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CASIA OpenIR
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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：309/35  |  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  
FedFV: federated face verification via equivalent class embeddings 期刊论文
MULTIMEDIA SYSTEMS, 2022, 页码: 11
作者:  Liu, Lingyun;  Zhang, Yifan;  Gao, Haoyuan;  Yu, Xingtao;  Cheng, Jian
Adobe PDF(1435Kb)  |  收藏  |  浏览/下载：401/76  |  提交时间：2022/06/10
Equivalent class embeddings  Federated learning  Face recognition  Deep learning  
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：212/44  |  提交时间：2022/02/15
block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator  
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：337/42  |  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)  
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：370/69  |  提交时间：2021/01/06
Accelerator  architecture  convolutional neural networks (CNNs)  sparsity  
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：323/63  |  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  
Spatialflow: Bridging all tasks for panoptic segmentation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 31, 期号: 6, 页码: 2288-2300
作者:  Chen, Qiang;  Cheng, Anda;  He, Xiangyu;  Wang, Peisong;  Cheng, Jian
Adobe PDF(4643Kb)  |  收藏  |  浏览/下载：201/43  |  提交时间：2020/10/20
panoptic segmentation  
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：364/70  |  提交时间：2020/08/03
Object detetion  Classification  Localization  Feature visualization  Receptive field  
Object Categorization Using Class-Specific Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4528-4534
作者:  Zhang, Chunjie;  Cheng, Jian;  Li, Liang;  Li, Changsheng;  Tian, Qi
Adobe PDF(1061Kb)  |  收藏  |  浏览/下载：7286/385  |  提交时间：2017/09/24
Class-specific Representation  Image Classification  Object Categorization  Visual Representation  
Incremental Codebook Adaptation for Visual Representation and Categorization 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 7, 页码: 2012-2023
作者:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
浏览  |  Adobe PDF(2354Kb)  |  收藏  |  浏览/下载：616/255  |  提交时间：2017/09/14
Codebook learning  low-rank  sparse coding  visual representation