中国科学院计算技术研究所机构知识库

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	Learning controllable elements oriented representations for reinforcement learning 期刊论文 NEUROCOMPUTING, 2023, 卷号: 549, 页码: 13 作者:  Yi, Qi;  Zhang, Rui;  Peng, Shaohui;  Guo, Jiaming;  Hu, Xing;  Du, Zidong;  Guo, Qi;  Chen, Ruizhi;  Li, Ling;  Chen, Yunji 收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04 Reinforcement learning  Representation learning
	Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 4, 页码: 936-949 作者:  Chen, Xiaobing;  Wang, Yuke;  Xie, Xinfeng;  Hu, Xing;  Basak, Abanti;  Liang, Ling;  Yan, Mingyu;  Deng, Lei;  Ding, Yufei;  Du, Zidong;  Xie, Yuan 收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07 Deep learning accelerator  graph neural network (GNN)
	Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 209-222 作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Zeng, Xi;  Li, Ling;  Cheng, Limin;  Xu, Zhiwei;  Sun, Ninghui;  Chen, Yunji 收藏  |  浏览/下载：41/0  |  提交时间：2022/06/21 Deep learning  Central Processing Unit  Process control  Task analysis  Computational modeling  Pipelines  Runtime  Neural net accelerators  system architectures  interaction wall
	Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 1, 页码: 116-128 作者:  Song, Xinkai;  Zhi, Tian;  Fan, Zhe;  Zhang, Zhenxing;  Zeng, Xi;  Li, Wei;  Hu, Xing;  Du, Zidong;  Guo, Qi;  Chen, Yunji 收藏  |  浏览/下载：37/0  |  提交时间：2022/06/21 Accelerator  architecture  graph neural networks (GNNs)
	Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019 作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi 收藏  |  浏览/下载：19/0  |  提交时间：2023/07/12 Neural network acceleration  low precision training  quantization
	A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21 作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji 收藏  |  浏览/下载：45/0  |  提交时间：2021/12/01 Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis
	Space-address decoupled scratchpad memory management for neural network accelerators 期刊论文 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 页码: 13 作者:  Zhang, Zhenxing;  Sun, Shiyan;  Chen, Xunyu;  Zhi, Tian;  Guo, Qi;  Chen, Yunji 收藏  |  浏览/下载：72/0  |  提交时间：2020/12/10 deep neural network  memory management  scratchpad memory