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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 专题：计算技术研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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 收藏  |  浏览/下载：30/0  |  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   Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch 期刊论文 IEEE ACCESS, 2021, 卷号: 9, 页码: 51134-51145 作者:  Zhong, Qiaoling;  Zhang, Zhibin;  Qiu, Qiang;  Cheng, Xueqi 收藏  |  浏览/下载：17/0  |  提交时间：2021/12/01 Network pruning  inference acceleration  model compression  multiple GPUs   A deep neural network compression algorithm based on knowledge transfer for edge devices 期刊论文 COMPUTER COMMUNICATIONS, 2020, 卷号: 163, 页码: 186-194 作者:  Chen, Yanming;  Li, Chao;  Gong, Luqi;  Wen, Xiang;  Zhang, Yiwen 收藏  |  浏览/下载：120/0  |  提交时间：2020/12/10 Edge device  Deep learning  Neural network compression  Knowledge transfer   Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626 作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Liu, Lei;  Xue, Jingling 收藏  |  浏览/下载：30/0  |  提交时间：2021/12/01 Deep learning system  edge intelligence  model compression and acceleration  neural networks   Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 968-985 作者:  Zeng, Xi;  Zhi, Tian;  Zhou, Xuda;  Du, Zidong;  Guo, Qi 收藏  |  浏览/下载：13/0  |  提交时间：2020/12/10 Accelerator  architecture  deep neural networks  sparsity   A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks 期刊论文 IEEE DESIGN & TEST, 2020, 卷号: 37, 期号: 1, 页码: 36-45 作者:  He, Xin;  Yan, Guihai;  Lu, Wenyan;  Zhang, Xuan;  Liu, Ke 收藏  |  浏览/下载：6/0  |  提交时间：2020/12/10 Resilience  Energy consumption  Approximate computing  Collaboration  Computational modeling  Artificial neural networks  Optimization  Neural network  Energy efficient computing  Network pruning  Approximate computing   Transfer channel pruning for compressing deep domain adaptation models 期刊论文 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3129-3144 作者:  Yu, Chaohui;  Wang, Jindong;  Chen, Yiqiang;  Qin, Xin 收藏  |  浏览/下载：4/0  |  提交时间：2020/12/10 Unsupervised domain adaptation  Transfer channel pruning  Accelerating   CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 71607-71615 作者:  Fan, Shengyu;  Yu, Hui;  Lu, Dianjie;  Liu, Zhiyong;  Liu, Fangai 收藏  |  浏览/下载：37/0  |  提交时间：2019/08/16 Convolutional neural network  sparse matrix vector multiplication  neural networks  convolution  sparse matrices   Using semantic links to support top-K join queries in peer-to-peer networks 期刊论文 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2007, 卷号: 19, 期号: 15, 页码: 2031-2046 作者:  Liu, Jie;  Feng, Liang;  Zhuge, Hai 收藏  |  浏览/下载：23/0  |  提交时间：2019/12/16 join query  Knowledge Grid  peer-to-peer  peer data management  semantic link  top-K query  processing