Name: He Bing, Doctor of Engineering, Associate Professor
Email: bingh@cuit.edu.cn
Research and postgraduate enrollment direction:
1. Urban computing (computing vision, reinforcement learning direction)
2. Design and optimization of spatio-temporal data mining algorithm
3. Spatial data intelligent modeling and spatial optimization
Profile:
He Bing, associate professor, master's supervisor, Shenzhen high-level reserve talent, obtained a doctorate degree in cartography and geographic information engineering from Tongji University, and successively engaged in research work in the fields of spatial information, urban computing, spatial high-performance computing, etc. in the Chengdu Institute of Mountain Hazards and Environment, Ministry of Water Resources, Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, etc, In 2018, he left the post doctoral mobile station of computer science and technology. At present, the main research directions are urban computing and spatial intelligence. Presided over 5 programs including National Natural Science Foundation of China Youth Program and Shenzhen Natural Science Foundation General Program. Participated in more than 10 projects including the National Natural Science Foundation of China, key research and development projects of the Ministry of Science and Technology, the National 863 Plan, the National Water Resources Census of the Ministry of Water Resources, the strategic leader of the Chinese Academy of Sciences, key research and development projects in Guangdong Province, key research and development projects in Shenzhen, sustainable development projects in Shenzhen, and application demonstration projects in Shenzhen. More than 30 academic papers have been published in international authoritative journals and academic conferences, including 14 SCI searches, 7 EI papers, 8 authorized invention patents, 6 software copyrights, 1 provincial and ministerial award, and 3 power industry/enterprise/association awards. Relevant achievements have been applied to power big data simulation, traffic planning, emergency evacuation, environmental monitoring and other fields. Member of China Computer Society (CCF), China Geographical Society (GSC) and China Simulation Society (CSF), and reviewer of 8 international academic journals, including Geoscience and Remote Sensing Letters, Frontiers of Earth Science, Remote Sensing, and ISPRS IJGI.
Scientific research projects presided over and participated in in recent 5 years:
1. National Natural Science Foundation of China Youth Program: Research on the spatio-temporal characteristics and diversion model of self driving tourist flow in coastal scenic spots driven by tracks (41701167), project host.
2. General project of Shenzhen Natural Science Foundation: Research on Key Technologies of Regional Emergency Dredging of Tourism Traffic Based on Low Altitude UAV Remote Sensing (JCYJ20190812171419161), project host.
3. Key research and development of the Ministry of Science and Technology: Most of the community security risks are the research on three-dimensional intelligent perception technology and equipment (2019YFC0810704), mainly completed by.
4. Key R&D in Guangdong Province: R&D and application demonstration of key technologies and equipment for fire monitoring, early warning and fire fighting and rescue of super high-rise buildings (2019B111102002), mainly completed by.
5. Sustainable development of Shenzhen Science and Technology Innovation Commission: key technology research and development of urban waterlogging risk monitoring and early warning system (KCXFZ202002011007040), mainly completed by.
6. General program of National Natural Science Foundation of China: Research on 3D reconstruction of urban large scenes based on crowdsourcing and active data collection (61972388), participant.
Current teaching:
Basics of Big Data Application, undergraduate/postgraduate
Computational vision
machine learning
Papers published in recent 5 years (* is the corresponding author):
1.He Bing, Liu Kang*, Hu Jinxing, Xue Jianzhang.“Exploring park visit variability using cell phone data in Shenzhen, China”. Remote Sensing (SCI, Q1, IF 5.439)
2.He Bing, Huang Dian, Liu Kang, Bo Kong*, et al.“Spatial variations in vegetation greening in 439 cities of China from 2000 to 2020 based on MODIS EVI data”. Frontiers in Ecology and Evolution(SCI, Q1, IF 4.493).
3.He Bing, Xu Zhifeng*, Xu Yangjie.“Integrating semantic zoning information with the prediction of road link speed based on taxi GPS data”. Complexity, Volume 2020.(SCI, Q2, IF 2.121)
4.He Bing, Liu Kang*, Xue Zhe.“Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi - A Case Study of Shenzhen”, ISPRS International Journal of Geo-Information, 2021,10 (SCI, Q2, IF 3.099).
5.He Bing, Kong Bo*, Yin Ling, Wu Qin.“Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China”, Journal of Advanced Transportation, Volume 2020.(SCI, Q3, IF 2.2495)
6.Kong Bo,He Bing*, Liu Xiangmeng, Yu Huan. Spatial and temporal characteristics of evapotranspiration in the upper Minjiang River Basin based on SiB2 model. Land, 2022. (SCI, Q2, IF 3.905)
7.Kong Bo,He Bing*.“An Integrated Field and Hyperspectral Remote Sensing Method for the Estimation of Pigments Content of Stipa Purpurea in Shenzha, Tibet”. Mathematical Problems in Engineering, 2017.(SCI, Q4, IF 1.430)
8.Huang Dian,He Bing, Wei Lai, Feng Shengzhong*.“Impact of land cover on air pollution at different spatial scales in the vicinity of metropolitan areas”. Ecological Indicators(SCI, Q2, IF 6.263).
9.Wang Shuqiang, Wang Xiangyu, Shen Yanyan*,He Bing, et al.“An ensemble-based densely-connected deep learning system for assessment of skeletal maturity”. IEEE Transactions on Systems, Man, and Cybernetics-Systems, 2020.(SCI, Q1, IF 11.471)
10.Wu Qin, Wang Sirui, Cao Jiashuo,He Bing, et al.“Object recognition-based second language learning educational robot system for chinese preschool children”. IEEE Access, 2019.(SCI, Q2, IF 3.476)