中国科学院计算技术研究所机构知识库

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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
	In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator 期刊论文 INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2020, 卷号: 16, 期号: 1, 页码: 13 作者:  Gao Yuan;  Zhao Ze;  Huang Changcheng;  Han Chuanqi;  Cui Li 收藏  |  浏览/下载：59/0  |  提交时间：2020/12/10 In-vehicle localization  Bluetooth Low Energy  received signal strength indicator  multi-channel  Adaboost  support vector machine  device calibration