Shifen Cheng

Orcid: 0000-0002-9553-8318

According to our database1, Shifen Cheng authored at least 31 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Predicting human-activity intensity in urban areas with a prior-enhanced probabilistic-deterministic model.
Int. J. Geogr. Inf. Sci., May, 2026

A geographic evolutionary framework with multi-task optimization of automatic hyperparameter tuning for spatially stratified machine learning models.
Int. J. Geogr. Inf. Sci., January, 2026

Structure-aware multi-view urban representation learning with coordinated fusion and alignment.
Inf. Process. Manag., 2026

Adaptive model selection and ensemble via spatiotemporal graph-guided expert routing.
Inf. Process. Manag., 2026

2025
Lightweighting the prediction process of urban states with parameter sharing and dilated operations.
Int. J. Digit. Earth, December, 2025

GeoAI enabled urban computing: status and challenges.
Ann. GIS, October, 2025

FairSTG: Countering Performance Heterogeneity via Collaborative Sample-Level Optimization.
IEEE Trans. Mob. Comput., May, 2025

A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation.
Int. J. Geogr. Inf. Sci., April, 2025

An explainable spatial interpolation method considering spatial stratified heterogeneity.
Int. J. Geogr. Inf. Sci., March, 2025

Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction.
Knowl. Based Syst., 2025

Predicting the Next Location of Urban Individuals via a Representation-Enhanced Multi-View Learning Network.
ISPRS Int. J. Geo Inf., 2025

A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction.
Int. J. Appl. Earth Obs. Geoinformation, 2025

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
An ensemble spatial prediction method considering geospatial heterogeneity.
Int. J. Geogr. Inf. Sci., September, 2024

Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement.
Int. J. Geogr. Inf. Sci., March, 2024

Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models.
Int. J. Geogr. Inf. Sci., March, 2024

Adding attention to the neural ordinary differential equation for spatio-temporal prediction.
Int. J. Geogr. Inf. Sci., January, 2024

Spatio-Temporal Field Neural Networks for Air Quality Inference.
CoRR, 2024

Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
A multi-layer modelling approach for mining versatile ports of a global maritime transportation network.
Int. J. Digit. Earth, December, 2023

2022
How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation.
Sensors, 2022

Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks.
ISPRS Int. J. Geo Inf., 2022

2021
Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns.
IEEE Trans. Intell. Transp. Syst., 2021

2020
A lightweight ensemble spatiotemporal interpolation model for geospatial data.
Int. J. Geogr. Inf. Sci., 2020

2019
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting.
Knowl. Based Syst., 2019

2018
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity.
Comput. Environ. Urban Syst., 2018

A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting.
ISPRS Int. J. Geo Inf., 2018

Fine-grained prediction of urban population using mobile phone location data.
Int. J. Geogr. Inf. Sci., 2018

Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity.
Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

2017
A Two-Step Method for Missing Spatio-Temporal Data Reconstruction.
ISPRS Int. J. Geo Inf., 2017

ST-PF: Spatio-Temporal Particle Filter for Floating-Car Data Pre-processing.
Proceedings of the Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17), 2017


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