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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: 1-15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：311/73  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
Pairwise interactions in gene expression determine a hierarchical transcriptional profile in the human brain 期刊论文
Science Bulletin, 2021, 卷号: 66, 期号: 无, 页码: 无
作者:  Hua, Jiaojiao;  Yang, Zhengyi;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(3690Kb)  |  收藏  |  浏览/下载：244/54  |  提交时间：2021/06/17
Gene-gene interaction  Co-expression  Structural networkFunctional network  Functional network  Higher-order interactions  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载：325/64  |  提交时间：2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning  
Changes of Effective Connectivity in the Alpha Band Characterize Differential Processing of Audiovisual Information in Cross-Modal Selective Attention 期刊论文
NEUROSCIENCE BULLETIN, 2020, 卷号: 36, 期号: 9, 页码: 1009-1022
作者:  Niu, Weikun;  Jiang, Yuying;  Zhang, Xin;  Jiang, Tianzi;  Zhang, Yujin;  Yu, Shan
Adobe PDF(3941Kb)  |  收藏  |  浏览/下载：270/0  |  提交时间：2020/08/24
Human EEG  Audiovisual selective attention  Granger Causality  Pattern classification  
Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks 期刊论文
NEUROSCIENCE, 2019, 卷号: 412, 页码: 190-206
作者:  Niu, Weikun;  Huang, Xuhui;  Xu, Kaibin;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(7177Kb)  |  收藏  |  浏览/下载：409/69  |  提交时间：2019/12/16
task state fMRI  pairwise correlation  functional network  neural network model