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Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 1763-1773
作者:  Xue, Xinghua;  Liu, Cheng;  Liu, Bo;  Huang, Haitong;  Wang, Ying;  Luo, Tao;  Zhang, Lei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Fault tolerant systems  Fault tolerance  Artificial neural networks  Convolution  Reliability  Computational modeling  Neurons  Fault-tolerance  soft errors  vulnerability analysis  winograd convolution (WG-Conv)  
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  
On-Line Fault Protection for ReRAM-Based Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 2, 页码: 423-437
作者:  Li, Wen;  Wang, Ying;  Liu, Cheng;  He, Yintao;  Liu, Lian;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Training  Fault detection  Computational modeling  Image edge detection  Memristors  Neural networks  Kernel  Deep neural network  hard fault  ReRAM  reliability  soft fault  
Amphis: Managing Reconfigurable Processor Architectures With Generative Adversarial Learning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 11, 页码: 3993-4003
作者:  Chen, Weiwei;  Wang, Ying;  Xu, Ying;  Gao, Chengsi;  Han, Yinhe;  Zhang, Lei
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Resource management  Predictive models  Runtime  Generators  Generative adversarial networks  Computational modeling  Training  Design space exploration  generative adversarial network (GAN)  reconfigurable processor  
HyCA: A Hybrid Computing Architecture for Fault-Tolerant Deep Learning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 10, 页码: 3400-3413
作者:  Liu, Cheng;  Chu, Cheng;  Xu, Dawen;  Wang, Ying;  Wang, Qianlong;  Li, Huawei;  Li, Xiaowei;  Cheng, Kwang-Ting
收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07
Circuit faults  Computational modeling  Deep learning  Hardware  Redundancy  Neural networks  Computer architecture  Deep learning accelerator (DLA)  fault detection  fault tolerance  hybrid computing architecture (HyCA)  
A Fast Precision Tuning Solution for Always-On DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1236-1248
作者:  Wang, Ying;  He, Yintao;  Cheng, Long;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07
Computer architecture  Neural networks  Computational modeling  Approximate computing  Tuning  Switches  Microprocessors  Always-on  CNN  computing-in-memory (CiM)  resistive RAM  
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)  
Reliability Evaluation and Analysis of FPGA-Based Neural Network Acceleration System 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2021, 卷号: 29, 期号: 3, 页码: 472-484
作者:  Xu, Dawen;  Zhu, Ziyang;  Liu, Cheng;  Wang, Ying;  Zhao, Shuang;  Zhang, Lei;  Liang, Huaguo;  Li, Huawei;  Cheng, Kwang-Ting
收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01
Neural networks  Circuit faults  Hardware  Acceleration  Reliability  Analytical models  Computational modeling  Integrated circuit reliability  reliability