Depression assessment method: an EEG emotion recognition framework based on spatiotemporal neural network H Chang, Y Zong, W Zheng, C Tang, J Zhu, X Li Frontiers in Psychiatry 12, 837149, 2022 | 36 | 2022 |
EEG-Based Parkinson's Disease Recognition Via Attention-based Sparse Graph Convolutional Neural Network H Chang, B Liu, Y Zong, C Lu, X Wang IEEE Journal of Biomedical and Health Informatics, 2023 | 35 | 2023 |
Genetic-based feature selection for efficient motion imaging of a brain–computer interface framework H Chang, J Yang Journal of neural engineering 15 (5), 056020, 2018 | 27 | 2018 |
An end-to-end depression recognition method based on EEGNet B Liu, H Chang, K Peng, X Wang Frontiers in Psychiatry 13, 864393, 2022 | 23 | 2022 |
Attention-based spatio-temporal graphic lstm for eeg emotion recognition X Li, W Zheng, Y Zong, H Chang, C Lu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 21 | 2021 |
A sparse-based transformer network with associated spatiotemporal feature for micro-expression recognition J Zhu, Y Zong, H Chang, Y Xiao, L Zhao IEEE Signal Processing Letters 29, 2073-2077, 2022 | 18 | 2022 |
Altered local field potential relationship between the parafascicular thalamic nucleus and dorsal striatum in hemiparkinsonian rats H Zhang, J Yang, X Wang, X Yao, H Han, Y Gao, H Chang, T Xiang, ... Neuroscience Bulletin 35, 315-324, 2019 | 17 | 2019 |
EEG-based major depressive disorder recognition by selecting discriminative features via stochastic search H Chang, Y Zong, W Zheng, Y Xiao, X Wang, J Zhu, M Shi, C Lu, H Yang Journal of Neural Engineering 20 (2), 026021, 2023 | 16 | 2023 |
E2ENNet: An end-to-end neural network for emotional brain-computer interface Z Han, H Chang, X Zhou, J Wang, L Wang, Y Shao Frontiers in Computational Neuroscience 16, 942979, 2022 | 15 | 2022 |
Automated selection of a channel subset based on the genetic algorithm in a motor imagery brain-computer interface system H Chang, J Yang IEEE access 7, 154180-154191, 2019 | 15 | 2019 |
Subject-independent eeg emotion recognition based on genetically optimized projection dictionary pair learning J Su, J Zhu, T Song, H Chang Brain Sciences 13 (7), 977, 2023 | 12 | 2023 |
Deep learning for iris recognition: a review Y Yin, S He, R Zhang, H Chang, X Han, J Zhang arXiv preprint arXiv:2303.08514, 2023 | 12 | 2023 |
Electrophysiological and neurochemical considerations of distinct neuronal populations in the rat pedunculopontine nucleus and their responsiveness following 6-hydroxydopamine … X Wang, X Geng, M Li, J Xie, D Chen, H Han, X Meng, X Yao, H Zhang, ... Frontiers in Neuroscience 13, 1034, 2019 | 10 | 2019 |
Adaptive hierarchical graph convolutional network for eeg emotion recognition Y Xue, W Zheng, Y Zong, H Chang, X Jiang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 9 | 2022 |
Implicitly aligning joint distributions for cross-corpus speech emotion recognition C Lu, Y Zong, C Tang, H Lian, H Chang, J Zhu, S Li, Y Zhao Electronics 11 (17), 2745, 2022 | 6 | 2022 |
MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology X Chen, Y Kong, H Chang, Y Gao, Z Liu, JL Coatrieux, H Shu Biomedical Signal Processing and Control 92, 106051, 2024 | 5 | 2024 |
Adapting Multiple Distributions for Bridging Emotions from Different Speech Corpora Y Zong, H Lian, H Chang, C Lu, C Tang Entropy 24 (9), 1250, 2022 | 3 | 2022 |
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition J Zhu, Y Zong, J Shi, C Lu, H Chang, W Zheng arXiv preprint arXiv:2310.04664, 2023 | 2 | 2023 |
Joint patch weighting and moment matching for unsupervised domain adaptation in micro-expression recognition J Zhu, Y Zong, H Chang, L Zhao, C Tang IEICE TRANSACTIONS on Information and Systems 105 (2), 441-445, 2022 | 2 | 2022 |
Exploring holistic discriminative representation for micro-expression recognition via contrastive learning J Zhu, W He, F Wang, H Chang, C Lu, Y Zong Image and Vision Computing 149, 105186, 2024 | 1 | 2024 |