韩敏
教授 博导
所属大学: 大连理工大学
所属学院: 控制科学与工程学院
个人简介
教育经历 1996.41999.3日本九州大学电气电子系统博士 1993.101996.3日本九州大学电器 1978.101982.7大连工学院自动化学士 工作经历 1999.3至今大连理工大学 1996.41999.3日本九州大学学习 1994.41996.3日本九州大学学习 1984.121992.11大连大学讲师 1993.101994.3日本九州大学学习 1982.81984.11大连轻工学院教员 1978.101982.7大连工学院学习
研究领域
Chaotic time series analysis, complex system modeling, Hyperspectral remote sensing image classification
近期论文
Lyu, Zhiyu,Zhang, Chengkun,Han, Min.A nonsubsampled countourlet transform based CNN for real image denoising[J],SIGNAL PROCESSING-IMAGE COMMUNICATION,2020,82 Lyu, Zhiyu,Han, Min,Li, Decai.Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled She...[J],IEEE ACCESS,2020,8:5009-5021 Ren, Weijie,Li, Baisong,Han, Min.A novel Granger causality method based on HSIC-Lasso for revealing nonlinear relationship betwe...[J],PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2020,541 Bai, Fengshan,Wang, Jun,Han, Min,Liu, Yang,Jin, Minglu,Ju, Zhaojie,Zhang, Nian.Welcome messages[J],9th International Conference on Information Science and Technology, ICIST 2019,2019,1 Yan, Kuo,Han, Min.Aerial Image Stitching Algorithm Based on Improved GMS[A],2018,357-363 韩敏,孙国庆,郑丹晨,周惠巍.一种基于时变Petri网的服务组合质量检验方法[J],软件学报,2019,30(8):2453-2469 Han, Min,Zhang, Ruiquan,Qiu, Tie,Xu, Meiling,Ren, Weijie.Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis[J],IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2019,49(10):2144-2154 韩敏,闫阔,秦国帅.基于改进KAZE的无人机航拍图像拼接算法[J],自动化学报,2018,45(2):305-314 韩敏,李锦冰,许美玲,韩冰.具有工作状态转换的EIIKF船舶柴油机故障预测[J],自动化学报,2018,45(5):920-926 Feng, Shoubo,Han, Min,Chen, Yen Wei,Ren, Weijie.Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A p...[J],NEURAL NETWORKS,2019,117:179-190 Han, Min,Zhang, Meng,Qiu, Tie,Xu, Meiling.UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks[J],IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2019,30(1):255-268 Lv, Fei,Han, Min.Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm[J],SENSORS,2018,18(11) Zheng, Danchen,Liu, Wangshu,Han, Min.Learning contextual dissimilarity on tensor product graph for visual re-ranking[J],IMAGE AND VISION COMPUTING,2018,79:1-10 Xu, Meiling,Han, Min,Lin, Hongfei.Wavelet-denoising multiple echo state networks for multivariate time series prediction[J],INFORMATION SCIENCES,2018,465:439-458 Wang, Ning,Sun, Jing-Chao,Han, Min,Zheng, Zhongjiu,Er, Meng Joo.Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems With...[J],IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(8):3747-3760 Qiu, Tie,Zheng, Kaiyu,Han, Min,Chen, C. L. Philip,Xu, Meiling.A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities[J],IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2018,14(5):2042-2051 吕飞,韩敏.基于深度极限学习机的高光谱遥感影像分类研究[J],大连理工大学学报,2018,58(2):166-173 张成坤,韩敏.基于边缘保持滤波的高光谱影像光谱-空间联合分类[J],自动化学报,2018,44(2):280-288 Han, Min,Zhang, Chengkun,Zhou, Yang.Object-wise joint-classification change detection for remote sensing images based on entropy qu...[J],GISCIENCE & REMOTE SENSING,2018,55(2,SI):265-284 Han, Min,Xu, Meiling.Laplacian Echo State Network for Multivariate Time Series Prediction[J],IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(1):238-244 Qiu, Tie,Liu, Xize,Han, Min,Li, Mingchu,Zhang, Yushuang.SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT[J],COMPUTER NETWORKS,2017,129(,SI):481-492 Qiu, Tie,Zheng, Kaiyu,Song, Houbing,Han, Min,Kantarci, Burak.A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid[J],IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2017,13(6):3195-3205 Qiu, Tie,Liu, Jie,Si, Weisheng,Han, Min,Ning, Huansheng,Atiquzzaman, Mohammed.A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities[J],IEEE COMMUNICATIONS MAGAZINE,2017,55(12):18-23 Qiu, Tie,Liu, Xize,Han, Min,Ning, Huansheng,Wu, Dapeng Oliver.A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Thin...[J],IEEE INTERNET OF THINGS JOURNAL,2017,4(6):1879-1889 Feng, Shoubo,Xu, Meiling,Han, Min.Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine[A],2017,10637 LNCS:402-409 Cheng, Xiaolin,Xu, Meiling,Han, Min.Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine[A],2017,10637 LNCS:410-418 Qiu, Tie,Qiao, Ruixuan,Han, Min,Sangaiah, Arun Kumar,Lee, Ivan.A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things[J],IEEE COMMUNICATIONS MAGAZINE,2017,55(11):132-137 Han, Min,Zhang, Ruiquan,Xu, Meiling.Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Alg...[J],NEURAL PROCESSING LETTERS,2017,46(2):705-717 刘望舒,郑丹晨,韩敏.一种基于改进地貌形状上下文的形状匹配方法[J],自动化学报,2017,43(10):1749-1758 韩敏,张丽君.基于多样性检测的双子群多目标粒子群算法[J],控制与决策,2017,32(12):2268-2272 韩敏,张瑞全,许美玲.一种基于改进灰色关联分析的变量选择算法[J],控制与决策,2017,32(9):1647-1652 Lv Z.,Zhao J.,Liu Y.,Wang W.,Han M..A multi-objective clustering-based membership functions formation method for fuzzy modeling of ga...[J],IFAC-PapersOnLine,2017,50(1):12823-12828 Han, Min,Zhang, Chengkun.Spectral-spatial classification of hyperspectral image based on discriminant sparsity preservin...[J],NEUROCOMPUTING,2017,243:133-141 张檬,韩敏.基于滑模控制法的不确定复杂网络间有限时间组合同步[J],控制与决策,2017,32(8):1533-1536 Han, Min,Zhang, Ya-Mei.具有1+N节点的多重边赋权驱动响应复杂网络复域函数投影同步[J],控制与决策,2017,32(5):935-938 Zhang, Shuhui,Han, Min,Wang, Jun,Wang, Dan.Multivariate Time Series Online Prediction Based on Adaptive Normalized Sparse Kernel Recursive...[A],2017,38-44 韩敏,何泳,郑丹晨.基于参考点的高维多目标粒子群算法[J],控制与决策,2017,32(4):607-612 邱铁,韩敏.SRTS: A Self -Recoverable Time Syncnronization for Sensor Networks of Healthcare IoT[J],Computer Networks,2017,129:481-492 吕政,赵珺,刘颖,王伟,韩敏.A multi-objective clustering-based membership functions formation method for fuzzy modeling of ga...[A],2017 邱铁,韩敏.A Lifetime Enhanced Data Colledting Scheme for Internet of Things[J],Communications Magazine,2017,55(11):132-137 Han, Min,Zhou, Yang.An adaptive unimodal subclass decomposition (AUSD) learning system for land use and land cover ...[J],GISCIENCE & REMOTE SENSING,2017,54(1):20-37 韩敏.A Self Recoverable Time Synchronization for Sensor Networks of Healthcare IoT.[J],Computer Networks,2017 Zhao, Rong,Li, Tieshan,Liu, Cheng,Chen, Philip C. L.,Han, Min.Event-triggered Course-tracking Control of Marine Surface Vessels[A],2017,0:391-396 Qiao, Ruixuan,Qiu, Tie,Han, Min,Ma, Jianhua,Huang, Runhe.An Emergent Backpressure Queueing Model for Internet of Things[A],2017,2018-January:651-654 Zhang, Ruiquan,Xu, Meiling,Han, Min,Li, Hongxing.Multivariate Chaotic Time Series Prediction Based on Improved Extreme Learning Machine[A],2017,4006-4011 Qin, Qi,Li, Tie-Shan,Liu, Cheng,Chen, C. L. Philip,Han, Min.Virtual Structure Formation Control via Sliding Mode Control and Neural Networks[A],2017,10262:101-108 Lv, Fei,Han, Min,Qiu, Tie.Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Aut...[J],IEEE ACCESS,2017,5:9021-9031 韩敏.Multivariate time series onlina prediction based on adaptive normalized sparse kernal recursive l...[A],2017,38-44 Eressa M.R.,Zheng D.,Han M..PID and neural net controller performance comparsion in UAV pitch attitude control[A],2017,762-767 Zhang, Meng,Han, Min.Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Sp...[A],2017,10262:161-168 Zhang, Meng,Xu, Meiling,Han, Min.Finite-time Combination Synchronization of Uncertain Complex Networks by Sliding Mode Control[A],2017,406-411 韩敏,张海超,边茂松,郑丹晨.流线增强型线性积分卷积流场可视化[J],系统仿真学报,2016,28(12):2933-2938 张海超,郑丹晨,边茂松,韩敏.一种基于二维光滑粒子法的流体仿真方法[J],物理学报,2016,65(24):109-116 Han, Min,Zhang, Yamei,Zhang, Meng.Modified function projective synchronization between two different complex networks with delaye...[J],INTERNATIONAL JOURNAL OF MODERN PHYSICS C,2016,27(11) Zhou, Yang,Lian, Jie,Han, Min.Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine[J],IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2016,13(10):1405-1409 Xu, Meiling,Han, Min.Adaptive Elastic Echo State Network for Multivariate Time Series Prediction[J],IEEE TRANSACTIONS ON CYBERNETICS,2016,46(10):2173-2183 韩敏,杨雪.改进贝叶斯A RTMA P的迁移学习遥感影像分类算法[J],电子学报,2016,44(9):2248-2253 王浩,韩敏,董杰.基于Android平台的车载视频智能监控系统的研究[J],电子技术应用,2016,42(6):121-123,127 Xu, Meiling,Han, Min,Wang, Xinying.Hierarchical Neural Networks for Multivariate Time Series Prediction[A],2016,2016-August:6971-6976 Han, Min,Zhang, Chengkun,Wang, Jun.Superpixel-Based Sparse Representation Classifier for Hyperspectral Image[A],2016,2016-October:3614-3619