Hong He - RankMe

36 papers B 2C 1Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing ocular sign detection: AI-based strategic segmentation for improved accuracy and privacy protection. npj Digit. Medicine Chaoyu Lei, Chen Zhao, Jiayu Chen, Xuran Duan, Chudi Xu, Chee Chew Yip, Sunisa Sintuwong, Jianbin Ding, P. S. Pandiyan, Sunsern Wattanaphanich, Yujie Ren, Siqi Luo, Xuefei Song, Hong He, Xiaohong Liu, Huifang Zhou
2026	J	`jnl`	GSML: Graph structure self-evolution recognition model based on multi-task learning. Neural Comput. Appl. Wei Xue, Hong He
2025	J	`jnl`	A cross-scale Gaussian wavelet model with decomposition cross-consistency for TAO multifocal region semi-supervised segmentation. Soft Comput. Haipeng Zhu, Hong He, Xuefei Song
2025	J	`jnl`	SAGN: Sparse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual-View Brain Networks. IEEE Trans. Neural Networks Learn. Syst. Wei Xue, Hong He, Yanbing Wang, Ying Zhao
2024	J	`jnl`	A novel residual fourier convolution model for brain tumor segmentation of mr images. Pattern Anal. Appl. Haipeng Zhu, Hong He
2024	J	`jnl`	Electroencephalogram Emotion Recognition Based on Manifold Geomorphological Features in Riemannian Space. IEEE Intell. Syst. Yanbing Wang, Hong He
2024	J	`jnl`	IMoVR-Net: A robust interpretable network for multi-ocular lesion recognition from TAO facial images. Comput. Biol. Medicine Haipeng Zhu, Hong He, Huifang Zhou
2023	J	`jnl`	A novel encoder-decoder wavelet model for multifocal region segmentation of TAO facial images. Neural Comput. Appl. Haipeng Zhu, Huifang Zhou, Hong He, Jiayu Chen, Xuefei Song, Kunhao Li, Lei Zhou
2023	J	`jnl`	A progressive learning classifier based on dynamic differential weighted network for feature identification of brain network series. Knowl. Based Syst. Wei Xue, Hong He
2023	J	`jnl`	Transfer learning and clustering analysis of epileptic EEG signals on Riemannian manifold. Appl. Soft Comput. Hui Xu, Hong He, Wei Xue, Zhuangzhuang Dai, Yong Hao
2022	—	`conf`	A Deformable Convolution Encoder with Multi-scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images. CCBR Haipeng Zhu, Hong He, Neil Roberts, Kunhao Li
2021	J	`jnl`	A progressive deep wavelet cascade classification model for epilepsy detection. Artif. Intell. Medicine Hong He, Xinyue Liu, Yong Hao
2021	—	`conf`	Brain Connectivity Feature Mining of Post-Encephalitis Epilepsy. ICCPR Huimin Zhang, Hong He, Yong Hao, Hui Xu
2021	J	`jnl`	Identification of facial expression using a multiple impression feedback recognition model. Appl. Soft Comput. Hong He, Shuda Chen
2020	J	`jnl`	Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm. Appl. Soft Comput. Hong He, Yonghong Tan, Jun Ying, Wuxiong Zhang
2020	J	`jnl`	Unsupervised Classification of Multivariate Time Series Using VPCA and Fuzzy Clustering With Spatial Weighted Matrix Distance. IEEE Trans. Cybern. Hong He, Yonghong Tan
2019	—	`conf`	Neural Network Based Modeling of Hysteresis in Smart Material Based Sensors. ISNN (2) Yonghong Tan, Ruili Dong, Hong He
2019	J	`jnl`	Unsupervised classification of 12-lead ECG signals using wavelet tensor decomposition and two-dimensional Gaussian spectral clustering. Knowl. Based Syst. Hong He, Yonghong Tan, Jianfeng Xing
2018	J	`jnl`	A wavelet tensor fuzzy clustering scheme for multi-sensor human activity recognition. Eng. Appl. Artif. Intell. Hong He, Yonghong Tan, Wuxiong Zhang
2018	—	`conf`	Automatic Hysteresis Feature Recognition of Vehicle Dampers Using Duhem Model and Clustering. ISCID (1) Hong He, Yonghong Tan, Wei Yang, Feihu Peng, Wuxiong Zhang
2018	J	`jnl`	Pattern Clustering of Hysteresis Time Series With Multivalued Mapping Using Tensor Decomposition. IEEE Trans. Syst. Man Cybern. Syst. Hong He, Yonghong Tan
2017	J	`jnl`	Automatic pattern recognition of ECG signals using entropy-based adaptive dimensionality reduction and clustering. Appl. Soft Comput. Hong He, Yonghong Tan
2017	B	`conf`	Unsupervised classification of smartphone activities signals using wavelet packet transform and half-cosine fuzzy clustering. FUZZ-IEEE Hong He, Yonghong Tan, Jifeng Huang
2016	C	`conf`	A nonsmooth Kalman filter for state estimation of positioning stage based on sandwich model with backlash-like hysteresis. ACC Yonghong Tan, Yanyan Li, Ruili Dong, Xiang Chen, Hong He
2016	B	`conf`	Estimation of optimal cluster number for fuzzy clustering with combined fuzzy entropy index. FUZZ-IEEE Hong He, Yonghong Tan, Ken'ichi Fujimoto
2016	—	`conf`	Nonsmooth dynamic filtering for mechanical servo-systems. ICCA Yonghong Tan, Ruili Dong, Yanyan Li, Xiang Chen, Hong He
2015	—	`conf`	Noise reduction of ECG signals through genetic optimized wavelet threshold filtering. CIVEMSA Hong He, Zheng Wang, Yonghong Tan
2015	J	`jnl`	Optimal Base Wavelet Selection for ECG Noise Reduction Using a Comprehensive Entropy Criterion. Entropy Hong He, Yonghong Tan, Yuexia Wang
2013	—	`conf`	Fault detection of mechanical systems with inherent backlash. ICNSC Yonghong Tan, Zupeng Zhou, Ruili Dong, Hong He
2013	—	`conf`	Feature extraction of ECG signals in meridian systems using wavelet packet transform and clustering algorithms. ICNSC Hong He, Yonghong Tan, Xin Liu
2012	J	`jnl`	A two-stage genetic algorithm for automatic clustering. Neurocomputing Hong He, Yonghong Tan
2012	J	`jnl`	Corrigendum to "A two-stage genetic algorithm for automatic clustering" [Neurocomputing 81 (2012) 49-59]. Neurocomputing Hong He, Yonghong Tan
2012	J	`jnl`	Identification of Hysteresis in Human Meridian Systems Based on NARMAX Model. J. Appl. Math. Yonghong Tan, Ruili Dong, Hui Chen, Hong He
2012	J	`jnl`	Neural network based identification of hysteresis in human meridian systems. Int. J. Appl. Math. Comput. Sci. Yonghong Tan, Ruili Dong, Hui Chen, Hong He
2012	—	`conf`	Non-smooth Observer for Mechanical Systems Based on Sandwich Model with Backlash. ICIRA (1) Zupeng Zhou, Yonghong Tan, Ruili Dong, Hong He
2011	—	`conf`	A dynamic genetic clustering algorithm for automatic choice of the number of clusters. ICCA Hong He, Yonghong Tan