| SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG D Zhou, J Wang, G Hu, J Zhang, F Li, R Yan, L Kettunen, Z Chang, Q Xu, ... Biomedical Signal Processing and Control 75, 103592, 2022 | 38 | 2022 |
| LightSleepNet: A lightweight deep model for rapid sleep stage classification with spectrograms D Zhou, Q Xu, J Wang, J Zhang, G Hu, L Kettunen, Z Chang, F Cong 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 20 | 2021 |
| Snowball ICA: a model order free independent component analysis strategy for functional magnetic resonance imaging data G Hu, AB Waters, S Aslan, B Frederick, F Cong, LD Nickerson Frontiers in neuroscience 14, 569657, 2020 | 19 | 2020 |
| Examining stability of independent component analysis based on coefficient and component matrices for voxel-based morphometry of structural magnetic resonance imaging Q Zhang, G Hu, L Tian, T Ristaniemi, H Wang, H Chen, J Wu, F Cong Cognitive Neurodynamics 12, 461-470, 2018 | 11 | 2018 |
| Tensor clustering on outer-product of coefficient and component matrices of independent component analysis for reliable functional magnetic resonance imaging data decomposition G Hu, Q Zhang, AB Waters, H Li, C Zhang, J Wu, F Cong, LD Nickerson Journal of Neuroscience Methods 325, 108359, 2019 | 10 | 2019 |
| Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence K Liu, H Liu, T Wang, G Hu, TE Ward, CLP Chen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Consistency of independent component analysis for FMRI W Zhao, H Li, G Hu, Y Hao, Q Zhang, J Wu, BB Frederick, F Cong Journal of Neuroscience Methods 351, 109013, 2021 | 5 | 2021 |
| Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis G Hu, T Zhou, S Luo, R Mahini, J Xu, Y Chang, F Cong BioMedical Engineering OnLine 19, 1-18, 2020 | 5 | 2020 |
| Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data G Hu, H Li, W Zhao, Y Hao, Z Bai, LD Nickerson, F Cong bioRxiv, 2021.01. 14.426756, 2021 | 3 | 2021 |
| Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data G Hu, H Li, W Zhao, Y Hao, Z Bai, LD Nickerson, F Cong NeuroImage 255, 119193, 2022 | 2 | 2022 |
| An efficient functional magnetic resonance imaging data reduction strategy using neighborhood preserving embedding algorithm W Zhao, H Li, Y Hao, G Hu, Y Zhang, BB Frederick, F Cong Human Brain Mapping 43 (5), 1561-1576, 2022 | 2 | 2022 |
| Frequency specific co-activation pattern analysis via sparse nonnegative tensor decomposition G Hu, D Wang, S Luo, Y Hao, LD Nickerson, F Cong Journal of Neuroscience Methods 362, 109299, 2021 | 2 | 2021 |
| Efficient nonnegative tensor decomposition using alternating direction proximal method of multipliers D WANG, G HU Chinese Journal of Electronics 33 (5), 1308-1316, 2024 | 1 | 2024 |
| Altered temporoparietal junction activity during reflected self-evaluation in sub-clinical depression Y Lou, S Chen, G Hu, P Astikainen, SCSA Otieno-Leppänen, Y Lei, ... Cerebral Cortex 33 (12), 7553-7563, 2023 | 1 | 2023 |
| Corrigendum to ‘Accelerating regularized tensor decomposition using the alternating direction method of multipliers with multiple Nesterov’s extrapolations’[Signal Processing … D Wang, G Hu Signal Processing 225, 109633, 2024 | | 2024 |
| Accelerating regularized tensor decomposition using the alternating direction method of multipliers with multiple Nesterov’s extrapolations D Wang, G Hu Signal Processing 222, 109532, 2024 | | 2024 |
| Age Related Atypical Dynamic Brain Activity of Autism Spectrum Disorder Analyzed by Co-Activate Pattern Y Zhang, D Zhou, W Zhao, G Hu, F Cong, H Li | | |
| Validating Stability of Components Extracted by Nonnegative Matrix Factorization via Clustering T Zhou, G Huº, R Mahini, XF Gongº, OH Linº, F Cong | | |
Fengyu CongProfessor, Dalian University of Technology, China; Docent, University of Jyvaskyla, Finland在 dlut.edu.cn 的电子邮件经过验证
