姚尧

基本信息Personal Information

副教授 硕士生导师

性别 : 男

毕业院校 : 中山大学

学历 : 研究生(博士)毕业

学位 : 理学博士学位

在职信息 : 在职

所在单位 : 地理与信息工程学院

入职时间 : 2018年03月05日

学科 : 地理空间信息工程 软件工程 地理信息科学

办公地点 : 湖北省武汉市洪山区鲁磨路388号中国地质大学(武汉)西区工程中心426

联系方式 : yaoy@cug.edu.cn

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个人简介Personal Profile

姚尧,博士、副教授、硕士生导师,长期以来致力于多源时空数据挖掘和多尺度城市计算领域开展研究,在多源大数据和城市计算的研究领域取得了较好的研究成果。

    自2014年以来共发表精细尺度城市计算相关SCI/SSCI顶级刊物论文30余篇(5篇ESI高被引)。曾就职于航天五院遥感应用中心和阿里巴巴集团公司数据中心,负责空间数据处理系统总体设计和多源大数据挖掘算法设计等工程化经验。现兼职于阿里巴巴集团数据技术与产品部的访问学者,负责阿里巴巴集团数据中心LBS数据挖掘相关科研项目及落地。

    姚尧博士曾工作于中国空间技术研究院(中国航天科技集团第五研究院),担任系统遥感事业部算法工程师,负责多个国家重点型号项目数据分析和处理系统的设计和研发,具有丰富的科学工程经验。曾作为技术总体负责人负责委内瑞拉遥感卫星1号(VRSS-1)地面典型应用系统(TAS)(现中国航天遥感应用南美节点)设计和研发工作。参与多个国家重点型号项目,包括联合国环境署(UNEP)非洲水资源调查项目、国家深空探测计划嫦娥三号(CE-3)探月卫星遥感数据质量评价分系统和国家“十二五”计划GF系列卫星减灾应用系统需求分析等担任技术负责人。

    姚尧博士已经成为International Journal of Geographical Information Science (IJGIS)、International Journal of Remote Sensing (IJRS)、Transactions In GIS (TGIS)、Computers Environment and Urban Systems (CEUS)、Sustainable Cities and Society (SCS)、EPJ Data Science (EPJD) 和Journal of Spatial Science (JSS) 等多个地理信息、遥感学科、计算机科学和数据科学国际权威SCI/SSCI期刊的审稿人。

    作为住建部城市科学研究会高级会员,姚尧博士与包括武汉大学、中山大学、深圳大学、美国Stanford University、日本东京大学、阿里巴巴公司达摩院和美国Google Tensorflow等团队开展了基于地理位置的服务、大数据技术和城市精细模拟与应用等方面开展合作、研究和交流。

    欢迎3S(GNSS/RS/GIS)、计算机科学和数据科学等专业背景的同学们,加入高性能空间智能计算实验室(CUG-HPSCIL)和姚尧博士的研究生团队!


详见Researchgate主页:https://www.researchgate.net/profile/Yao_Yao42/

微信公众号: iGEODATA



学术成果 (*表示通讯作者)

[1] 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检索)

[2] 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检索)

[3] 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检索)

[4] 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检索)

[5] 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. DOI: 10.1016/j.compenvurbsys.2019.101374. (SSCI检索)

[6] Wang, R., Helbich, M., Yao, Y., Zhang, J., Liu, P., Yuan, Y.*, & Liu, Y.*. 2019. Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures, Environmental Research. DOI: 10.1016/j.envres.2019.108535. (SCI/SSCI检索)

[7] 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检索)

[8] 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检索)

[9] 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检索)

[10] 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检索,共同第一作者)

[11] 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检索)

[12] Wang, R., Chen, H.*, Liu, Y., Lu, Y., Yao, Y. 2019. Neighborhood social reciprocity and mental health among older adults in China: the mediating effects of physical activity, social interaction, and volunteering. BMC Public Health. DOI: 10.1186/s12889-019-7385-x. (SCI检索)

[13] 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检索)

[14] 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检索)

[15] 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检索)

[16] 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检索)

[17] 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检索)

[18] 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检索)

[19] 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检索)

[20] 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检索)

[21] 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检索)

[22] 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检索)

[23] 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检索)

[24] 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检索)

[25] 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检索)

[26] 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检索)

[27] 姚尧, 张亚涛*, 关庆锋, 麦可, 张金宝. 使用时序出租车轨迹识别多层次城市功能结构[J]. 武汉大学学报·信息科学版, 2019, 44(6): 875-884. (EI检索)

[28] 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.

[29] 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.

[30] 姚尧, 黎夏*, 张亚涛, 张金宝 & 麦可., 2016. 基于手机信令数据的城市空间广告精准投放. 中国地理信息科学理论与方法学术年会, 深圳.

[31] 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.

[32] 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.

[33] 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.

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项目经历

[1] 主持“宝贝在哪”寻亲服务发布(http://www.baobeizaina.cn),公益服务项目;

[2] 主持中央高校基本科研业务费专项资金杰出人才培育基金(CUG190606),耦合多源空间大数据的中国城市贫困精细分布研究;

[3] 江西省遥感地理与用电信息相融合的农村用地性质识别与负荷预测;

[4] 主持国家科研基金项目青年科学基金(41801306),融合多源空间数据的建筑物尺度城市混合功能识别与评价;

[5] 主持武汉大学测绘遥感信息工程国家重点实验室开放基金项目(18S01),耦合夜间灯光数据和阿里大数据的微观尺度的城市经济模式分析;

[6] 国家科研基金重点项目(2018010401011293), 地理过程建模的多尺度空间协同与精细化模拟:以城市群增长为例;

[7] 国家科技重大专项,城市群经济区空间开发规划管理和辅助决策;

[8] 武汉市科研项目应用基础研究计划(2018115053),基于多源时空大数据的市政管线智能管控关键技术研究;

[9] 国家自然科学基金青年基金项目(41601420),基于地块对象的城市空间结构演化精细模拟;

[10] 阿里巴巴集团线下新零售业务选址、销售额预测等 科研项目负责人;

[11] 委内瑞拉遥感卫星1号(VRSS-1)地面典型应用系统(TAS) 技术总体负责人;

[12] 联合国环境署(UNEP)非洲水资源调查项目 遥感高级应用分系统负责人;

[13] 国家“十二五”计划GF系列卫星减灾应用系统需求分析 技术总体负责人;

[14] 国家深空探测计划嫦娥三号(CE-3)探月卫星 遥感数据质量评价分系统负责人。

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曾获荣誉

2017 - Now IJGIS/CEUS/IEEE/TGIS/IJRS/EPJD/JSS 等国际权威期刊审稿人

2018 - Now PLoS ONE 责任编辑

2016 - Now ESI高被引论文作者 * 5


2019 国际制图学大会(ICC2019, Tokyo)GIS Session 分会场主席

2019 指导中国地质大学(武汉)校级优秀毕业论文 * 2

2019 中国地质大学信息工程学院优秀教职工

2018 第七届高等院校地理信息系统(GIS)论坛优秀论文奖

2018 大学生创新创业训练计划国家级项目校级优秀奖

2018 大学生创新创业训练计划省级项目院级优秀奖

2016 中国地理信息科学理论与方法学术年会优秀学生论文奖

2015 中山大学“数据玩家—2015大数据信息价值挖掘大赛”一等奖

2012 中国航天科技集团有限公司第五研究院骨干员工

2011 武汉大学优秀毕业生(硕士)

2011 武汉大学优秀硕士毕业论文

2010 武汉大学优秀青年志愿者

2009 中国共青团中央•中国青年志愿服务一周年证书和志愿者银质奖章

2008 武汉大学优秀毕业生(本科)

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  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 人工智能和机器学习在智慧城市的应用
  • 多源空间大数据挖掘和融合
  • 城市空间变量及其动态变化的精细模拟
  • 高分辨率遥感影像处理和图像理解
  • 海量空间数据集群并行运算