Teacher

王少华

about
王少华
中国科学院空天信息创新研究院
创新研究员

个人简介

王少华，博士，中国科学院空天信息创新研究院创新研究员，研究生导师，遥感和数字地球中国科学院重点实验室副主任。研究方向为遥感大数据分析和遥感AI、地理空间智能和遥感社会地理计算。

回国前曾先后在美国加州大学圣塔芭芭拉分校地理系、亚利桑那州立大学SPARC中心和伊利诺伊厄巴纳香槟分校CyberGIS中心担任博士后研究员。

获得中国地理信息科技进步特等奖、北京市科学技术一等奖等。近年来发表学术论文100余篇，以第一作者或通讯作者在IEEE-TGRS、IJGIS、JAG、SCS等国际期刊发表SCI/SSCI文章30余篇。

中国遥感应用协会社会遥感地理计算副理事长、国际华人地理信息科学协会(简称 CPGIS) BOD、中国地理信息产业协会兼职研究员、中国自然资源学会资源制图专业委员会委员。

研究方向

  1. 遥感大数据分析
  2. 遥感AI
  3. 地理空间智能研究
  4. 遥感社会地理计算

教育经历

  • 2008-09至2013-06， 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

  • 2002-09至2006-06， 北京化工大学，信息与计算科学，理学学士

从业经历

  • 2021-09至今， 中国科学院空天信息创新研究院 创新研究员

  • 2019-08至2021-09， 美国伊利诺伊大学厄巴纳-香槟分校CyberGIS Center

  • 2018-07至2019-08， 美国亚利桑那州立大学SPARC中心

  • 2016-04至2018-07， 美国加州大学圣塔芭芭拉分校地理系

  • 2013-09至2016-04， 中国科学院地理科学与资源研究所

  • 2006-07至2008-08， 北京超图软件股份有限公司超图研究院 软件工程师

代表性著作

  1. Liang H, Wang S, Li H, et al. Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis[J]. International Journal of Digital Earth, 2024, 17(1): 2299211.
  2. Wang S, Qi H, Li T, et al. Can normalized difference vegetation index and climate data be used to estimate soil carbon, nitrogen, phosphorus and their ratios in Xizang's grasslands?[J]. Frontiers in Earth Science, 2024, 11: 1340020.
  3. Liang H, Wang S*, Li H, et al. Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis[J]. International Journal of Digital Earth, 2024, 17(1): 2299211.
  4. Chen X, Wang S*, Li H, et al. An attention model with multiple decoders for solving p-Center problems[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 125: 103526.
  5. Yu Q, Wei W, Pan Z, J He, S Wang*, D Hong. GPF-Net: Graph-Polarized Fusion Network for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.
  6. Nie S, Cai G, He J, S Wang*, et al. Economic costs and environmental benefits of deploying CCUS supply chains at scale: Insights from the source–sink matching LCA–MILP approach[J]. Fuel, 2023, 344: 128047.
  7. Wang S, Fu G. Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands[J]. Frontiers in Environmental Science, 2023, 11: 1130448.
  8. Wang S, Liang H, Zhong Y, et al. DeepMCLP: Solving the MCLP with deep reinforcement learning for urban facility location analytics[J]. 2023.
  9. Wang S, Zhang Z, Su C, et al. Spatial Optimization Site Selection of Beijing Cainiao Station Based on Multi-Source Geospatial Data[C]//Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data. 2023: 20-23.
  10. Wang S, Su C, Zhou J, et al. Analysis of the Distribution Characteristics and Influencing Factors of Advertising Billboards in Wuhan[C]//Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising. 2023: 6-14.
  11. Wang S, Wang R, Su C, et al. Optimization of shared bicycle location in Wuhan city based on multi-source geospatial big data[C]//Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications. 2023: 43-46.
  12. Wang S, Zhou J, Liang H, et al. A New Approach for Solving Location Routing Problems with Deep Reinforcement Learning of Emergency Medical Facility[C]//Proceedings of the 8th ACM SIGSPATIAL International Workshop on Security Response using GIS. 2023: 50-53.
  13. Shaohua Wang*, Yang Zhong, Erqi Wang. An Integrated GIS Platform Architecture for Spatiotemporal Big Data. Future Generation Computer Systems. 94, 160-172.
  14. Shaohua Wang, Song Gao*, Xin Feng, Alan Murray, Yuan Zeng. A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks. International Journal of Geographical Information Science. 32:7, 1368-1390
  15. Yeran Sun, Shaohua Wang*, Yu Wang. Estimating local-scale urban heat island intensity using nighttime light satellite imageries. Sustainable Cities and Society.
  16. Wenwen Li*, Shaohua Wang*, Xiaoyi Zhang, Qinren Jia, Yuanyuan Tian. Understanding intra-urban human mobility through an exploratory space-time analysis of bike-sharing trajectories. International Journal of Geographical Information Science.
  17. Xin Feng, Shaohua Wang*, Alan Murray, Yuanpei Cao, Song Gao. Multi-Objective Trajectory Optimization in Planning for Sequential Activities Across Space and Through Time. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808320913300. (SSCI)
  18. Richard Church, Shaohua Wang. Solving the p-median problem on regular and lattice networks. Computers and Operational Research. https://doi.org/10.1016/j.cor.2020.105057. (SCI)
  19. Liang Zhou, Shaohua Wang*, and Zhibang Xu. A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing. ISPRS International Journal of Geo-Information, 8(10), 2020.361. (SCI)
  20. Shaohua Wang, Yeran Sun*, Yinle Sun, Yong Guan, Zhenhua Feng, Hao Lu, Long, Liang (2019). A Hybrid Framework for High-Performance Modeling of Three-Dimensional Pipe Networks. ISPRS International Journal of Geo-Information, 8(10), 441. (SCI)
  21. Shaohua Wang, Ershun Zhong*, Kai Li, Guanfu Song, Wenwen Cai. A Novel Dynamic Physical Storage Model for Vehicle Navigation Maps. ISPRS International Journal of Geo-Information, 5(4), 53-68. 2016.doi:10.3390/ijgi5040053. (SCI)
  22. Xu Chen, Shaohua Wang*, Huilai Li, Fangzheng Lyu, Haojian Liang, Xueyan Zhang, Yang Zhong. (2022). Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks. ISPRS International Journal of Geo-Information, 11(10), 514. (SCI)
  23. Haojian Liang, Shaohua Wang*, Huilai Li, Huichun Ye, Yang Zhong. (2022). A Trade-Off Algorithm for Solving p-Center Problems with a Graph Convolutional Network. ISPRS International Journal of Geo-Information, 11(5), 270. (SCI)
  24. Shaohua Wang, Gang Fu (2023). Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands. Frontiers in Environmental Science. (SCI)

科研项目

[1] 北京市朝阳区协同创新项目，2022.07-2023.06，“地理空间智能模型与GIS平台高效嵌入关键技术研发与应用”
[2] 海南省自然科学基金面上项目，2023.01-2024.12 ，耦合遥感大数据和空间智能的槟榔黄化病预测预报方法研究
[3] 北京市传感器重点实验室开放课题，2022.07-2023.06 “面向复杂情景的声传感器的特征分析及配置优化”
[4] 国家测绘局测绘公益项目，2015.01-2016.12，“地理空间数据内容模型与存储格式标准化研究”课题-GIS数据格式检查软件
[5] 北京市优秀人才资助项目，2015.01-2016.12，“面向大数据的商业地理信息系统关键技术研究”
[6] 中国营养学术开放课题，2016.01-2016.12， “中国儿童营养地图”
[7] 北京市科委科技创新战略研究及专家咨询专项研究课题，2015.03-2015.12，“京津冀空间信息产业一体化发展专题调研”
[8] 北京市科委新技术培育项目，2015.01-2016.04，面向海量地理信息数据存储和并行空间分析的高性能GIS系统研制

申请或授权发明专利

[1] 基于消息的分布式空间数据处理系统，授权专利(ZL201610864468.4)
[2] 一种GIS软件中针对大数据的可视化管理方法，授权专利(ZL201611182291.6)

获奖情况

1.基于大数据的城市全量建筑动态监测关键技术与应用，中国地理信息产业协会，地理信息科技进步奖获奖，二等奖，2023（牛锐，黄迎春，张劲松，王涨，靖常峰，杨伯钢，吴军，霍春雷，耿源浩，王少华）
2. 云端一体化SuperMapGIS软件平台研发及产业化，北京市人民政府，科学技术奖，一等奖，2015（钟耳顺、宋关福、王尔琪、李绍俊、梁军、胡中南、谢林、冯振华、曾志明、王少华、卢浩、周芹、李文龙、周旭、李少杰）
3. 云端一体化SuperMap GIS软件平台研发及产业化, 中国地理信息产业协会, 科技进步奖, 省部特等奖, 2014 (钟耳顺; 宋关福; 王尔琪; 李绍俊; 梁 军; 胡中南; 谢 林; 冯振华; 曾志明; 王少华; 卢 浩; 周 芹; 周 旭; 黄 骞; 莫洪源; 丁晶晶; 苏乐乐; 李文龙; 金建波; 胡辰璞; 石伟伟; 孙寅乐; 饶庆云; 云惟英; 李少杰; 周 强; 谷永权; 李玮顾; 王天宝; 张艳良).