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2020 – today
- 2024
[j12]Wei Guo, Yimei Huang, Yudan Huang, Yilun Li, Xiaoxiang Song, Jikai Shen, Xiping Qi, Bicheng Zhang, Zhaolong Zhu, Shouzhang Peng, Shaoshan An:
Develop agricultural planting structure prediction model based on machine learning: The aging of the population has prompted a shift in the planting structure toward food crops. Comput. Electron. Agric. 221: 108941 (2024)- [j11]Zhuangzhuang Tian
, Wei Wang, Kai Zhou, Xiaoxiang Song, Yilong Shen, Shengqi Liu:
Weighted Pseudo-Labels and Bounding Boxes for Semisupervised SAR Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 5193-5203 (2024) - [j10]Xiaoxiang Song, Yan Guo, Ning Li, Hai Wang, Weibo Yu:
Online Matrix Factorization-Based Traffic Flow Prediction Empowered by Edge Computing for the CAVs. IEEE Trans. Intell. Transp. Syst. 25(5): 4049-4065 (2024) - 2023
- [j9]Duan Xue, Yan Guo, Ning Li, Xiaoxiang Song, Ming He:
Cross-domain cooperative route planning for edge computing-enabled multi-connected vehicles. Comput. Electr. Eng. 108: 108668 (2023) - [j8]Duan Xue, Yan Guo, Ning Li, Xiaoxiang Song, Lixiong Zhang:
Cross-domain coordination of resource allocation and route planning for the edge computing-enabled multi-connected vehicles. J. Cloud Comput. 12(1): 33 (2023) - 2022
- [j7]Cuntao Liu, Yan Guo, Ning Li, Xiaoxiang Song:
AoI-Minimal Task Assignment and Trajectory Optimization in Multi-UAV-Assisted IoT Networks. IEEE Internet Things J. 9(21): 21777-21791 (2022) - 2021
- [j6]Xiaoxiang Song, Yan Guo, Ning Li, Lixiong Zhang:
Integrated Online Prediction Model for IoT Data. IEEE Signal Process. Lett. 28: 2043-2047 (2021) - [j5]Xiaoxiang Song, Yan Guo, Ning Li, Lixiong Zhang:
Online Traffic Flow Prediction for Edge Computing-Enhanced Autonomous and Connected Vehicles. IEEE Trans. Veh. Technol. 70(3): 2101-2111 (2021)
2010 – 2019
- 2019
- [j4]Xiaoxiang Song, Yan Guo, Ning Li, Peng Qian:
A novel approach for missing data prediction in coevolving time series. Computing 101(11): 1565-1584 (2019) - [j3]Xiaoxiang Song, Yan Guo, Ning Li, Meng Wang:
基于压缩感知的时间序列缺失数据预测算法 (Missing Data Prediction Based on Compressive Sensing in Time Series). 计算机科学 46(6): 35-40 (2019) - [j2]Xiaoxiang Song, Yan Guo, Ning Li, Dongping Yu:
基于稀疏贝叶斯学习的协同进化时间序列缺失数据预测算法 (Missing Data Prediction Algorithm Based on Sparse Bayesian Learning in Coevolving Time Series). 计算机科学 46(7): 217-223 (2019) - 2018
- [j1]Yan Guo, Xiaoxiang Song, Ning Li, Dagang Fang:
An Efficient Missing Data Prediction Method Based on Kronecker Compressive Sensing in Multivariable Time Series. IEEE Access 6: 57239-57248 (2018)
Coauthor Index
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