Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Li, Youjie"'
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art method for graph-based learning tasks. However, training GCNs at scale is still challenging, hindering both the exploration of more sophisticated GCN architectures and their app
Externí odkaz:
http://arxiv.org/abs/2203.10983
Autor:
Wan, Cheng, Li, Youjie, Wolfe, Cameron R., Kyrillidis, Anastasios, Kim, Nam Sung, Lin, Yingyan
Graph Convolutional Networks (GCNs) is the state-of-the-art method for learning graph-structured data, and training large-scale GCNs requires distributed training across multiple accelerators such that each accelerator is able to hold a partitioned s
Externí odkaz:
http://arxiv.org/abs/2203.10428
Deep neural networks (DNNs) have grown exponentially in size over the past decade, leaving only those who have massive datacenter-based resources with the ability to develop and train such models. One of the main challenges for the long tail of resea
Externí odkaz:
http://arxiv.org/abs/2202.01306
Publikováno v:
In Journal of Environmental Management September 2024 367
Publikováno v:
In Journal of Building Engineering 1 November 2024 96
Autor:
Han, Xuejia, Ding, Wensi, Qu, Guiwu, Li, Youjie, Wang, Pingyu, Yu, Jiahui, Liu, Mingyue, Chen, Xiulan, Xie, Shuyang, Feng, Jiankai, Xu, Sen
Publikováno v:
In Respiratory Physiology & Neurobiology April 2024 322
Publikováno v:
In Applied Soft Computing December 2023 149 Part A
Akademický článek
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Autor:
Wang, Zirui, Li, Shuyao, Zhou, Qiubai, Zhang, Jinhua, Li, Yongan, Li, Youjie, Yuan, Zhiwen, Huang, Guanghua
Publikováno v:
In Animal Nutrition June 2023 13:229-239
Autor:
Yu, Mingchao, Lin, Zhifeng, Narra, Krishna, Li, Songze, Li, Youjie, Kim, Nam Sung, Schwing, Alexander, Annavaram, Murali, Avestimehr, Salman
Data parallelism can boost the training speed of convolutional neural networks (CNN), but could suffer from significant communication costs caused by gradient aggregation. To alleviate this problem, several scalar quantization techniques have been de
Externí odkaz:
http://arxiv.org/abs/1811.03617