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CASIA OpenIR
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Towards Automatic Model Compression via A Unified Two-Stage Framework 期刊论文
Pattern Recognition (PR), 2023, 卷号: 140, 页码: 109527
作者:  Weihan Chen;  Peisong Wang;  Jian Cheng
Adobe PDF(765Kb)  |  收藏  |  浏览/下载：142/47  |  提交时间：2023/06/20
Deep Neural Networks  Model Compression  Quantization  Pruning  
Towards Fully Sparse Training: Information Restoration with Spatial Similarity 会议论文
, Vancouver, British Columbia, Canada, 2022-04
作者:  Xu WX(许伟翔);  Wang PS(王培松);  Cheng J(程健)
Adobe PDF(556Kb)  |  收藏  |  浏览/下载：91/31  |  提交时间：2023/06/20
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：248/74  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Fixed-point Quantization for Vision Transformer 会议论文
, Beijing, China, 2021-10-22
作者:  Zhexin, Li;  Peisong Wang;  Zhiyuan Wang;  Jian Cheng
Adobe PDF(940Kb)  |  收藏  |  浏览/下载：301/87  |  提交时间：2022/06/15
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA 会议论文
, Dresden, Germany, 2018
作者:  Li, Gang;  Li, Fanrong;  Zhao, Tianli;  Cheng, Jian
Adobe PDF(244Kb)  |  收藏  |  浏览/下载：155/57  |  提交时间：2022/06/14
A System-Level Solution for Low-Power Object Detection 会议论文
, Seoul, Korea, 2019
作者:  Li, Fanrong;  Mo, Zitao;  Wang, Peisong;  Liu, Zejian;  Zhang, Jiayun;  Li, Gang;  Hu, Qinghao;  He, Xiangyu;  Leng, Cong;  Zhang, Yang;  Cheng, Jian
Adobe PDF(869Kb)  |  收藏  |  浏览/下载：228/72  |  提交时间：2022/06/14
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(4046Kb)  |  收藏  |  浏览/下载：323/39  |  提交时间：2022/06/10
Convolution  Field programmable gate arrays  System-on-chip  Task analysis  Random access memory  Tensors  Memory management  Block convolution  convolutional neural network (CNN) accelerator  field-programmable gate array (FPGA)  memory efficient  off-chip transfer  
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021, 期号: 2021.5, 页码: 1-1
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(6174Kb)  |  收藏  |  浏览/下载：216/46  |  提交时间：2022/02/15
block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator  
FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3589-3600
作者:  Li, Fanrong;  Li, Gang;  Mo, Zitao;  He, Xiangyu;  Cheng, Jian
Adobe PDF(1906Kb)  |  收藏  |  浏览/下载：383/71  |  提交时间：2021/01/06
Accelerator  architecture  convolutional neural networks (CNNs)  sparsity  
Sparsity-Inducing Binarized Neural Networks 会议论文
, New York, 2020
作者:  Wang, Peisong;  He, Xiangyu;  Li, Gang;  Zhao, Tianli;  Cheng, Jian
Adobe PDF(578Kb)  |  收藏  |  浏览/下载：201/52  |  提交时间：2020/10/20