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Stacking More Linear Operations with Orthogonal Regularization to Learn Better 会议论文
, 线上会议, 2022-7
作者:  Xu WX(许伟翔);  Cheng J(程健)
Adobe PDF(1126Kb)  |  收藏  |  浏览/下载：81/31  |  提交时间：2023/06/21
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：158/43  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Generative Zero-shot Network Quantization 会议论文
, Virtual Event, 2021-6
作者:  Xiangyu, He;  Jiahao, Lu;  Weixiang, Xu;  Qinghao, Hu;  Peisong, Wang;  Jian, Cheng
Adobe PDF(947Kb)  |  收藏  |  浏览/下载：225/54  |  提交时间：2022/06/29
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：245/22  |  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：173/34  |  提交时间：2022/02/15
block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator  
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：263/51  |  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  
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching 会议论文
, Online, 2020
作者:  Wang, Peisong;  Chen, Qiang;  He, Xiangyu;  Cheng, Jian
Adobe PDF(389Kb)  |  收藏  |  浏览/下载：129/32  |  提交时间：2020/10/20
Unsupervised Network Quantization via Fixed-Point Factorization 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 期号: 1, 页码: 1
作者:  Wang, Peisong;  He, Xiangyu;  Chen, Qiang;  Cheng, Anda;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：198/48  |  提交时间：2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.  
BundleNet Learning with Noisy Label via Sample Correlations 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 1, 页码: 2367-2377
作者:  Li, Chenghua;  Zhang, Chunjie;  Ding, Kun;  Li, Gang;  Cheng, Jian;  Lu, Hanqing;  Jian Cheng
Adobe PDF(1606Kb)  |  收藏  |  浏览/下载：552/229  |  提交时间：2018/05/05
Bundlenet  Sequential Data  Classification  Noisy Label  Regularization  
Two-Step Quantization for Low-bit Neural Networks 会议论文
, Salt Lake City, 2018.06.18-2018.06.22
作者:  Wang, Peisong;  Hu, Qinghao;  Zhang, Yifan;  Zhang, Chunjie;  Liu, Yang;  Cheng, Jian
浏览  |  Adobe PDF(105Kb)  |  收藏  |  浏览/下载：839/301  |  提交时间：2018/05/05
Convolutional Neural Networks  Network Quantization  Ternary Quantization