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A RISC-V Extended Infrastructure for CNNs Through Pipelined Computing and Data Dependence Optimization 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 11, 页码: 4141-4154
作者:  Luo, Teng;  Xia, Tengfei;  Chen, Jiayuan;  Fan, Zhihua;  Li, Wenming;  Mu, Yudong;  An, Xuejun;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：6/0  |  提交时间：2025/12/03
Artificial intelligence  Convolution  Convolutional neural networks  Computer architecture  Computational efficiency  Pipelines  Logic  Filters  Fans  Biological system modeling  Convolutional neural networks (CNNs) acceleration  dataflow optimization  pipelined computing  RISC-V extended instructions  
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs 期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 265-281
作者:  Yao, Chunrong;  Liu, Wantao;  Liu, Zhibing;  Yan, Longchuan;  Hu, Songlin;  Tang, Weiqing
收藏  |  浏览/下载：78/0  |  提交时间：2022/12/07
Scheduling  Convolutional neural networks (CNNs)  GPUs  Service-level-objective (SLO)  Energy minimization  Inference services  
Practical Attacks on Deep Neural Networks by Memory Trojaning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 6, 页码: 1230-1243
作者:  Hu, Xing;  Zhao, Yang;  Deng, Lei;  Liang, Ling;  Zuo, Pengfei;  Ye, Jing;  Lin, Yingyan;  Xie, Yuan
收藏  |  浏览/下载：79/0  |  提交时间：2021/12/01
Trojan horses  Hardware  Integrated circuit modeling  Computational modeling  Security  Payloads  Convolutional neural networks (CNNs)  deep learning accelerator  deep learning attack  hardware Trojan  
Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371
作者:  Fang, Weizhen;  Sun, Yiyuan;  Ji, Rui;  Wan, Wei;  Ma, Lei
收藏  |  浏览/下载：63/0  |  提交时间：2021/12/01
Dams  Image recognition  Remote sensing  Earth  Training  Internet  Object recognition  Convolutional neural networks (CNNs)  dams  deep learning  Google earth  object recognition