Zhihao Xu
Orcid: 0000-0002-4246-7544Affiliations:
- Qingdao University, College of Computer Science & Technology, Qingdao, China
- Qingdao University, Institute of Ubiquitous Networks & Urban Computing, Qingdao, China
According to our database1,
Zhihao Xu
authored at least 24 papers
between 2021 and 2025.
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Bibliography
2025
HT-STNet: a hierarchical Tucker decomposition and spatio-temporal LSTM network for accurate and efficient shared mobility demand forecasting on sparse data.
Appl. Intell., May, 2025
Eng. Appl. Artif. Intell., 2025
2024
TreeCN: Time Series Prediction With the Tree Convolutional Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2024
Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree.
Inf. Fusion, April, 2024
Eng. Appl. Artif. Intell., 2024
MT-CNN: A Lightweight Spatial-Temporal Convolutional Neural Network for Deep Learning of Complex Trajectory Distributions based on Area Partitioning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024
2023
Fast autoregressive tensor decomposition for online real-time traffic flow prediction.
Knowl. Based Syst., December, 2023
Comput. Electr. Eng., September, 2023
A new approach to COVID-19 data mining: A deep spatial-temporal prediction model based on tree structure for traffic revitalization index.
Data Knowl. Eng., July, 2023
GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading.
IEEE Trans. Netw. Serv. Manag., June, 2023
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation.
ACM Trans. Knowl. Discov. Data, June, 2023
Comput. J., March, 2023
Comput. Electr. Eng., January, 2023
A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors.
IEEE Intell. Transp. Syst. Mag., 2023
2022
Prediction of Cancellation Probability of Online Car-Hailing Orders Based on Multi-source Heterogeneous Data Fusion.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
DDFM: A Novel Perspective on Urban Travel Demand Forecasting Based on the Ensemble Empirical Mode Decomposition and Deep Learning.
Proceedings of the 5th International Conference on Big Data Technologies, 2022
2021
Wirel. Commun. Mob. Comput., 2021
KSII Trans. Internet Inf. Syst., 2021
Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index.
Data Knowl. Eng., 2021
Comput. Electr. Eng., 2021
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
MFAGCN: Multi-Feature Based Attention Graph Convolutional Network for Traffic Prediction.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021