Mingxiao Li

Orcid: 0000-0003-0779-4432

Affiliations:

Shenzhen University, College of Civil and Transportation Engineering, China
Shenzhen University, School of Architecture and Urban Planning, China (2020 - 2023)
Chinese Acedemy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China (PhD)

According to our database¹, Mingxiao Li authored at least 19 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China.

[BibT_eX]

[DOI]

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

2022

Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction.

[BibT_eX]

[DOI]

Comput. Environ. Urban Syst., 2022

Sensing the Nighttime Economy-Housing Imbalance from a Mobile Phone Data Perspective: A Case Study in Shanghai.

[BibT_eX]

[DOI]

Mingxiao Li

Wei Tu

Feng Lu

Remote. Sens., 2022

Correlation Analysis Between Nighttime Light Data and Socioeconomic Factors on Fine Scales.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Spatial cooperative scenario simulation for infrastructure siting in Guangdong-HongKong-Macao Greater Bay Area.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 2022

2021

A privacy-preserving framework for location recommendation using decentralized collaborative machine learning.

[BibT_eX]

[DOI]

Trans. GIS, 2021

Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks.

[BibT_eX]

[DOI]

Int. J. Geogr. Inf. Sci., 2021

2020

An enhanced model for evacuation vulnerability assessment in urban areas.

[BibT_eX]

[DOI]

Comput. Environ. Urban Syst., 2020

Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data.

[BibT_eX]

[DOI]

Comput. Environ. Urban Syst., 2019

Predicting the spatiotemporal legality of on-street parking using open data and machine learning.

[BibT_eX]

[DOI]

Ann. GIS, 2019

Fine-Grained Dynamic Population Mapping Method Based on Large-Scale Sparse Mobile Phone Data.

[BibT_eX]

[DOI]

Mingxiao Li

Hengcai Zhang

Jie Chen

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

A Data-Driven Approach to Understanding and Predicting the Spatiotemporal Availability of Street Parking.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018

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

[BibT_eX]

[DOI]

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

2017

A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2017

SHE: Stepwise Heterogeneous Ensemble Method for Citywide Traffic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility, 2017

2016

A holistic framework of geographical semantic web aligning.

[BibT_eX]

[DOI]

Proceedings of the 10th Workshop on Geographic Information Retrieval, 2016

Exploring urban travel routes' characteristics from a geometric perspective.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Geoinformatics, GeoInformatics 2016, 2016

Optimization on Arrangement of Precaution Areas Serving for Ships' Routeing in the Taiwan Strait Based on Massive AIS Data.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Big Data, First International Conference, 2016

Mingxiao Li

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