深圳大学主页平台管理系统 Li Mingxiao--Home--Scientific Research

李明晓

Personal information

Highest Degree：Doctoral degree
Professional Title：Assistant Professor

Scientific Research

Home - Scientific Research

Vertical Project

[1] 国家自然科学基金,(42101463),基于稀疏手机定位数据的城市人群分布近实时预测,In research.主持.
[2] 中国博士后科学基金,(2021M692164),基于海量稀疏手机数据的城市高时空分辨率人口分布预测,Completed.主持.
[3] 资源与环境信息国家重点实验室开放基金,城市人群移动动态观测与时空模拟,In research.主持.
[4] 广东省基础与应用基础研究基金区域联合基金,(2020A1515111166),基于多源稀疏轨迹大数据的城市精细时空粒度人口分布预测,In research.主持.
[5] 国家重点研发计划,粤港澳大湾区城市群综合决策和协同服务研究与示范,In research.参与.
[6] 国家重点研发计划,室内高精度测图与实时 GIS 技术,Completed.参与.

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,.

Patent Authorization

[1] Invent，基于物理空间与社交网络空间交互的人口分布预测方法，ZL 2020 1 129580.0
[2] Invent，一种人群分布预测方法、装置、设备及存储介质，ZL 2021 1 0975975.6