Shaolong Sun
Orcid: 0000-0002-3196-1459
According to our database1,
Shaolong Sun
authored at least 35 papers
between 2017 and 2025.
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Bibliography
2025
How user-generated content influence different types of travelers to select hotels? A perspective with prospect theory.
Inf. Process. Manag., 2025
Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction.
Inf. Fusion, 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
How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach.
Expert Syst. Appl., 2023
2022
Historical pattern recognition with trajectory similarity for daily tourist arrivals forecasting.
Expert Syst. Appl., 2022
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis.
Environ. Model. Softw., 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
2021
A new secondary decomposition ensemble learning approach for carbon price forecasting.
Knowl. Based Syst., 2021
Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach.
Expert Syst. Appl., 2021
Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model.
Energy Inform., 2021
Eng. Appl. Artif. Intell., 2021
Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports.
CoRR, 2021
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method.
Appl. Soft Comput., 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network.
CoRR, 2020
CoRR, 2020
New Research Trends in Unconventional Oil and Gas Environmental Issue: A Bibliometric Analysis.
CoRR, 2020
A new hybrid approach for crude oil price forecasting: Evidence from multi-scale data.
CoRR, 2020
Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach.
CoRR, 2020
Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach.
CoRR, 2020
A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting.
Appl. Soft Comput., 2020
Adv. Eng. Informatics, 2020
2019
IEEE ACM Trans. Audio Speech Lang. Process., 2019
IEEE ACM Trans. Audio Speech Lang. Process., 2019
2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Computational Science - ICCS 2018, 2018
2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017