Director

Shaohua Wang

about
Shaohua Wang
Aerospace Information Research Institute,
Chinese Academy of Sciences
Innovative Research Fellow

Biography

Shaohua Wang, PhD, is an innovative professor and graduate supervisor at the Aerospace Information Research Institute, Chinese Academy of Sciences, as well as Deputy Director of Key Laboratory of Remote Sensing and Digital Earth, Chinese Academy of Sciences. He also serves as a part-time researcher at the China Association for Geographic Information System. His research focuses on remote sensing big data analysis and AI, geographic spatial intelligence, and social remote sensing geographic computation.

Prior to returning to China, he worked as a postdoctoral fellow at the Department of Geography at the University of California, Santa Barbara, the SPARC Center at Arizona State University, and the CyberGIS Center at the University of Illinois Urbana-Champaign.

He has received awards such as the Special Award for Progress in Chinese Geographic Information Technology and the First Prize for Science and Technology in Beijing. In recent years, he has published over 100 academic papers, with more than 30 SCI/SSCI articles as first or corresponding author in authoritative journals such as the IEEE Transactions on Geoscience and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, International Journal of Geographical Information Science, Future Generation Computer Systems, and Sustainable Cities and Society.

Additionally, he is a BOD of the International Association of Chinese Professionals in Geographic Information Sciences (CPGIS), the vice-chairman of the Social Remote Sensing Geocomputation Committee of the China Remote Sensing Application Association and the committee member of the Resource Mapping Professional Committee of the Chinese Natural Resources Society.

Research interests

  1. Remote Sensing Big Data Analysis
  2. Remote Sensing AI
  3. Geographic Spatial Intelligence
  4. Social Remote Sensing Geographic Computation

Education

  • 2008-09-2013-06, Institute of Geographic Sciences and Natural Resources Research Natural Resources Research, Chinese Academy of Sciences, Cartography and Geographic Information Systems, Ph.D

  • 2002-09-2006-06, Beijing University of Chemical Technology, Information and Computational Science, B.S.

Experience

  • 2021-09-Present, Aerospace Information Research Institute, Chinese Academy of Sciences. Innovative Research Fellow

  • 2019-08-2021-09, CyberGIS Center, University of Illinois at Urbana-Champaign, USA.

  • 2018-07-2019-08, Spatial Analysis Research Center (SPARC), Arizona State University, USA.

  • 2016-04-2018-07, Department of Geography, University of California, Santa Barbara, USA.

  • 2013-09-2016-04, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

  • 2006-07-2008-08, SuperMap Research Institute, SuperMap Software Co., Ltd., Beijing, China. Software Enginee

Publications

  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)

Projects

[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

Patents

[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)

Awards

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).