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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：1/0  |  提交时间：2024/12/06
Model compression  Network pruning  Quantization  Mutual learning  Multi-teacher knowledge distillation  
Per-Packet Traffic Measurement in Storage, Computation and Bandwidth Limited Data Plane 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 13
作者:  Cong, Yinchuan;  Xie, Kun;  Wen, Jigang;  Zhang, Jiwei;  Yin, Yansong;  Zhang, Qingyi;  Xie, Gaogang;  Liang, Wei
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Sequence of packet lengths and arrival times (SPLT)  data plane  packet level measurement  in-network calculation  quantization  
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510
作者:  Liu, Lian;  Wang, Ying;  Zhao, Xiandong;  Chen, Weiwei;  Li, Huawei;  Li, Xiaowei;  Han, Yinhe
收藏  |  浏览/下载：7/0  |  提交时间：2024/12/06
Optimization  Quantization (signal)  Computer architecture  Training  Computational modeling  Integrated circuit modeling  Convergence  Automatic joint optimization  efficient model inference  network quantization  neural architecture search (NAS)  
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network 期刊论文
MACHINE LEARNING, 2024, 页码: 14
作者:  Pei, Songwen;  Wang, Jiyao;  Zhang, Bingxue;  Qin, Wei;  Xue, Hai;  Ye, Xiaochun;  Chen, Mingsong
收藏  |  浏览/下载：14/0  |  提交时间：2024/05/20
Big data  Compression  Deep learning  Pseudo-mean mixed-precision quantization  Pruned neural network  
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 4472-4485
作者:  Cong, Runmin;  Yang, Wenyu;  Zhang, Wei;  Li, Chongyi;  Guo, Chun-Le;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
Underwater image enhancement  generative adversarial network  physical model  degradation quantization  
An Automated Quantization Framework for High-Utilization RRAM-Based PIM 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 3, 页码: 583-596
作者:  Li, Bing;  Qu, Songyun;  Wang, Ying
收藏  |  浏览/下载：31/0  |  提交时间：2022/12/07
Quantization (signal)  Neural networks  Computational modeling  Data models  Hardware  Resource management  Arrays  AutoML  neural network  processing-in-memory (PIM)  quantization  resistive memory (RRAM)  
LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 29-32
作者:  Xiao, Hang;  Xu, Haobo;  Wang, Ying;  Wang, Yujie;  Han, Yinhe
收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07
Linear particle accelerator  Correlation  Kernel  Convolution  Linear regression  System-on-chip  Quantization (signal)  Neural network  acceleration  convolution  linear regression  bit-sparsity  
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019
作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi
收藏  |  浏览/下载：19/0  |  提交时间：2023/07/12
Neural network acceleration  low precision training  quantization  
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：37/0  |  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  
Toward Efficient Execution of Mainstream Deep Learning Frameworks on Mobile Devices: Architectural Implications 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 3, 页码: 453-466
作者:  Dai, Yuting;  Zhang, Rui;  Xue, Rui;  Liu, Benyong;  Li, Tao
收藏  |  浏览/下载：48/0  |  提交时间：2021/12/01
Deep learning  Mobile handsets  Performance evaluation  Mobile applications  Computational modeling  Quantization (signal)  Central Processing Unit  CPU usage  deep learning (DL)  energy efficiency  microarchitecture  mobile phone  network compression  thermal characterization