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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:137/55  |  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:126/40  |  提交时间:2023/06/20 Deep Neural Networks Model Compression Quantization Pruning |
| Towards Fully Sparse Training: Information Restoration with Spatial Similarity 会议论文 , Vancouver, British Columbia, Canada, 2022-04 作者: Xu WX(许伟翔); Wang PS(王培松); Cheng J(程健) Adobe PDF(556Kb)  |  收藏  |  浏览/下载:86/29  |  提交时间:2023/06/20 |
| Improving Extreme Low-bit Quantization with Soft Threshold 期刊论文 IEEE Transactions on Circuits and Systems for Video Technology, 2022, 页码: 1549 - 1563 作者: Xu WX(许伟翔); Wang PS(王培松); Cheng J(程健) Adobe PDF(2414Kb)  |  收藏  |  浏览/下载:82/30  |  提交时间:2023/06/20 |
| Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization 会议论文 , 线上举办, 2021-10-11 作者: Weihan Chen; Peisong Wang; Jian Cheng Adobe PDF(696Kb)  |  收藏  |  浏览/下载:140/42  |  提交时间:2023/06/20 |
| 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:123/50  |  提交时间:2023/06/05 |
| DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy 会议论文 , 线上, 2022-2 作者: Cheng AD(程安达); Wang JX(王家兴); Zhang X(张希); Chen Q(谌强); Wang PS(王培松); Cheng J(程健) Adobe PDF(1135Kb)  |  收藏  |  浏览/下载:102/25  |  提交时间:2023/06/05 |
| Entanglement Loss for Context-Based Still Image Action Recognition 会议论文 , Shanghai, China, July 8, 2019 - July 12, 2019 作者: Xin M(辛淼); Shuhang Wang; Jian Cheng Adobe PDF(1118Kb)  |  收藏  |  浏览/下载:84/31  |  提交时间:2023/04/25 Still image action recognition attribute entanglement feature learning loss function |
| 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:216/64  |  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:256/0  |  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 |