Hong He
Orcid: 0000-0002-2584-2891Affiliations:
- University of Shanghai for Science and Technology, School of Health Science and Engineering, China
- East China University of Science and Technology, Shanghai, China (PhD)
According to our database1,
Hong He
authored at least 32 papers
between 2011 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2024
A novel residual fourier convolution model for brain tumor segmentation of mr images.
Pattern Anal. Appl., December, 2024
IMoVR-Net: A robust interpretable network for multi-ocular lesion recognition from TAO facial images.
Comput. Biol. Medicine, January, 2024
Electroencephalogram Emotion Recognition Based on Manifold Geomorphological Features in Riemannian Space.
IEEE Intell. Syst., 2024
2023
Transfer learning and clustering analysis of epileptic EEG signals on Riemannian manifold.
Appl. Soft Comput., October, 2023
A novel encoder-decoder wavelet model for multifocal region segmentation of TAO facial images.
Neural Comput. Appl., September, 2023
A progressive learning classifier based on dynamic differential weighted network for feature identification of brain network series.
Knowl. Based Syst., 2023
2022
A Deformable Convolution Encoder with Multi-scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images.
Proceedings of the Biometric Recognition - 16th Chinese Conference, 2022
2021
Identification of facial expression using a multiple impression feedback recognition model.
Appl. Soft Comput., 2021
Artif. Intell. Medicine, 2021
Proceedings of the ICCPR '21: 10th International Conference on Computing and Pattern Recognition, Shanghai, China, October 15, 2021
2020
Unsupervised Classification of Multivariate Time Series Using VPCA and Fuzzy Clustering With Spatial Weighted Matrix Distance.
IEEE Trans. Cybern., 2020
Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm.
Appl. Soft Comput., 2020
2019
Unsupervised classification of 12-lead ECG signals using wavelet tensor decomposition and two-dimensional Gaussian spectral clustering.
Knowl. Based Syst., 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
Pattern Clustering of Hysteresis Time Series With Multivalued Mapping Using Tensor Decomposition.
IEEE Trans. Syst. Man Cybern. Syst., 2018
A wavelet tensor fuzzy clustering scheme for multi-sensor human activity recognition.
Eng. Appl. Artif. Intell., 2018
Automatic Hysteresis Feature Recognition of Vehicle Dampers Using Duhem Model and Clustering.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018
2017
Automatic pattern recognition of ECG signals using entropy-based adaptive dimensionality reduction and clustering.
Appl. Soft Comput., 2017
Unsupervised classification of smartphone activities signals using wavelet packet transform and half-cosine fuzzy clustering.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
Estimation of optimal cluster number for fuzzy clustering with combined fuzzy entropy index.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
A nonsmooth Kalman filter for state estimation of positioning stage based on sandwich model with backlash-like hysteresis.
Proceedings of the 2016 American Control Conference, 2016
2015
Optimal Base Wavelet Selection for ECG Noise Reduction Using a Comprehensive Entropy Criterion.
Entropy, 2015
Noise reduction of ECG signals through genetic optimized wavelet threshold filtering.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2015
2013
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013
Feature extraction of ECG signals in meridian systems using wavelet packet transform and clustering algorithms.
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013
2012
J. Appl. Math., 2012
Corrigendum to "A two-stage genetic algorithm for automatic clustering" [Neurocomputing 81 (2012) 49-59].
Neurocomputing, 2012
Int. J. Appl. Math. Comput. Sci., 2012
Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012
2011
A dynamic genetic clustering algorithm for automatic choice of the number of clusters.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011