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Attar: RRAM-based in-memory attention accelerator with software-hardware co-optimization 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2025, 卷号: 68, 期号: 3, 页码: 17
作者:  Li, Bing;  Qi, Ying;  Wang, Ying;  Han, Yinhe
收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25
RRAM  computing-in-memory  attention  pruning  quantization  
PDD: Pruning Neural Networks During Knowledge Distillation 期刊论文
COGNITIVE COMPUTATION, 2024, 页码: 11
作者:  Dan, Xi;  Yang, Wenjie;  Zhang, Fuyan;  Zhou, Yihang;  Yu, Zhuojun;  Qiu, Zhen;  Zhao, Boyuan;  Dong, Zeyu;  Huang, Libo;  Yang, Chuanguang
收藏  |  浏览/下载：20/0  |  提交时间：2024/12/06
Knowledge distillation  Model pruning  Model compression  
An adaptive joint optimization framework for pruning and quantization 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 17
作者:  Li, Xiaohai;  Yang, Xiaodong;  Zhang, Yingwei;  Yang, Jianrong;  Chen, Yiqiang
收藏  |  浏览/下载：24/0  |  提交时间：2024/12/06
Model compression  Network pruning  Quantization  Mutual learning  Multi-teacher knowledge distillation  
Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 13
作者:  Chen, Yanming;  Wu, Gang;  Shuai, Mingrui;  Lou, Shubin;  Zhang, Yiwen;  An, Zhulin
收藏  |  浏览/下载：34/0  |  提交时间：2024/05/20
Neural network  Model compression  Filter pruning  Attention  Rank enhancement  CNNs  
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376
作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying
收藏  |  浏览/下载：29/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 1, 页码: 90-103
作者:  Li, Hongyan;  Lu, Hang;  Wang, Haoxuan;  Deng, Shengji;  Li, Xiaowei
收藏  |  浏览/下载：35/0  |  提交时间：2023/07/12
Deep learning accelerator  deep neural network (DNN)  hardware runtime pruning  
Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs 期刊论文
NEUROCOMPUTING, 2022, 卷号: 505, 页码: 375-387
作者:  Ma, Xiu;  Li, Guangli;  Liu, Lei;  Liu, Huaxiao;  Wang, Xueying
收藏  |  浏览/下载：32/0  |  提交时间：2023/07/12
Deep learning systems  Neural network compression  Filter pruning  
Neural Network Pruning by Recurrent Weights for Finance Market 期刊论文
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, 卷号: 22, 期号: 3, 页码: 23
作者:  Pei, Songwen;  Wu, Yusheng;  Guo, Jin;  Qiu, Meikang
收藏  |  浏览/下载：49/0  |  提交时间：2022/12/07
Channel pruning  neural networks  recurrent weights  finance market  
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan
收藏  |  浏览/下载：58/0  |  提交时间：2022/06/21
Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization  
EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 1259-1271
作者:  Yu, Fang;  Cui, Li;  Wang, Pengcheng;  Han, Chuanqi;  Huang, Ruoran;  Huang, Xi
收藏  |  浏览/下载：61/0  |  提交时间：2021/12/01
Acceleration  Internet of Things  Computational modeling  Edge computing  Sensitivity analysis  Optimization  Convex functions  Deep neural networks (DNNs)  edge computing  filter pruning  model compression and acceleration