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PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient 会议论文
, New Orleans, America, Monday November 28th through Friday December 9th
作者:  Weihan, Cao;  Yifan, Zhang;  Jianfei, Gao;  Anda, Cheng;  Ke, Cheng;  Jian, Cheng
Adobe PDF(2614Kb)  |  收藏  |  浏览/下载：95/26  |  提交时间：2023/06/21
Knowledge Distillation  Model Compression  Object Detection  
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：107/33  |  提交时间：2023/06/20
Deep Neural Networks  Model Compression  Quantization  Pruning  
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：177/51  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Wang, Peisong;  He, Xiangyu;  Cheng, Jian
收藏  |  浏览/下载：233/0  |  提交时间：2022/07/25
Quantization (signal)  Deep learning  Convolution  Training  Biological neural networks  Optimization  Neurons  Acceleration  binarized neural networks (BNNs)  compression  fixed-point quantization  
Revisiting Parameter Sharing for Automatic Neural Channel Number Search 会议论文
, Online, 2020.12.06-2020.12.12
作者:  Wang JX(王家兴);  Bo HL(柏昊立);  Wu JX(吴家祥);  Shi XP(史旭鹏);  Huang JZ(黄俊洲);  Michael Lyu;  Irwin King;  Cheng J(程健)
Adobe PDF(2004Kb)  |  收藏  |  浏览/下载：188/42  |  提交时间：2021/06/16
Neural Architecture Search  Model Compression  Parameter Sharing  
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：285/52  |  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  
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：208/51  |  提交时间：2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.  
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：293/0  |  提交时间：2019/12/16
Acceleration And Compression  Convolutional Neural Network (Cnn)  Mobile Devices  Product Quantization