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	作者：Wang, Ying    第一作者    发表日期：2022

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	Dadu-SV: Accelerate Stereo Vision Processing on NPU 期刊论文 IEEE EMBEDDED SYSTEMS LETTERS, 2022, 卷号: 14, 期号: 4, 页码: 191-194 作者:  Min, Feng;  Wang, Ying;  Xu, Haobo;  Huang, Junpei;  Wang, Yujie;  Zou, Xingqi;  Lu, Meixuan;  Han, Yinhe 收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12 Hardware acceleration  neural computing  neural processing unit (NPU)  semiglobal matching (SGM)  stereo vision
	TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity 期刊论文 IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2022, 卷号: 16, 期号: 4, 页码: 636-650 作者:  Wang, Haibing;  He, Zhen;  Wang, Tengxiao;  He, Junxian;  Zhou, Xichuan;  Wang, Ying;  Liu, Liyuan;  Wu, Nanjian;  Tian, Min;  Shi, Cong 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Neurons  Neuromorphics  Hardware  System-on-chip  Field programmable gate arrays  Synapses  Self-organizing feature maps  Neuromorphic system  spiking neural network  spike-timing dependent plasticity  self-organizing map  reinforce- ment learning  on-chip learning
	A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 卷号: 69, 期号: 3, 页码: 1657-1661 作者:  He, Zhen;  Shi, Cong;  Wang, Tengxiao;  Wang, Ying;  Tian, Min;  Zhou, Xichuan;  Li, Ping;  Liu, Liyuan;  Wu, Nanjian;  Luo, Gang 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07 Neurons  Hardware  System-on-chip  Costs  Training  Field programmable gate arrays  Computational modeling  Neuromorphic computing  spiking neural network  extreme learning machine  spike-timing-dependent plasticity  reward-modulated  on-chip learning
	An Automated Quantization Framework for High-Utilization RRAM-Based PIM 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 3, 页码: 583-596 作者:  Li, Bing;  Qu, Songyun;  Wang, Ying 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07 Quantization (signal)  Neural networks  Computational modeling  Data models  Hardware  Resource management  Arrays  AutoML  neural network  processing-in-memory (PIM)  quantization  resistive memory (RRAM)