Shifen Cheng

According to our database, Shifen Cheng authored at least 21 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction.

Lizeng Wang, Shifen Cheng, Feng Lu

Knowl. Based Syst., 2025

A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction.

Yibo Zhao, Shifen Cheng, Song Gao, Feng Lu

Int. J. Appl. Earth Obs. Geoinformation, 2025

2024

An ensemble spatial prediction method considering geospatial heterogeneity.

Shifen Cheng, Lizeng Wang, Peixiao Wang, Feng Lu

Int. J. Geogr. Inf. Sci., September, 2024

Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement.

Yibo Zhao, Shifen Cheng, Beibei Zhang, Feng Lu

Int. J. Geogr. Inf. Sci., March, 2024

Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models.

Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, Feng Lu

Int. J. Geogr. Inf. Sci., March, 2024

Adding attention to the neural ordinary differential equation for spatio-temporal prediction.

Peixiao Wang, Tong Zhang, Hengcai Zhang, Shifen Cheng, Wangshu Wang

Int. J. Geogr. Inf. Sci., January, 2024

FairSTG: Countering performance heterogeneity via collaborative sample-level optimization.

Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang

CoRR, 2024

Spatio-Temporal Field Neural Networks for Air Quality Inference.

Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang

CoRR, 2024

Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality.

Beibei Zhang, Shifen Cheng, Peixiao Wang, Feng Lu

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

A multi-layer modelling approach for mining versatile ports of a global maritime transportation network.

Peng Peng, Christophe Claramunt, Shifen Cheng, Yu Yang, Feng Lu

Int. J. Digit. Earth, December, 2023

2022

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

Peng Peng, Christophe Claramunt, Shifen Cheng, Feng Lu

Sensors, 2022

Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks.

Chunlei Mi, Shifen Cheng, Feng Lu

ISPRS Int. J. Geo Inf., 2022

2021

Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns.

Shifen Cheng, Feng Lu, Peng Peng

IEEE Trans. Intell. Transp. Syst., 2021

2020

A lightweight ensemble spatiotemporal interpolation model for geospatial data.

Shifen Cheng, Peng Peng, Feng Lu

Int. J. Geogr. Inf. Sci., 2020

2019

Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting.

Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu

Knowl. Based Syst., 2019

2018

Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity.

Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu

Comput. Environ. Urban Syst., 2018

A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting.

Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu

ISPRS Int. J. Geo Inf., 2018

Fine-grained prediction of urban population using mobile phone location data.

Jie Chen, Tao Pei, Shih-Lung Shaw, Feng Lu, Mingxiao Li, Shifen Cheng, Xiliang Liu, Hengcai Zhang

Int. J. Geogr. Inf. Sci., 2018

Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity.

Shifen Cheng, Feng Lu

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.

Shifen Cheng, Feng Lu

ISPRS Int. J. Geo Inf., 2017

ST-PF: Spatio-Temporal Particle Filter for Floating-Car Data Pre-processing.

Xiliang Liu, Li Yu, Kang Liu, Peng Peng, Shifen Cheng, Mengdi Liao, Feng Lu

Proceedings of the Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17), 2017