition of basic oxygen furnace based on Particle Swarm Optimization

Min Han, Qiao Xu, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control

Min Han, Meng Zhang, 2017, ISNN.

Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm

Yu Li, Min Han, Xinyi Le, 2018, ISNN.

gamma-C plane and robustness in static reservoir for nonlinear regression estimation

Min Han, Zhiwei Shi, Min Han, 2009, Neurocomputing.

Multivariate chaotic system modeling based on nonuniform state space reconstruction and echo state network

Min Han, Weijie Ren, Weijie Ren, 2015, 2015 Chinese Automation Congress (CAC).

EEG signal classification for epilepsy diagnosis based on AR model and RVM

Min Han, Leilei Sun, Min Han, 2010, 2010 International Conference on Intelligent Control and Information Processing.

Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update

Jun Wang, Min Han, Junzhu Ma, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks

Min Han, Jianhui Xi, Mingming Fan, 2005, ISNN.

Time-series Prediction Based on VMD and Stack Recurrent Neural Network

Jun Wang, Min Han, Tao Jiang, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Variable Selection for Multivariate Time Series Prediction with Neural Networks

Min Han, Ru Wei, 2007, ICONIP.

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction

C. L. Philip Chen, Tie Qiu, Min Han, 2019, IEEE Transactions on Knowledge and Data Engineering.

Feature selection techniques with class separability for multivariate time series

Min Han, Xiaoxin Liu, Min Han, 2013, Neurocomputing.

Exponential Stability of Discrete-Time Neural Networks With Large Delay

Min Han, Guangdeng Zong, Bin Yang, 2019, IEEE Transactions on Cybernetics.

EEG Signals Classification Based on Wavelet Packet and Ensemble Extreme Learning Machine

Jun Wang, Min Han, Zhuoran Sun, 2015, 2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI).

Weighted support vector echo state machine for multivariate dynamic system modeling

Min Han, Xinying Wang, Min Han, 2014, 2014 American Control Conference.

A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities

Jie Liu, Tie Qiu, Min Han, 2017, IEEE Communications Magazine.

Adaptive Fuzzy Compensation Control of MIMO Stochastic Nonlinear Systems with Input Hysteresis

Tieshan Li, Min Han, Yuanyuan Xu, 2019, 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP).

A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble

Min Han, Ben Liu, 2013, ISNN.

PID and neural net controller performance comparsion in UAV pitch attitude control

Min Han, Muluken Regas Eressa, Danchen Zheng, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Hierarchical neural networks for multivariate time series prediction

Min Han, Meiling Xu, Xinying Wang, 2016, 2016 35th Chinese Control Conference (CCC).

Stabilization for switched stochastic neutral systems under asynchronous switching

Min Han, Jie Lian, Yanli Ge, 2013, Inf. Sci..

Joint mutual information-based input variable selection for multivariate time series modeling

Min Han, Xiaoxin Liu, Weijie Ren, 2015, Eng. Appl. Artif. Intell..

Probability Density Estimation Based on Nonparametric Local Kernel Regression

Min Han, Zhi-ping Liang, Min Han, 2010, ISNN.

A modified fast recursive hidden nodes selection algorithm for ELM

Min Han, Xinying Wang, Min Han, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Shape retrieval and recognition based on fuzzy histogram

Min Han, Danchen Zheng, Danchen Zheng, 2013, J. Vis. Commun. Image Represent..

Fault subspace decomposition and reconstruction theory based online fault prognosis

Bing Han, Min Han, Kai Zhong, 2019 .

L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction

Min Han, Meiling Xu, Shunshoku Kanae, 2016, ICONIP.

A two-step pansharpening of ETM+ TIR image based on SFIM and neural network regression

Min Han, Wei Yao, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[Extraction of the EEG signal feature based on echo state networks].

Min Han, Leilei Sun, Xiaojun Hong, 2012, Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi.

[Land cover classification in Xianghai Nature Reserve].

Min Han, Xiaoliang Tang, Lei Cheng, 2005, Ying yong sheng tai xue bao = The journal of applied ecology.

Generalization ability of universal learning network by using second order derivatives

Kotaro Hirasawa, Junichi Murata, Jinglu Hu, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Noise reduction method for chaotic signals based on dual-wavelet and spatial correlation

Min Han, Yunxia Liu, 2009, Expert Syst. Appl..

A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities

C. L. Philip Chen, Tie Qiu, Kaiyu Zheng, 2018, IEEE Transactions on Industrial Informatics.

Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis

Tie Qiu, Min Han, Meiling Xu, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization

Min Han, Jianchao Fan, Bing Han, 2009, 2009 International Joint Conference on Neural Networks.

Generalization Ability of Universal Learning Network by Optimizing Network Size and Time Delay

Kotaro Hirasawa, Masanao Ohbayashi, Junichi Murata, 1997, ICONIP.

Robust neural predictor for noisy chaotic time series prediction

Min Han, Xinying Wang, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Support Vector Echo-State Machine for Chaotic Time-Series Prediction

Min Han, Zhiwei Shi, Min Han, 2007, IEEE Transactions on Neural Networks.

Recurrent Broad Learning Systems for Time Series Prediction

Tie Qiu, Min Han, C L Philip Chen, 2020, IEEE Transactions on Cybernetics.

A Review on Intelligence Dehazing and Color Restoration for Underwater Images

Tie Qiu, Zhiyu Lyu, Min Han, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Erratum to: A fully automatic ocular artifact removal from EEG based on fourth-order tensor method

Min Han, Sunan Ge, Xiaojun Hong, 2014 .

Multiresolution Based Segmentation for Nonideal Iris with Nonlinear Diffusion

Ting Wang, Min Han, Honglin Wan, 2011 .

Analysis of Population Size in Artificial Bee Colony Algorithm

Meihua Yang, Xianneng Li, Min Han, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection

Min Han, Decai Li, 2010, ISNN.

Study of dynamic response of dams with neural network

Min Han, Xin Jiang, Guocheng Han, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine

Min Han, Xiaolin Cheng, Meiling Xu, 2017, ICONIP.

Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine

Yao Zhao, Min Han, Min Han, 2011, Expert Syst. Appl..

Design and realization of GPS and GIS integration technology in wetland study

Min Han, Xue Tian, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning

Yuhua Peng, Min Han, Honglin Wan, 2008, ADMA.

A Novel Dynamic Update Framework for Epileptic Seizure Prediction

Min Han, Jie Han, Sunan Ge, 2014, BioMed research international.

Reduction of the Multivariate Input Dimension Using Principal Component Analysis

Min Han, Jianhui Xi, 2006, PRICAI.

Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis

Min Han, Decai Li, Ru Wei, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A Web-Based Domain Ontology Construction Modelling and Application in the Wetland Domain

Min Han, Jun Xing, 2007 .

An investigation of the plasmon enhanced/quenched molecular fluorescence based on multi-graded silver nanoparticle array substrates

Xi Chen, Min Han, Cheng Zheng, 2011, 2011 6th IEEE International Conference on Nano/Micro Engineered and Molecular Systems.

Ternary reversible extreme learning machines: the incremental tri-training method for semi-supervised classification

Min Han, Xiaoliang Tang, Min Han, 2010, Knowledge and Information Systems.

Improvement of generalization ability for identifying dynamical systems by using universal learning networks

Kotaro Hirasawa, Sung-Ho Kim, Junichi Murata, 2001, Neural Networks.

Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis

Tie Qiu, Min Han, Kai Zhong, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance

Dan Wang, Tieshan Li, Min Han, 2020, IEEE Transactions on Cybernetics.

Generalized Single-Hidden Layer Feedforward Networks

Meng Joo Er, Ning Wang, Min Han, 2013, ISNN.

Aerial Image Stitching Algorithm Based on Improved GMS

Min Han, Kuo Yan, 2018, 2018 Eighth International Conference on Information Science and Technology (ICIST).

3S data feature-level fusion by neural network

Min Han, Yannan Sun, Shiguo Xu, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances

Ning Wang, Min Han, Yancheng Liu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Improved extreme learning machine for multivariate time series online sequential prediction

Min Han, Xinying Wang, Min Han, 2015, Eng. Appl. Artif. Intell..

A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images

Bin Sun, Qiu-Hua Lin, Min Han, 2019, ISNN.

An evolutionary membrane algorithm for global numerical optimization problems

Min Han, Chuang Liu, Jun Xing, 2014, Inf. Sci..

Studies on Modification of Channel Material and Gate Recess Structures in Metamorphic HEMT

Min Han, Jung Hun Oh, Seok Gyu Choi, 2008, 2008 Global Symposium on Millimeter Waves.

Human Action Recognition Based on Difference Silhouette and Static Reservoir

Min Han, Danchen Zheng, 2014, ISNN.

Quasi-Linear Recurrent Neural Network based Identification and Predictive Control

Jinglu Hu, Qibing Jin, Dazi Li, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Event-triggered course-tracking control of marine surface vessels

Tieshan Li, C. L. Philip Chen, Min Han, 2017, 2017 13th IEEE International Conference on Control & Automation (ICCA).

Change detection of land use and land cover in an urban region with SPOT-5 images and partial Lanczos extreme learning machine

Ni-Bin Chang, Min Han, Wei Yao, 2010 .

Estimating the regional evapotranspiration in Zhalong wetland with the Two-Source Energy Balance (TSEB) model and Landsat7/ETM+ images

Min Han, Wei Yao, Shiguo Xu, 2010, Ecol. Informatics.

Semi-supervised Bayesian ARTMAP

Min Han, Xiaoliang Tang, Min Han, 2010, Applied Intelligence.

Dynamic Evolutionary Membrane Algorithm in Dynamic Environments

Min Han, Chuang Liu, Chuang Liu, 2013, EvoCOP.

Robust structure selection of radial basis function networks for nonlinear system identification

Min Han, Pan Qin, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks

Meng Joo Er, Ning Wang, Min Han, 2015, IEEE Transactions on Fuzzy Systems.

Learning contextual dissimilarity on tensor product graph for visual re-ranking

Min Han, Wangshu Liu, Danchen Zheng, 2018, Image Vis. Comput..

On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems

Meng Joo Er, Ning Wang, Min Han, 2013, ISNN.

An improved fuzzy neural network based on T-S model

Min Han, Yannan Sun, Yingnan Fan, 2008, Expert Syst. Appl..

Complex function projective synchronization in drive-response complex-variable dynamical networks with coupling time delays

Min Han, Yamei Zhang, 2016, J. Frankl. Inst..

Pseudoinverse Learners: New Trend and Applications to Big Data

Dongbin Zhao, Min Han, Ping Guo, 2019, INNSBDDL.

Comparison of Expected Performance on B3G Spread Spectrum Mobile Radio Links at 1.9 and 5.8 GHz Based on Propagation Measurements

Min Han, Roshdy H. M. Hafez, Robert J. C. Bultitude, 2006, IEEE Vehicular Technology Conference.

Iris recognition based on a novel multiresolution analysis framework

Mingyan Jiang, Min Han, Mingyan Li, 2010, 2010 IEEE International Conference on Image Processing.

Partial Lanczos extreme learning machine for single-output regression problems

Min Han, Xiaoliang Tang, Min Han, 2009, Neurocomputing.

Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods

Jun Wang, Min Han, Jianchao Fan, 2014, IEEE Transactions on Fuzzy Systems.

Case-based reasoning system based on Bayesian rough set and hierarchical mixture of experts model

Yang Li, Min Han, 2011, 2011 3rd International Conference on Awareness Science and Technology (iCAST).

A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders

Min Han, Jianchao Fan, Kai Lin, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Novel Time Series Prediction Model Based on Deep Sparse Autoencoder

Min Han, Meiling Xu, Tong Xing, 2018, 2018 37th Chinese Control Conference (CCC).

Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction

Tie Qiu, Hongfei Lin, Min Han, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Collision avoidance for a redundant manipulator in an unstructured environment with a simplified path planning and multiple self-organizing maps

Min Han, Nobuhiro Okada, Eiji Kondo, 2005, 2005 IEEE International Conference on Robotics and Biomimetics - ROBIO.

A Systematic Chaotic Noise Reduction Method Combining with Neural Network

Min Han, Yuhua Liu, Jianhui Xi, 2005, ISNN.

The fast iris image clarity evaluation based on Tenengrad and ROI selection

Min Han, Xu Cheng, Shuqin Gao, 2018, International Conference on Graphic and Image Processing.

Multivariate Chaotic Time Series Prediction Based on ELM–PLSR and Hybrid Variable Selection Algorithm

Min Han, Meiling Xu, Ruiquan Zhang, 2017, Neural Processing Letters.

A Multi-objective Optimization Model for Alloy Addition in BOS Process Based on ESN and Modified MOPSO

Jun Wang, Min Han, Yong He, 2015, 2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI).

Multivariate chaotic time series prediction based on Hierarchic Reservoirs

Min Han, Xinying Wang, Min Han, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Generalized predictive controller based on RBF neural network for a class of nonlinear system

Wei Guo, Min Han, 2006, 2006 American Control Conference.

Affection of the multi-branch number of universal learning networks on network structure

Kotaro Hirasawa, Min Han, Xiaomeng Jia, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Applying ICA on neural network to simplify BOF endpiont predicting model

Min Han, Yijie Wang, Xinzhe Wang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Optimization of sub-0.1-mum offset Gamma-shaped gate MHEMTs for millimeter-wave applications

Min Han, Jung Hun Oh, Myung-Sik Son, 2004, Microelectron. J..

Online designed of Echo State Network based on Particle Swarm Optimization for system identification

Min Han, Jianchao Fan, 2011, 2011 2nd International Conference on Intelligent Control and Information Processing.

Virtual Structure Formation Control via Sliding Mode Control and Neural Networks

Tieshan Li, C. L. Philip Chen, Min Han, 2017, ISNN.

Chaotic Time Series Prediction Based on Improved MOPSO-ELM

Xin Li, Min Han, Meiling Xu, 2018, 2018 Annual American Control Conference (ACC).

A Modified RBF Neural Network in Pattern Recognition

Wei Guo, Min Han, Yunfeng Mu, 2007, 2007 International Joint Conference on Neural Networks.

Analysis and modeling of multivariate chaotic time series based on neural network

Y. Wang, Min Han, Min Han, 2009, Expert Syst. Appl..

BOF Oxygen Control by Mixed Case Retrieve and Reuse CBR

Min Han, Xinzhe Wang, 2011 .

Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine

Min Han, Meiling Xu, Shoubo Feng, 2017, ICONIP.

Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares

Meng Joo Er, Ning Wang, Min Han, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Robust relevance vector machine with noise variance coefficient

Yao Zhao, Min Han, Min Han, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Remote sensing image classification based on neural network ensemble algorithm

Min Han, Wei Yao, Xinrong Zhu, 2012, Neurocomputing.

Application of four-layer neural network on information extraction

Min Han, Lei Cheng, Hua Meng, 2003, Neural Networks.

Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA

Min Han, Weijie Li, Shoubo Feng, 2018, ICONIP.

Joint-classification change detection based on improved fuzzy ARTMAP

Min Han, Yang Zhou, Min Han, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT

Mingchu Li, Tie Qiu, Min Han, 2017, Comput. Networks.

UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks

Meng Zhang, Tie Qiu, Min Han, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Research on CNC machining screw which is variable pitch & groove depth & groove width

Min Han, Shan Li, Lutao Deng, 2009, 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design.

IFCIA: An Efficient Algorithm for Mining Intertransaction Frequent Closed Itemsets

Jie Dong, Min Han, Min Han, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

Remote sensing image classification with parameter optimized Support Vector Machine based on evolutionary computation

Min Han, Wei Yao, Min Han, 2011, The Fourth International Workshop on Advanced Computational Intelligence.

Multivariate Time Series Online Predictor with Kalman Filter Trained Reservoir: Multivariate Time Series Online Predictor with Kalman Filter Trained Reservoir

Min Han, Ya-Nan Wang, Min Han, 2010 .

Universal learning network predictive control for nonlinear dynamic systems with time-delay

Min Han, Bing Han, 2005, Proceedings. 2005 IEEE Networking, Sensing and Control, 2005..

Improved and robust eyelash and eyelid location method

Ting Wang, Min Han, Honglin Wan, 2012, 2012 International Conference on Wireless Communications and Signal Processing (WCSP).

Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis

Jun Wang, Min Han, Chengkun Zhang, 2016, ISNN.

An improved fuzzy ARTMAP network and its application in wetland classification

Min Han, Lei Cheng, Xiaoliang Tang, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Land use and land cover classification with SPOT-5 images and Partial Lanczos Extreme Learning Machine (PL-ELM)

Ni-Bin Chang, Min Han, Wei Yao, 2010, Remote Sensing.

Predictive control based on feedforward neural network for strong nonlinear system

Wei Guo, Min Han, Jincheng Wang, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

An Emergent Backpressure Queueing Model for Internet of Things

Jianhua Ma, Tie Qiu, Min Han, 2017, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

A hybrid edge detection model of extreme learning machine and cellular automata

Min Han, Xue Yang, Enda Jiang, 2014, Fifth International Conference on Intelligent Control and Information Processing.

Prediction of chaotic time series based on the recurrent predictor neural network

Min Han, Shiguo Xu, Jianhui Xi, 2004, IEEE Transactions on Signal Processing.

Laplacian Echo State Network for Multivariate Time Series Prediction

Min Han, Meiling Xu, Min Han, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder

Tie Qiu, Min Han, Fei Lv, 2017, IEEE Access.

The hidden neurons selection of the wavelet networks using support vector machines and ridge regression

Min Han, Jia Yin, Min Han, 2008, Neurocomputing.

Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction

Jun Wang, Min Han, Xinzhe Wang, 2010, Eng. Appl. Artif. Intell..

Study on an Improved Integration Architecture of the Collaborative Sales Management System Based on Auto-Industry

Min Han, Nan Li, An Sheng Li, 2011 .

Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network

Wei Guo, Min Han, Mingming Fan, 2006, ISNN.

Remote sensing image fusion using particle swam optimization

Min Han, Wei Yao, Min Han, 2010, 2010 International Conference on Intelligent Control and Information Processing.

Enhancing underwater image by dark channel prior and color correction

Chao Chen, Min Han, Min Han, 2016, 2016 Sixth International Conference on Information Science and Technology (ICIST).

Delay nonlinear system predictive control on MPSO+DNN

Min Han, Jianchao Fan, Min Han, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy

Min Han, Decai Li, Zhi-ping Liang, 2011, Neurocomputing.

Clustering-enhanced PointCNN for Point Cloud Classification Learning

Min Han, Xinyi Le, Fei Li, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Superpixel-based sparse representation classifier for hyperspectral image

Jun Wang, Min Han, Chengkun Zhang, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Adaptive Elastic Echo State Network for Multivariate Time Series Prediction

Min Han, Meiling Xu, Min Han, 2016, IEEE Transactions on Cybernetics.

A novel miniaturized wideband bandpass filter using LTCC technology

Min Han, Yongsheng Dai, Ping Li, 2012, 2012 International Symposium on Communications and Information Technologies (ISCIT).

Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns

Ning Wang, Min Han, Wen-Hua Chen, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Multivariate time series prediction based on multiple kernel extreme learning machine

Min Han, Xinying Wang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples

Yue Tan, Ning Wang, Min Han, 2013, ISNN.

Adaptive robust tracking control of surface vessels using dynamic constructive fuzzy neural networks

Ning Wang, Min Han, Yancheng Liu, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Predicting Multivariate Time Series Using Subspace Echo State Network

Min Han, Meiling Xu, Meiling Xu, 2013, Neural Processing Letters.

Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters

Min Han, Yamei Zhang, Meng Zhang, 2016, Neurocomputing.

Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview

Tie Qiu, Min Han, Bing Han, 2019, IEEE Transactions on Cybernetics.

Particle swarm optimization using dynamic neighborhood topology for large scale optimization

Min Han, Jianchao Fan, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Research on Design and Application of Domain Ontology of Wetland Protection

Min Han, Jun Xing, Jun Xing, 2006, 2006 6th World Congress on Intelligent Control and Automation.

Orthogonal Least Squares Based on QR Decomposition for Wavelet Networks

Min Han, Jia Yin, 2007, ISNN.

Multi-feature hyperspectral image classification with L2,1 norm constrained joint sparse representation

Min Han, Chengkun Zhang, 2021 .

DSTnet: a new discrete shearlet transform-based CNN model for image denoising

Zhiyu Lyu, Min Han, Chengkun Zhang, 2021, Multimedia Systems.

Hybrid Regularization of Diffusion Process for Visual Re-Ranking

Min Han, Jianchao Fan, Danchen Zheng, 2021, IEEE Transactions on Image Processing.

Bayesian inference based reorganized multiple characteristics subspaces fusion strategy for dynamic process monitoring

Min Han, Kai Zhong, Xiaofei Sun, 2021, Control Engineering Practice.

Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series

Min Han, Weijie Ren, Chaochao Zhao, 2021, Circuits, Systems, and Signal Processing.

SA-U-Net++: SAR marine floating raft aquaculture identification based on semantic segmentation and ISAR augmentation

Min Han, Deyi Wang, 2021 .

Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm

Min Han, Weijie Ren, Yiwen Wang, 2021, Soft Computing.

Finite-time combination synchronization of uncertain complex networks by sliding mode control

Meng Zhang, Min Han, Meiling Xu, 2017, 2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS).

Modified function projective synchronization between two different complex networks with delayed couplings and delayed nodes of different dimensions

Min Han, Meng Zhang, Min Han, 2016 .

Application of Kalman filter to chaotic prediction of sunspots

Min Han, Jianhui Xi, Min Han, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

Chaotic system identification based on Kalman filter

Min Han, Jianhui Xi, Min Han, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Multivariate time series online prediction based on adaptive normalized sparse kernel recursive least squares algorithm

Min Han, Jun Wang, Dan Wang, 2017, 2017 Seventh International Conference on Information Science and Technology (ICIST).

Comparison with reconstruction algorithms in magnetic induction tomography

Min Han, Min Han, Xiaolin Cheng, 2016, Physiological measurement.

General Projection Neural Network Based Nonlinear Model Predictive Control for Multi-Robot Formation and Tracking

Tieshan Li, Min Han, Hanzhen Xiao, 2017 .