Hongtao Li
Orcid: 0000-0003-0883-7895Affiliations:
- Lanzhou Jiaotong University, Lanzhou, China
According to our database1,
Hongtao Li authored at least 19 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
A two-layer multivariate decomposition framework for spatiotemporal tourism demand forecasting based on Internet search and city synergy factors.
Int. J. Data Sci. Anal., December, 2026
C2F-LGNet: A coarse-to-fine framework with local-global differential modeling for traffic prediction.
Neural Networks, 2026
Multi-vehicle multi-modal trajectory prediction on highways using physics-guided spatio-temporal neural ordinary differential equations.
Inf. Sci., 2026
Multi-spatio-temporal information fusion neural network for traffic flow forecasting.
Inf. Sci., 2026
Continuous spatio-temporal hybrid graph convolutional network for air pollutant prediction.
Inf. Sci., 2026
2025
Spatio-temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines.
Knowl. Based Syst., 2025
Tourism demand point-interval forecasting using global-local information extraction network.
Inf. Process. Manag., 2025
Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction.
Inf. Fusion, 2025
Train timetable synchronization optimization for subway-suburban rail transfer systems: A double-level discretization approach.
Comput. Ind. Eng., 2025
2024
Inf. Sci., 2024
Short-term subway passenger flow forecasting approach based on multi-source data fusion.
Inf. Sci., 2024
Point and interval forecasting approach for short-term urban subway passenger flow based on residual term decomposition and fuzzy information granulation.
Appl. Soft Comput., 2024
2023
A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation.
Expert Syst. Appl., September, 2023
2022
A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting.
Eng. Appl. Artif. Intell., 2022
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning.
Appl. Soft Comput., 2022
Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach.
Appl. Soft Comput., 2022
Neighborhood rough set-based multi-attribute prediction approach and its application of gout patients.
Appl. Soft Comput., 2022
2021
A new secondary decomposition ensemble learning approach for carbon price forecasting.
Knowl. Based Syst., 2021
2020
A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting.
Appl. Soft Comput., 2020