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Transverse MNP Signal-Based Isotropic Imaging for Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Li, Lei;  Liao, Yidong;  Wang, Qibin;  Zhang, Zhonghao;  Ge, Dawei;  Hu, Jiawei;  He, Ning;  Liu, Yanjun;  Xu, Chenxiao;  Gao, Yunpeng;  Guo, Pengyue;  Hui, Hui;  Feng, Xin;  Zhu, Shouping;  Tian, Jie
收藏  |  浏览/下载：9/0  |  提交时间：2024/03/26
Isotropic resolution  magnetic particle imaging (MPI)  reconstruction  transverse magnetic nanoparticle (MNP) signal  
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study 期刊论文
ECLINICALMEDICINE, 2023, 卷号: 65, 页码: 14
作者:  Zhao, Kun;  Chen, Pindong;  Alexander-Bloch, Aaron;  Wei, Yongbin;  Dyrba, Martin;  Yang, Fan;  Kang, Xiaopeng;  Wang, Dawei;  Fan, Dongsheng;  Ye, Shan;  Tang, Yi;  Yao, Hongxiang;  Zhou, Bo;  Lu, Jie;  Yu, Chunshui;  Wang, Pan;  Liao, Zhengluan;  Chen, Yan;  Huang, Longjian;  Zhang, Xi;  Han, Ying;  Li, Shuyu;  Liu, Yong
收藏  |  浏览/下载：20/0  |  提交时间：2024/02/22
Alzheimer's disease  Neuroimaging biomarker  Multisite  Specific  Longitudinal progression  
Multi-task safe reinforcement learning for navigating intersections in dense traffic 期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 卷号: 360, 期号: 17, 页码: 13737-13760
作者:  Liu, Yuqi;  Gao, Yinfeng;  Zhang, Qichao;  Ding, Dawei;  Zhao, Dongbin
收藏  |  浏览/下载：18/0  |  提交时间：2024/02/22
Spatial-temporal knowledge graph network for event prediction 期刊论文
NEUROCOMPUTING, 2023, 卷号: 553, 页码: 11
作者:  Huai, Zepeng;  Zhang, Dawei;  Yang, Guohua;  Tao, Jianhua
收藏  |  浏览/下载：58/0  |  提交时间：2023/11/17
Multi -event prediction  Knowledge graph  Dynamic graph embedding  
Hierarchical graph attention network for temporal knowledge graph reasoning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 550, 页码: 8
作者:  Shao, Pengpeng;  He, Jiayi;  Li, Guanjun;  Zhang, Dawei;  Tao, Jianhua
收藏  |  浏览/下载：90/0  |  提交时间：2023/11/17
Temporal knowledge graphs  Graph attention network  Reasoning  
Four Distinct Subtypes of Alzheimer?s Disease Based on Resting-State Connectivity Biomarkers 期刊论文
BIOLOGICAL PSYCHIATRY, 2023, 卷号: 93, 期号: 9, 页码: 759-769
作者:  Chen, Pindong;  Yao, Hongxiang;  Tijms, Betty M.;  Wang, Pan;  Wang, Dawei;  Song, Chengyuan;  Yang, Hongwei;  Zhang, Zengqiang;  Zhao, Kun;  Qu, Yida;  Kang, Xiaopeng;  Du, Kai;  Fan, Lingzhong;  Han, Tong;  Yu, Chunshui;  Zhang, Xi;  Jiang, Tianzi;  Zhou, Yuying;  Lu, Jie;  Han, Ying;  Liu, Bing;  Zhou, Bo;  Liu, Yong
收藏  |  浏览/下载：103/0  |  提交时间：2023/11/17
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion 会议论文
, 美国纽约, 2020-2-7
作者:  Feihu Che;  Dawei Zhang;  Jianhua Tao;  Mingyue Niu;  Bocheng Zhao
Adobe PDF(880Kb)  |  收藏  |  浏览/下载：173/33  |  提交时间：2022/06/20
AI4AD: Artificial intelligence analysis for Alzheimer's disease classification based on a multisite DTI database 期刊论文
Brain Disorders, 2021, 卷号: 1, 期号: 1, 页码: 10005
作者:  Qu, Yida;  Wang, Pan;  Liu, Bing;  Song, Chengyuan;  Wang, Dawei;  Yang, Hongwei;  Zhang, Zengqiang;  Chen, Pindong;  Kang, Xiaopeng;  Du, Kai;  Yao, Hongxiang;  Zhou, Bo;  Han, Tong;  Zuo, Nianming;  Han, Ying;  Lu, Jie;  Yu, Chunshui;  Zhang, Xi;  Jiang, Tianzi;  Zhou, Yuying;  Liu, Yong
Adobe PDF(957Kb)  |  收藏  |  浏览/下载：336/109  |  提交时间：2022/06/16
Alzheimer's disease (AD)  Diffusion tensor imaging (DTI)  Multisite  Automated fiber quantification (AFQ)  Classification  
Tucker decomposition-based temporal knowledge graph completion 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 9
作者:  Shao, Pengpeng;  Zhang, Dawei;  Yang, Guohua;  Tao, Jianhua;  Che, Feihu;  Liu, Tong
Adobe PDF(611Kb)  |  收藏  |  浏览/下载：234/39  |  提交时间：2022/06/10
Temporal knowledge graphs  Tucker decomposition  Reconstruction  Contrastive learning  
Multi-aspect self-supervised learning for heterogeneous information network 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Che, Feihu;  Tao, Jianhua;  Yang, Guohua;  Liu, Tong;  Zhang, Dawei
Adobe PDF(2661Kb)  |  收藏  |  浏览/下载：203/43  |  提交时间：2021/12/28
Heterogeneous information network  Self-supervised  Contrastive learning  Graph neural network