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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
Authors:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Favorite  |  View/Download:28/0  |  Submit date: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  
Exploring the brain-like properties of deep neural networks: a neural encoding perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
Authors:  Qiongyi Zhou;  Changde Du;  Huiguang He
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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
Authors:  Wang, Yixin;  Qiu, Shuang;  Li, Dan;  Du, Changde;  Lu, Bao-Liang;  He, Huiguang
Favorite  |  View/Download:26/0  |  Submit date:2022/11/14
Cycle-consistency  domain adaptation  electroencephalograph (EEG)  multi modality  variational autoencoder  
Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 24, 页码: 3287-3299
Authors:  Dan Li;  Changde Du;  Haibao Wang;  Qiongyi Zhou;  Huiguang He
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Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 600-614
Authors:  Du, Changde;  Du, Changying;  Huang, Lijie;  Wang, Haibao;  He, Huiguang
Favorite  |  View/Download:57/0  |  Submit date:2022/03/17
Decoding  Image reconstruction  Functional magnetic resonance imaging  Visualization  Task analysis  Brain  Correlation  Deep neural network (DNN)  functional magnetic resonance imaging (fMRI)  image reconstruction  multioutput regression  neural decoding  
Multi-Modal Domain Adaptation Variational Autoencoder 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
Authors:  Yixin Wang;  Shuang Qiu;  Dan Li;  Changde Du;  Bao-Liang Lu;  Huiguang He
Adobe PDF(1908Kb)  |  Favorite  |  View/Download:46/5  |  Submit date:2022/08/19
Cycle-consistency  domain adaptation  electroencephalograph (EEG)  multi modality  variational autoencoder  
Neural Encoding and Decoding with a Flow-based Invertible Generative Model 期刊论文
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2022, 页码: Early Access
Authors:  Qiongyi Zhou;  Changde Du;  Dan Li;  Haibao Wang;  Jian K. Liu;  Huiguang He
Adobe PDF(2505Kb)  |  Favorite  |  View/Download:29/7  |  Submit date:2023/01/17
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
Authors:  Wang, Haibao;  Huang, Lijie;  Du, Changde;  Li, Dan;  Wang, Bo;  He, Huiguang
Favorite  |  View/Download:51/0  |  Submit date:2022/01/27
Visualization  Feature extraction  Encoding  Brain modeling  Biological neural networks  Sociology  Statistics  Deep neural network (DNN)  neural encoding  regularization  "what" and "where"  
Multimodal deep generative adversarial models for scalable doubly semi-supervised learning 期刊论文
INFORMATION FUSION, 2021, 卷号: 68, 页码: 118-130
Authors:  Du, Changde;  Du, Changying;  He, Huiguang
Favorite  |  View/Download:61/0  |  Submit date:2021/03/29
Multiview learning  Multimodal fusion  Generative adversarial networks  Deep generative models  Semi-supervised learning  
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
Authors:  Li, Dan;  Du, Changde;  Wang, Shengpei;  Wang, Haibao;  He, Huiguang
Adobe PDF(2428Kb)  |  Favorite  |  View/Download:121/10  |  Submit date:2021/03/02
Data augmentation  Semantic decoding  Multi-view adversarial learning  Sparse reconstruction relation