李明晓
Personal information
Highest Degree：Doctoral degree Professional Title：Assistant Professor
Journal Paper
- [1]Li Mingxiao, Gao Song, Qiu Peiyuan, et al. Fine-grained crowd distribution forecasting with multi-order spatial interactions using mobile phone data,Transportation research part C: Emerging technologies, 2022, 144: 103908,.
- [2]Li Mingxiao, Tu Wei, Lu Feng. Sensing the Nighttime Economy–Housing Imbalance from a Mobile Phone Data Perspective: A Case Study in Shanghai,Remote Sensing, 2022, 14(12):2738,.
- [3]Li Mingxiao, Gao Song, Lu Feng, et al. Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks,International Journal of Geographical Information Science, 2021, 35:12, 2489-2516,.
- [4]Li Mingxiao, Gao Song, Lu Feng, et al. Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data,Computers, Environment and Urban Systems, 2019, 77: 101346,.
- [5]Li Mingxiao, Lu Feng, Zhang Hengcai, et al. Predicting future locations of moving objects with deep fuzzy-LSTM networks,Transportmetrica A: Transport Science, 2020, 16(1): 119-136,.
- [6]Tong Huan*, Li Mingxiao*, Kang Jian*. Relationships between building attributes and COVID-19 infection in London,Building & Environment, 2022, 109581,.
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