基本信息
陆锋  男  博导  中国科学院地理科学与资源研究所
电子邮件: luf@lreis.ac.cn
通信地址: 北京市朝阳区大屯路甲11号
邮政编码: 100101

招生信息

   
招生专业
070503-地图学与地理信息系统
招生方向
地理信息系统技术
移动定位技术应用
交通地理信息系统

教育背景

1996-03--1999-07 中国科学院遥感应用研究所 博士
1993-09--1996-01 西南林学院 硕士
1987-09--1991-07 武汉测绘科技大学 学士
学历
-- 研究生
学位
-- 博士

工作经历

   
工作简历
2001-03--今 中国科学院地理科学与资源研究所 副研究员、研究员、博士生导师
1999-09--2001-03 中国科学院地理科学与资源研究所 博士后
1991-07--1993-07 武汉测绘科技大学 助教

专利与奖励

   
奖励信息
(1) 新疆生态安全遥感监测与信息系统,二等奖,国家,2006
专利成果
[1] 程诗奋, 陆锋, 彭澎, 张贝贝. 一种车辆排放清单的构建方法. CN: CN110727904B, 2021-03-02.

[2] 李明晓, 高松, 张恒才, 陆锋, 涂伟. 基于物理空间与社交网络空间交互的人口分布预测方法. CN: CN112418508A, 2021-02-26.

[3] 陆锋, 张恒才, 仇培元, 彭澎, 余丽. 一种网络文本中交通事件语义角色抽取方法. CN: CN107451158B, 2021-01-19.

[4] 陆锋, 余丽, 张恒才, 彭澎, 仇培元, 牟乃夏. 一种互联网文本蕴含地理实体关系的抽取方法. CN: CN107180045B, 2020-10-16.

[5] 张恒才, 李明晓, 陆锋. 一种出行未来轨迹预测方法、装置、储存介质及电子设备. CN: CN110414732B, 2020-09-18.

[6] 张恒才, 陆锋. 一种室内导航网络提取方法. CN: CN111536973A, 2020-08-14.

[7] 张恒才, 陆锋. 一种室内行人语义位置提取方法及预测方法. CN: CN111194005A, 2020-05-22.

[8] 张恒才, 陆锋, 武恩超. 一种室内导航网络结构图构建方法、系统及电子设备. CN: CN111179374A, 2020-05-19.

[9] 陈洁, 裴韬, 陆锋, 李明晓, 程诗奋. 一种基于手机数据的精细尺度城市人群数量预测方法. CN: CN108021980B, 2020-04-17.

[10] 张恒才, 李明晓, 陆锋, 仇培元, 彭澎, 程诗奋. 一种人类出行稀疏轨迹数据插值重构方法. CN: CN110399919A, 2019-11-01.

[11] 陆锋, 程诗奋, 彭澎. 一种轻量级的缺失时空数据的重构方法. CN: CN109902259A, 2019-06-18.

[12] 陆锋, 程诗奋, 彭澎. 一种基于多任务多视图学习模型的短时交通预测方法. CN: CN109598939A, 2019-04-09.

[13] 陆锋, 程诗奋, 彭澎. 一种基于动态STKNN模型的短时交通预测方法. CN: CN109598936A, 2019-04-09.

[14] 陆锋, 刘希亮, 彭澎, 刘康, 李明晓, 牟乃夏. 一种面向稀疏浮动车数据的条件随机场地图匹配方法. 中国: CN107179085A, 2017-09-19.

[15] 陆锋, 余丽, 彭澎, 刘希亮, 程诗奋. 一种蕴含地理实体关系的关键词提取方法及装置. 中国: CN106886515A, 2017-06-23.

[16] 陈洁, 陆锋, 翟瀚. 一种顾及开放时间与个人偏好的活动地点推荐方法. 中国: CN103955843A, 2014-07-30.

[17] 陆锋, 仇培元, 张恒才. 一种从互联网非结构化文本提取道路交通信息方法. 中国: CN103886080A, 2014-06-25.

[18] 陆锋, 刘希亮, 张恒才, 孙伟. 一种利用低采样率浮动车数据计算信号灯控制道路交叉口延误的方法. 中国: CN103680127A, 2014-03-26.

[19] 陆锋, 张恒才. 一种微博客蕴含交通信息融合的D-S证据理论方法. 中国: CN102855272A, 2013-01-02.

[20] 陆锋, 张恒才. 一种基于微博客收集的交通信息融合评价方法. 中国: CN102163225A, 2011-08-24.

[21] 于海璁, 陆锋. 一种基于遗传算法的多模式多标准路径选择方法. 中国: CN101853294A, 2010-10-06.

[22] 陆锋, 于海璁. 公交换乘线路确定方法. 中国: CN101847322A, 2010-09-29.

出版信息

   
发表论文
[1] Lu Feng. Short-term traffic forecasting by mining the non-stationarity of spatiotemporal pattern. IEEE Transactions on Intelligent Transportation Systems. 2021, [2] Li, Mingxiao, Gao, Song, Lu, Feng, Liu, Kang, Zhang, Hengcai, Tu, Wei. Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2021, 35(12): 2489-2516, http://dx.doi.org/10.1080/13658816.2021.1912347.
[3] 陆锋. 全球液化天然气运输网络特征及其演化研究. 地理研究. 2021, [4] Jiaxin Wang, Feng Lu. Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery. Energy. 2021, 234: [5] Lu Feng. Emission characteristics and control policy scenario analysis of volatile organic compounds from heavy-duty diesel trucks. Journal of Environmental Management. 2021, [6] Wang, Shu, Qian, Lang, Zhu, Yunqiang, Song, Jia, Lu, Feng, Zeng, Hongyun, Chen, Pengfei, Yuan, Wen, Li, Weirong, Geng, Wenguang. A web text mining approach for the evaluation of regional characteristics at the town level. TRANSACTIONS IN GIS[J]. 2021, 25(4): 2074-2103, http://dx.doi.org/10.1111/tgis.12763.
[7] Peng, Peng, Lu, Feng, Cheng, Shifen, Yang, Yu. Mapping the global liquefied natural gas trade network: A perspective of maritime transportation. JOURNAL OF CLEANER PRODUCTION[J]. 2021, 283: http://dx.doi.org/10.1016/j.jclepro.2020.124640.
[8] Liang, Maohan, Liu, Ryan Wen, Li, Shichen, Xiao, Zhe, Liu, Xin, Lu, Feng. An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation. OCEAN ENGINEERING[J]. 2021, 225: http://dx.doi.org/10.1016/j.oceaneng.2021.108803.
[9] Lu Feng. Fine-scale prediction of human activity intensity using the interactions in physical and social spaces. International Journal of Geographical Information Science. 2021, [10] 彭澎, 程诗奋, 杨宇, 陆锋. 全球液化天然气运输网络特征及其演化. 地理研究. 2021, 40(2): 373-386, http://lib.cqvip.com/Qikan/Article/Detail?id=7103980986.
[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] Peng, Peng, Cheng, Shifen, Lu, Feng. Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory data. JOURNAL OF CLEANER PRODUCTION[J]. 2020, 252: http://dx.doi.org/10.1016/j.jclepro.2019.119883.
[13] 高嘉良, 仇培元, 余丽, 黄宗财, 陆锋. 基于旅游知识图谱的可解释景点推荐. 中国科学:信息科学[J]. 2020, 50(7): 1055-1068, http://lib.cqvip.com/Qikan/Article/Detail?id=7102555797.
[14] Li, Mingxiao, Lu, Feng, Zhang, Hengcai, Chen, Jie. Predicting future locations of moving objects with deep fuzzy-LSTM networks. TRANSPORTMETRICA A-TRANSPORT SCIENCE[J]. 2020, 16(1): 119-136, https://www.webofscience.com/wos/woscc/full-record/WOS:000508897200008.
[15] Cheng, Shifen, Lu, Feng, Peng, Peng. A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China. JOURNAL OF CLEANER PRODUCTION[J]. 2020, 250: http://dx.doi.org/10.1016/j.jclepro.2019.119445.
[16] 程诗奋, 彭澎, 张恒才, 陆锋. 异质稀疏分布时空数据插值、重构与预测方法探讨. 武汉大学学报(信息科学版)[J]. 2020, 45(12): 1919-1929, http://lib.cqvip.com/Qikan/Article/Detail?id=7103745027.
[17] Cheng, Shifen, Zhang, Beibei, Peng, Peng, Yang, Zhenzhen, Lu, Feng. Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China. JOURNAL OF CLEANER PRODUCTION[J]. 2020, 244: http://dx.doi.org/10.1016/j.jclepro.2019.118654.
[18] Chen, Jie, Pei, Tao, Li, Mingxiao, Song, Ci, Ma, Ting, Lu, Feng, Shaw, ShihLung. An enhanced model for evacuation vulnerability assessment in urban areas. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS[J]. 2020, 84: http://dx.doi.org/10.1016/j.compenvurbsys.2020.101540.
[19] Lu Feng. Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory dat. Journal of Cleaner Production. 2020, [20] 王圣音, 高勇, 陆锋, 刘瑜. 场所模型及大数据支持下的场所感知. 武汉大学学报(信息科学版)[J]. 2020, 45(12): 1930-1941, https://nxgp.cnki.net/kcms/detail?v=3uoqIhG8C46NmWw7YpEsKMypi3qVj28LEUDxQXHYyS3fbyEOrIfBzGzWf9nYyalyIZcNj8jGSv_udwt8hiteTufXwDBXDSK6&uniplatform=NZKPT.
[21] 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.
[22] 陆锋. 一种室内人群时空聚集区域识别方法. 武汉大学学报(信息科学版). 2020, [23] Cheng, Shifen, Peng, Peng, Lu, Feng. A lightweight ensemble spatiotemporal interpolation model for geospatial data. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2020, 34(9): 1849-1872, https://www.webofscience.com/wos/woscc/full-record/WOS:000513756800001.
[24] 张洪岩, 周成虎, 闾国年, 吴志峰, 陆锋, 王劲峰, 岳天祥, 骆剑承, 葛咏, 秦承志. 试论地学信息图谱思想的内涵与传承. 地球信息科学学报[J]. 2020, 22(4): 653-661, http://lib.cqvip.com/Qikan/Article/Detail?id=7102033207.
[25] 彭澎, 程诗奋, 陈闪闪, 陆锋. 全球液化石油气运输网络贸易社区特征及其演化分析. 自然资源学报[J]. 2020, 35(11): 2687-2695, http://lib.cqvip.com/Qikan/Article/Detail?id=7103596941.
[26] 周成虎, 孙九林, 苏奋振, 杨晓梅, 裴韬, 葛咏, 杨雅萍, 张岸, 廖小罕, 陆锋, 高星, 付东杰. 地理信息科学发展与技术应用. 地理学报[J]. 2020, 75(12): 2593-2609, http://lib.cqvip.com/Qikan/Article/Detail?id=7103737280.
[27] 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.
[28] 陈闪闪, 彭澎, 陆锋, 吴升. 海洋主航道对全球集装箱运输网络的影响分析. 地理研究[J]. 2019, 38(9): 2273-2287, http://dx.doi.org/10.11821/dlyj020181375.
[29] Lu Feng. A knowledge-based filtering method for open geo-entity relations. ISPRS International Journal of Geo-Information. 2019, [30] Li, Mingxiao, Gao, Song, Lu, Feng, Zhang, Hengcai. Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS[J]. 2019, 77: 101346-, http://dx.doi.org/10.1016/j.compenvurbsys.2019.101346.
[31] Liu, Kang, Gao, Song, Lu, Feng. Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS[J]. 2019, 74: 50-61, http://ir.siat.ac.cn:8080/handle/172644/13935.
[32] 黄宗财, 仇培元, 陆锋, 吴升. 基于联合主题特征的网络新闻文本蕴含环境污染事件检测. 地球信息科学学报[J]. 2019, 21(10): 1510-1517, http://lib.cqvip.com/Qikan/Article/Detail?id=7100266484.
[33] Cheng, Shifen, Lu, Feng, Peng, Peng, Wu, Sheng. Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting. KNOWLEDGE-BASED SYSTEMS[J]. 2019, 180: 116-132, [34] 陆锋. 基于多源知识库的互联网开放文本地理实体关系过滤方法. 地球信息科学学报. 2019, [35] Zhang, Beibei, Wu, Sheng, Cheng, Shifen, Lu, Feng, Peng, Peng. Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing-Tianjin-Hebei Region, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH[J]. 2019, 16(24): https://www.webofscience.com/wos/woscc/full-record/WOS:000507312700094.
[36] Qiu, Peiyuan, Gao, Jianliang, Yu, Li, Lu, Feng. Knowledge Embedding with Geospatial Distance Restriction for Geographic Knowledge Graph Completion. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2019, 8(6): https://doaj.org/article/05ff9196e73c466c90188d597fa4b732.
[37] Li, Mingxiao, Gao, Song, Lu, Feng, Tong, Huan, Zhang, Hengcai. Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data. International Journal of Environmental Research and Public Health[J]. 2019, 16(22): https://doaj.org/article/acd3e99f819641c896ca343bf10e17bc.
[38] Peng, Peng, Yang, Yu, Cheng, Shifen, Lu, Feng, Yuan, Zimu. Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories. ENERGY[J]. 2019, 168: 966-974, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459952200077.
[39] 傅梦颖, 张恒才, 王培晓, 吴升, 陆锋. 基于移动对象轨迹的室内导航网络构建方法. 地球信息科学学报[J]. 2019, 21(5): 631-640, http://lib.cqvip.com/Qikan/Article/Detail?id=7002281841.
[40] Yu, Li, Qiu, Peiyuan, Gao, Jialiang, Lu, Feng. A Knowledge-Based Filtering Method for Open Relations among Geo-Entities. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2019, 8(2): http://ir.igsnrr.ac.cn/handle/311030/49157.
[41] 陆锋. 海上航道通航受阻对集装箱海运网络的影响分析. 地理研究. 2019, [42] Peng, Peng, Poon, Jessie P H, Yang, Yu, Lu, Feng, Cheng, Shifen. Global oil traffic network and diffusion of influence among ports using real time data. ENERGY[J]. 2019, 172: 333-342, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000464488100026.
[43] Yu, Hongchu, Fang, Zhixiang, Lu, Feng, Murray, Alan T, Zhang, Hengcai, Peng, Peng, Mei, Qiang, Chen, Jinhai. Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes. APPLIED ENERGY[J]. 2019, 237: 390-403, http://ir.igsnrr.ac.cn/handle/311030/49183.
[44] Cheng, Shifen, Lu, Feng, Peng, Peng, Wu, Sheng. A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2018, 7(6): https://doaj.org/article/14af74191ef3495dbd6a78d0a7d61342.
[45] 陆锋. 一种基于Fuzzy-LSTM模型的移动对象轨迹预测算法. 测绘学报. 2018, [46] Lu, Feng, Liu, Kang, Duan, Yingying, Cheng, Shifen, Du, Fei. Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2018, 501: 227-237, http://ir.igsnrr.ac.cn/handle/311030/57372.
[47] Peng Peng, Cheng Shifen, Chen Jinhai, Liao Mengdi, Wu Lin, Liu Xiliang, Lu Feng. A fine-grained perspective on the robustness of global cargo ship transportation networks. JOURNAL OF GEOGRAPHICAL SCIENCES[J]. 2018, 28(7): 881-899, http://lib.cqvip.com/Qikan/Article/Detail?id=675402258.
[48] GE Quansheng, JIANG Dong, LU Feng, FU Jingying, WANG Shaoqiang, DENG Xiangzheng. Spatio-temporal simulation of the geopolitical environment system. 地理学报:英文版. 2018, 28(7): 871-880, http://lib.cqvip.com/Qikan/Article/Detail?id=675402257.
[49] 李明晓, 张恒才, 仇培元, 程诗奋, 陈洁, 陆锋. 一种基于模糊长短期神经网络的移动对象轨迹预测算法. 测绘学报[J]. 2018, 47(12): 1660-1669, http://lib.cqvip.com/Qikan/Article/Detail?id=7000986341.
[50] 余红楚, 方志祥, 陆锋, 彭澎, 赵志远, 冯明翔. 重要经济发展区域间海运网络时空演变特性分析. 地球信息科学学报[J]. 2018, 20(5): 582-592, http://lib.cqvip.com/Qikan/Article/Detail?id=675310147.
[51] Ge Quansheng, Jiang Dong, Lu Feng, Fu Jingying, Wang Shaoqiang, Deng Xiangzheng. Spatio-temporal simulation of the geopolitical environment system. JOURNAL OF GEOGRAPHICAL SCIENCES[J]. 2018, 28(7): 871-880, http://lib.cqvip.com/Qikan/Article/Detail?id=675402257.
[52] Lu Feng. Modelling the heterogeneous traffic correlation for city road networks with community detection. Physica A. 2018, [53] 杨忍, 牟乃夏, 彭澎, 刘希亮, 张恒才, 陆锋. “海上丝绸之路”沿线重要港口竞争力评价. 地球信息科学学报[J]. 2018, 20(5): 623-631, http://lib.cqvip.com/Qikan/Article/Detail?id=675310151.
[54] Chen, Jie, Pei, Tao, Shaw, ShihLung, Lu, Feng, Li, Mingxiao, Cheng, Shifen, Liu, Xiliang, Zhang, Hengcai. Fine-grained prediction of urban population using mobile phone location data. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2018, 32(9): 1770-1786, https://www.webofscience.com/wos/woscc/full-record/WOS:000438123600003.
[55] Peng, Peng, Yang, Yu, Lu, Feng, Cheng, Shifen, Mou, Naixia, Yang, Ren. Modelling the competitiveness of the ports along the Maritime Silk Road with big data. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE[J]. 2018, 118: 852-867, http://ir.igsnrr.ac.cn/handle/311030/51476.
[56] Yu, Li, Qiu, Peiyuan, Liu, Xiliang, Lu, Feng, Wan, Bo. A holistic approach to aligning geospatial data with multidimensional similarity measuring. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2018, 11(8): 845-862, http://ir.igsnrr.ac.cn/handle/311030/54694.
[57] 王姬卜, 陆锋, 吴升, 余丽. 基于自动回标的地理实体关系语料库构建方法. 地球信息科学学报[J]. 2018, 20(7): 871-879, http://lib.cqvip.com/Qikan/Article/Detail?id=675599829.
[58] Lu Feng. Modelling the competitiveness of the ports along the Maritime Silk Road with big geo-related data. Transportation Research Part A. 2018, [59] 陈丽娜, 吴升, 陈洁, 李明晓, 陆锋. 基于手机定位数据的城市人口分布近实时预测. 地球信息科学学报[J]. 2018, 20(4): 523-531, [60] Cheng, Shifen, Lu, Feng, Peng, Peng, Wu, Sheng. Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS[J]. 2018, 71: 186-198, http://ir.igsnrr.ac.cn/handle/311030/52917.
[61] Guorong Cai, Songzhi Su, Chengcai Leng, Yundong Wu, Feng Lu. A Robust Transform Estimator Based on Residual Analysis and Its Application on UAV Aerial Images. REMOTE SENSING[J]. 2018, 10(2): http://ir.igsnrr.ac.cn/handle/311030/57188.
[62] 杨杰, 诸云强, 宋佳, 陆锋, 孙凯, 李威蓉. 地理空间模型自动数据匹配结果精准表达方法. 地球信息科学学报[J]. 2018, 20(6): 744-752, http://lib.cqvip.com/Qikan/Article/Detail?id=675425940.
[63] Liu, Xiliang, Liu, Kang, Li, Mingxiao, Lu, Feng. A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2017, 18(5): 1241-1254, https://www.webofscience.com/wos/woscc/full-record/WOS:000400901400019.
[64] Cheng, Shifen, Lu, Feng. A Two-Step Method for Missing Spatio-Temporal Data Reconstruction. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2017, 6(7): https://doaj.org/article/16ed8f49813047e48df2e450be9f9610.
[65] Lu Feng. ST-PF: Spatio-Temporal Particle Filter for Floating Car Data Pre-processing. Lecture Notes in Geoinformation and Cartography. 2017, [66] 李明晓, 陈洁, 张恒才, 仇培元, 刘康, 陆锋. 上海市精细时空尺度人口分布估计与特征分析. 地球信息科学学报[J]. 2017, 19(6): 800-807, [67] 陆锋. 全球海洋货运网络健壮性评估. 地理学报. 2017, [68] 葛全胜, 江东, 陆锋, 邓祥征, 王绍强. 地缘环境系统模拟研究探讨. 地理学报[J]. 2017, 72(3): 371-381, [69] Zhang, Hengcai, Lu, Feng. GSMNet: A Hierarchical Graph Model for Moving Objects in Networks. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2017, 6(3): https://doaj.org/article/13caa429730840afb1d30eaae3cc4efc.
[70] 刘康, 仇培元, 刘希亮, 张恒才, 王少华, 陆锋. 利用词向量模型分析城市道路交通空间相关性. 测绘学报[J]. 2017, 46(12): 2032-2040, http://lib.cqvip.com/Qikan/Article/Detail?id=674201730.
[71] 陆锋, 余丽, 仇培元. 论地理知识图谱. 地球信息科学学报[J]. 2017, 19(6): 723-734, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2017&filename=DQXX201706002&v=MDU0MzZyV00xRnJDVVI3cWZidWRwRkNyZ1ZyclBJVHpUZHJHNEg5Yk1xWTlGWm9SOGVYMUx1eFlTN0RoMVQzcVQ=.
[72] 仇培元, 张恒才, 余丽, 陆锋. 微博客蕴含交通事件信息抽取的自动标注方法. 中文信息学报[J]. 2017, 31(2): 107-116, http://lib.cqvip.com/Qikan/Article/Detail?id=672249355.
[73] Liu, Kang, Gao, Song, Qiu, Peiyuan, Liu, Xiliang, Yan, Bo, Lu, Feng. Road2Vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2017, 6(11): https://doaj.org/article/d2e65b39a7ac4d1b9913766deb7fbbba.
[74] 彭澎, 程诗奋, 刘希亮, 梅强, 陆锋. 全球海洋运输网络健壮性评估. 地理学报[J]. 2017, 72(12): 2241-2251, http://lib.cqvip.com/Qikan/Article/Detail?id=674256102.
[75] 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.
[76] 余丽, 陆锋, 刘希亮, 程诗奋, 张雪英. 稀疏地理实体关系的关键词提取方法. 地球信息科学学报[J]. 2016, 18(11): 1465-1475, http://lib.cqvip.com/Qikan/Article/Detail?id=670574965.
[77] Zhang, Hengcai, Lu, Feng, Chen, Jie. A Line Graph-Based Continuous Range Query Method for Moving Objects in Networks. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2016, 5(12): https://doaj.org/article/385e878ffcf54288955f68dbe49b89b7.
[78] 陆锋. 开放式地理实体关系自动抽取的Bootstrapping方法. 测绘学报. 2016, [79] Lu Feng. A Holistic Framework of Geographical Semantic Web Aligning. Proceedings of the 10th Workshop on Geographic Information Retrieval. 2016, [80] Zhang, Hengcai, Lu, Feng, Xu, Jianqiu. Modeling and Querying Moving Objects with Social Relationships. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2016, 5(7): http://ir.igsnrr.ac.cn/handle/311030/43923.
[81] Liu Kang, Qiu Peiyuan, Li Mingxiao, Liu Xiliang, Lu Feng, Hu S, Ye X. Exploring Urban Travel Routes' Characteristics from a Geometric Perspective. 2016 24TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS)null. 2016, [82] 陈洁, 萧世伦, 陆锋. 面向人类行为研究的时空GIS. 地球信息科学学报[J]. 2016, 18(12): 1583-1587, http://lib.cqvip.com/Qikan/Article/Detail?id=670834109.
[83] 刘希亮, 程诗奋, 余丽, 刘康, 陆锋. 架起GIS与计算机科学的桥梁:ACM SIGSPATIAL 2015会议综述. 地球信息科学学报[J]. 2016, 18(11): 1448-1455, http://lib.cqvip.com/Qikan/Article/Detail?id=670574963.
[84] 余丽, 陆锋, 刘希亮. 开放式地理实体关系抽取的Bootstrapping方法. 测绘学报[J]. 2016, 616-622, http://lib.cqvip.com/Qikan/Article/Detail?id=669038317.
[85] 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.
[86] Lu Feng. A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis. SDMA 2016. 2016, [87] 仇培元, 陆锋, 张恒才, 余丽. 蕴含地理事件微博客消息的自动识别方法. 地球信息科学学报[J]. 2016, 18(7): 886-893, http://lib.cqvip.com/Qikan/Article/Detail?id=669426176.
[88] Lu Feng. Context enhanced keyword extraction for sparse geo-entity relation from web texts. APWeb/SDMA 2016. 2016, [89] 陈金海, 陆锋, 李明晓. 海上主航迹带边界统计推断与海西航路警戒区布局优化分析. 地球信息科学学报[J]. 2015, 17(10): 1196-1206, [90] 刘希亮, 陆锋. 适于城市交通时序空间数据预测的层叠泛化模型. 地球信息科学学报[J]. 2015, 17(12): 1474-1482, http://lib.cqvip.com/Qikan/Article/Detail?id=666920058.
[91] 陈洁, 陆锋, 翟瀚, 萧世伦. 面向活动地点推荐的个人时空可达性方法. 地理学报[J]. 2015, 70(6): 931-940, [92] Liu Xiliang, Lu Feng, BanaeiKashani F, Zhang C, Hendawi A. ST-CRF: A Novel Map Matching Approach for Low-frequency Floating Car Data. PROCEEDINGS OF THE 6TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON GEOSTREAMING (IWGS) 2015null. 2015, 9-18, http://dx.doi.org/10.1145/2833165.2833169.
[93] 张恒才, 陆锋, 仇培元. 基于D—S证据理论的微博客蕴含交通信息提取方法. 中文信息学报[J]. 2015, 29(2): 170-178, http://lib.cqvip.com/Qikan/Article/Detail?id=664614377.
[94] 陆锋. 网络文本蕴涵地理信息提取:研究进展与展望. 地球信息科学学报. 2015, [95] 陆锋. 基于D-S证据理论的微博蕴含交通信息提取方法. 中文信息学报. 2015, [96] 余丽, 陆锋, 张恒才. 网络文本蕴涵地理信息抽取:研究进展与展望. 地球信息科学学报[J]. 2015, 17(2): 127-134, [97] Lu Feng. A Statistical Inference Approach to Extract Principal Fairways of Ship Passages through a Strait. Ocean Engineering. 2015, [98] Guo Huadong, Ma Jianwen, Xiao Han, Lu Feng, Liang Dong, Bi Haiyun, Wang Fangjian. 2012–2014 China’s Earth Observation and Earth Science Development. 空间科学学报[J]. 2014, 721-732, http://lib.cqvip.com/Qikan/Article/Detail?id=75747566504849524853484956.
[99] Yang, Bisheng, Zhang, Yunfei, Lu, Feng. Geometric-based approach for integrating VGI POIs and road networks. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2014, 28(1): 126-147, http://www.irgrid.ac.cn/handle/1471x/912425.
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科研活动

   
科研项目
(1) 基于国产高分辨率对地观测系统的新疆生态环境监测与维稳平台综合应用示范,参与,国家,2011-01--2012-07
(2) 时空数据挖掘与地表典型参数反演研究,主持,专项,2009-01--2011-07
(3) 自然语言表达城市交通信息的融合与应用技术研究,主持,国家,2009-01--2010-12

指导学生

已指导学生

陈洁  博士研究生  070503-地图学与地理信息系统  

现指导学生

于海璁  博士研究生  070503-地图学与地理信息系统  

周亮  博士研究生  070503-地图学与地理信息系统  

段滢滢  博士研究生  070503-地图学与地理信息系统  

张恒才  博士研究生  070503-地图学与地理信息系统  

陈金海  博士研究生  070503-地图学与地理信息系统