Mingxiao Li
Mingxiao Li
Ph.D of University of Chinese Academy of Sciences
E-mailová adresa ověřena na:
Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic
Y Kang, S Gao, Y Liang, M Li, J Rao, J Kruse
Scientific data 7 (1), 390, 2020
A ST-CRF map-matching method for low-frequency floating car data
X Liu, K Liu, M Li, F Lu
IEEE Transactions on Intelligent Transportation Systems 18 (5), 1241-1254, 2016
Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data
M Li, S Gao, F Lu, H Zhang
Computers, Environment and Urban Systems 77, 101346, 2019
Fine-grained prediction of urban population using mobile phone location data
J Chen, T Pei, SL Shaw, F Lu, M Li, S Cheng, X Liu, H Zhang
International Journal of Geographical Information Science 32 (9), 1770-1786, 2018
Predicting future locations of moving objects with deep fuzzy-LSTM networks
M Li, F Lu, H Zhang, J Chen
Transportmetrica A: Transport Science 16 (1), 119-136, 2020
Predicting the spatiotemporal legality of on-street parking using open data and machine learning
S Gao, M Li, Y Liang, J Marks, Y Kang, M Li
Annals of GIS 25 (4), 299-312, 2019
Dynamic estimation of individual exposure levels to air pollution using trajectories reconstructed from mobile phone data
M Li, S Gao, F Lu, H Tong, H Zhang
International journal of environmental research and public health 16 (22), 4522, 2019
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks
M Li, S Gao, F Lu, K Liu, H Zhang, W Tu
International Journal of Geographical Information Science 35 (12), 2489-2516, 2021
A privacy‐preserving framework for location recommendation using decentralized collaborative machine learning
J Rao, S Gao, M Li, Q Huang
Transactions in GIS 25 (3), 1153-1175, 2021
Optimization on arrangement of precaution areas serving for ships’ routeing in the Taiwan strait based on massive AIS data
J Chen, F Lu, M Li, P Huang, X Liu, Q Mei
Data Mining and Big Data: First International Conference, DMBD 2016, Bali …, 2016
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction
T Zhao, Z Huang, W Tu, B He, R Cao, J Cao, M Li
Computers, Environment and Urban Systems 94, 101776, 2022
An enhanced model for evacuation vulnerability assessment in urban areas
J Chen, T Pei, M Li, C Song, T Ma, F Lu, SL Shaw
Computers, Environment and Urban Systems 84, 101540, 2020
Fine-grained dynamic population mapping method based on large-scale sparse mobile phone data
M Li, H Zhang, J Chen
2019 20th IEEE International Conference on Mobile Data Management (MDM), 473-478, 2019
李明晓, 张恒才, 仇培元, 程诗奋, 陈洁, 陆锋
测绘学报, 2018
陈金海, 陆锋, 李明晓
地球信息科学学报 17 (10), 1196-1206, 2015
A data-driven approach to understanding and predicting the spatiotemporal availability of street parking
M Li, S Gao, Y Liang, J Marks, Y Kang, M Li
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
陈丽娜, 吴升, 陈洁, 李明晓, 陆锋
地球信息科学学报 20 (4), 523-531, 2018
李明晓, 陈洁, 张恒才, 仇培元, 刘康, 陆锋
地球信息科学学报 19 (6), 800-807, 2017
A holistic framework of geographical semantic web aligning
L Yu, X Liu, M Li, P Peng, F Lu
Proceedings of the 10th Workshop on Geographic Information Retrieval, 1-10, 2016
Correlation analysis between nighttime light data and socioeconomic factors on fine scales
C Liu, C Wang, Y Xu, C Liu, M Li, D Zhang, G Liu, W Li, Q Zhang, Q Li
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
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Články 1–20