2017-08-14

李明晓

■   电子邮箱:limx@lreis.ac.cn
■   外部链接:Google Scholar

李明晓,男,1991年生,吉林长春人,博士,深圳大学建筑与城市规划学院博士后。研究方向为人类移动性,轨迹数据挖掘,智慧城市等。在博士阶段共发表科研论文17篇,其中第一作者论文7篇(SCI/SSCI论文3篇),撰写发明专利5项。担任Plos One、IEEE Access、Open Geosciences、ACM SIGSPATIAL、地球信息科学学报等期刊与会议审稿人。


研究兴趣

  • 人类移动性与智慧城市、轨迹数据挖掘与可视化

工作经历

  • 2020年7月-至今,深圳大学建筑与城市规划学院,博士后,合作导师:涂伟

学习经历

  • 2018年11月-2019年11月,威斯康星大学麦迪逊分校,地理信息系统,访问学者,导师:高松
  • 2014年9月-2020年6月,中国科学院地理科学与资源研究所,地图学与地理信息系统,理学博士,导师:陆锋
  • 2010年9月-2014年6月,武汉大学资源与环境科学学院,地图学与地理信息系统,理学博士

发表论著

  1. Li Mingxiao, Gao Song, Lu Feng and Zhang Hengcai. 2019. Dynamic estimation of individual exposure levels to air pollution using trajectories reconstructed from mobile phone data. International Journal of Environmental Research and Public Health. Int. J. Environ. Res. Public Health 16, 22: 4522.
  2. Li Mingxiao, Gao Song, Lu Feng and Zhang Hengcai. 2019. Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. Computers, Environment and Urban Systems, 77: 101346.
  3. Li Mingxiao, Lu Feng, Zhang Hengcai and Chen Jie. 2018. Predicting future locations of moving objects with deep fuzzy-LSTM networks. Transportmetrica A: Transport Science: 1-18.
  4. Li Mingxiao, Zhang Hengcai, Jie Chen. 2019. Fine-grained Dynamic Population Mapping Method Based on Large-scale Sparse Mobile Phone Data. IEEE International Conference on Mobile Data Management (MDM). IEEE: 473-478.
  5. Li Mingxiao, Gao Song, Liang Yunlei, Joseph Marks, Kang Yuhao, and Li. 2019 Moyin. A Data-Driven Approach to Understanding and Predicting the Spatiotemporal Availability of Street Parking. In 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL, ACM, 4 pages.
  6. Liu Xiliang, Liu Kang, Li Mingxiao and Lu Feng. 2017. A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data. IEEE Transactions on Intelligent Transportation Systems 18, 5:1241-1254.
  7. Liang Yunlei, Gao Song, Li Mingxiao, Kang Yuhao, and Rao Jinmeng. 2018. Analyzing the Gap Between Ride-hailing Location and Pick-up Location with Geographical Contexts. In 1st ACM SIGSPATIAL International Workshop on Ride-hailing Algorithms, Applications, and Systems (RAAS ’19).ACM, New York, NY, USA, 4 pages. (Accepted)
  8. Liu Xilang, Liu Kang, Li Mingxiao, Lu Feng, Liao Mengdi and Yang Ren. 2017. SHE: Stepwise Heterogeneous Ensemble Method for Citywide Traffic Analysis. ACM SIGSPATIAL Workshop on Prediction of Human Mobility. ACM: 3.
  9. Liu Kang, Qiu Peiyuan, Li Mingxiao and Lu Feng. 2016. Exploring urban travel routes' characteristics from a geometric perspective. 2016 24th International Conference on Geoinformatics. IEEE: 1-6.
  10. Yu Li, Liu Xiliang, Li Mingxiao, Peng Peng and Lu Feng. 2016. A holistic framework of geographical semantic web aligning. Proceedings of the 10th Workshop on Geographic Information Retrieval. ACM: 1.
  11. Chen Jinhai, Lu Feng, Li Mingxiao, Pengfei Huang, Xiliang Liu, and Qiang Mei. 2016. Optimization on arrangement of precaution areas serving for ships’ routeing in the Taiwan strait based on massive AIS data. Data Mining and Big Data: 123-133.
  12. Chen Jie, Pei Tao, Shih-Lung Shaw, Lu Feng, Li Mingxiao, Cheng Shifen, Liu Xiliang, and Zhang Hengcai. 2018. Fine-grained prediction of urban population using mobile phone location data. IJGIS 32, 9:1770-1786.
  13. Liu Xiliang, Lu Feng, Liu Kang, Qiu Peiyuan, Yu Li, and Li Mingxiao. 2016. A Principal Curve-based method for Geospatial Data Smoothing. In International Conference on GIScience Short Paper Proceedings 1, 1.
  14. 李明晓, 张恒才, 仇培元, 程诗奋, 陈洁, 陆锋.2018. 一种基于模糊长短期神经网络的移动对象轨迹预测算法.测绘学报 47, 12: 1660-1669.
  15. 李明晓, 陈洁, 张恒才, 仇培元, 刘康, 陆锋. 2017. 上海市精细时空尺度人口分布估计与特征分析. 地球信息科学学报, 06: 82 – 89.
  16. 陈金海, 陆锋, 李明晓. 2015. 海上主航迹带边界统计推断与海西航路警戒区布局优化分析. 地球信息科学学报 17, 10: 1196 – 1206
  17. 陈丽娜, 吴升, 陈洁, 李明晓, 陆锋. 2018. 基于手机定位数据的城市人口分布近实时预测. 地球信息科学学报 20, 4: 523 – 531.

科研项目

  1. 国家重点研发计划,室内高精度测图与实时 GIS 技术
  2. 国家自然科学基金面上项目,城市人群移动聚集与结构动态模式分析方法

申请专利

  1. 张恒才, 李明晓, 陆锋, 仇培元, 彭彭, 程诗奋. 一种人类出行系数轨迹数据插值重构方法: CN201910672777.5.
  2. 张恒才, 李明晓, 陆锋. 一种出行未来轨迹预测方法、装置、储存介质及电子设备: CN201910667629.4.
  3. 陈洁, 裴韬, 李明晓. 一种基于手机数据的城市人群疏散风险动态评价方法: CN201810765665.X.
  4. 陈洁, 裴韬, 陆锋, 李明晓, 程诗奋. 一种基于手机数据的精细尺度城市人群数量预测方法: CN201711353043.8.
  5. 陆锋, 刘希亮, 彭澎, 刘康, 李明晓, 牟乃夏. 一种面向稀疏浮动车数据条件的随机场地图匹配方法: CN201610135201.1.