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Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 1, 页码: 366-379
作者:  Han, Husheng;  Hu, Xing;  Hao, Yifan;  Xu, Kaidi;  Dang, Pucheng;  Wang, Ying;  Zhao, Yongwei;  Du, Zidong;  Guo, Qi;  Wang, Yanzhi;  Zhang, Xishan;  Chen, Tianshi
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Object detection  Streaming media  Optical flow  Feature extraction  Real-time systems  Task analysis  Detectors  Adversarial patch attack  deep learning security  domain-specific accelerator  hardware/software co-design  real time  
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：26/0  |  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)  
An Edge 3D CNN Accelerator for Low-Power Activity Recognition 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 5, 页码: 918-930
作者:  Wang, Ying;  Wang, Yongchen;  Shi, Cong;  Cheng, Long;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01
Three-dimensional displays  Two dimensional displays  Arrays  Feature extraction  System-on-chip  Redundancy  3D CNN  activity analysis  CNN accelerator  network-on-chip  video  
A Case of On-Chip Memory Subsystem Design for Low-Power CNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, 卷号: 37, 期号: 10, 页码: 1971-1984
作者:  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：68/0  |  提交时间：2019/12/10
Convolutional neural network (CNN)  deep learning  low power  memory subsystem