个人简介
刘宝举,山东枣庄人,博士,中南大学地球科学与信息物理学院特聘副教授,硕/博士生导师,湖南省教育厅优青,全国高校GIS新锐。长期从事地理空间大数据挖掘、交通大数据分析等研究工作。主持国家自然科学基金青年基金及面上项目、国家重点研发计划项目子课题、湖南省教育厅优秀青年项目、中国博士后科学基金特别资助、中国博士后科学基金面上资助等项目。发表高水平学术论文20余篇,出版学术专著1部(排名2),授权国家发明专利10项、软件著作权3项,获得湖南省优秀博士学位论文、高校GIS论坛优秀博士学位论文、高校 GIS 论坛优秀论文奖等奖项。兼任IJGIS、 CEUS、 IEEE TNSE、IEEE TITS等期刊审稿人。
主持或参加科研项目
|
代表论文
[1] Bingbing Zhao, Min Deng, Siuming Lo, Baoju Liu*, Estimating built-up area carbon emissions through addressing regional development disparities with population and nighttime light data, Applied Energy, Volume 369, 2024, 123582, ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2024.123582. [2] Baoju Liu, Zhongan Tang, Min Deng, Yan Shi*, et al., Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation, Journal of Transport Geography, Volume 116, 2024, 103836, DOI: 10.1016/j.jtrangeo.2024.103836. [3] Yan Shi, Da Wang, Baoju Liu*, Min Deng, Bingrong Chen, Exploring the nonlinear relationships between human travel and road traffic congestions using taxi trajectory data, Transportation (2024). https://doi.org/10.1007/s11116-024-10476-7. [4] Deng, Y.; Tang, Z.; Liu, B.*; Shi, Y.; Deng, M.; Liu, E. Renovation and Reconstruction of Urban Land Use by a Cost-Heuristic Genetic Algorithm: A Case in Shenzhen. ISPRS Int. J. Geo-Inf. 2024, 13, 250. [5] Baoju Liu, Min Deng, Guohua Wu*, Xinyu Pei, Haifeng Li, Witold Pedrycz, Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources, IEEE Transactions on Systems Man & Cybernetics: Systems, vol. 52, no. 10, pp. 6183-6196, Oct. 2022, DOI: 10.1109/TSMC.2022.3143158. [6] Baoju Liu, Jun Long, Min Deng, Xuexi Yang*, Yan Shi. An Adaptive Route Planning Method of Connected Vehicles for Improving the Transport Efficiency. ISPRS International Journal of Geo-Information. 2022; 11(1):39. https://doi.org/10.3390/ijgi11010039. [7] Baoju Liu, Jun Long, Min Deng, Jianbo Tang*, Jincai Huang, Revealing spatiotemporal correlation of urban roads via traffic perturbation simulation, Sustainable Cities and Society, 2021, vol. 77, 103545, ISSN 2210-6707, DOI: 10.1016/j.scs.2021.103545. [8] Baoju Liu, Min Deng, Jingyi Yang, Yan Shi*, Jincai Huang, Chengming Li, Bingwen Qiu, Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity, Computers, Environment and Urban Systems, vol. 87, 2021, 101616, ISSN 0198-9715. [9] Yan Shi, Da Wang, Jianbo Tang, Min Deng, Huimin Liu, Baoju Liu*, Detecting spatiotemporal extents of traffic congestion: A density-based moving object clustering approach, International Journal of Geographical Information Science, 2021, 35:7, 1449-1473, DOI: 10.1080/13658816.2021.1905820. [10] Min Deng, Baoju Liu, Sumin Li, Ronghua Du, Guohua Wu*, Haifeng Li, Ling Wang, A Two-phase Coordinated Planning Approach for Heterogeneous Earth-observation Resources to Monitor Area Targets, IEEE Transactions on Systems Man & Cybernetics: Systems, vol. 51, no. 10, pp. 6388-6403, Oct. 2021. [11] Baoju Liu, Min Deng, Huimin Liu*, Yan Shi, Bin Zhao, A Multilevel Visual Feature Based Approach for Measuring the Spatial Information in Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, vol. 12, no. 10, pp. 4110-4122. [12] Shi Yan; Wang Da; Ni Zihe; Liu Huimin*; Liu Baoju; Deng Min. A sequential pattern mining based approach to adaptively detect anomalous paths in taxi trajectories, IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3165066, April, 2022. [13] Liang Luo, Min Deng, Yan Shi, Shijuan Gao, Baoju Liu. Associating geographical environments with street crime incidences in space using a zero-inflated negative binomial regression model. Cities. Volume 129, October 2022, 103834. [14] Huang, Jincai and Shi, Yan and He, Zhanjun and He, Zhengbing and Liu, Baoju, Exploring Spatial Variations in the Ridership of Taxicabs: A Comparison between Online and Offline Car-Hailing, DOI: 10.2139/ssrn.4254674, SSRN, 21 Oct 2022. [15] 刘慧敏, 刘宝举, 邓敏, 樊子德. 地图空间信息度量的模型与方法[M]. 测绘出版社, 2023:06. [16] 裴新宇,刘宝举,邓敏*,伍国华,白雪,胡淑苓.基于合同网的对地观测资源动态协同规划方法[J].北京航空航天大学学报, 2020,46(10):1853-1862. (EI) [17] 刘慧敏,徐方远,刘宝举*,邓敏.基于CNN-LSTM的岩爆危险等级时序预测方法[J].中南大学学报(自然科学版),2021,52(03):659-670. (EI) [18] 刘慧敏,邓敏,刘宝举,陈杰.大数据智能时代地图学课程内容改革探索[J].测绘通报,2021(06):152-155+165.DOI:10.13474/j.cnki.11-2246.2021.0195. [19] 刘宝举,刘慧敏,邓敏,樊子德.一种基于栅格的加权Voronoi图构建普适方法[J].地理与地理信息科学,2016,32(04):17-22. (CSCD) [20] 伍国华,王慧林,刘宝举,李海峰. 面向区域目标侦察的异构空天地观测资源协同任务规划方法. 高分辨率对地观测学术联盟.第五届高分辨率对地观测学术年会论文集, 2018:11. |
发明专利
[1] 何骁;汤仲安;刘宝举;邓敏. 城市空间的竞争合作强度计算方法及系统[P].中国专利: ZL202410552053.8, 2024-08-09. [2] 刘宝举;龙军;邓敏;石岩;杨学习.分布式框架下交通流动态协同分配方法[P].中国专利: ZL202110480692.4, 2021-08-03. [3] 刘宝举;邓敏;龙军;石岩. 一种面向道路封锁的路网交通流变动定量计算方法[P].中国专利: ZL202110442022.3, 2022-01-13. [4] 邓敏;刘宝举;伍国华;李海峰. 一种空天地观测资源的协同规划方法 [P].中国专利: ZL201710399301.X, 2020-02-07. [5] 李海峰;刘宝举;伍国华;邓敏.一种空天地对地观测的区域任务分解方法[P].中国专利: ZL201710398869.X, 2020-02-07. [6] 徐方远;刘宝举;刘慧敏;邓敏.基于综合 CNN-LSTM 的岩爆状态预测方法[P].中国专利: ZL201910712725.6, 2020-05-26. [7] 邓敏;刘宝举;伍国华;李海峰;裴新宇. 一种基于合同网机制的对地观测资源动态规划方法 [P]. 中国专利: ZL201811351029.9, 2019-03-01. [8] 刘宝举;邓敏;杨靖夷;石岩;王晶;刘兴权. 交通起讫点需求估算方法[P]. 中国专利: ZL202011310723.3, 2022-07-08. [9] 邓敏;刘宝举;裴新宇;杨靖夷;王晶. 基于人类移动的城市区域交互异常关系识别方法及设备[P]. 中国专利: ZL202010103108.9, 2022-08-16. [10] 王晶; 邓敏; 唐建波; 丁晨; 刘宝举. 一种基于纹理复杂度分类的遥感图像快速加密方法,CN202111211805.7 2022-12-13.
|
软件著作权
[1] 刘宝举;邓敏;石岩;邵珊珊. 车路协同智能交通管理系统. 6128372. 2020-11-03. [2] 李海峰;刘宝举;韦君;邓敏.空天地一体化遥感观测网自主协同规划软件. 2159695. 2017-10-18. [3] 李海峰;刘宝举;韦君;邓敏.空天地一体化基础观测网最优配置软件. 2186491. 2017-11-02. |
荣誉奖励
|
社会兼职
[1] Applied Sciences (SCI Q2) 客座主编 [2] IJGIS、CEUS、IEEE TNSE、IEEE TITS 、Environmental Science and Pollution Research 等期刊审稿人
|
教育经历
[1] 2017.9-2020.11
中南大学 博士学位
[2] 2014.9-2017.6
中南大学 硕士学位
[3] 2010.9-2014.6
山东科技大学 学士学位
工作经历
[1] 2022.11-至今
中南大学
|
地球科学与信息物理学院
|
特聘副教授
[2] 2021.2-2022.11
中南大学
|
大数据研究院
|
博士后
[3] 2021.3-2022.11
香港中文大学
|
访问学者
其他联系方式
[1] 邮编:
[6] 邮箱: