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Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 49601-49610
作者:  Song, Ying;  Li, Mengxing;  Wang, Bo
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Convolutional neural networks  Continuous wavelet transforms  Data models  Training  Computer vision  Transformers  Transfer learning  Long-tailed recognition  self-attention  vision transformer  CNN  TrivialAugment  
Feature Rescaling and Fusion for Tiny Object Detection 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 62946-62955
作者:  Liu, Jingwei;  Gu, Yi;  Han, Shumin;  Zhang, Zhibin;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载：29/0  |  提交时间：2021/12/01
Feature extraction  Object detection  Semantics  Task analysis  Training  Spatial resolution  Shape  Tiny object detection  nonparametric adaptive selection  feature fusion  feature pyramid network  ensemble model  
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 51134-51145
作者:  Zhong, Qiaoling;  Zhang, Zhibin;  Qiu, Qiang;  Cheng, Xueqi
收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01
Network pruning  inference acceleration  model compression  multiple GPUs  
Wireless Channel Propagation Scenarios Identification: A Perspective of Machine Learning 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 47797-47806
作者:  Zhang, Jiachi;  Liu, Liu;  Fan, Yuanyuan;  Zhuang, Lingfan;  Zhou, Tao;  Piao, Zheyan
收藏  |  浏览/下载：37/0  |  提交时间：2020/12/10
Wireless channel  scenarios identification  machine learning  QuaDRiGa platform  high-speed railway scenarios  
Weakly Supervised Cross-Domain Mixed Dish Detection With Mean-Teacher 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 201236-201246
作者:  Deng, Lixi;  Zhang, Xu;  Shang, Zhijie
收藏  |  浏览/下载：28/0  |  提交时间：2021/12/01
Cross domain  detection  food recognition  weakly supervised  
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 156848-156859
作者:  Cui, Guoxin;  Guo, Jiafeng;  Fan, Yixing;  Lan, Yanyan;  Cheng, Xueqi
收藏  |  浏览/下载：35/0  |  提交时间：2020/12/10
Training  Market research  Acceleration  Convergence  Servers  Stochastic processes  Machine learning  Parameter trend  asynchronous SGD  accelerate training  
Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 172065-172073
作者:  Fan, Yuchen;  Zhang, Jilin;  Zhao, Nailiang;  Ren, Yongjian;  Wan, Jian;  Zhou, Li;  Shen, Zhongyu;  Wang, Jue;  Zhang, Juncong;  Wei, Zhenguo
收藏  |  浏览/下载：43/0  |  提交时间：2020/12/10
Distributed machine learning  stochastic gradient descent  model aggregation method  smart sensing equipment  
Scheduling-Efficient Framework for Neural Network on Heterogeneous Distributed Systems and Mobile Edge Computing Systems 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 171853-171863
作者:  Zhou, Xiang;  Zhang, Jilin;  Wan, Jian;  Zhou, Li;  Wei, Zhenguo;  Zhang, Juncong
收藏  |  浏览/下载：39/0  |  提交时间：2020/12/10
Heterogeneous distributed system  mobile edge computing system  adaptive scheduling  large-scale machine learning  
Parameter Communication Consistency Model for Large-Scale Security Monitoring Based on Mobile Computing 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 171884-171897
作者:  Yang, Rui;  Zhang, Jilin;  Wan, Jian;  Zhou, Li;  Shen, Jing;  Zhang, Yunchen;  Wei, Zhenguo;  Zhang, Juncong;  Wang, Jue
收藏  |  浏览/下载：42/0  |  提交时间：2020/12/10
Mobile computing  security monitoring  distributed machine learning  limited synchronous parallel model  parameter server  
Processor Design Space Exploration via Statistical Sampling and Semi-Supervised Ensemble Learning 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 25495-25505
作者:  Li, Dandan;  Yao, Shuzhen;  Wang, Ying
收藏  |  浏览/下载：46/0  |  提交时间：2019/12/10
Design space exploration  Latin hypercube sampling  adaboost  microprocessor design