ST-PF: Spatio-Temporal Particle Filter for Floating-Car Data Pre-processing. - Xiliang Liu; Li Yu; Kang Liu 010; Peng Peng 007; Shifen Cheng; Mengdi Liao; Feng Lu 004 (IF&GIS, 2017)

A Two-Step Method for Missing Spatio-Temporal Data Reconstruction. - Shifen Cheng; Feng Lu 004 (ISPRS Int. J. Geo Inf., 2017)

Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity. - Shifen Cheng; Feng Lu 004 (EDBT/ICDT Workshops, 2018)

Fine-grained prediction of urban population using mobile phone location data. - Jie Chen 077; Tao Pei; Shih-Lung Shaw; Feng Lu 004; Mingxiao Li 001; Shifen Cheng; Xiliang Liu; Hengcai Zhang (Int. J. Geogr. Inf. Sci., 2018)

A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting. - Shifen Cheng; Feng Lu 004; Peng Peng 007; Sheng Wu 004 (ISPRS Int. J. Geo Inf., 2018)

Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity. - Shifen Cheng; Feng Lu 004; Peng Peng 007; Sheng Wu 004 (Comput. Environ. Urban Syst., 2018)

Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting. - Shifen Cheng; Feng Lu 004; Peng Peng 007; Sheng Wu 004 (Knowl. Based Syst., 2019)

A lightweight ensemble spatiotemporal interpolation model for geospatial data. - Shifen Cheng; Peng Peng 007; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 2020)

Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns. - Shifen Cheng; Feng Lu 004; Peng Peng 007 (IEEE Trans. Intell. Transp. Syst., 2021)

Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks. - Chunlei Mi; Shifen Cheng; Feng Lu 004 (ISPRS Int. J. Geo Inf., 2022)

How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation. - Peng Peng 007; Christophe Claramunt; Shifen Cheng; Feng Lu 004 (Sensors, 2022)

A multi-layer modelling approach for mining versatile ports of a global maritime transportation network. - Peng Peng 007; Christophe Claramunt; Shifen Cheng; Yu Yang; Feng Lu 004 (Int. J. Digit. Earth, 2023)

Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality. - Beibei Zhang; Shifen Cheng; Peixiao Wang; Feng Lu 004 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Spatio-Temporal Field Neural Networks for Air Quality Inference. - Yutong Feng; Qiongyan Wang; Yutong Xia; Junlin Huang; Siru Zhong; Kun Wang 056; Shifen Cheng; Yuxuan Liang (CoRR, 2024)

Adding attention to the neural ordinary differential equation for spatio-temporal prediction. - Peixiao Wang; Tong Zhang 009; Hengcai Zhang; Shifen Cheng; Wangshu Wang (Int. J. Geogr. Inf. Sci., 2024)

Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models. - Kang Liu 010; Xin Jin; Shifen Cheng; Song Gao 001; Ling Yin 001; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 2024)

Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement. - Yibo Zhao; Shifen Cheng; Beibei Zhang; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 2024)

An ensemble spatial prediction method considering geospatial heterogeneity. - Shifen Cheng; Lizeng Wang; Peixiao Wang; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 2024)

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. - Qiongyan Wang; Yutong Xia; Siru Zhong; Weichuang Li; Yuankai Wu; Shifen Cheng; Junbo Zhang; Yu Zheng; Yuxuan Liang (AAAI, 2025)

A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction. - Yibo Zhao; Shifen Cheng; Song Gao 001; Feng Lu 004 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction. - Lizeng Wang; Shifen Cheng; Feng Lu 004 (Knowl. Based Syst., 2025)

An explainable spatial interpolation method considering spatial stratified heterogeneity. - Shifen Cheng; Wenhui Zhang; Peng Luo; Lizeng Wang; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 2025)

A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation. - Xiaoyue Luo; Shifen Cheng; Lizeng Wang; Yuxuan Liang; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 2025)

FairSTG: Countering Performance Heterogeneity via Collaborative Sample-Level Optimization. - Gengyu Lin; Zhengyang Zhou; Qihe Huang; Kuo Yang; Shifen Cheng; Yang Wang 015 (IEEE Trans. Mob. Comput., 2025)