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ORCIDMin Han 0001
Person information
- affiliation: Dalian University of Technology, Dalian, China
Other persons with the same name
- Min Han — disambiguation page
- Min Han 0002
![[0000-0001-6247-0479]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6247-0479")
— Tsinghua University, Shenzhen, China - Min Han 0003 — Southeast University, State Key Laboratory of Millimeter Waves, Nanjing, China
- Min Han 0004 — Huazhong University of Science and Technology, Tongji Hospital, Wuhan, China
- Min Han 0005 — Academy of Military Sciences, Beijing, China
- Min Han 0006 — Millimeter-wave INnovation Technology research center, Seoul, Korea
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2020 – today
- 2024
[j113]Yunsheng Wang, Xinghan Xu, Lei Hu, Jianchao Fan, Min Han:
A time series continuous missing values imputation method based on generative adversarial networks. Knowl. Based Syst. 283: 111215 (2024)- [j112]Songwei Zhang, Tie Qiu, Ning Chen, Huansheng Ning, Min Han, Xingcheng Liu:
A Robust Networking Model With Quantum Evolution for Internet of Things. IEEE Netw. 38(2): 218-224 (2024) - [j111]Yi Liang, Xinghan Xu, Chengkun Zhang, Jianwei Liu, Deyi Wang, Min Han:
Progressive Difference Amplification Network With Edge Sensitivity for Remote Sensing Image Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7695-7709 (2024) - [j110]Lei Hu, Xinghan Xu, Weijie Ren, Min Han:
Hierarchical Evolving Fuzzy System: A Method for Multidimensional Chaotic Time Series Online Prediction. IEEE Trans. Fuzzy Syst. 32(6): 3329-3341 (2024) - [j109]Yi-Fang Zhang, Bing Han, Min Han:
Mechanical Fault Diagnosis With Noisy Multisource Signals via Unified Pinball Loss Intuitionistic Fuzzy Support Tensor Machine. IEEE Trans. Ind. Informatics 20(1): 62-72 (2024) - [j108]Yi Liang, Chengkun Zhang, Min Han:
RaSRNet: An End-to-End Relation-Aware Semantic Reasoning Network for Change Detection in Optical Remote Sensing Images. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j107]Nannan Lu, Hanhan Xiao, Zhanguo Ma, Tong Yan, Min Han:
Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7657-7670 (2024) - 2023
- [j106]Huijuan Xia, Weijie Ren, Min Han:
Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series. Circuits Syst. Signal Process. 42(5): 2698-2722 (2023) - [j105]Min Han, Huijuan Xia, Weijie Ren:
Kernel general loss algorithm based on evolving participatory learning for online time series prediction. Eng. Appl. Artif. Intell. 124: 106600 (2023) - [j104]Xiaodong Na, Yuan Li, Weijie Ren, Min Han:
Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems. Expert Syst. Appl. 228: 120155 (2023) - [j103]Qipeng Wang, Min Han:
Dirichlet Graph Convolution Coupled Neural Differential Equation for Spatio-temporal Time Series Prediction. Neural Process. Lett. 55(9): 12347-12366 (2023) - [j102]Xiaodong Na, Mengyuan Zhang, Weijie Ren, Min Han:
Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features. IEEE Trans. Cogn. Dev. Syst. 15(2): 700-711 (2023) - [j101]Weijie Ren, Dewei Ma, Min Han:
Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm. IEEE Trans. Ind. Informatics 19(4): 6150-6159 (2023) - [j100]Kai Sun, Xinghan Xu, Nannan Lu, Huijuan Xia, Min Han:
Joint Discriminative Adversarial Domain Adaptation for Cross-Domain Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j99]Guoliang He, Wenjun Jiang, Rong Peng, Ming Yin, Min Han:
Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7761-7774 (2023) - [j98]Xiaodong Na, Weijie Ren, Moran Liu, Min Han:
Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9302-9313 (2023) - 2022
- [j97]Deyi Wang, Chengkun Zhang, Min Han:
MLFC-net: A multi-level feature combination attention model for remote sensing scene classification. Comput. Geosci. 160: 105042 (2022) - [j96]Jiaqian Wang, Xiaodong Na, Zhihui Li, Min Han, Decai Li:
Negative Gradient Differential Biogeography-based Optimization for Mobile Robot Path Planning. Int. J. Artif. Intell. Tools 31(5): 2250030:1-2250030:25 (2022) - [j95]Junying Li, Weijie Ren, Min Han:
Mutual Information Variational Autoencoders and Its Application to Feature Extraction of Multivariate Time Series. Int. J. Pattern Recognit. Artif. Intell. 36(6): 2255005:1-2255005:23 (2022) - [j94]Min Han, Ran Li, Chengkun Zhang:
LWCDNet: A Lightweight Fully Convolution Network for Change Detection in Optical Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j93]Xiaodong Na, Jiaqian Wang, Min Han, Decai Li:
Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning. Soft Comput. 26(13): 6131-6144 (2022) - [j92]Yi-Fang Zhang, Bing Han, Min Han:
A Novel Distributed Data-Driven Strategy for Fault Detection of Multi-Source Dynamic Systems. IEEE Trans. Circuits Syst. II Express Briefs 69(11): 4379-4383 (2022) - [j91]Xiaodong Na, Min Han, Weijie Ren, Kai Zhong:
Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization. IEEE Trans. Cybern. 52(4): 2163-2173 (2022) - [j90]Shoubo Feng, Min Han, Jiadong Zhang, Tie Qiu, Weijie Ren:
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction. IEEE Trans. Cybern. 52(6): 4115-4125 (2022) - [j89]Guoliang He, Xin Xin, Rong Peng, Min Han, Juan Wang, Xiaoqun Wu:
Online Rule-Based Classifier Learning on Dynamic Unlabeled Multivariate Time Series Data. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 1121-1134 (2022) - 2021
- [j88]Jianchao Fan, Xiaoxin Liu, Xinzhe Wang, Deyi Wang, Min Han:
Multi-Background Island Bird Detection Based on Faster R-CNN. Cybern. Syst. 52(1): 26-35 (2021) - [j87]Chaochao Zhao, Weijie Ren, Min Han:
Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series. Circuits Syst. Signal Process. 40(9): 4346-4369 (2021) - [j86]Nannan Lu, Hanhan Xiao, Yanjing Sun, Min Han, Yanfen Wang:
A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation. Neurocomputing 427: 96-109 (2021) - [j85]Zhiyu Lyu, Chengkun Zhang, Min Han:
DSTnet: a new discrete shearlet transform-based CNN model for image denoising. Multim. Syst. 27(6): 1165-1177 (2021) - [j84]Weijie Ren, Yiwen Wang, Min Han:
Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm. Soft Comput. 25(6): 4489-4502 (2021) - [j83]Bin Yang, Mengnan Hao, Min Han, Xudong Zhao, Guangdeng Zong:
Exponential Stability of Discrete-Time Neural Networks With Large Delay. IEEE Trans. Cybern. 51(5): 2824-2834 (2021) - [j82]Danchen Zheng, Jianchao Fan, Min Han:
Hybrid Regularization of Diffusion Process for Visual Re-Ranking. IEEE Trans. Image Process. 30: 3705-3719 (2021) - [j81]Min Han, Weijie Li, Shoubo Feng, Tie Qiu, C. L. Philip Chen:
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2320-2329 (2021) - 2020
- [j80]Zhiyu Lyu, Min Han, Decai Li:
Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform. IEEE Access 8: 5009-5021 (2020) - [j79]Kai Zhong, Junzhu Ma, Min Han:
Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective. Eng. Appl. Artif. Intell. 91: 103547 (2020) - [j78]Tianyu Shen, Weijie Ren, Min Han:
Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction. Eng. Appl. Artif. Intell. 95: 103797 (2020) - [j77]Kai Zhong, Min Han, Bing Han:
Data-driven based fault prognosis for industrial systems: a concise overview. IEEE CAA J. Autom. Sinica 7(2): 330-345 (2020) - [j76]Ning Chen, Tie Qiu, Chaoxu Mu, Min Han, Pan Zhou:
Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things. IEEE Internet Things J. 7(7): 6191-6200 (2020) - [j75]Zhiyu Lyu, Chengkun Zhang, Min Han:
A nonsubsampled countourlet transform based CNN for real image denoising. Signal Process. Image Commun. 82: 115727 (2020) - [j74]Kai Zhong, Min Han, Tie Qiu, Bing Han, Yen-Wei Chen:
Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference. IEEE Trans. Control. Syst. Technol. 28(5): 2037-2044 (2020) - [j73]Meiling Xu, Min Han, C. L. Philip Chen, Tie Qiu:
Recurrent Broad Learning Systems for Time Series Prediction. IEEE Trans. Cybern. 50(4): 1405-1417 (2020) - [j72]Zhouhua Peng, Dan Wang, Tieshan Li, Min Han:
Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance. IEEE Trans. Cybern. 50(6): 2527-2535 (2020) - [j71]Jing-ying Zhao, Hai Guo, Likun Wang, Min Han:
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. 67(7): 5349-5359 (2020) - [j70]Kai Zhong, Min Han, Tie Qiu, Bing Han:
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1581-1591 (2020) - [j69]Min Han, Zhiyu Lyu, Tie Qiu, Meiling Xu:
A Review on Intelligence Dehazing and Color Restoration for Underwater Images. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1820-1832 (2020) - [c75]Jing-ying Zhao, Min Han, Hai Guo, Haoran Tang, Na Dong, Enming Zhao:
Bagging of Gaussian Process for Large Generator Eddy Current Prediction. ICACI 2020: 184-188 - [c74]Junzhu Ma, Min Han, Jun Wang:
Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update. ICACI 2020: 432-438 - [c73]Weijie Li, Min Han, Jun Wang:
Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction. ICACI 2020: 439-445 - [c72]Xin Li, Weijie Ren, Jingying Zhao, Min Han:
Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting. ICACI 2020: 446-452 - [c71]Tao Jiang, Min Han, Jun Wang:
Time-series Prediction Based on VMD and Stack Recurrent Neural Network. ICACI 2020: 522-528 - [e1]Min Han, Sitian Qin, Nian Zhang:
Advances in Neural Networks - ISNN 2020 - 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4-6, 2020, Proceedings. Lecture Notes in Computer Science 12557, Springer 2020, ISBN 978-3-030-64220-4 [contents]
2010 – 2019
- 2019
- [j68]Fei Lv, Min Han:
Hyperspectral image classification based on multiple reduced kernel extreme learning machine. Int. J. Mach. Learn. Cybern. 10(12): 3397-3405 (2019) - [j67]Shoubo Feng, Weijie Ren, Min Han, Yen-Wei Chen:
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective. Neural Networks 117: 179-190 (2019) - [j66]Weijie Ren, Min Han:
Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine. Neural Process. Lett. 50(2): 1281-1301 (2019) - [j65]Jianchao Fan, Kai Lin, Min Han:
A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(2): 685-699 (2019) - [j64]Min Han, Shuhui Zhang, Meiling Xu, Tie Qiu, Ning Wang:
Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm. IEEE Trans. Cybern. 49(4): 1160-1172 (2019) - [j63]Min Han, Weijie Ren, Meiling Xu, Tie Qiu:
Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series. IEEE Trans. Cybern. 49(5): 1885-1895 (2019) - [j62]Meiling Xu, Min Han, Tie Qiu, Hongfei Lin:
Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction. IEEE Trans. Cybern. 49(6): 2305-2315 (2019) - [j61]Min Han, Kai Zhong, Tie Qiu, Bing Han:
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview. IEEE Trans. Cybern. 49(7): 2720-2731 (2019) - [j60]Min Han, Shoubo Feng, C. L. Philip Chen, Meiling Xu, Tie Qiu:
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction. IEEE Trans. Knowl. Data Eng. 31(9): 1809-1821 (2019) - [j59]Min Han, Meng Zhang, Tie Qiu, Meiling Xu:
UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks. IEEE Trans. Neural Networks Learn. Syst. 30(1): 255-268 (2019) - [j58]Meiling Xu, Yuanzhe Yang, Min Han, Tie Qiu, Hongfei Lin:
Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1621-1634 (2019) - [j57]Ning Wang, Shun-Feng Su, Min Han, Wen-Hua Chen:
Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1322-1337 (2019) - [j56]Min Han, Ruiquan Zhang, Tie Qiu, Meiling Xu, Weijie Ren:
Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 2144-2154 (2019) - [c70]Weiguo Xia, Ji Liu, Shuang Li, Xi-Ming Sun, Min Han:
Resilient Exponential Consensus with Time-Varying Adversary Attacks and Asynchronous Events. CDC 2019: 5438-5443 - [c69]Yikuan Yu, Fei Li, Yu Zheng, Min Han, Xinyi Le:
Clustering-enhanced PointCNN for Point Cloud Classification Learning. IJCNN 2019: 1-6 - [c68]Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng:
Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL 2019: 158-168 - [c67]Dazi Li, Chengjia Lei, Qibing Jin, Min Han:
Regularization in DQN for Parameter-Varying Control Learning Tasks. ISNN (2) 2019: 35-44 - [c66]Bin Sun, Guo-Zhong Li, Min Han, Qiu-Hua Lin:
A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images. ISNN (2) 2019: 414-421 - [c65]Jianchao Fan, Xiaoxin Liu, Yuanyuan Hu, Min Han:
PolSAR Marine Aquaculture Detection Based on Nonlocal Stacked Sparse Autoencoder. ISNN (2) 2019: 469-476 - [c64]Songwei Zhang, Tie Qiu, Min Han, Azizur Rahim, Wenbing Zhao:
An Evolutional Networking Model for Three-Dimensional Topology in Internet of Things. SMC 2019: 1355-1359 - 2018
- [j55]Meiling Xu, Min Han, Hongfei Lin:
Wavelet-denoising multiple echo state networks for multivariate time series prediction. Inf. Sci. 465: 439-458 (2018) - [j54]Danchen Zheng, Wangshu Liu, Min Han:
Learning contextual dissimilarity on tensor product graph for visual re-ranking. Image Vis. Comput. 79: 1-10 (2018) - [j53]Fei Lv, Min Han:
Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm. Sensors 18(11): 3601 (2018) - [j52]Tie Qiu, Kaiyu Zheng, Min Han, C. L. Philip Chen, Meiling Xu:
A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities. IEEE Trans. Ind. Informatics 14(5): 2042-2051 (2018) - [j51]Min Han, Meiling Xu:
Laplacian Echo State Network for Multivariate Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 29(1): 238-244 (2018) - [j50]Ning Wang, Jing-Chao Sun, Min Han, Zhongjiu Zheng, Meng Joo Er:
Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3747-3760 (2018) - [c63]Meiling Xu, Xin Li, Min Han:
Chaotic Time Series Prediction Based on Improved MOPSO-ELM. ACC 2018: 4863-4868 - [c62]Weijie Li, Min Han, Shoubo Feng:
Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA. ICONIP (6) 2018: 56-66 - [c61]Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin:
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. IJCNN 2018: 1-6 - [c60]Shuhui Zhang, Min Han, Meiling Xu:
Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter. IJCNN 2018: 1-6 - [c59]Jianchao Fan, Jianhua Zhao, Min Han, Xinxin Wang, Bingnan Li:
Marine Aquaculture Targets Automatic Recognition Based on GF-3 PolSAR Imagery. ISNN 2018: 451-458 - [c58]Yu Li, Min Han, Bing Han, Xinyi Le, Shunshoku Kanae:
Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm. ISNN 2018: 656-664 - [c57]Fei Lv, Min Han, Tie Qiu:
Classification of Hyperspectral Remote Sensing Image Data from IoT Based on Rotation Forest and ELM with Kernel. SmartIoT 2018: 229-234 - [c56]Deyi Wang, Jianchao Fan, Min Han, Ping Guo, Yuzhen Lu:
Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery. SSCI 2018: 1902-1905 - 2017
- [j49]Fei Lv, Min Han, Tie Qiu:
Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder. IEEE Access 5: 9021-9031 (2017) - [j48]Tie Qiu, Ruixuan Qiao, Min Han, Arun Kumar Sangaiah, Ivan Lee:
A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things. IEEE Commun. Mag. 55(11): 132-137 (2017) - [j47]Tie Qiu, Jie Liu, Weisheng Si, Min Han, Huansheng Ning, Mohammed Atiquzzaman:
A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities. IEEE Commun. Mag. 55(12): 18-23 (2017) - [j46]Tie Qiu, Xize Liu, Min Han, Mingchu Li, Yushuang Zhang:
SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT. Comput. Networks 129: 481-492 (2017) - [j45]Min Han, Chengkun Zhang:
Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding. Neurocomputing 243: 133-141 (2017) - [j44]Tie Qiu, Xize Liu, Min Han, Huansheng Ning, Dapeng Oliver Wu:
A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Things. IEEE Internet Things J. 4(6): 1879-1889 (2017) - [j43]Min Han, Ruiquan Zhang, Meiling Xu:
Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm. Neural Process. Lett. 46(2): 705-717 (2017) - [j42]Tie Qiu, Kaiyu Zheng, Houbing Song, Min Han, Burak Kantarci:
A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid. IEEE Trans. Ind. Informatics 13(6): 3195-3205 (2017) - [c55]Rong Zhao, Tieshan Li, Cheng Liu, Philip C. L. Chen, Min Han:
Event-triggered course-tracking control of marine surface vessels. ICCA 2017: 391-396 - [c54]Shoubo Feng, Meiling Xu, Min Han:
Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine. ICONIP (4) 2017: 402-409 - [c53]Xiaolin Cheng, Meiling Xu, Min Han:
Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine. ICONIP (4) 2017: 410-418 - [c52]Qi Qin, Tieshan Li, Cheng Liu, C. L. Philip Chen, Min Han:
Virtual Structure Formation Control via Sliding Mode Control and Neural Networks. ISNN (2) 2017: 101-108 - [c51]Meng Zhang, Min Han:
Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control. ISNN (2) 2017: 161-168 - [c50]Ruixuan Qiao, Tie Qiu, Min Han, Jianhua Ma, Runhe Huang:
An Emergent Backpressure Queueing Model for Internet of Things. iThings/GreenCom/CPSCom/SmartData 2017: 651-654 - 2016
- [j41]Min Han, Meng Zhang, Yamei Zhang:
Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters. Neurocomputing 171: 605-614 (2016) - [j40]Min Han, Xue Yang, Enda Jiang:
An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images. Neurocomputing 198: 27-34 (2016) - [j39]Min Han, Yamei Zhang:
Complex function projective synchronization in drive-response complex-variable dynamical networks with coupling time delays. J. Frankl. Inst. 353(8): 1742-1758 (2016) - [j38]Yang Zhou, Jie Lian, Min Han:
Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine. IEEE Geosci. Remote. Sens. Lett. 13(10): 1405-1409 (2016) - [j37]Meiling Xu, Min Han:
Adaptive Elastic Echo State Network for Multivariate Time Series Prediction. IEEE Trans. Cybern. 46(10): 2173-2183 (2016) - [c49]Meng Zhang, Min Han:
Finite-time projective synchronization control of uncertain complex networks with brushless DC motor and Rikitake system. ICACI 2016: 100-107 - [c48]Meiling Xu, Min Han, Shunshoku Kanae:
L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction. ICONIP (3) 2016: 12-19 - [c47]Min Han, Chengkun Zhang, Jun Wang:
Superpixel-based sparse representation classifier for hyperspectral image. IJCNN 2016: 3614-3619 - [c46]Min Han, Chengkun Zhang, Jun Wang:
Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis. ISNN 2016: 21-29 - [c45]Min Han, Yamei Zhang:
Finite-time topology identification function projective synchronization of Cohen-Grossberg neural networks with time delays and stochastic disturbance. SMC 2016: 750-755 - [c44]Muluken Regas Eressa, Danchen Zheng, Min Han:
PID and neural net controller performance comparsion in UAV pitch attitude control. SMC 2016: 762-767 - 2015
- [j36]Sunan Ge, Jie Han, Min Han:
Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm. Circuits Syst. Signal Process. 34(9): 2935-2950 (2015) - [j35]Min Han, Weijie Ren, Xiaoxin Liu:
Joint mutual information-based input variable selection for multivariate time series modeling. Eng. Appl. Artif. Intell. 37: 250-257 (2015) - [j34]Xinying Wang, Min Han:
Improved extreme learning machine for multivariate time series online sequential prediction. Eng. Appl. Artif. Intell. 40: 28-36 (2015) - [j33]Min Han, Meiling Xu, Xiaoxin Liu, Xinying Wang:
Online multivariate time series prediction using SCKF-γESN model. Neurocomputing 147: 315-323 (2015) - [j32]Min Han, Ben Liu:
Ensemble of extreme learning machine for remote sensing image classification. Neurocomputing 149: 65-70 (2015) - [j31]Min Han, Zhanji Cao:
An improved case-based reasoning method and its application in endpoint prediction of basic oxygen furnace. Neurocomputing 149: 1245-1252 (2015) - [j30]Min Han, Weijie Ren:
Global mutual information-based feature selection approach using single-objective and multi-objective optimization. Neurocomputing 168: 47-54 (2015) - [j29]Min Han, Meiling Xu:
Predicting Multivariate Time Series Using Subspace Echo State Network. Neural Process. Lett. 41(2): 201-209 (2015) - [j28]Ning Wang, Meng Joo Er, Min Han:
Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks. IEEE Trans. Cybern. 45(12): 2732-2743 (2015) - [j27]Ning Wang, Meng Joo Er, Min Han:
Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 23(5): 1414-1427 (2015) - [j26]Ning Wang, Meng Joo Er, Min Han:
Generalized Single-Hidden Layer Feedforward Networks for Regression Problems. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1161-1176 (2015) - [c43]Min Han, Yang Zhou:
Joint-classification change detection based on improved fuzzy ARTMAP. IGARSS 2015: 346-349 - [c42]Yuyan Xue, Min Han:
Image reconstruction via statistical classification for magnetic induction tomography. IJCNN 2015: 1-7 - [c41]Min Han, Yamei Zhang:
Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation. ISNN 2015: 19-27 - 2014
- [j25]Min Han, Chuang Liu:
Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine. Appl. Soft Comput. 19: 430-437 (2014) - [j24]Ning Wang, Min Han, Nuo Dong, Meng Joo Er:
Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification. Neurocomputing 128: 59-72 (2014) - [j23]Xinying Wang, Min Han:
Online sequential extreme learning machine with kernels for nonstationary time series prediction. Neurocomputing 145: 90-97 (2014) - [j22]Min Han, Chuang Liu, Jun Xing:
An evolutionary membrane algorithm for global numerical optimization problems. Inf. Sci. 276: 219-241 (2014) - [j21]Jianchao Fan, Jun Wang, Min Han:
Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods. IEEE Trans. Fuzzy Syst. 22(4): 829-839 (2014) - [j20]Ning Wang, Meng Joo Er, Min Han:
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1828-1841 (2014) - [c40]Bin Yang, Lei Wang, Chenxin Fan, Min Han:
New delay-dependent stability criteria for networks with time-varying delays. ACC 2014: 2881-2886 - [c39]Min Han, Xinying Wang:
Weighted support vector echo state machine for multivariate dynamic system modeling. ACC 2014: 4824-4828 - [c38]Ning Wang, Bijun Dai, Yancheng Liu, Min Han:
Adaptive robust tracking control of surface vessels using dynamic constructive fuzzy neural networks. FUZZ-IEEE 2014: 377-382 - [c37]Xinying Wang, Min Han:
Multivariate time series prediction based on multiple kernel extreme learning machine. IJCNN 2014: 198-201 - [c36]Ning Wang, Nuo Dong, Min Han:
Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks. IJCNN 2014: 1380-1385 - [c35]Ning Wang, Bijun Dai, Yancheng Liu, Min Han:
Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances. IJCNN 2014: 3278-3283 - [c34]Pan Qin, Min Han:
Robust structure selection of radial basis function networks for nonlinear system identification. IJCNN 2014: 3284-3288 - [c33]Danchen Zheng, Min Han:
Human Action Recognition Based on Difference Silhouette and Static Reservoir. ISNN 2014: 489-498 - 2013
- [j19]Min Han, Xiaoxin Liu:
Feature selection techniques with class separability for multivariate time series. Neurocomputing 110: 29-34 (2013) - [j18]Jie Lian, Yanli Ge, Min Han:
Stabilization for switched stochastic neutral systems under asynchronous switching. Inf. Sci. 222: 501-508 (2013) - [j17]Danchen Zheng, Min Han:
Shape retrieval and recognition based on fuzzy histogram. J. Vis. Commun. Image Represent. 24(7): 1009-1019 (2013) - [c32]Chuang Liu, Min Han:
Dynamic Evolutionary Membrane Algorithm in Dynamic Environments. EvoCOP 2013: 145-156 - [c31]Min Han, Xinying Wang:
Robust neural predictor for noisy chaotic time series prediction. IJCNN 2013: 1-5 - [c30]Ning Wang, Xuming Wang, Yue Tan, Pingbo Shao, Min Han:
An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples. ISNN (2) 2013: 53-60 - [c29]Ning Wang, Min Han, Nuo Dong, Meng Joo Er, Gangjian Liu:
On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems. ISNN (2) 2013: 61-69 - [c28]Ning Wang, Min Han, Guifeng Yu, Meng Joo Er, Fanchao Meng, Shulei Sun:
Generalized Single-Hidden Layer Feedforward Networks. ISNN (1) 2013: 91-98 - [c27]Min Han, Ben Liu:
A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble. ISNN (1) 2013: 447-454 - [c26]Min Han, Xinying Wang:
Multi Reservoir Support Vector Echo State Machine for Multivariate Time Series Prediction. SMC 2013: 983-987 - 2012
- [j16]Min Han, Xinrong Zhu, Wei Yao:
Remote sensing image classification based on neural network ensemble algorithm. Neurocomputing 78(1): 133-138 (2012) - [j15]Decai Li, Min Han, Jun Wang:
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network. IEEE Trans. Neural Networks Learn. Syst. 23(5): 787-799 (2012) - [c25]Jianchao Fan, Min Han:
Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c24]Min Han, Meiling Xu:
Subspace Echo State Network for Multivariate Time Series Prediction. ICONIP (5) 2012: 681-688 - [c23]Min Han, Xinying Wang:
A modified fast recursive hidden nodes selection algorithm for ELM. IJCNN 2012: 1-7 - [c22]Min Han, Xiaoxin Liu:
Forward Feature Selection Based on Approximate Markov Blanket. ISNN (2) 2012: 64-72 - [c21]Xinying Wang, Min Han:
Multivariate chaotic time series prediction based on Hierarchic Reservoirs. SMC 2012: 384-388 - 2011
- [j14]Min Han, Yao Zhao:
Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine. Expert Syst. Appl. 38(12): 14786-14798 (2011) - [j13]Min Han, Zhi-ping Liang, Decai Li:
Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy. Neurocomputing 74(10): 1664-1672 (2011) - [j12]Min Han, Jianchao Fan, Jun Wang:
A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control. IEEE Trans. Neural Networks 22(9): 1457-1468 (2011) - [c20]Yang Li, Min Han:
Case-based reasoning system based on Bayesian rough set and hierarchical mixture of experts model. iCAST 2011: 339-343 - [c19]Min Han, Liwen Jiang:
Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning. ISNN (3) 2011: 313-322 - 2010
- [j11]Xiaoliang Tang, Min Han:
Semi-supervised Bayesian ARTMAP. Appl. Intell. 33(3): 302-317 (2010) - [j10]Xinzhe Wang, Min Han, Jun Wang:
Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction. Eng. Appl. Artif. Intell. 23(6): 1012-1018 (2010) - [c18]Min Han, Decai Li:
Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection. ISNN (1) 2010: 413-421 - [c17]Min Han, Dayun Mu:
Multi-reservoir Echo State Network with Sparse Bayesian Learning. ISNN (1) 2010: 450-456 - [c16]Min Han, Zhi-ping Liang:
Probability Density Estimation Based on Nonparametric Local Kernel Regression. ISNN (1) 2010: 465-472
2000 – 2009
- 2009
- [j9]Min Han, Yunxia Liu:
Noise reduction method for chaotic signals based on dual-wavelet and spatial correlation. Expert Syst. Appl. 36(6): 10060-10067 (2009) - [j8]Zhiwei Shi, Min Han:
gamma-C plane and robustness in static reservoir for nonlinear regression estimation. Neurocomputing 72(7-9): 1732-1743 (2009) - [j7]Xiaoliang Tang, Min Han:
Partial Lanczos extreme learning machine for single-output regression problems. Neurocomputing 72(13-15): 3066-3076 (2009) - [j6]Jianchao Fan, Min Han, Jun Wang:
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation. Pattern Recognit. 42(11): 2527-2540 (2009) - [c15]Decai Li, Min Han:
A Fast Two Stage Density Estimation Based on Extreme Learning Machine. IC-AI 2009: 357-361 - [c14]Min Han, Jianchao Fan, Bing Han:
An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization. IJCNN 2009: 1083-1089 - [c13]Min Han, Wei Yao:
A two-step Pansharpening of ETM+ TIR image based on SFIM and neural network regression. SMC 2009: 1371-1375 - [c12]Min Han, Jianchao Fan:
Delay Nonlinear System Predictive Control On MPSO+DNN. SMC 2009: 4309-4314 - 2008
- [j5]Min Han, Yannan Sun, Yingnan Fan:
An improved fuzzy neural network based on T-S model. Expert Syst. Appl. 34(4): 2905-2920 (2008) - [j4]Min Han, Jia Yin:
The hidden neurons selection of the wavelet networks using support vector machines and ridge regression. Neurocomputing 72(1-3): 471-479 (2008) - [c11]Min Han, Ru Wei, Decai Li:
Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis. IJCNN 2008: 758-764 - 2007
- [j3]Jie Dong, Min Han:
BitTableFI: An efficient mining frequent itemsets algorithm. Knowl. Based Syst. 20(4): 329-335 (2007) - [c10]Min Han, Ru Wei:
Variable Selection for Multivariate Time Series Prediction with Neural Networks. ICONIP (1) 2007: 415-425 - [c9]Min Han, Wei Guo, Yunfeng Mu:
A Modified RBF Neural Network in Pattern Recognition. IJCNN 2007: 2527-2532 - [c8]Min Han, Jia Yin:
Orthogonal Least Squares Based on QR Decomposition for Wavelet Networks. ISNN (2) 2007: 569-574 - 2006
- [j2]Min Han, Bing Han, Jianhui Xi, Kotaro Hirasawa:
Universal learning network and its application for nonlinear system with long time delay. Comput. Chem. Eng. 31(1): 13-20 (2006) - [c7]Min Han, Mingming Fan:
Application of neural networks on multivariate time series modeling and prediction. ACC 2006: 1-6 - [c6]Min Han, Wei Guo, Mingming Fan:
Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network. ISNN (2) 2006: 741-746 - [c5]Bing Han, Min Han:
Predictive Control Method of Improved Double-Controller Scheme Based on Neural Networks. ISNN (2) 2006: 949-955 - [c4]Min Han, Mingming Fan:
Multivariate Time Series Prediction by Neural Network Combining SVD. SMC 2006: 3884-3889 - 2005
- [c3]Min Han, Yuhua Liu, Jianhui Xi, Zhiwei Shi:
A Systematic Chaotic Noise Reduction Method Combining with Neural Network. ISNN (2) 2005: 580-585 - [c2]Min Han, Mingming Fan, Jianhui Xi:
Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks. ISNN (2) 2005: 618-623 - 2004
- [c1]Min Han, Zhiwei Shi, Wei Wang:
Modeling Dynamic System by Recurrent Neural Network with State Variables. ISNN (2) 2004: 200-205 - 2003
- [j1]Min Han, Lei Cheng, Hua Meng:
Application of four-layer neural network on information extraction. Neural Networks 16(5-6): 547-553 (2003)
Coauthor Index
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