Associate professor Supervisor of Master's Candidates
Gender : Male
Alma Mater : Sun Yat-sen University
Education Level : Postgraduate (Doctoral)
Degree : Doctoral Degree in Science
Status : Employed
School/Department : School of Information Engineering
Date of Employment : 2018-03-05
Discipline : software engineering Geographic Information Science
Business Address : Room 406, Engineering Center, China University of Geosciences, No.388 Lumo Road, Hongshan District, Wuhan, Hubei
Contact Information : firstname.lastname@example.org
2014.8 -- 2017.12
2009.9 -- 2011.6
2004.9 -- 2008.6
2018.11 -- Now
2019.3 -- Now
2018.6 -- Now
2018.3 -- Now
2018.7 -- Now
2018.7 -- Now
2017.7 -- 2018.1
2011.7 -- 2014.8
2008.9 -- 2009.7
Yao Yao，Ph.D., associate professor, master's tutor, mainly engaged in geographic information system (GIS) and geographic information science (GIScience) research.
Bio and research interests:
Yao Yao received the Surveying and Mapping engineering degree from Wuhan University (WHU) in 2008, the M.Sc. degree in Geodesy and Survey Engineering from WHU in 2011, and the Ph.D. degree in Cartography and Geography Information System from Sun Yat-sen University (SYSU) in 2017.
From 2011 to 2014, he was hired as an algorithm engineer for remote sensing application in China Academy of Space Technology, China Aerospace and Technology Corporation (CASC). Dr. Yao was hired as a senior algorithm engineer for location-based service data mining in Alibaba Group in 2017.
Dr. Yao is currently an associate professor in the School of Information Engineering, China University of Geosciences (CUG). At the same time, he worked as a visiting scholar and senior algorithm engineer at Alibaba Group (the China’s biggest online shopping platform) 's data center. He has published more than 30 journal citation report (JCR) papers (inclusing 5+ ESI High Cited Papers) since 2014.
Dr. Yao is also a reviewer for many academic journals, including International Journal of Geographical Information Science, International Journal of Remote Sensing, EPJ Data Science, Computers Environment and Urban Systems, Sustainable Cities and Society, Journal of Spatial Science and so on. His main research interests comprise multi-source big data mining, machine learning and fine-scale simulation of urban land-use dynamic changes.
Publications (* is the corresponding author):
 Zhai, Y.#, Yao Y.#, Guan Q.*, Liang X., Li X., Pan Y., Yue H., Yuan Z., & Zhou J., 2020. Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2020.1711915. (SCI/SSCI, # co-first author)
 Yao, Y.*, Wu, D., Hong, Y., Chen, D., Liang, Z., Guan, Q., Liang, X., Dai, L. 2020. Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2020.2966591. (SCI)
 Guan, Q, Ren,S, Yao,Y*, et al. 2020. Revealing the behavioral patterns of different socioeconomic groups in cities with mobile phone data and house price data. Journal of Geo-information Science, 22(1):100-112.
 Chen, D., Zhang, Y., Yao, Y.*, Hong, Y., Guan, Q., Tu, W. 2019. Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line -- based on nighttime light data and cellular automata. Applied Geography. 112(2019): 102081. (SSCI)
 Wang, R., Liu, Y., Lu, Y., Zhang, J., Liu, P., Yao, Y.*, Grekousis, G.*. 2019. Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique. Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2019.101386. (SSCI)
 Yao, Y., Liang, Z., ..., Guan, Q.*. 2019. A human-machine adversarial scoring framework for urban perception assessment using street-view images. International Journal of Geographical Information Science. DOI: 10.1080/13658816.2019.1643024. (SCI/SSCI)
 Wang, R., Liu, Y.*, ..., Yao, Y.*. 2019. The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques. International Journal of Health Geographics. DOI: 10.1186/s12942-019-0182-z. (SCI/SSCI)
 Wang, R., Yuan, Y., ..., Yao, Y.*. 2019. Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health. Health & Place. DOI: 10.1016/j.healthplace.2019.102186. (SCI/SSCI)
 Zhang, Y., Li, Q., Tu, W.*, Mai, K., Yao, Y., Chen, Y. 2019. Functional urban land use recognition integrating multi-source geospatial data and cross-correlations. Computers, Environment and Urban System. Accepted.
 Wang, R., Helbich, M., Yao, Y., Zhang, J., Liu, P., Yuan, Y.*, & Liu, Y.*. Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures, Environmental Research, 2019, DOI: 10.1016/j.envres.2019.108535. (SCI/SSCI)
 Yao, Y., Liu, P., Hong, Y., Liang, Z., Wang, R., Guan, Q.*, & Chen, J. 2019. Fine-scale Intra- and intercity commercial store site recommendations using knowledge transfer. Transactions in GIS. DOI: 10.1111/TGIS.12553. (SSCI)
 Wang, R., Lu, Y., Zhang, J., Liu, P., Yao, Y.*, Liu, Y. 2019. The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images. Journal of Transport & Health. DOI: 10.1016/j.jth.2019.02.009. (SCI)
 Hong, Y. & Yao, Y.* 2019. Hierarchical community detection and functional area identification with OSM roads and complex graph theory. International Journal of Geographical Information Science. DOI: 10.1080/13658816.2019.1584806. (SCI/SSCI)
 Marco, H.#, Yao, Y.#, Liu, Y., Zhang, J., Liu, P. & Wang, R.*. 2019. Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China. Enviroment International.DOI: 10.1016/j.envint.2019.02.013. (SCI, # co-first author)
 Wang, R., Liu, Y., Xue, D.*, Yao, Y., Liu, P., & Helbich, M. (2019). Cross-sectional associations between long-term exposure to particulate matter and depression in China: The mediating effects of sunlight, physical activity, and neighborly reciprocity. Journal of Affective Disorders. DOI: 10.1016/j.jad.2019.02.007. (SCI)
 Wang, R., Liu, Y., Xue, D.*, Yao, Y., Liu, P., & Helbich, M. 2019. Cross-sectional associations between long-term exposure to particulate matter and depression in China: The mediating effects of sunlight, physical activity, and neighborly reciprocity. Journal of Affective Disorders. DOI: 10.1016/j.jad.2019.02.007. (SCI)
 Yue, H., Guan, Q.*, Pan, Y., Chen, L., Lv, J., & Yao, Y. 2019. Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2019.1566551. (SCI/SSCI)
 Yao, Y.*, Chen, D.*, Chen, L., Wang, H. & Guan, Q. 2018. A time series of urban extent in China using DSMP/OLS nighttime light data. PLoS ONE. DOI: 10.1371/journal.pone.0198189. (SCI)
 Lv, J., Ma, T., Dong, Z., Yao, Y.* & Yuan, Z. 2018 Temporal and Spatial Analyses of the Landscape Pattern of Wuhan City Based on Remote Sensing Images. ISPRS Int. J. Geo-Inf. 7, 340. (SCI)
 He, J., Li, X.*, Yao, Y.*, Hong, Y. & Zhang, J. 2018. Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques. International Journal of Geographical Information Science. DOI: 10.1080/13658816.2018.1480783. (SCI)
 Liang, X, Liu, X.*, Li, X.*, Chen, Y.*, Tian, H. & Yao, Y. 2018. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method. Landscape and Urban Planning. 177, 47-63. DOI: j.landurbplan.2018.04.016. (SCI)
 Yao, Y*, Hong, Y.*, Wu, D, Zhang, Y. & Guan, Q. 2018. Estimating effects of the "Communities Opening" policy on alleviating traffic congestion in China's big cities by integrating ant colony optimization and complex network analyses. Computers, Environment and Urban System. DOI: 10.1016/j.compenvurbsys.2018.03.005. (SSCI)
 Yao, Y.*, Zhang, J.*, Hong, Y., Liang, H., & He, J., 2018. Mapping fine-scale urban housing prices by fusing remote-sensing images and social media data. Transactions in GIS, DOI: 10.1111/tgis.12330. (SCI)
 Zhang, D., Liu, X., Wu, X., Yao, Y., Wu, X. & Chen, Y. 2018. Multiple intra-urban land use simulations and driving factors analysis: a case study in Huicheng, China. GIScience & Remote Sensing, DOI: 10.1080/15481603.2018.1507074. (SCI)
 Yao, Y., Liu, X.*, Li, X.*, Liu, P, Hong, Y., Zhang, Y. & Mai, K., 2017. Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata. International Journal of Geographical Information Science, 31(12): 2452-2479. (SCI)
 Yao, Y., Li, X.*, Liu, X.*, Liu, P., Liang, Z., Zhang, J. & Mai, K., 2017. Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model. International Journal of Geographical Information Science, 31(4), 825-848. (SCI)
 Yao, Y., Liu, X.*, Li, X., Zhang, J., Liang, Z., Mai, K. & Zhang, Y., 2017. Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. International Journal of Geographical Information Science, 31(6), 1220-1244. (SCI)
 Liu, X., He, J., Yao, Y.*, Zhang, J., Liang, H., Wang, H., & Hong, Y., 2017. Classifying urban land use by integrating remote sensing and social media data. International Journal of Geographical Information Science, 31(8): 1675-1696. (SCI)
 Chen, Y., Liu, X.*, Li, X., Liu, X., Yao, Y., Hu, G., Xu, X. & Pei, F., 2017. Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method. Landscape and Urban Planning, 160, 48-60. (SCI)
 He, Y., Ai, B.*, Yao, Y., & Zhong, F., 2015. Deriving urban dynamic evolution rules from self-adaptive cellular automata with multi-temporal remote sensing images. International Journal of Applied Earth Observation and Geoinformation, 38, 164-174. (SCI)
 YAO Yao, ZHANG Yatao, GUAN Qingfeng, MAI Ke, ZHANG Jinbao. Sensing Multi-level Urban Functional Structures by Using Time Series Taxi Trajectory Data. GEOMATICS AND INFORMATION SCIENCE OF WUHAN UNIVERS, 2019, 44(6): 875-884.
 Yao, Y.*, Wu, D., …, & Cai, Y. 2019. Analyzing the effects of rainfall on the urban traffic congestion bottlenecks by using floating car data. IEEE Geoscience and Remote Sensing Society (IGARSS 2019), Yokohama, Japan.
 Yao, Y., Zhou J., Guan Q.* & Zhai Y. 2019. Delineation of Chinese county-scale urban function patterns with the real-time Tencent user density. International Cartographic Association (ICC 2019), Tokyo, Japan.
 Yao, Y., Liang, H., Li, X.*, & Zhang J., 2017. Sensing urban land use patterns by integrating Google Tensorflow and scene classification models. The International Workshop on Image and Data Fusion (IWIDF), ISPRS. Wuhan, China.
 Yao, Y., Hong, Y., Li, X*, & Wu, D. 2017. Estimating effects of the "Communities Opening" policy on alleviating traffic congestion in China's big cities. The Third International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM), ISPRS. Wuhan, China.
 Yao, Y., Liang, Z., Li, X*, Zhang, J. & Chen, G. 2017. Redefining Guangdong Province’s city system by integrating multi- source open spatial data -based on Natural City. International Symposium on Geoenvironmental Informatics (ISGEI), Hongkong, China.
Chair the National Natural Science Foundation of China (Grant No. 41801306)
Participate in the National Natural Science Foundation of China (Grant No. 41601420)
Site recommendation of offline-stores for Alibaba Group Visiting Fellow
Typical Application System (TAS) Development -- Affiliated to Venezuelan Remote Sensing Satellite (VRSS-1) Chief Technical Principal
African Water Resources Survey -- Affiliated to United Nations Environment Program (UNEP) Principal of the Advanced Remote Sensing Application Subsystem
Demand Analysis of GF Series Satellite’s Disaster Reduction Application System -- Affiliated to National 12th Five-Year Plan Chief Technical Principal
Chang'e-3 Lunar Probe (CE-3) -- Affiliated to National Deep Space Exploration Plan Principal of the Quality Assessment Subsystem of Satellite Remote Sensing Image