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A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 9, 页码: 2635-2646
作者:  He, Yintao;  Li, Bing;  Wang, Ying;  Liu, Cheng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：7/0  |  提交时间：2024/12/06
Task analysis  Sparse matrices  Convolution  Convolutional neural networks  Design automation  Neural networks  Integrated circuits  Graph convolutional network  hardware acceleration  processing-in-memory  
RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 83940-83948
作者:  Liao, Lianjun;  Zhang, Zihao;  Xia, Shihong
收藏  |  浏览/下载：34/0  |  提交时间：2022/12/07
Image restoration  Cameras  Convolutional neural networks  Task analysis  Adaptation models  Image edge detection  Trajectory  Attention mechanism  graph neural network  graph reasoning network  image deblur  image processing  
Graph Jigsaw Learning for Cartoon Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3961-3972
作者:  Li, Yong;  Lao, Lingjie;  Cui, Zhen;  Shan, Shiguang;  Yang, Jian
收藏  |  浏览/下载：38/0  |  提交时间：2022/12/07
Face recognition  Shape  Training  Image color analysis  Layout  Convolutional neural networks  Task analysis  Cartoon face recognition  jigsaw solving  graph convolutional network  self-supervised learning  
Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection 期刊论文
WIRELESS NETWORKS, 2020, 卷号: 26, 期号: 3, 页码: 1549-1561
作者:  Sun, Jiayi;  Li, Liang;  Li, Wenchao;  Zhang, Jiyong;  Yan, Chenggang
收藏  |  浏览/下载：79/0  |  提交时间：2020/12/10
Cross-modality topic detection  Sentiment analysis  Convolutional neural network  Graph topic model  
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
收藏  |  浏览/下载：45/0  |  提交时间：2020/12/10
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network