Shifen Cheng

31 papers A* 1Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A geographic evolutionary framework with multi-task optimization of automatic hyperparameter tuning for spatially stratified machine learning models.
Int. J. Geogr. Inf. Sci.
Wenhui Zhang, Shifen Cheng, Feng Lu
2026 J jnl
Structure-aware multi-view urban representation learning with coordinated fusion and alignment.
Inf. Process. Manag.
Jinghui Wei, Sheng Wu, Shifen Cheng, Peixiao Wang, Feng Lu
2025 J jnl
A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction.
Int. J. Appl. Earth Obs. Geoinformation
Yibo Zhao, Shifen Cheng, Song Gao, Feng Lu
2025 J jnl
A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation.
Int. J. Geogr. Inf. Sci.
Xiaoyue Luo, Shifen Cheng, Lizeng Wang, Yuxuan Liang, Feng Lu
2025 A* conf
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.
AAAI
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025 J jnl
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.
CoRR
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025 J jnl
An explainable spatial interpolation method considering spatial stratified heterogeneity.
Int. J. Geogr. Inf. Sci.
Shifen Cheng, Wenhui Zhang, Peng Luo, Lizeng Wang, Feng Lu
2025 J jnl
Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction.
Knowl. Based Syst.
Lizeng Wang, Shifen Cheng, Feng Lu
2025 J jnl
FairSTG: Countering Performance Heterogeneity via Collaborative Sample-Level Optimization.
IEEE Trans. Mob. Comput.
Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang
2025 J jnl
GeoAI enabled urban computing: status and challenges.
Ann. GIS
Feng Lu, Shifen Cheng, Peixiao Wang
2025 J jnl
Lightweighting the prediction process of urban states with parameter sharing and dilated operations.
Int. J. Digit. Earth
Peixiao Wang, Haolong Yang, Hengcai Zhang, Shifen Cheng, Feng Lu, Zeqiang Chen
2025 J jnl
Predicting the Next Location of Urban Individuals via a Representation-Enhanced Multi-View Learning Network.
ISPRS Int. J. Geo Inf.
Maoqi Lun, Peixiao Wang, Sheng Wu, Hengcai Zhang, Shifen Cheng, Feng Lu
2024 J jnl
Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models.
Int. J. Geogr. Inf. Sci.
Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, Feng Lu
2024 J jnl
Adding attention to the neural ordinary differential equation for spatio-temporal prediction.
Int. J. Geogr. Inf. Sci.
Peixiao Wang, Tong Zhang, Hengcai Zhang, Shifen Cheng, Wangshu Wang
2024 J jnl
An ensemble spatial prediction method considering geospatial heterogeneity.
Int. J. Geogr. Inf. Sci.
Shifen Cheng, Lizeng Wang, Peixiao Wang, Feng Lu
2024 J jnl
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization.
CoRR
Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang
2024 J jnl
Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement.
Int. J. Geogr. Inf. Sci.
Yibo Zhao, Shifen Cheng, Beibei Zhang, Feng Lu
2024 J jnl
Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality.
Int. J. Appl. Earth Obs. Geoinformation
Beibei Zhang, Shifen Cheng, Peixiao Wang, Feng Lu
2024 J jnl
Spatio-Temporal Field Neural Networks for Air Quality Inference.
CoRR
Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang
2023 J jnl
A multi-layer modelling approach for mining versatile ports of a global maritime transportation network.
Int. J. Digit. Earth
Peng Peng, Christophe Claramunt, Shifen Cheng, Yu Yang, Feng Lu
2022 J jnl
How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation.
Sensors
Peng Peng, Christophe Claramunt, Shifen Cheng, Feng Lu
2022 J jnl
Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks.
ISPRS Int. J. Geo Inf.
Chunlei Mi, Shifen Cheng, Feng Lu
2021 J jnl
Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns.
IEEE Trans. Intell. Transp. Syst.
Shifen Cheng, Feng Lu, Peng Peng
2020 J jnl
A lightweight ensemble spatiotemporal interpolation model for geospatial data.
Int. J. Geogr. Inf. Sci.
Shifen Cheng, Peng Peng, Feng Lu
2019 J jnl
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting.
Knowl. Based Syst.
Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu
2018 J jnl
A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting.
ISPRS Int. J. Geo Inf.
Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu
2018 J jnl
Fine-grained prediction of urban population using mobile phone location data.
Int. J. Geogr. Inf. Sci.
Jie Chen, Tao Pei, Shih-Lung Shaw, Feng Lu, Mingxiao Li, Shifen Cheng, Xiliang Liu, Hengcai Zhang
2018 — conf
Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity.
EDBT/ICDT Workshops
Shifen Cheng, Feng Lu
2018 J jnl
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity.
Comput. Environ. Urban Syst.
Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu
2017 J jnl
A Two-Step Method for Missing Spatio-Temporal Data Reconstruction.
ISPRS Int. J. Geo Inf.
Shifen Cheng, Feng Lu
2017 — conf
ST-PF: Spatio-Temporal Particle Filter for Floating-Car Data Pre-processing.
IF&GIS
Xiliang Liu, Li Yu, Kang Liu, Peng Peng, Shifen Cheng, Mengdi Liao, Feng Lu