研究方法：时空数据挖掘、时空现象建模、时空过程模拟、地理信息系统

应用领域：人类时空行为分析、城市计算、交通地理、空间流行病

   

081203-计算机应用技术

城市大数据挖掘、传染病建模
地理信息科学
交通地理

2006-08--2011-05 The University of Tennessee at Knoxville 博士
2003-09--2006-07 南京大学 硕士
1999-09--2003-07 南京大学 学士

   

2020-12~现在, 中国科学院深圳先进技术研究院, 研究员
2013-11~2020-11,中国科学院深圳先进技术研究院, 副研究员
2011-06~2013-10,中国科学院深圳先进技术研究院, 助理研究员

   

（1） 新冠肺炎疫情时空大数据精准防控方法、技术与应用, 二等奖, 省级, 2022
（2） 重大呼吸道传染病疫情防控大数据方法、技术与应用, 特等奖, 其他, 2021
（3） 基于人员流动大数据的疫情精准防控关键技术与应用, 一等奖, 市地级, 2021
（4） 广东“最美科技工作者”, 省级, 2020
（5） 大数据支持下的城市人群出行活动探测与时空服务关键技术, 二等奖, 部委级, 2019
（6） 第一届国际城市信息学大会最佳论文奖, , 其他, 2017
（7） 深圳市后备级人才, 市地级, 2017
（8） 深圳市南山区领航人才, 市地级, 2016
（9） 深圳市海外高层次人才“孔雀人才”, 市地级, 2014
（10） Robert G. Long Outstanding Graduate Student Award, , 研究所（学校）, 2011
（11） AAG GIS Paper Competition Finalist, , 其他, 2010

[1] 尹凌, 张帆, 刘康. 面向地铁乘客的朋友推荐方法及系统. CN: CN110162520B, 2021-07-20.
[2] 尹凌, 杜小晶, 宋晓晴, 林楠. 一种传染病防控方法及系统. CN: CN107133901B, 2020-11-03.
[3] 刘康, 尹凌, 奚桂锴. 城市内部登革热时空预测方法、系统及电子设备. CN: CN111554408A, 2020-08-18.
[4] 闫增祥, 黄典, 尹凌, 胡金星, 冯圣中. 一种臭氧缺失数据的插补方法、装置及插补设备. CN: CN111443163A, 2020-07-24.
[5] 尹凌, 奚桂锴. 一种文件碎片分类方法及系统. CN: CN110928848A, 2020-03-27.
[6] 刘康, 尹凌. 区域POI配置可视化方法及系统. CN: CN110909627A, 2020-03-24.
[7] 刘康, 尹凌, 江锦成. 地铁站服务范围确定方法及系统. CN: CN110895551A, 2020-03-20.
[8] 张帆, 尹凌, 刘康. 一种基于刷卡数据的地铁站点功能及其演化识别方法、系统及电子设备. CN: CN110738244A, 2020-01-31.
[9] 刘康, 尹凌. 城市地铁站域的认知场所特征识别方法及系统. CN: CN110597945A, 2019-12-20.
[10] 尹凌, 杜小晶, 宋晓晴, 林楠. 一种传染病防控方法及系统. CN: CN107277763B, 2019-12-06.
[11] 姜仁荣, 尹凌, 罗平, 陈飞. 一种人口空间分布的模拟方法及装置. CN: CN106255069B, 2019-11-08.
[12] 刘康, 尹凌. 城市地铁站域的认知场所特征识别方法及系统. CN: CN110377678A, 2019-10-25.
[13] 赵志远, 尹凌, 胡金星, 冯圣中, 黄思林. 一种车流信息监测设备的设置方法及系统. CN: CN106816010B, 2019-10-18.
[14] 尹凌, 张帆, 刘康. 基于地铁空间的传染病扩散分析方法及系统. CN: CN110147419A, 2019-08-20.
[15] 赵志远, 尹凌, 方志祥. 一种轨迹数据停留识别方法及系统. CN: CN106156528B, 2019-03-05.
[16] 尹凌, 王倩, 汪伟, 胡金星, 林楠, 刘耿. 基于空间聚合的轨迹数据隐私保护方法及系统. 中国: CN105205408B, 2018-11-06.
[17] 尹凌, 王倩, 汪伟, 胡金星, 林楠, 刘耿. 基于高风险频繁活动点替换策略的隐私保护方法及系统. 中国: CN105260670B, 2018-07-31.
[18] 王书强, 谈维棋, 申妍燕, 胡金星, 尹凌, 曾春霞. 一种基于弥散张量成像技术的疾病诊断辅助系统. 中国: CN104361318B, 2018-02-06.
[19] 王书强, 谈维棋, 胡金星, 申妍燕, 尹凌, 曾春霞, 朱英涛. 一种弥散张量图像特征提取的方法及系统. 中国: CN104408713B, 2018-01-05.
[20] 尹凌, 杜小晶, 宋晓晴, 林楠. 一种传染病防控方法及系统. 中国: CN107133901A, 2017.09.05.
[21] 李晓明, 尹凌, 贺彪, 陈飞. 一种人口空间分布的模拟方法及装置. 中国: CN106231555A, 2016-12-14.
[22] 杨胜, 胡金星, 尹凌, 王书强, 王倩, 卢依枫. 公共场所人群疏散仿真方法及系统. 中国: CN105468801A, 2016-04-06.
[23] 卢倚枫, 於琦, 尹凌, 胡金星, 曾春霞. 应急疏散仿真预案规划方法及系统. 中国: CN105373995A, 2016-03-02.

   

[1] 尹凌, 刘康, 张浩, 奚桂锴, 李璇, 李子垠, 薛建章. 耦合人群移动的COVID-19传染病模型研究进展. 地球信息科学学报[J]. 2021, [2] Liu, Kang, Yin, Ling, Zhang, Meng, Kang, Min, Deng, AiPing, Li, QingLan, Song, Tie. Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images. INFECTIOUS DISEASES OF POVERTY[J]. 2021, 10(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992840/.
[3] Wang, Ruxin, Ji, Chaojie, Jiang, Zhiming, Wu, Yongsheng, Yin, Ling, Li, Ye. A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2021, 8(4): 938-945, http://dx.doi.org/10.1109/TCSS.2021.3060952.
[4] Yin, Ling, Zhang, Hao, Li, Yuan, Liu, Kang, Tianmu Chen, Luo, Wei, Shengjie Lai, Li, Ye, Xiujuan Tang, Ning, Li, Feng, Shengzhong, Wei, Yanjie, Zhao, Zhiyuan, Wen, Ying, Liang Mao, Mei, Shujiang. A data driven agent-based model that recommends non-pharmaceutical interventions to suppress COVID-19 resurgence in megacities. Journal of the Royal Society Interface[J]. 2021, [5] Yin, Ling, Lin, Nan, Zhao, Zhiyuan. Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data. CITIES[J]. 2021, 109: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809620/.
[6] 方志祥, 裴韬, 尹凌. “全球新型冠状病毒肺炎（COVID-19）疫情动态的时空建模与可视化决策分析”专辑导言. 地球信息科学学报. 2021, 23(2): 187-187, http://lib.cqvip.com/Qikan/Article/Detail?id=7104188983.
[7] Yang, Xiping, Fang, Zhixiang, Xu, Yang, Yin, Ling, Li, Junyi, Zhao, Zhiyuan. Revealing temporal stay patterns in human mobility using large-scale mobile phone location data. TRANSACTIONS IN GIS[J]. 2021, 25(4): 1927-1948, http://dx.doi.org/10.1111/tgis.12750.
[8] Guo, Sihui, Pei, Tao, Xie, Shuyun, Song, Ci, Chen, Jie, Liu, Yaxi, Shu, Hua, Wang, Xi, Yin, Ling. Fractal dimension of job-housing flows: A comparison between Beijing and Shenzhen. CITIES[J]. 2021, 112: http://dx.doi.org/10.1016/j.cities.2021.103120.
[9] 吕鸿鑫, 周如意, 尹凌, 梅树江. 深圳市基层应急人员应急知识水平影响因素. 华南预防医学. 2021, 47(1): 97-100, http://lib.cqvip.com/Qikan/Article/Detail?id=7104042835.
[10] 张浩, 尹凌, 刘康, 毛亮, 冯圣中, 陈洁, 梅树江. 深圳市快速抑制COVID-19疫情的非药物干预措施效果评估：基于智能体的建模研究. 地球信息科学学报[J]. 2021, 23(11): 1936-1945, http://lib.cqvip.com/Qikan/Article/Detail?id=7106547994.
[11] Liu, Kang, Yin, Ling, Lu, Feng, Mou, Naixia. Visualizing and exploring POI configurations of urban regions on POI-type semantic space. CITIES[J]. 2020, 99: http://dx.doi.org/10.1016/j.cities.2020.102610.
[12] Zhao, ZeYu, Zhu, YuanZhao, Xu, JingWen, Hu, ShiXiong, Hu, QingQing, Lei, Zhao, Rui, Jia, Liu, XingChun, Wang, Yao, Yang, Meng, Luo, Li, Yu, ShanShan, Li, Jia, Liu, RuoYun, Xie, Fang, Su, YingYing, Chiang, YiChen, Zhao, BenHua, Cui, JingAn, Yin, Ling, Su, YanHua, Zhao, QingLong, Gao, LiDong, Chen, TianMu. A five-compartment model of age-specific transmissibility of SARS-CoV-2. INFECTIOUS DISEASES OF POVERTY[J]. 2020, 9(1): http://lib.cqvip.com/Qikan/Article/Detail?id=7103816973.
[13] Zhou, Zhifeng, Mei, Shujiang, Chen, Jian, Li, Xueyun, Yin, Ling, Liang, Jing, Jiang, Lixin, Xu, Yucheng, Zhao, Menglan. Nonlinear effect of wind velocity on mumps in Shenzhen, China, 2013-2016. PUBLIC HEALTH[J]. 2020, 179: 178-185, http://dx.doi.org/10.1016/j.puhe.2019.10.023.
[14] Wang, Yi, Zhang, Weilin, Zhang, Fan, Yin, Ling, Zhang, Jun, Tian, Chen, Jiang, Wei, IEEE. Analysis of subway passenger flow based on smart card data. 2020 6TH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS (BIGCOM 2020)null. 2020, 198-202, http://dx.doi.org/10.1109/BigCom51056.2020.00034.
[15] Yin, Ling, Chen, Jie, Zhang, Hao, Yang, Zhile, Wan, Qiao, Ning, Li, Hu, Jinxing, Yu, Qi. Improving emergency evacuation planning with mobile phone location data. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE[J]. 2020, 47(6): 964-980, [16] Yin, Ling, Lin, Nan, Song, Xiaoqing, Mei, Shujiang, Shaw, ShihLung, Fang, Zhixiang, Li, Qinglan, Li, Ye, Mao, Liang. Space-time personalized short message service (SMS) for infectious disease control - Policies for precise public health. APPLIED GEOGRAPHY[J]. 2020, 114: http://dx.doi.org/10.1016/j.apgeog.2019.102103.
[17] Xu, Yang, Li, Xinyu, Shaw, ShihLung, Lu, Feng, Yin, Ling, Chen, Bi Yu. Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data. ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS[J]. 2020, 111(2): 515-539, https://www.webofscience.com/wos/woscc/full-record/WOS:000553352100001.
[18] 尹凌. Enhancing fine-grained intra-urban dengue forecasting by integrating spatial interacions of human movements between urban regions. PLOS Neglected Tropical Diseases. 2020, [19] Tianmu Chen, Jia Rui, Qiupeng Wang, Zeyu Zhao, Jingan Cui, Ling Yin. A mathematical model for simulating the transmission of Wuhan novel Coronavirus. bioRxivnull. 2020, https://doi.org/10.1101/2020.01.19.911669.
[20] He Bing, Kong Bo, Yin Ling, Wu Qin, Hu Jinxing, Huang Dian, Ma Zhanwu. Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China. JOURNAL OF ADVANCED TRANSPORTATION[J]. 2020, 2020: https://doaj.org/article/753165d3e6c14a4db9b28a1c9a945aee.
[21] Chen, TianMu, Rui, Jia, Wang, QiuPeng, Zhao, ZeYu, Cui, JingAn, Yin, Ling. A mathematical model for simulating the phase-based transmissibility of a novel coronavirus. INFECTIOUS DISEASES OF POVERTY[J]. 2020, 9(1): http://lib.cqvip.com/Qikan/Article/Detail?id=7103820816.
[22] 吕鸿鑫, 尹凌, 梅树江. 深圳市基层疾控机构突发公共卫生事件应急能力现况调查. 医学动物防制. 2020, 36(4): 356-359, http://lib.cqvip.com/Qikan/Article/Detail?id=7101674454.
[23] Liu, Kang, Qiu, Peiyuan, Gao, Song, Lu, Feng, Jiang, Jincheng, Yin, Ling. Investigating urban metro stations as cognitive places in cities using points of interest. CITIES[J]. 2020, 97: http://dx.doi.org/10.1016/j.cities.2019.102561.
[24] Liu, Kang, Yin, Ling, Ma, Zhanwu, Zhang, Fan, Zhao, Juanjuan. Investigating physical encounters of individuals in urban metro systems with large-scale smart card data. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2020, 545: http://dx.doi.org/10.1016/j.physa.2019.123398.
[25] Yang, Xiping, Fang, Zhixiang, Xu, Yang, Yin, Ling, Li, Junyi, Lu, Shiwei. Spatial heterogeneity in spatial interaction of human movements-Insights from large-scale mobile positioning data. JOURNAL OF TRANSPORT GEOGRAPHY[J]. 2019, 78: 29-40, http://dx.doi.org/10.1016/j.jtrangeo.2019.05.010.
[26] 张帆, 刘康, 尹凌. Investigating Evolutions of Metro Station Functions in Shenzhen with Long-term Smart Card Data. In the proceedings of Geoinformatics in Sustainable Ecosystem and Society & Geospatial Artificial Intelligence for Urban Computing[J]. 2019, [27] Zhou, Jiangping, Yang, Yuling, Gu, Peiqin, Yin, Ling, Zhang, Fan, Zhang, Fang, Li, Dong. Can TODness improve (expected) performances of TODs? An exploration facilitated by non-traditional data. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT[J]. 2019, 74: 28-47, http://dx.doi.org/10.1016/j.trd.2019.07.008.
[28] 尹凌. Simulating human host interventions to control intra-urban dengue outbreaks with a spatially individual-based model. IEEE International Conference on Real-time Computing and Robotics. 2019, [29] Jiangping Zhou, Yuling Yang, Peiqin Gu, Ling Yin, Fan Zhang, Fang Zhang, Dong Li. Can TODness improve (expected) performances of TODs? An exploration facilitated by non-traditional data. Transportation Research Part D. 2019, 74: 28-47, http://dx.doi.org/10.1016/j.trd.2019.07.008.
[30] Yang, Xiping, Fang, Zhixiang, Yin, Ling, Li, Junyi, Lu, Shiwei, Zhao, Zhiyuan. Revealing the relationship of human convergence-divergence patterns and land use: A case study on Shenzhen City, China. CITIES[J]. 2019, 95: 102384-, http://dx.doi.org/10.1016/j.cities.2019.06.015.
[31] Zhao, Zhiyuan, Shaw, ShihLung, Yin, Ling, Fang, Zhixiang, Yang, Xiping, Zhang, Fan, Wu, Sheng. The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2019, 33(7): 1471-1495, [32] 尹凌. Improing emergency evacuation planning with mobile phone location data. Environment and Planning B: Urban Analytics and City Science. 2019, [33] Zhao, Zhiyuan, Yin, Ling, Shaw, ShihLung, Fang, Zhixiang, Yang, Xiping, Zhang, Fan. Identifying stops from mobile phone location data by introducing uncertain segments. TRANSACTIONS IN GIS[J]. 2018, 22(4): 958-974, http://ir.siat.ac.cn:8080/handle/172644/13910.
[34] Jialu Xie, Ling Yin, Liang Mao. A Modeling Framework for Individual-based Urban Mobility Based on Data Fusion. 2018 26TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2018)null. 2018, [35] Yang, Xiping, Fang, Zhixiang, Yin, Ling, Li, Junyi, Zhou, Yang, Lu, Shiwei. Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China. SUSTAINABILITY[J]. 2018, 10(5): http://ir.siat.ac.cn:8080/handle/172644/13903.
[36] 杨喜平, 方志祥, 尹凌. 城市空间结构要素与人群聚散稳定性的关联性探索. 地球信息科学学报[J]. 2018, 20(6): 791-798, http://lib.cqvip.com/Qikan/Article/Detail?id=675425945.
[37] Xi Guikai, Yin Ling, Li Ye, Mei Shujiang, Hu Y, Gao S, Newsam S, Lunga D. A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale. PROCEEDINGS OF THE 2ND ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON AI FOR GEOGRAPHIC KNOWLEDGE DISCOVERY (GEOAI 2018)null. 2018, 19-28, http://dx.doi.org/10.1145/3281548.3281558.
[38] 赵志远, 尹凌, 胡金星, 冯圣中, 黄思林. 面向机动车出行OD监测的目标路段选择算法. 地球信息科学学报[J]. 2018, 20(5): 656-664, http://lib.cqvip.com/Qikan/Article/Detail?id=675310155.
[39] 尹凌. Identify stops in mobile phone location data with uncertainty analysis. Transactions in GIS. 2018, [40] 朱菁玮, 方志祥, 杨喜平, 尹凌. 城市邻近基站间人群流动时空变化同步性分析. 地球信息科学学报[J]. 2018, 20(6): 844-853, http://lib.cqvip.com/Qikan/Article/Detail?id=675425951.
[41] 赵志远, 尹凌, 方志祥, 萧世伦, 杨喜平. 轨迹数据的时间采样间隔对停留识别和出行网络构建的影响. 武汉大学学报：信息科学版[J]. 2018, 43(8): 1152-1158, http://lib.cqvip.com/Qikan/Article/Detail?id=675883445.
[42] 林楠, 尹凌, 赵志远. 基于滑动窗口的手机定位数据个体停留区域识别算法. 地球信息科学学报[J]. 2018, 20(6): 762-771, http://lib.cqvip.com/Qikan/Article/Detail?id=675425942.
[43] 尹凌, 汪伟. 基于频繁活动点集的手机位置数据隐私保护方法. 计算机应用研究. 2017, 34(3): 867-870, http://lib.cqvip.com/Qikan/Article/Detail?id=671269910.
[44] Shiwei Lu, ShihLung Shaw, Zhixiang Fang, Xirui Zhang, Ling Yin. Exploring the Effects of Sampling Locations for Calibrating the Huff Model Using Mobile Phone Location Data. SUSTAINABILITY[J]. 2017, 9(1): https://doaj.org/article/5d6b0824969b4d89b889b4c91cb7d72a.
[45] 尹凌. 基于手机通话位置数据估计24小时人口分布的偏差分析. 地球信息科学. 2017, [46] 杨喜平, 方志祥, 赵志远, 萧世伦, 尹凌. 顾及手机基站分布的核密度估计城市人群时空停留分布. 武汉大学学报. 信息科学版[J]. 2017, 42(1): 49-55, [47] Fang, Zhixiang, Yang, Xiping, Xu, Yang, Shaw, ShihLung, Yin, Ling. Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2017, 31(11): 2119-2141, https://www.webofscience.com/wos/woscc/full-record/WOS:000408205100001.
[48] Lu, Shiwei, Fang, Zhixiang, Zhang, Xirui, Shaw, ShihLung, Yin, Ling, Zhao, Zhiyuan, Yang, Xiping. Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2017, 6(1): https://doaj.org/article/d19cffceb6e24751be6802977b24fccf.
[49] Xu, Yang, Shaw, ShihLung, Zhao, Ziliang, Yin, Ling, Lu, Feng, Chen, Jie, Fang, Zhixiang, Li, Qingquan. Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data. ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS[J]. 2016, 106(2): 489-502, http://ir.igsnrr.ac.cn/handle/311030/43334.
[50] Li, Xiaoming, Lv, Zhihan, Wang, Weixi, Zhang, Baoyun, Hu, Jinxing, Yin, Ling, Feng, Shengzhong. WebVRGIS based traffic analysis and visualization system. ADVANCES IN ENGINEERING SOFTWARE[J]. 2016, 93: 1-8, http://dx.doi.org/10.1016/j.advengsoft.2015.11.003.
[51] Chandio, Aftab Ahmed, Tziritas, Nikos, Zhang, Fan, Yin, Ling, Xu, ChengZhong. Towards adaptable and tunable cloud-based map-matching strategy for GPS trajectories. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING[J]. 2016, 17(12): 1305-1319, [52] 鲁仕维, 方志祥, 萧世伦, 张希瑞, 尹凌. 城市群体移动模式研究中空间尺度影响的定量分析. 武汉大学学报. 信息科学版[J]. 2016, 41(9): 1199-1204, [53] Mao, Liang, Yin, Ling, Song, Xiaoqing, Mei, Shujiang. Mapping intra-urban transmission risk of dengue fever with big hourly cellphone data. ACTA TROPICA[J]. 2016, 162: 188-195, http://dx.doi.org/10.1016/j.actatropica.2016.06.029.
[54] 杨喜平, 方志祥, 赵志远, 萧世伦, 尹凌. 城市人群聚集消散时空模式探索分析——以深圳市为例. 地球信息科学学报[J]. 2016, 18(4): 486-492, http://lib.cqvip.com/Qikan/Article/Detail?id=668558093.
[55] Yang, Xiping, Fang, Zhixiang, Xu, Yang, Shaw, ShihLung, Zhao, Zhiyuan, Yin, Ling, Zhang, Tao, Lin, Yunong. Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2016, 5(10): https://doaj.org/article/59aefc926acb40f79393fcdbc1c1d031.
[56] 刘立寒, 方志祥, 萧世伦, 尹凌. 带源节点的快速社区发现算法. 计算机工程与应用[J]. 2016, 52(23): 75-80, http://lib.cqvip.com/Qikan/Article/Detail?id=670748488.
[57] Xu, Yang, Shaw, ShihLung, Fang, Zhixiang, Yin, Ling. Estimating Potential Demand of Bicycle Trips from Mobile Phone Data-An Anchor-Point Based Approach. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2016, 5(8): https://www.webofscience.com/wos/woscc/full-record/WOS:000385531500005.
[58] Zhao, Ziliang, Shaw, ShihLung, Xu, Yang, Lu, Feng, Chen, Jie, Yin, Ling. Understanding the bias of call detail records in human mobility research. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2016, 30(9): 1738-1762, http://dx.doi.org/10.1080/13658816.2015.1137298.
[59] He, Yaobin, Zhang, Fan, Li, Ye, Huang, Jun, Yin, Ling, Xu, Chengzhong. Multiple Routes Recommendation System on Massive Taxi Trajectories. TSINGHUA SCIENCE AND TECHNOLOGY[J]. 2016, 21(5): 510-520, https://www.webofscience.com/wos/woscc/full-record/WOS:000393309500005.
[60] 尹凌, 胡金星, 王倩, 汪伟, 蔡芷铃. 大规模手机位置数据研究中的个体重识别风险及其与数据可用性的关系. 集成技术[J]. 2016, 19-28, http://lib.cqvip.com/Qikan/Article/Detail?id=668471020.
[61] 尹凌. 一种基于IC卡综合换乘信息的公交乘客上车站点推算方法. 地球信息科学. 2016, [62] 宋晓晴, 方志祥, 尹凌, 刘立寒, 杨喜平, 萧世伦. 基于IC卡综合换乘信息的公交乘客上车站点推算. 地球信息科学学报[J]. 2016, 18(8): 1060-1068, http://lib.cqvip.com/Qikan/Article/Detail?id=669698667.
[63] 尹凌. 大规模手机位置数据发布的隐私保护方法——基于频繁活动点集匹配的策略. 计算机应用研究. 2016, [64] 徐金垒, 方志祥, 萧世伦, 尹凌. 城市海量手机用户停留时空分异分析——以深圳市为例. 地球信息科学学报[J]. 2015, 17(2): 197-205, [65] Yin, Ling, Shaw, ShihLung. Exploring space-time paths in physical and social closeness spaces: a space-time GIS approach. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2015, 29(5): 742-761, https://www.webofscience.com/wos/woscc/full-record/WOS:000355680500003.
[66] Yin, Ling, Wang, Qian, Shaw, ShihLung, Fang, Zhixiang, Hu, Jinxing, Tao, Ye, Wang, Wei. Re-Identification Risk versus Data Utility for Aggregated Mobility Research Using Mobile Phone Location Data. PLOS ONE[J]. 2015, 10(10): https://www.webofscience.com/wos/woscc/full-record/WOS:000363184600081.
[67] 胡金星. Accelerating agent-based emergency evacuation planning using a knowledge database based on population distribution regularity. Proceedings of the 2015 GeoComputation. 2015, [68] 尹凌. Understanding aggregated human mobility patterns using passive mobile phone location data——A home based approach. Transportation. 2015, [69] Ling Yin, Qian Wang, ShihLung Shaw, Zhixiang Fang, Jinxing Hu, Ye Tao, Wei Wang. Re-Identification Risk versus Data Utility for Aggregated Mobility Research Using Mobile Phone Location Data. PLOS ONE[J]. 2015, 10(10): http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201903250006481LS.
[70] 许宁, 尹凌, 胡金星. 从大规模短期规则采样的手机定位数据中识别居民职住地. 武汉大学学报. 信息科学版[J]. 2014, 39(6): 750-756, [71] Zhang, Kang, Yang, Chunlei, Yin, Ling, Liu, Zhuang, Song, Qiuming, Luo, Hailin, Xiong, Zhiyu, Xu, Miaomiao, Xiao, Xudong. Fabricating highly efficient Cu(In,Ga)Se-2 solar cells at low glass-substrate temperature by active gallium grading control. SOLAR ENERGY MATERIALS AND SOLAR CELLS[J]. 2014, 120: 253-258, http://dx.doi.org/10.1016/j.solmat.2013.09.012.
[72] Yin, Ling, Zhang, Kang, Luo, Hailin, Cheng, Guanming, Ma, Xuhang, Xiong, Zhiyu, Xiao, Xudong. Highly efficient graphene-based Cu(In, Ga)Se-2 solar cells with large active area. NANOSCALE[J]. 2014, 6(18): 10879-10886, https://www.webofscience.com/wos/woscc/full-record/WOS:000341020700060.
[73] Yin, Ling, Shaw, ShihLung, Wang, Dali, Carr, Eric A, Berry, Michael W, Gross, Louis J, Comiskey, E Jane. A framework of integrating GIS and parallel computing for spatial control problems - a case study of wildfire control. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2012, 26(4): 621-641, https://www.webofscience.com/wos/woscc/full-record/WOS:000301979200003.
[74] 尹凌. Potential effects of ICT on face-to-face meeting opportunities: A GIS-based time-geographic exploratory approach. Journal of Transport Geography. 2011, [75] 尹凌, 李满春, 陶冶. 乡镇土地利用总体规划对农村居民出行可达性的影响研究. 地理与地理信息科学[J]. 2006, 22(1): 62-66, http://lib.cqvip.com/Qikan/Article/Detail?id=21008677.
[76] 尹凌, 李满春, 陶冶. 基于最短路径距离的宗地地价点状因素自动化评价. 计算机应用研究[J]. 2006, 23(9): 143-145,178, http://lib.cqvip.com/Qikan/Article/Detail?id=22636312.
[77] []. Relationships between geographical cluster and cyberspace community: a case study on microblog. http://ir.siat.ac.cn:8080/handle/172644/4236.
[78] []. A Spatial-Temporal Analysis of Users’ Geographical Patterns in Social Media: a Case Study on Microblogs. http://ir.siat.ac.cn:8080/handle/172644/6031.
[79] []. Detecting Illegal Pickups of Intercity Buses from Their GPS Traces. http://ir.siat.ac.cn:8080/handle/172644/6065.
[80] []. Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data. http://ir.siat.ac.cn:8080/handle/172644/10201.
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（ 1 ） 基于频繁活动点集的手机通话位置数据隐私保护方法, 负责人, 国家任务, 2014-01--2016-12
（ 2 ） 大规模移动轨迹中的敏感活动特征隐私保护方法, 负责人, 地方任务, 2013-08--2015-08
（ 3 ） 长途客运车辆GPS监控分析, 负责人, 企业委托, 2013-09--2013-12
（ 4 ） 基于移动互联网的城市应急疏散仿真模型, 参与, 企业委托, 2012-01--2014-06
（ 5 ） 交通枢纽实时动态信息发布时间网支撑技术研究, 参与, 企业委托, 2011-06--2012-06
（ 6 ） 福田区织网工程智慧福田大数据库系统软件定制开发, 参与, 地方任务, 2014-02--2015-02
（ 7 ） 基于大数据分析的城市电网状态评估系统开发, 参与, 国家任务, 2015-01--2017-12
（ 8 ） 从大规模手机定位数据中挖掘出行链特征的关键技术研究, 负责人, 地方任务, 2015-01--2017-12
（ 9 ） 基于海量手机定位数据的居民职住地识别方法, 负责人, 研究所自选, 2015-01--2016-09
（ 10 ） 基于个体建模和手机定位数据的登革热传播模型和防控策略研究, 负责人, 地方任务, 2015-01--2017-05
（ 11 ） 从大规模手机定位数据中挖掘居民出行特征的关键技术研究, 负责人, 地方任务, 2015-01--2016-12
（ 12 ） 城市车辆视频智能追踪应用示范, 参与, 地方任务, 2017-01--2018-12
（ 13 ） 基于大规模移动感知数据的传染病计算模型研究, 负责人, 地方任务, 2017-05--2019-05
（ 14 ） 多源轨迹数据支持下基于个体的城市尺度传染病扩散模拟研究, 负责人, 国家任务, 2018-01--2021-12
（ 15 ） 国家地方联合实验室“健康大数据智能分析技术工程中心”, 参与, 国家任务, 2018-01--2020-12
（ 16 ） 多源数据融合的呼吸道传染病传播风险精细化评估与预测系统, 负责人, 国家任务, 2020-06--2021-06
（ 17 ） 新型冠状病毒2019-nCoV溯源与流行病学研究, 负责人, 地方任务, 2020-01--2021-12
（ 18 ） 城市内部新型冠状病毒肺炎、 流感扩散模拟模型, 负责人, 企业委托, 2020-04--2021-04
（ 19 ） 新疆自治区项目之突发性重大公共卫生事件防控关键技术研究, 参与, 地方任务, 2020-07--2023-06
（ 20 ） 基于个体随机模型的新冠肺炎爆发疫情防控措施效果评价, 负责人, 其他任务, 2020-07--2021-06
（ 21 ） 基于数字孪生的重要公共场所生物恐怖防控体系集成与应用, 参与, 国家任务, 2021-11--2024-10
（ 22 ） 突发呼吸道传染病精准防控技术研究, 参与, 地方任务, 2021-01--2023-12

（1）Simulating intra-urban intervention strategies for Dengue fever with large-scale mobile phone location data   International Symposium on Watershed Geographic Sciences   Ling Yin, Xiaoqing Song, Nan Lin   2016-10-11
（2）Human Activities in Physical and Virtual Spaces: A GIS-based Time-geographic Approach   The 2nd International Time-Geography Conference   Ling Yin   2016-09-21
（3）Re-Identification Risk versus Data Utility for Aggregated Mobility Research Using Mobile Phone Location Data   The Annual Meeting of American Association of Geographers   Ling Yin, Shih-Lung Shaw, Zhixiang Fang, Jinxing Hu   2016-04-01
（4）Accelerating agent-based emergency evacuation planning using a knowledge database based on population distribution regularity   2015 GeoComputation   Ling Yin, Jinxing Hu, Qi Yu   2015-05-21
（5）Privacy risk versus privacy preservation for research using individual mobile phone tracking data   The Annual Meeting of American Association of Geographers   Ling Yin, Shih-Lung Shaw, Jinxing Hu, Qian Wang, Ning Xu   2014-04-10
（6）基于手机位置数据的城市居民职住分布研究   2013年空间信息智能感知与服务研讨会   许宁, 尹凌, 胡金星   2013-08-09
（7）A space-time GIS of integrating physical, virtual, and social activities   The 20th Geoinformatics   Ling Yin, Shih-Lung Shaw   2012-06-15
（8）Exploring dynamic relationships between physical proximity and virtual interactions   Annual Meeting of the Association of American Geographers   Ling Yin, Shih-Lung Shaw   2012-02-24
（9）A space-time GIS for dynamics in potential face-to-face meeting opportunities   13th ACM International Conference on Ubiquitous Computing   Ling Yin, Shih-Lung Shaw   2011-09-17
（10）A GIS-based Time-geographic Framework for Human Interactions in Virtual Space   Annual Meeting of the Association of American Geographers   Ling Yin, Shih-Lung Shaw   2011-04-12
（11）Potential Effects of ICT on Face-to-face Meeting Opportunities: A GIS-based Time-geographic Exploratory Approach   Annual Meeting of the Association of American Geographers   Ling Yin, Shih-Lung Shaw, Hongbo Yu   2010-04-14
（12）Potential Effects of ICT on Face-to-face Meeting Opportunities: A GIS-based Time-geographic Exploratory Approach   International Workshop on GIS for Transportation   Ling Yin, Shih-Lung Shaw   2009-12-04
（13）Geocoding and Spatial Search of NamUs Databases   Crime Mapping Research Conference   Bruce Ralston, Nicholas Herrmann, Ling Yin   2009-08-19
（14）A Case Study of Individual Activities and Interactions in a Hybrid Physical-Virtual Space based on Time Geography Framework   Annual Meeting of the Association of American Geographers   Ling Yin, Shih-Lung Shaw   2009-03-22
（15）A Time-Geographic Approach for Activity Planning and Scheduling with Virtual Activities   Annual Meeting of the Association of American Geographers   Ling Yin, Shih-Lung Shaw, Hongbo Yu   2008-04-15
（16）A GIS based Cellular Automata Model of Fire Spread Simulations with Genetic Algorithm and Parallel Computing   Annual Meeting of the Association of American Geographers   Ling Yin, Shih-Lung Shaw, Dali Wang, Louis Gross, and Michael Berry   2007-04-17

   

美国田纳西大学

美国佛罗里达大学

香港城市大学

武汉大学交通研究中心

深圳大学时空信息智能感知服务重点实验室

深圳市交通运输委员会

深圳市规划国土委发展中心

深圳市疾病预防控制中心

深圳市南山区慢性病防治院

   

於琦，硕士生，2014年毕业，毕业论文《基于人口动态分布和移动信息诱导的应急疏散预案仿真研究》（优秀毕业论文）。

许宁，硕士生，2014年毕业，毕业论文《基于手机定位数据的居民职住地分布特征研究---以深圳市为例》（优秀毕业论文）。

王倩，硕士生，2015年毕业，毕业论文《大规模轨迹数据隐私保护系统的设计与实现》。

汪伟，硕士生，2016年毕业，毕业论文《手机通话位置数据中敏感活动特征的隐私保护方法》。 

宋晓晴，硕士生，2017年毕业，毕业论文《基于大规模手机定位数据的城市内部登革热风险评估和防控模拟研究》。

陈飞，硕士生，2017年毕业，毕业论文《基于手机定位数据的高空间分辨率居民职住地分布推断方法研究-以深圳市为例》。 

林楠，硕士生，在读，研究方向为基于手机位置数据的活动特征挖掘与模拟。

杜小晶，硕士生，在读，研究方向为基于移动大数据的传染病传播过程模拟。

马占武，硕士生，在读，研究方向为时空数据挖掘。

谢家璐，硕士生，在读，研究方向为基于移动大数据的时空过程建模。

万巧，硕士生，在读，研究方向为复杂网络分析。