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2020 – today
- 2024
[j15]Beibei Zhang
, Shifen Cheng, Peixiao Wang, Feng Lu:
Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality. Int. J. Appl. Earth Obs. Geoinformation 129: 103818 (2024)- [j14]Peixiao Wang, Tong Zhang, Hengcai Zhang, Shifen Cheng, Wangshu Wang:
Adding attention to the neural ordinary differential equation for spatio-temporal prediction. Int. J. Geogr. Inf. Sci. 38(1): 156-181 (2024) - [j13]Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, Feng Lu:
Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models. Int. J. Geogr. Inf. Sci. 38(3): 407-431 (2024) - [j12]Yibo Zhao, Shifen Cheng, Beibei Zhang, Feng Lu:
Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement. Int. J. Geogr. Inf. Sci. 38(3): 432-453 (2024) - [j11]Shifen Cheng, Lizeng Wang, Peixiao Wang, Feng Lu:
An ensemble spatial prediction method considering geospatial heterogeneity. Int. J. Geogr. Inf. Sci. 38(9): 1856-1880 (2024) - [i2]Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang:
Spatio-Temporal Field Neural Networks for Air Quality Inference. CoRR abs/2403.02354 (2024) - [i1]Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang:
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization. CoRR abs/2403.12391 (2024) - 2023
- [j10]Peng Peng, Christophe Claramunt, Shifen Cheng, Yu Yang, Feng Lu:
A multi-layer modelling approach for mining versatile ports of a global maritime transportation network. Int. J. Digit. Earth 16(1): 2129-2151 (2023) - 2022
- [j9]Chunlei Mi, Shifen Cheng, Feng Lu:
Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks. ISPRS Int. J. Geo Inf. 11(3): 185 (2022) - [j8]Peng Peng, Christophe Claramunt, Shifen Cheng, Feng Lu:
How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation. Sensors 22(22): 8595 (2022) - 2021
- [j7]Shifen Cheng, Feng Lu, Peng Peng:
Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns. IEEE Trans. Intell. Transp. Syst. 22(10): 6365-6383 (2021) - 2020
- [j6]Shifen Cheng, Peng Peng, Feng Lu:
A lightweight ensemble spatiotemporal interpolation model for geospatial data. Int. J. Geogr. Inf. Sci. 34(9): 1849-1872 (2020)
2010 – 2019
- 2019
- [j5]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting. Knowl. Based Syst. 180: 116-132 (2019) - 2018
- [j4]Jie Chen, Tao Pei, Shih-Lung Shaw, Feng Lu, Mingxiao Li, Shifen Cheng, Xiliang Liu, Hengcai Zhang:
Fine-grained prediction of urban population using mobile phone location data. Int. J. Geogr. Inf. Sci. 32(9): 1770-1786 (2018) - [j3]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting. ISPRS Int. J. Geo Inf. 7(6): 218 (2018) - [j2]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity. Comput. Environ. Urban Syst. 71: 186-198 (2018) - [c2]Shifen Cheng, Feng Lu:
Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity. EDBT/ICDT Workshops 2018: 133-140 - 2017
- [j1]Shifen Cheng, Feng Lu:
A Two-Step Method for Missing Spatio-Temporal Data Reconstruction. ISPRS Int. J. Geo Inf. 6(7): 187 (2017) - [c1]Xiliang Liu, Li Yu, Kang Liu, Peng Peng, Shifen Cheng, Mengdi Liao, Feng Lu:
ST-PF: Spatio-Temporal Particle Filter for Floating-Car Data Pre-processing. IF&GIS 2017: 197-211
Coauthor Index
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