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2020 – today
- 2023
[j6]Shan Xiao, Chunyi Wu
:
Explore deep reinforcement learning for efficient task processing based on federated optimization in big data. Future Gener. Comput. Syst. 149: 150-161 (2023)
2010 – 2019
- 2019
- [j5]Chunyi Wu, Gaochao Xu, Yan Ding, Jia Zhao:
Explore Deep Neural Network and Reinforcement Learning to Large-scale Tasks Processing in Big Data. Int. J. Pattern Recognit. Artif. Intell. 33(13): 1951010:1-1951010:29 (2019) - [c2]Jia Zhao, Ming Hu, Yan Ding, Gaochao Xu, Chunyi Wu:
Explore adaptive dropout deep computing and reinforcement learning to large-scale tasks processing for big data. ICCC 2019: 994-999 - 2018
- [j4]Zelei Liu, Liang Hu, Chunyi Wu, Yan Ding, Quangang Wen, Jia Zhao:
A novel process-based association rule approach through maximal frequent itemsets for big data processing. Future Gener. Comput. Syst. 81: 414-424 (2018) - [j3]Jia Zhao, Jia Sun, Yunan Zhai, Yan Ding, Chunyi Wu, Ming Hu:
A Novel Clustering-Based Sampling Approach for Minimum Sample Set in Big Data Environment. Int. J. Pattern Recognit. Artif. Intell. 32(2): 1850003:1-1850003:20 (2018) - 2017
- [j2]Yan Ding, Gaochao Xu, Chunyi Wu, Liang Hu, Yunan Zhai, Jia Zhao:
Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network. Clust. Comput. 20(4): 3263-3274 (2017) - 2016
- [j1]Zelei Liu, Liang Hu, Chunyi Wu, Yan Ding, Jia Zhao:
A novel trajectory similarity-based approach for location prediction. Int. J. Distributed Sens. Networks 12(11) (2016) - [c1]Gaochao Xu, Yan Ding, Chunyi Wu, Yunan Zhai, Jia Zhao:
Explore maximal frequent itemsets for big data pre-processing based on small sample in cloud computing. ICUMT 2016: 235-239
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