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Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 卷号: 45, 期号: 9, 页码: 10760 - 10777
作者:  Du Changde(杜长德);  Fu Kaicheng(付铠城);  Li Jinpeng(李劲鹏);  He Huiguang(何晖光)
Adobe PDF(4669Kb)  |  收藏  |  浏览/下载：433/73  |  提交时间：2023/05/05
Brain-visual-linguistic embedding  generic neural decoding  multimodal learning  mutual information maximization  
Semi-supervised cross-modal image generation with generative adversarial networks 期刊论文
Pattern Recognition, 2020, 卷号: 100, 页码: 107085
作者:  Li D(李丹);  Du CD(杜长德);  He HG(何晖光)
Adobe PDF(4031Kb)  |  收藏  |  浏览/下载：129/37  |  提交时间：2023/05/05
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
作者:  Du, Changde;  Du, Changying;  Huang, Lijie;  Wang, Haibao;  He, Huiguang
Adobe PDF(8742Kb)  |  收藏  |  浏览/下载：433/165  |  提交时间：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  
Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 8, 页码: 0-0
作者:  Bo,Wang;  Wei,Wei;  Shuang,Qiu;  Shengpei,Wang;  Huiguang,He
Adobe PDF(23227Kb)  |  收藏  |  浏览/下载：296/36  |  提交时间：2021/06/21
Retinal layers segmentation  Boundary detection  OCT  BAU-Net  Topology guarantee loss  
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 4, 页码: 1128-1138
作者:  Bo,Wang;  Shengpei,Wang;  Shuang,Qiu;  Wei,Wei;  Haibao,Wang;  Huiguang,He
Adobe PDF(6892Kb)  |  收藏  |  浏览/下载：296/46  |  提交时间：2021/06/21
Fundus images  blood vessel segmentation  CSU-Net  feature fusion  structure loss  
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
作者:  Du, Changde;  Du, Changying;  He, Huiguang
Adobe PDF(2917Kb)  |  收藏  |  浏览/下载：228/41  |  提交时间：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
作者:  Li, Dan;  Du, Changde;  Wang, Shengpei;  Wang, Haibao;  He, Huiguang
Adobe PDF(2428Kb)  |  收藏  |  浏览/下载：374/57  |  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：303/67  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
Reducing Calibration Efforts in RSVP Tasks With Multi-Source Adversarial Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 11, 页码: 2344-2355
作者:  Wei, Wei;  Qiu, Shuang;  Ma, Xuelin;  Li, Dan;  Wang, Bo;  He, Huiguang
浏览  |  Adobe PDF(2448Kb)  |  收藏  |  浏览/下载：410/106  |  提交时间：2021/01/06
Electroencephalography  Calibration  Correlation  Brain modeling  Task analysis  Feature extraction  Visualization  EEG  RSVP-based BCI  calibration reduction  multi-source domain adaptation  correlation metric learning  
A prototype-based SPD matrix network for domain adaptation EEG emotion recognition 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 110, 期号: 1, 页码: 12
作者:  Wang, Yixin;  Qiu, Shuang;  Ma, Xuelin;  He, Huiguang
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：473/133  |  提交时间：2021/01/06
EEG  Emotion recognition  Domain adaptation  SPD matrix  Riemannian manifold  Prototype learning