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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  
Efficient Accelerator/Network Co-Search with Circular Greedy Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, 2023, 页码: 1-5
作者:  Liu, Zejian;  Li, Gang;  Cheng, Jian
Adobe PDF(1982Kb)  |  收藏  |  浏览/下载：108/34  |  提交时间：2023/06/19
Accelerator/Network Co-Search  Reinforcement Learning  Performance Estimation  Multi-objective Optimization  
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：174/50  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization 期刊论文
NEUROCOMPUTING, 2022, 卷号: 511, 页码: 175-186
作者:  Yang, Yukuan;  Chi, Xiaowei;  Deng, Lei;  Yan, Tianyi;  Gao, Feng;  Li, Guoqi
收藏  |  浏览/下载：205/0  |  提交时间：2022/11/21
Full 8-bit quantization  Network without batch normalization  Small batch  Online training  Resource-limited devices  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：315/45  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
Attention enhanced reinforcement learning for multi-agent cooperation 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15
作者:  Zhiqiang Pu;  Huimu Wang;  Zhen Liu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：216/40  |  提交时间：2022/04/02
Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
Multi-Agent Hierarchical Cognition Difference Policy for Multi-Agent Cooperation 期刊论文
Algorithms, 2021, 期号: 14, 页码: 98
作者:  Huimu Wang;  Zhen Liu;  Jianqiang Yi;  Zhiqiang Pu
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：239/48  |  提交时间：2021/06/24
multiagent system  deep reinforcement learning  variational autoencoder  attention mechanism  
Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks 期刊论文
FRONTIERS IN NEUROSCIENCE, 2021, 卷号: 15, 页码: 11
作者:  Jia, Shuncheng;  Zhang, Tielin;  Cheng, Xiang;  Liu, Hongxing;  Xu, Bo
收藏  |  浏览/下载：214/0  |  提交时间：2021/04/21
spiking neural network  neuronal plasticity  synaptic plasticity  reward propagation  sparse connections  
FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3589-3600
作者:  Li, Fanrong;  Li, Gang;  Mo, Zitao;  He, Xiangyu;  Cheng, Jian
Adobe PDF(1906Kb)  |  收藏  |  浏览/下载：329/58  |  提交时间：2021/01/06
Accelerator  architecture  convolutional neural networks (CNNs)  sparsity  
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：283/52  |  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