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CASIA OpenIR
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Multi-Granularity Pruning for Model Acceleration on Mobile Devices 会议论文
, 线上, 2022-07
作者:  Zhao TL(赵天理);  Zhang X(张希);  Zhu WT(朱文涛);  Wang JX(王家兴);  Yang S(杨森);  Liu J(刘季);  Cheng J(程健)
Adobe PDF(1919Kb)  |  收藏  |  浏览/下载：135/54  |  提交时间：2023/06/21
Deep Neural Networks  Network Pruning  Structured Pruning  Non-structured Pruning  Single Instruction Multiple Data  
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：124/40  |  提交时间：2023/06/20
Deep Neural Networks  Model Compression  Quantization  Pruning  
Differentially Private Federated Learning with Local Regularization and Sparsification 会议论文
, 线上, 2022-6
作者:  Cheng AD(程安达);  Wang PS(王培松);  Zhang X(张希);  Cheng J(程健)
Adobe PDF(312Kb)  |  收藏  |  浏览/下载：122/49  |  提交时间：2023/06/05
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：213/62  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers 会议论文
, New Orleans, Louisiana, USA, 2022-6
作者:  Jiahao, Lu;  Xi Sheryl, Zhang;  Tianli, Zhao;  Xiangyu, He;  Jian Cheng
Adobe PDF(2770Kb)  |  收藏  |  浏览/下载：238/63  |  提交时间：2022/06/23
Trustworthy AI  Privacy-preserving machine learning  
Learning Compression from Limited Unlabeled Data 会议论文
, Munich, Germany, September 8 – 14, 2018
作者:  He, Xiangyu;  Cheng, Jian
Adobe PDF(504Kb)  |  收藏  |  浏览/下载：81/28  |  提交时间：2022/06/14
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：317/37  |  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)  
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Wang, Guanan;  Hu, Qinghao;  Yang, Yang;  Cheng, Jian;  Hou, Zeng-Guang
收藏  |  浏览/下载：231/0  |  提交时间：2022/01/27
Data models  Semantics  Force  Computational modeling  Hash functions  Binary codes  Training data  Adversarial learning (AL)  deep learning  hashing  
Rethinking the pid optimizer for stochastic optimization of deep networks 会议论文
, London, United kingdom, July 6, 2020 - July 10, 2020
作者:  Shi, Lei;  Zhang, Yifan;  Wang, Wanguo;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(325Kb)  |  收藏  |  浏览/下载：251/62  |  提交时间：2021/01/27
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：316/60  |  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