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BPR: An Erasure Coding Batch Parallel Repair Approach in Distributed Storage Systems 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 44509-44518
作者:  Song, Ying;  Zhao, Wenxuan;  Wang, Bo
收藏  |  浏览/下载：28/0  |  提交时间：2023/12/04
Distributed processing  Business process re-engineering  Traffic congestion  Encoding  Full-duplex system  Decoding  Bandwidth  Storage management  Distributed storage system  erasure coding  data recovery  
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：32/0  |  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  
Towards In-Network Compact Representation: Mergeable Counting Bloom Filter Vis Cuckoo Scheduling 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 55329-55339
作者:  Liu, Wenjing;  Xu, Zhiwei;  Tian, Jie;  Zhang, Yujun
收藏  |  浏览/下载：49/0  |  提交时间：2021/12/01
Arrays  Merging  Random access memory  Edge computing  Distributed databases  Schedules  Electronic mail  Edge computing  in-network data representation  compact representation  mergeable counting bloom filter  cuckoo-based bit array scheduling  
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：62/0  |  提交时间：2021/12/01
Network pruning  inference acceleration  model compression  multiple GPUs  
Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 134311-134323
作者:  Yang, Haolin;  Xu, Zhiwei;  Liu, Limin;  Tian, Jie;  Zhang, Yujun
收藏  |  浏览/下载：104/0  |  提交时间：2020/12/10
Feature extraction  Semantics  Adaptation models  Data mining  Cognition  Convolutional neural networks  Business  Deceptive information cognition  adaptive slide window  semantic structure representation  trivial sentence element elimination  convolutional neural network  
Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 80644-80650
作者:  Che, Binbin;  Zhao, Pengpeng;  Fang, Junhua;  Zhao, Lei;  Sheng, Victor S.;  Cui, Zhiming
收藏  |  浏览/下载：582/0  |  提交时间：2019/08/16
Basket recommendation  recurrent neural network  adaptive attention  
Exploiting Aesthetic Features in Visual Contents for Movie Recommendation 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 49813-49821
作者:  Chen, Xiaojie;  Zhao, Pengpeng;  Liu, Yanchi;  Zhao, Lei;  Fang, Junhua;  Sheng, Victor S.;  Cui, Zhiming
收藏  |  浏览/下载：119/0  |  提交时间：2019/08/16
Movie recommendation  aesthetic features  probabilistic matrix factorization  
MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 21133-21146
作者:  Li, Chao;  Xu, Yida;  Xu, Yongjun;  Diao, Boyu;  An, Zhulin
收藏  |  浏览/下载：99/0  |  提交时间：2019/08/16
Link scheduling  power allocating  minimum frame length  successive interference cancellation  underwater acoustic networks  
P4SC: A High Performance and Flexible Framework for Service Function Chain 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 160982-160997
作者:  Zhang, Dong;  Chen, Xiang;  Huang, Qun;  Hong, Xiaoyan;  Wu, Chunming;  Zhou, Haifeng;  Yang, Yi;  Liu, Hongyan;  Chen, Yuxin
收藏  |  浏览/下载：65/0  |  提交时间：2020/12/10
Performance evaluation  Runtime  Noise measurement  Hardware  Network function virtualization  Generators  Research and development  Network function virtualization  service function chain  P4  software defined networking  
RL and ANN Based Modular Path Planning Controller for Resource-Constrained Robots in the Indoor Complex Dynamic Environment 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 74557-74568
作者:  Ullah, Zakir;  Xu, Zhiwei;  Zhang, Lei;  Zhang, Libo;  Ullah, Waheed
收藏  |  浏览/下载：62/0  |  提交时间：2019/04/03
RL  ANN  complex dynamic indoor environment  modular path planning  resource-constrained robots