Zhihao Xu

Orcid: 0000-0002-4246-7544

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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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

Shared mobility demand prediction via A fast spatiotemporal tensor autoregression.
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

Progress and prospects of future urban health status prediction.
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

Meta Analysis of Traffic Safety Prediction.
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

Deep spatial-temporal travel time prediction model based on trajectory feature.
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

DeepSTF: A Deep Spatial-Temporal Forecast Model of Taxi Flow.
Comput. J., March, 2023

Taxi travel time prediction based on fusion of traffic condition features.
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
Blind Travel Prediction Based on Obstacle Avoidance in Indoor Scene.
Wirel. Commun. Mob. Comput., 2021

DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection.
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

A graph spatial-temporal model for predicting population density of key areas.
Comput. Electr. Eng., 2021

DDCAttNet: Road Segmentation Network for Remote Sensing Images.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Parallel Computing of Spatio-Temporal Model Based on Deep Reinforcement Learning.
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


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