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Hong He 0001
Person information
- affiliation: University of Shanghai for Science and Technology, School of Health Science and Engineering, China
- affiliation (PhD): East China University of Science and Technology, Shanghai, China
Other persons with the same name
- Hong He — disambiguation page
- Hong He 0002 — Beijing University of Technology, Beijing Key Laboratory for Green Catalysis and Separation, Faculty of Environment and Life, China
- Hong He 0003 — Capital University of Economics and Business, China
- Hong He 0004 — Shandong University, School of Information Engineering, Jinan, China (and 1 more)
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2020 – today
- 2024
- [j19]Haipeng Zhu, Hong He, Huifang Zhou:
IMoVR-Net: A robust interpretable network for multi-ocular lesion recognition from TAO facial images. Comput. Biol. Medicine 168: 107771 (2024) - [j18]Yanbing Wang, Hong He:
Electroencephalogram Emotion Recognition Based on Manifold Geomorphological Features in Riemannian Space. IEEE Intell. Syst. 39(4): 23-36 (2024) - [j17]Haipeng Zhu, Hong He:
A novel residual fourier convolution model for brain tumor segmentation of mr images. Pattern Anal. Appl. 27(4): 111 (2024) - 2023
- [j16]Hui Xu, Hong He, Wei Xue, Zhuangzhuang Dai, Yong Hao:
Transfer learning and clustering analysis of epileptic EEG signals on Riemannian manifold. Appl. Soft Comput. 146: 110656 (2023) - [j15]Wei Xue, Hong He:
A progressive learning classifier based on dynamic differential weighted network for feature identification of brain network series. Knowl. Based Syst. 274: 110661 (2023) - [j14]Haipeng Zhu, Huifang Zhou, Hong He, Jiayu Chen, Xuefei Song, Kunhao Li, Lei Zhou:
A novel encoder-decoder wavelet model for multifocal region segmentation of TAO facial images. Neural Comput. Appl. 35(26): 19145-19167 (2023) - 2022
- [c13]Haipeng Zhu, Hong He, Neil Roberts, Kunhao Li:
A Deformable Convolution Encoder with Multi-scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images. CCBR 2022: 633-644 - 2021
- [j13]Hong He, Xinyue Liu, Yong Hao:
A progressive deep wavelet cascade classification model for epilepsy detection. Artif. Intell. Medicine 118: 102117 (2021) - [j12]Hong He, Shuda Chen:
Identification of facial expression using a multiple impression feedback recognition model. Appl. Soft Comput. 113(Part): 107930 (2021) - [c12]Huimin Zhang, Hong He, Yong Hao, Hui Xu:
Brain Connectivity Feature Mining of Post-Encephalitis Epilepsy. ICCPR 2021: 18-23 - 2020
- [j11]Hong He, Yonghong Tan, Jun Ying, Wuxiong Zhang:
Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm. Appl. Soft Comput. 94: 106426 (2020) - [j10]Hong He, Yonghong Tan:
Unsupervised Classification of Multivariate Time Series Using VPCA and Fuzzy Clustering With Spatial Weighted Matrix Distance. IEEE Trans. Cybern. 50(3): 1096-1105 (2020)
2010 – 2019
- 2019
- [j9]Hong He, Yonghong Tan, Jianfeng Xing:
Unsupervised classification of 12-lead ECG signals using wavelet tensor decomposition and two-dimensional Gaussian spectral clustering. Knowl. Based Syst. 163: 392-403 (2019) - [c11]Yonghong Tan, Ruili Dong, Hong He:
Neural Network Based Modeling of Hysteresis in Smart Material Based Sensors. ISNN (2) 2019: 162-172 - 2018
- [j8]Hong He, Yonghong Tan, Wuxiong Zhang:
A wavelet tensor fuzzy clustering scheme for multi-sensor human activity recognition. Eng. Appl. Artif. Intell. 70: 109-122 (2018) - [j7]Hong He, Yonghong Tan:
Pattern Clustering of Hysteresis Time Series With Multivalued Mapping Using Tensor Decomposition. IEEE Trans. Syst. Man Cybern. Syst. 48(6): 993-1004 (2018) - [c10]Hong He, Yonghong Tan, Wei Yang, Feihu Peng, Wuxiong Zhang:
Automatic Hysteresis Feature Recognition of Vehicle Dampers Using Duhem Model and Clustering. ISCID (1) 2018: 65-70 - 2017
- [j6]Hong He, Yonghong Tan:
Automatic pattern recognition of ECG signals using entropy-based adaptive dimensionality reduction and clustering. Appl. Soft Comput. 55: 238-252 (2017) - [c9]Hong He, Yonghong Tan, Jifeng Huang:
Unsupervised classification of smartphone activities signals using wavelet packet transform and half-cosine fuzzy clustering. FUZZ-IEEE 2017: 1-6 - 2016
- [c8]Yonghong Tan, Yanyan Li, Ruili Dong, Xiang Chen, Hong He:
A nonsmooth Kalman filter for state estimation of positioning stage based on sandwich model with backlash-like hysteresis. ACC 2016: 661-666 - [c7]Hong He, Yonghong Tan, Ken'ichi Fujimoto:
Estimation of optimal cluster number for fuzzy clustering with combined fuzzy entropy index. FUZZ-IEEE 2016: 697-703 - [c6]Yonghong Tan, Ruili Dong, Yanyan Li, Xiang Chen, Hong He:
Nonsmooth dynamic filtering for mechanical servo-systems. ICCA 2016: 505-510 - 2015
- [j5]Hong He, Yonghong Tan, Yuexia Wang:
Optimal Base Wavelet Selection for ECG Noise Reduction Using a Comprehensive Entropy Criterion. Entropy 17(9): 6093-6109 (2015) - [c5]Hong He, Zheng Wang, Yonghong Tan:
Noise reduction of ECG signals through genetic optimized wavelet threshold filtering. CIVEMSA 2015: 1-6 - 2013
- [c4]Yonghong Tan, Zupeng Zhou, Ruili Dong, Hong He:
Fault detection of mechanical systems with inherent backlash. ICNSC 2013: 77-82 - [c3]Hong He, Yonghong Tan, Xin Liu:
Feature extraction of ECG signals in meridian systems using wavelet packet transform and clustering algorithms. ICNSC 2013: 183-187 - 2012
- [j4]Yonghong Tan, Ruili Dong, Hui Chen, Hong He:
Neural network based identification of hysteresis in human meridian systems. Int. J. Appl. Math. Comput. Sci. 22(3): 685-694 (2012) - [j3]Hong He, Yonghong Tan:
A two-stage genetic algorithm for automatic clustering. Neurocomputing 81: 49-59 (2012) - [j2]Hong He, Yonghong Tan:
Corrigendum to "A two-stage genetic algorithm for automatic clustering" [Neurocomputing 81 (2012) 49-59]. Neurocomputing 85: 68 (2012) - [j1]Yonghong Tan, Ruili Dong, Hui Chen, Hong He:
Identification of Hysteresis in Human Meridian Systems Based on NARMAX Model. J. Appl. Math. 2012: 451927:1-451927:16 (2012) - [c2]Zupeng Zhou, Yonghong Tan, Ruili Dong, Hong He:
Non-smooth Observer for Mechanical Systems Based on Sandwich Model with Backlash. ICIRA (1) 2012: 611-621 - 2011
- [c1]Hong He, Yonghong Tan:
A dynamic genetic clustering algorithm for automatic choice of the number of clusters. ICCA 2011: 544-549
Coauthor Index
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