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VigilanceNet: Decouple Intra- and Inter-Modality Learning for Multimodal Vigilance Estimation in RSVP-Based BCI 会议论文
, Lisboa, Portugal, 2022-10-10
作者:  Cheng XY(程昕钰);  Wei W(魏玮);  Du CD(杜长德);  Qiu S(邱爽);  Tian SL(田三力);  Ma XJ(马小军);  He HG(何晖光)
Adobe PDF(2488Kb)  |  收藏  |  浏览/下载：217/57  |  提交时间：2023/05/31
Vigilance Estimation  Multimodal  EEG  EOG  Rapid Serial Visual Presentation  
Dynamic Weighted Filter Bank Domain Adaptation for Motor Imagery Brain-Computer Interfaces 期刊论文
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2022, 页码: 1-1
作者:  Yukun Zhang;  Shuang Qiu;  Wei Wei;  Xuelin Ma;  Huiguang H
Adobe PDF(1058Kb)  |  收藏  |  浏览/下载：234/71  |  提交时间：2023/01/17
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：407/105  |  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：472/133  |  提交时间：2021/01/06
EEG  Emotion recognition  Domain adaptation  SPD matrix  Riemannian manifold  Prototype learning  
Deep Channel-Correlation Network for Motor Imagery Decoding From the Same Limb 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 1, 页码: 297-306
作者:  Ma, Xuelin;  Qiu, Shuang;  Wei, Wei;  Wang, Shengpei;  He, Huiguang
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：418/76  |  提交时间：2020/03/30
Channel-correlation network  electroen-cephalography (EEG)  ensemble learning  fine motor imagery  same limb  
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2310-2323
作者:  Du, Changde;  Du, Changying;  Huang, Lijie;  He, Huiguang
Adobe PDF(3773Kb)  |  收藏  |  浏览/下载：360/46  |  提交时间：2019/12/16
Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
Reconstructing Perceived Images from Human Brain Activities with Bayesian Deep Multi-view Learning 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2018, 期号: 0, 页码: 1-14
作者:  Du Changde;  Du Changying;  Huang Lijie;  He Huiguang
浏览  |  Adobe PDF(3843Kb)  |  收藏  |  浏览/下载：503/209  |  提交时间：2019/05/05
Deep Neural Network  Multi-view Learning  Variational Bayesian Inference  Neural Decoding  Image Reconstruction  
Sharing deep generative representation for perceived image reconstruction from human brain activity 会议论文
, Anchorage, Alaska, May 14, 2017 - May 19, 2017
作者:  Du Changde;  Du Changying;  He Huiguang
浏览  |  Adobe PDF(531Kb)  |  收藏  |  浏览/下载：402/125  |  提交时间：2019/05/05
Automatic brain labeling via multi-atlas guided fully convolutional networks 期刊论文
Medical Image Analysis, 2019, 期号: 52, 页码: 157-168
作者:  Longwei Fang;  Lichi Zhang;  Dong Nie;  Xiaohuan Cao;  Islem Rekik;  Seong-Whan Lee;  Huiguang He;  Dingguang Shen
浏览  |  Adobe PDF(2952Kb)  |  收藏  |  浏览/下载：530/182  |  提交时间：2019/05/05
Brain Image Labeling, Multi-atlas-based Method, Fully Convolutional Network, Patch-based Labeling  
Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children 期刊论文
HUMAN BRAIN MAPPING, 2017, 卷号: 38, 期号: 8, 页码: 3988-4008
作者:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang, Shengpei;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang;  He HG(何晖光)
浏览  |  Adobe PDF(938Kb)  |  收藏  |  浏览/下载：615/204  |  提交时间：2017/06/06
Tourette Syndrome  Diffusion Mri  Probabilistic Tractography  Structural Network  Graph Theory  Topological Organization  Multiple Kernel Learning