CASIA OpenIR
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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:168/48  |  提交时间:2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
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:102/30  |  提交时间:2023/06/20
Deep Neural Networks  Model Compression  Quantization  Pruning  
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:259/25  |  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  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载:284/30  |  提交时间:2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
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:180/37  |  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:327/58  |  提交时间:2021/01/06
Accelerator  architecture  convolutional neural networks (CNNs)  sparsity  
Robust one-stage object detection with location-aware classifiers 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105, 页码: 11
作者:  Chen, Qiang;  Wang, Peisong;  Cheng, Anda;  Wang, Wanguo;  Zhang, Yifan;  Cheng, Jian
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载:314/55  |  提交时间:2020/08/03
Object detetion  Classification  Localization  Feature visualization  Receptive field  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载:278/51  |  提交时间:2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability  
BitStream: An efficient framework for inference of binary neural networks on CPUs 期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 125, 页码: 303-309
作者:  Jiang, Yanshu;  Zhao, Tianli;  He, Xiangyu;  Leng, Cong;  Cheng, Jian
Adobe PDF(1252Kb)  |  收藏  |  浏览/下载:278/36  |  提交时间:2019/12/16
Convolutional neural networks  Binary neural networks  Image classification  
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4730-4743
作者:  Cheng, Jian;  Wu, Jiaxiang;  Leng, Cong;  Wang, Yuhang;  Hu, Qinghao
收藏  |  浏览/下载:290/0  |  提交时间:2019/12/16
Acceleration And Compression  Convolutional Neural Network (Cnn)  Mobile Devices  Product Quantization