Hongtao Li

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A two-layer multivariate decomposition framework for spatiotemporal tourism demand forecasting based on Internet search and city synergy factors.
Int. J. Data Sci. Anal.
Haina Zhang, Wenzheng Liu, Jie Shi, Hongtao Li, Shaolong Sun
2026 J jnl
Continuous spatio-temporal hybrid graph convolutional network for air pollutant prediction.
Inf. Sci.
Tongzhao Huo, Hongtao Li, Haina Zhang, Wenzheng Liu, Shaolong Sun, Zhipeng Huang, Wuzhi Xie
2025 J jnl
Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction.
Inf. Fusion
Wenzheng Liu, Hongtao Li, Haina Zhang, Jiang Xue, Shaolong Sun
2025 J jnl
Spatio-temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines.
Knowl. Based Syst.
Hongtao Li, Wenjie Fu, Haina Zhang, Wenzheng Liu, Shaolong Sun, Tao Zhang
2025 J jnl
Tourism demand point-interval forecasting using global-local information extraction network.
Inf. Process. Manag.
Wenzheng Liu, Hongtao Li, Haina Zhang, Shaolong Sun, Zhipeng Huang, Wuzhi Xie
2025 J jnl
Train timetable synchronization optimization for subway-suburban rail transfer systems: A double-level discretization approach.
Comput. Ind. Eng.
Zhipeng Huang, Xiaotian Ma, Xiaopeng Tian, Xuan Wang, Hongtao Li, Wuzhi Xie
2024 J jnl
Point and interval forecasting approach for short-term urban subway passenger flow based on residual term decomposition and fuzzy information granulation.
Appl. Soft Comput.
Duo Chen, Hongtao Li, Shaolong Sun, Juncheng Bai, Zhipeng Huang
2024 J jnl
Short-term subway passenger flow forecasting approach based on multi-source data fusion.
Inf. Sci.
Yifan Cheng, Hongtao Li, Shaolong Sun, Wenzheng Liu, Xiaoyan Jia, Yang Yu
2024 J jnl
Traffic prediction based on spatial-temporal disentangled generative models.
Inf. Sci.
Xinyu Gao, Hongtao Li, Haina Zhang, Jiang Xue, Shaolong Sun, Wenzheng Liu
2023 J jnl
A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation.
Expert Syst. Appl.
Hongtao Li, Yang Yu, Zhipeng Huang, Shaolong Sun, Xiaoyan Jia
2022 J jnl
A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting.
Eng. Appl. Artif. Intell.
Kun Jin, Shaolong Sun, Hongtao Li, Fengting Zhang
2022 J jnl
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning.
Appl. Soft Comput.
Bingzhen Sun, Juncheng Bai, Xiaoli Chu, Shaolong Sun, Yongwu Li, Hongtao Li
2022 J jnl
Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach.
Appl. Soft Comput.
Hongtao Li, Kun Jin, Shaolong Sun, Xiaoyan Jia, Yongwu Li
2022 J jnl
Neighborhood rough set-based multi-attribute prediction approach and its application of gout patients.
Appl. Soft Comput.
Juncheng Bai, Bingzhen Sun, Xiaoli Chu, Ting Wang, Hongtao Li, Qingchun Huang
2021 J jnl
A new secondary decomposition ensemble learning approach for carbon price forecasting.
Knowl. Based Syst.
Hongtao Li, Feng Jin, Shaolong Sun, Yongwu Li
2020 J jnl
A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting.
Appl. Soft Comput.
Hongtao Li, Juncheng Bai, Xiang Cui, Yongwu Li, Shaolong Sun