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CASIA OpenIR
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GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：472/206  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
High-fidelity View Synthesis for Light Field Imaging With Extended Pseudo 4DCNN 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2020, 卷号: 6, 页码: 830-842
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Wang, Zilei;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(7054Kb)  |  收藏  |  浏览/下载：188/36  |  提交时间：2020/09/28
View synthesis  light field reconstruction  end-to-end  structure preserving  extended pseudo 4DCNN  
Attention-based Convolutional Approach for Misinformation Identification from Massive and Noisy Microblog Posts 期刊论文
computers & security, 2019, 期号: 83, 页码: 106-121
作者:  Yu, Feng;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(1601Kb)  |  收藏  |  浏览/下载：246/97  |  提交时间：2020/06/08
information security  social network  misinformation identification  early detection  convolutional neural network  
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 9, 页码: 4274-4286
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Hou, Guangqi;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4648Kb)  |  收藏  |  浏览/下载：336/23  |  提交时间：2018/10/10
Implicitly Multi-scale Fusion  Bidirectional Recurrent Convolutional Neural Network  Light-field  Super-resolution  
Enhanced Biologically Inspired Model for Object Recognition 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 卷号: 41, 期号: 6, 页码: 1668-1680
作者:  Huang, Yongzhen;  Huang, Kaiqi;  Tao, Dacheng;  Tan, Tieniu;  Li, Xuelong
收藏  |  浏览/下载：187/0  |  提交时间：2015/08/12
Biologically Inspired Model (Bim)  Feedback  Object Recognition  Sparseness