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：Li, Bing分Li, Bing    作者：Wang, Ying    第一作者

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	A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376 作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)
	Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1588-1596 作者:  Lv, Hao;  Li, Bing;  Zhang, Lei;  Liu, Cheng;  Wang, Ying 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Security  Hardware  Neuromorphic engineering  Computational modeling  Circuit faults  Resistance  Immune system  Adversarial attack  fault injection attack  neuromorphic computing system (NCS)  processing in memory  reliability  resistive memory
	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)