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Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：244/61  |  提交时间：2022/12/27
Decoding  Brain modeling  Functional magnetic resonance imaging  Predictive models  Emotion recognition  Dimensionality reduction  Pattern recognition  Fine-grained emotion decoding  multi-label learning  multi-view learning  product of experts (PoEs)  variational autoencoder  
Multi-Modal Domain Adaptation Variational Auto-encoder for EEG-Based Emotion Recognition 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 9, 页码: 1612-1626
作者:  Wang, Yixin;  Qiu, Shuang;  Li, Dan;  Du, Changde;  Lu, Bao-Liang;  He, Huiguang
收藏  |  浏览/下载：182/0  |  提交时间：2022/11/14
Cycle-consistency  domain adaptation  electroencephalograph (EEG)  multi modality  variational autoencoder  
Bidirectional Siamese correlation analysis method for enhancing the detection of SSVEPs 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2022, 卷号: 19, 期号: 4, 页码: 20
作者:  Zhang, Xinyi;  Qiu, Shuang;  Zhang, Yukun;  Wang, Kangning;  Wang, Yijun;  He, Huiguang
收藏  |  浏览/下载：177/0  |  提交时间：2022/09/19
brain-computer interface (BCI)  electroencephalogram (EEG)  deep learning  steady-state visual evoked potential (SSVEP)  
ERP prototypical matching net: a meta-learning method for zero-calibration RSVP-based image retrieval 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2022, 卷号: 19, 期号: 2, 页码: 17
作者:  Wei, Wei;  Qiu, Shuang;  Zhang, Yukun;  Mao, Jiayu;  He, Huiguang
收藏  |  浏览/下载：181/0  |  提交时间：2022/06/10
EEG  RSVP-based BCI  zero-calibration  meta-learning  prototypical matching  
Time-Distributed Attention Network for EEG-Based Motor Imagery Decoding From the Same Limb 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 496-508
作者:  Ma, Xuelin;  Qiu, Shuang;  He, Huiguang
收藏  |  浏览/下载：188/0  |  提交时间：2022/06/06
Attention mechanism  electroencephalography (EEG)  fine motor imagery  same limb  
Neural Encoding for Human Visual Cortex With Deep Neural Networks Learning "What" and "Where" 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 13, 期号: 4, 页码: 827-840
作者:  Wang, Haibao;  Huang, Lijie;  Du, Changde;  Li, Dan;  Wang, Bo;  He, Huiguang
收藏  |  浏览/下载：195/0  |  提交时间：2022/01/27
Visualization  Feature extraction  Encoding  Brain modeling  Biological neural networks  Sociology  Statistics  Deep neural network (DNN)  neural encoding  regularization  "what" and "where"  
Continuous theta-burst stimulation modulates resting-state EEG microstates in healthy subjects 期刊论文
COGNITIVE NEURODYNAMICS, 2021, 页码: 11
作者:  Qiu, Shuang;  Wang, Shengpei;  Peng, Weiwei;  Yi, Weibo;  Zhang, Chuncheng;  Zhang, Jing;  He, Huiguang
收藏  |  浏览/下载：181/0  |  提交时间：2021/12/28
Continuous theta-burst stimulation  Resting-state EEG  Brain dynamics  EEG microstate  Microstate functional connectivity  
Target Detection Using Ternary Classification During a Rapid Serial Visual Presentation Task Using Magnetoencephalography Data 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13
作者:  Zhang, Chuncheng;  Qiu, Shuang;  Wang, Shengpei;  He, Huiguang
收藏  |  浏览/下载：168/0  |  提交时间：2021/04/27
RSVP  ERP  MEG  CNN  SVM  
Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 547, 页码: 1025-1044
作者:  Li, Dan;  Du, Changde;  Wang, Shengpei;  Wang, Haibao;  He, Huiguang
Adobe PDF(2428Kb)  |  收藏  |  浏览/下载：338/47  |  提交时间：2021/03/02
Data augmentation  Semantic decoding  Multi-view adversarial learning  Sparse reconstruction relation  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：267/62  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.