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EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 1259-1271
作者:  Yu, Fang;  Cui, Li;  Wang, Pengcheng;  Han, Chuanqi;  Huang, Ruoran;  Huang, Xi
收藏  |  浏览/下载:41/0  |  提交时间:2021/12/01
Acceleration  Internet of Things  Computational modeling  Edge computing  Sensitivity analysis  Optimization  Convex functions  Deep neural networks (DNNs)  edge computing  filter pruning  model compression and acceleration  
TNAM: A tag-aware neural attention model for Top-N recommendation 期刊论文
NEUROCOMPUTING, 2020, 卷号: 385, 页码: 1-12
作者:  Huang, Ruoran;  Wang, Nian;  Han, Chuanqi;  Yu, Fang;  Cui, Li
收藏  |  浏览/下载:50/0  |  提交时间:2020/12/10
Recommender systems  Tag information  Deep learning  Attention networks