中国科学院计算技术研究所机构知识库

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限定条件	发表日期：2022    资助项目：National Natural Science Foundation of China[61732018]

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子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作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Multi-Node Acceleration for Large-Scale GCNs 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3140-3152 作者:  Sun, Gongjian;  Yan, Mingyu;  Wang, Duo;  Li, Han;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan 收藏  |  浏览/下载：25/0  |  提交时间：2023/07/12 Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization
	JBNN: A Hardware Design for Binarized Neural Networks Using Single-Flux-Quantum Circuits 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3203-3214 作者:  Fu, Rongliang;  Huang, Junying;  Wu, Haibin;  Ye, Xiaochun;  Fan, Dongrui;  Ho, Tsung-Yi 收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12 Superconducting  single-flux-quantum  accelerator  binarized neural network
	A synergistic reinforcement learning-based framework design in driving automation 期刊论文 COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 101, 页码: 15 作者:  Qi, Yuqiong;  Hu, Yang;  Wu, Haibin;  Li, Shen;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07 Autonomous Driving  Heterogeneous Multicore AI Accelerator  Criteria  Reinforcement Learning  Scheduling
	Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234 作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：30/0  |  提交时间：2022/06/21 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method
	Accelerating Graph Processing With Lightweight Learning-Based Data Reordering 期刊论文 IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 5-8 作者:  Zou, Mo;  Zhang, Mingzhe;  Wang, Rujia;  Sun, Xian-He;  Ye, Xiaochun;  Fan, Dongrui;  Tang, Zhimin 收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07 Instruction sets  Computational modeling  Predictive models  Big Data applications  Software  Optimization  Graph processing  reordering technique  learning-based prediction model