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CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载:13/6  |  提交时间:2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
Journal of Systems Science and Complexity, 2024, 卷号: 37, 页码: 82-113
作者:  Jinhan Zhang;  Jiahao Chen;  Shanlin Zhong;  Hong Qiao
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载:48/12  |  提交时间:2024/06/04
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 5626-5640
作者:  Zitong, Yu;  Benjia, Zhou;  Jun, Wan;  Pichao, Wang;  Haoyu, Chen;  Xin, Liu;  Stan, Z., Li;  Guoying, Zhao
Adobe PDF(3793Kb)  |  收藏  |  浏览/下载:24/8  |  提交时间:2024/06/03
Line-Based 3D Building Abstraction and Polygonal Surface Reconstruction From Images 期刊论文
IEEE Transactions on Visualization and Computer Graphics, 2022, 卷号: xx, 期号: xx, 页码: 1-15
作者:  Guo, Jianwei;  Liu, Yanchao;  Song, Xin;  Liu, Haoyu;  Zhang, Xiaopeng;  Cheng, Zhanglin
Adobe PDF(6913Kb)  |  收藏  |  浏览/下载:28/10  |  提交时间:2024/06/03
3D reconstruction  3D Line cloud  Scene abstraction  Polygonal mesh model  
Parallel learning: a perspective and a framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 3, 页码: 389 - 395
作者:  Li Li;  Yilun Lin;  Nanning Zheng;  Fei-Yue Wang
Adobe PDF(1354Kb)  |  收藏  |  浏览/下载:140/33  |  提交时间:2023/03/07
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载:266/35  |  提交时间:2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
浏览  |  Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:296/75  |  提交时间:2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction