{"id":84,"date":"2017-08-14T04:32:36","date_gmt":"2017-08-14T04:32:36","guid":{"rendered":"http:\/\/216.24.255.190\/teamsite\/?page_id=84"},"modified":"2020-08-18T13:17:28","modified_gmt":"2020-08-18T13:17:28","slug":"liuxiliang","status":"publish","type":"page","link":"http:\/\/pervasivegis.group\/teamsite\/members\/liuxiliang\/","title":{"rendered":"\u5218\u5e0c\u4eae"},"content":{"rendered":"<p><a><img loading=\"lazy\" class=\"size-full wp-image-56 aligncenter\" src=\"http:\/\/pervasivegis.group\/teamsite\/wp-content\/uploads\/2020\/08\/liuxiliang.jpg\" alt=\"\" width=\"165\" height=\"210\"><\/a><\/p>\n<p style=\"font-size: 80%; text-align: center;\">\u25a0&nbsp; &nbsp;\u7535\u5b50\u90ae\u7bb1\uff1aliuxl@bjut.edu.cn; liuxl@lreis.ac.cn<\/p>\n<p style=\"text-indent: 2em;\">\u5218\u5e0c\u4eae\uff0c\u7537\uff0c1983\u5e74\u751f\uff0c\u6cb3\u5317\u8861\u6c34\u4eba\uff0c\u535a\u58eb\uff0c\u5317\u4eac\u5de5\u4e1a\u5927\u5b66\u5317\u4eac\u667a\u6167\u57ce\u5e02\u7814\u7a76\u9662\u8bb2\u5e08\u3002<\/p>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u7814\u7a76\u5174\u8da3<\/h3>\n<ul>\n<li>GIS\u3001\u65f6\u7a7a\u5927\u6570\u636e\u667a\u80fd\u6316\u6398\u3001\u96c6\u6210\u5b66\u4e60\u3001\u7269\u8054\u7f51\u3001\u533a\u5757\u94fe<\/li>\n<\/ul>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u5de5\u4f5c\u7ecf\u5386<\/h3>\n<ul>\n<li>2015\u5e746\u6708-2018\u5e7410\u6708\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5730\u7406\u79d1\u5b66\u4e0e\u8d44\u6e90\u7814\u7a76\u6240\uff0c\u751f\u6001\u5b66 \u535a\u58eb\u540e\uff0c\u5bfc\u5e08\uff1a\u9646\u950b<\/li>\n<li>2009\u5e747\u6708-2011\u5e743\u6708\uff0c\u795e\u534e\u96c6\u56e2\u51c6\u683c\u5c14\u9879\u76ee\u90e8\u9732\u5929\u7206\u7834\u7684\u4e09\u7ef4\u6a21\u62df\u8f6f\u4ef6\u7684\u7814\u5236<\/li>\n<li>2009\u5e744\u6708-2010\u5e7410\u6708\uff0c\u6c11\u653f\u90e8\u9632\u707e\u51cf\u707e\u8bfe\u9898\u7ec4\u96ea\u707e\u4e0e\u53f0\u98ce\u5206\u6790\u5b50\u8bfe\u9898<\/li>\n<li>2007\u5e749\u6708-2008\u5e749\u6708\uff0c\u745e\u58ebUSM\u516c\u53f8<\/li>\n<li>2005\u5e748\u6708-2007\u5e749\u6708\uff0c\u4e0a\u6d77\u5609\u79be\u666f\u89c2\u8bbe\u8ba1\u516c\u53f8<\/li>\n<li>2004\u5e749\u6708-2007\u5e749\u6708\uff0c\u540c\u6d4e\u5927\u5b66\u571f\u6728\u5b66\u9662\u7ae5\u5c0f\u534e\u5609\u5b9a\u8bfe\u9898\u7ec4<\/li>\n<\/ul>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u5b66\u4e60\u7ecf\u5386<\/h3>\n<ul>\n<li>2011\u5e749\u6708-2015\u5e746\u6708\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5730\u7406\u79d1\u5b66\u4e0e\u8d44\u6e90\u7814\u7a76\u6240\uff0c\u5730\u56fe\u5b66\u4e0e\u5730\u7406\u4fe1\u606f\u7cfb\u7edf\uff0c\u535a\u58eb\uff0c\u5bfc\u5e08\uff1a\u9646\u950b<\/li>\n<li>2008\u5e749\u6708-2011\u5e746\u6708\uff0c\u4e2d\u56fd\u77ff\u4e1a\u5927\u5b66\uff08\u5317\u4eac\uff09\u8d44\u6e90\u4e0e\u5b89\u5168\u5b66\u9662\uff0c\u5730\u56fe\u5b66\u4e0e\u5730\u7406\u4fe1\u606f\u7cfb\u7edf\uff0c\u7855\u58eb\uff0c\u5bfc\u5e08\uff1a\u8d75\u5b66\u80dc<\/li>\n<li>2002\u5e749\u6708-2007\u5e746\u6708\uff0c\u540c\u6d4e\u5927\u5b66\u571f\u6728\u5de5\u7a0b\u5b66\u9662\uff0c\u56fd\u571f\u8d44\u6e90\u4e0e\u6d4b\u7ed8\uff0c\u5b66\u58eb\uff0c\u5bfc\u5e08\uff1a\u7ae5\u5c0f\u534e<\/li>\n<\/ul>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u53d1\u8868\u8bba\u8457<\/h3>\n<ol>\n<li>Xiliang Liu, Feng Lu, Hengcai Zhang, Peiyuan Qiu. 2013. Intersection delay estimation from floating car data via principal curves: a case study on Beijing's road network. Frontiers of earth science 7, 2: 206-216. (SCI)<\/li>\n<li>Xiliang Liu, Kang Liu, Mingxiao Li, Feng Lu*. 2017. A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 18, 5:1241-1254. (SCI)<\/li>\n<li>Xiliang Liu, Feng Lu, Hengcai Zhang, Peiyuan Qiu. 2012. Estimating Beijing's travel delays at intersections with floating car data. In ACM SIGSPATIAL IWCTS\u201912, Redondo Beach, CA, USA. (EI)<\/li>\n<li>Xiliang Liu, Feng Lu, Hengcai Zhang. 2013. Estimating Beijing\u2019s Intersection Delays from Floating Car Data: A Boosting Approach. In Twelfth International Conference on GeoComputation, Wuhan, China. (EI)<\/li>\n<li>Xiliang Liu, Feng Lu, Hengcai Zhang. 2014. Intersection Delay Estimation from Floating Car Data via Stacked Generalization: A Case Study on Beijing\u2019s Road Networks. In Research@Locate, Canberra, Australia, 7-9 April. (EI)<\/li>\n<li>Xiliang Liu, Li Yu,Peng Peng, Feng Lu*. 2016. A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis. In Morishima A. et al. (eds) Web Technologies and Applications (APWeb 2016), Lecture Notes in Computer Science, 9865. Springer, Cham (Best Paper Award). (EI)<\/li>\n<li>Xiliang Liu, Feng Lu, Kang Liu, et al. 2016. A Principal Curve-based method for Geospatial Data Smoothing. The 9th International Conference on Geographic Information Science (GIScience 2016), 352\u2013355.<\/li>\n<li>Xiliang Liu, Feng Lu*. 2015. ST-CRF: A Novel Map Matching Approach for Low-frequency Floating Car Data. IWGS 2015. (EI)<\/li>\n<li>Xiliang Liu, Li Yu, Kang Liu, Peng Peng, Shifen Cheng, Mengdi Liao, Feng Lu. 2017. ST-PF: Spatio-Temporal Particle Filter for Floating Car Data Pre-processing. Information Fusion and Intelligent Geographic Information Systems 2017 (IF&amp;IGIS'17), 197-211. (EI)<\/li>\n<li>Xiliang Liu, Kang Liu, Mingxiao Li, Feng Lu, Mengdi Liao, Ren Yang. 2017. SHE: Stepwise Heterogeneous Ensemble Method for Citywide Traffic Analysis. 1st Workshop on Prediction of Human Mobility at ACM SIGSPATIAL. (EI) doi: https:\/\/doi.org\/10.1145\/3152341.3152345<\/li>\n<li>Kang Liu, Peiyuan Qiu, Mingxiao Li, Xiliang Liu*, and Feng Lu. 2016. Exploring urban travel routes\u2019 characteristics from a geometric perspective. In Proceedings of the 24th International Conference on Geoinformatics (Geoinformatics 2016), 1\u20136. (EI) doi: https:\/\/doi.org\/10.1109\/GEOINFORMATICS.2016.7578981<\/li>\n<li>Qingqing Chang, Shaofu Lin, Xiliang Liu*. 2019. Stacked-SVM: A dynamic SVM framework for telephone fraud identification from imbalanced CDRs. 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2019), 20-22, Sanya, China. (EI)<\/li>\n<li>\u5218\u5e0c\u4eae, \u8d75\u5b66\u80dc\uff0c\u9646\u950b\uff0c\u5b59\u6587\u658c. 2012. \u57fa\u4e8eGA_SVM\u7684\u9732\u5929\u77ff\u629b\u63b7\u7206\u7834\u629b\u63b7\u7387\u9884\u6d4b. \u7164\u70ad\u5b66\u62a5 37, 12: 1999-2005. (EI)<\/li>\n<li>\u5218\u5e0c\u4eae\uff0c\u9646\u950b*. 2015. \u9002\u4e8e\u57ce\u5e02\u4ea4\u901a\u65f6\u5e8f\u7a7a\u95f4\u6570\u636e\u9884\u6d4b\u7684\u5c42\u53e0\u6cdb\u5316\u6a21\u578b. \u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5 17, 12: 1474-1482.<\/li>\n<li>\u5218\u5e0c\u4eae, \u7a0b\u8bd7\u594b, \u4f59\u4e3d, \u5218\u5eb7, \u9646\u950b*. 2016. \u67b6\u8d77GIS \u4e0e\u8ba1\u7b97\u673a\u79d1\u5b66\u7684\u6865\u6881\uff1aACM SIGSPATIAL 2015\u4f1a\u8bae\u7efc\u8ff0. \u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5 18, 11: 1448-1455.<\/li>\n<li>Li Yu, Xiliang Liu, Mingxiao Li, Peng Peng, and Feng Lu. 2016. A Holistic Framework of Geographical Semantic Web Aligning. In Proceedings of the 10th Workshop on Geographic Information Retrieval (GIR\u201916) 1:1\u20131:10. doi: https:\/\/doi.org\/10.1145\/3003464.3003465.<\/li>\n<li>Kang Liu, Song Gao, Peiyuan Qiu, Xiliang Liu, Bo Yan, and Feng Lu*. 2017. Road2Vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes. ISPRS International Journal of Geo-Information 6, 11: 321. doi: https:\/\/doi.org\/10.3390\/ijgi6110321<\/li>\n<li>Li Yu, Peiyuan Qiu, Xiliang Liu, Feng Lu*, and Bo Wan. 2017. A holistic approach to aligning geospatial data with multidimensional similarity measuring. International Journal of Digital Earth: 1\u201318. doi: https:\/\/doi.org\/10.1080\/17538947.2017.1359688.<\/li>\n<li>Jinhai Chen*, Feng Lu, Mingxiao Li, Pengfei Huang, Xiliang Liu, and Qiang Mei. 2016. Optimization on Arrangement of Precaution Areas Serving for Ships\u2019 Routeing in the Taiwan Strait Based on Massive AIS Data. In Proceedings of the First International Conference (DMBD 2016), 123\u2013133. doi: https:\/\/doi.org\/10.1007\/978-3-319-40973-3_12.<\/li>\n<li>Li Yu, Feng Lu*, Xueying Zhang, and Xiliang Liu. 2016. Context Enhanced Keyword Extraction for Sparse Geo-Entity Relation from Web Texts. In Proceedings of the 18th Asia Pacific Web Conference, 253\u2013264. doi: https:\/\/doi.org\/10.1007\/978-3-319-45835-9_22.<\/li>\n<li>Peng Peng, Shifen Cheng, Jinhai Chen, Mengdi Liao, Lin Wu, Xiliang Liu, Feng Lu. 2018. A fine-grained perspective on the robustness of global cargo ship transportation networks. J. Geogr. Sci 28, 7: 881-899.<\/li>\n<li>Jie Chen, Tao Pei, Shih-Lung Shaw, Feng Lu, Mingxiao Li, Shifen Cheng, Xiliang Liu, Hengcai Zhang. 2018. Fine-grained prediction of urban population using mobile phone location data, International Journal of Geographical Information Science. doi:10.1080\/13658816.2018.1460753<\/li>\n<li>\u5f6d\u6f8e, \u7a0b\u8bd7\u594b, \u5218\u5e0c\u4eae, \u6885\u5f3a, \u9646\u950b. 2017. \u5168\u7403\u6d77\u6d0b\u8fd0\u8f93\u7f51\u7edc\u5065\u58ee\u6027\u8bc4\u4f30. \u5730\u7406\u5b66\u62a5 72, 12: 2241-2251.<\/li>\n<li>\u4f59\u4e3d, \u9646\u950b*, \u5218\u5e0c\u4eae, \u7a0b\u8bd7\u594b, \u5f20\u96ea\u82f1. 2016. \u7a00\u758f\u5730\u7406\u5b9e\u4f53\u5173\u7cfb\u7684\u5173\u952e\u8bcd\u63d0\u53d6\u65b9\u6cd5. \u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5 18, 11: 1465\u20131475.<\/li>\n<li>\u4f59\u4e3d, \u9646\u950b, \u5218\u5e0c\u4eae. 2016. \u5f00\u653e\u5f0f\u5730\u7406\u5b9e\u4f53\u5173\u7cfb\u62bd\u53d6\u7684Bootstrapping\u65b9\u6cd5. \u6d4b\u7ed8\u5b66\u62a5 45, 05: 616\u2013622.<\/li>\n<li>\u725f\u4e43\u590f, \u5ed6\u68a6\u8fea, \u5f20\u6052\u624d, \u5f6d\u6f8e, \u5218\u5e0c\u4eae. 2018. \u201c\u6d77\u4e0a\u4e1d\u7ef8\u4e4b\u8def\u201d\u6cbf\u7ebf\u91cd\u8981\u6e2f\u53e3\u533a\u4f4d\u4f18\u52bf\u5ea6\u8bc4\u4f30.\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5 20, 5:613-622.<\/li>\n<li>\u6768\u5fcd, \u725f\u4e43\u590f, \u5f6d\u6f8e, \u5218\u5e0c\u4eae, \u5f20\u6052\u624d, \u9646\u950b. 2018. \u201c\u6d77\u4e0a\u4e1d\u7ef8\u4e4b\u8def\u201d\u6cbf\u7ebf\u91cd\u8981\u6e2f\u53e3\u7ade\u4e89\u529b\u8bc4\u4ef7.\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5 20, 5: 623-631.<\/li>\n<\/ol>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u79d1\u7814\u9879\u76ee<\/h3>\n<ol>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u57fa\u91d1, \u65f6\u5e8f\u5730\u7406\u7a7a\u95f4\u6570\u636e\u5c42\u53e0\u6cdb\u5316\u5efa\u6a21, 2017.01-2019.12, \u5df2\u7ed3\u9898.<\/li>\n<li>\u4e2d\u56fd\u79d1\u5b66\u9662\u91cd\u70b9\u90e8\u7f72\u9879\u76ee, \u5370\u5ea6\u6d0b\u8fd0\u8f93\u7f51\u7edc\u5065\u58ee\u6027\u8bc4\u4ef7\u4e0e\u6270\u52a8\u56e0\u5b50\u5206\u6790, 2016.01-2018.12, \u5df2\u7ed3\u9898.<\/li>\n<li>\u4e2d\u56fd\u535a\u58eb\u540e\u79d1\u5b66\u57fa\u91d1\u7b2c58\u6279\u9762\u4e0a\u8d44\u52a9, 2015.11-2018.11, \u5df2\u7ed3\u9898.<\/li>\n<li>\u4e2d\u56fd\u535a\u58eb\u540e\u79d1\u5b66\u57fa\u91d1\u7b2c10\u6279\u7279\u522b\u8d44\u52a9, 2017.11-2019.11, \u5df2\u7ed3\u9898.<\/li>\n<li>\u5317\u4eac\u5de5\u4e1a\u5927\u5b66 2019\u5e74\u201c\u7b51\u57fa\u5de5\u7a0b\u201d\u65b0\u5165\u6821\u535a\u58eb\u6559\u5e08\u542f\u52a8\u7ecf\u8d39\u9879\u76ee, \u878d\u5408\u975e\u53c2\u6570\u5206\u6790\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u65f6\u5e8f\u7a7a\u95f4\u6570\u636e\u6316\u6398\uff0c2019.01-2019.12, \u5df2\u7ed3\u9898, \u4e3b\u6301.<\/li>\n<li>\u5317\u4eac\u5e02\u6b8b\u8054, \u5317\u4eac\u5e02\u6b8b\u75be\u4eba\u57fa\u5c42\u670d\u52a1\u673a\u6784\u514d\u8d39\u4e0a\u7f51\u8fd0\u7ef4\u7ecf\u8d39\u653f\u5e9c\u91c7\u8d2d\u9879\u76ee\u6570\u636e\u8d44\u6e90\u4f53\u7cfb\u89c4\u5212\u54a8\u8be2\u670d\u52a1, 2019.01-2019.12, \u5df2\u7ed3\u9898, \u4e3b\u6301.<\/li>\n<li>\u56fd\u5bb6863\u8ba1\u5212\u91cd\u5927\u9879\u76ee\u8bfe\u9898, \u57fa\u4e8e\u4f4d\u7f6e\u6807\u8bc6\u793e\u4f1a\u7f51\u7edc\u6784\u5efa\u4e0e\u5728\u7ebf\u4fe1\u606f\u670d\u52a1\u6280\u672f, 2013.01-2015.12, \u5df2\u7ed3\u9898.<\/li>\n<li>\u56fd\u5bb6\u201c863\u201d\u201c\u4f4d\u7f6e\u4fe1\u606f\u641c\u7d22\u4e0e\u667a\u80fd\u670d\u52a1\u6280\u672f\u201d\u4e2d\u7684\u201c\u5341\u4e8c\u4e94\u201d\u5730\u7403\u89c2\u6d4b\u4e0e\u5bfc\u822a\u9886\u57df\u91cd\u5927\u9879\u76ee\u201c\u5bfc\u822a\u4e0e\u4f4d\u7f6e\u670d\u52a1\u5173\u952e\u6280\u672f\u53ca\u5e94\u7528\u793a\u8303\u201d, \u5df2\u7ed3\u9898, \u6838\u5fc3\u6210\u5458.<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee, \u9762\u5411\u4e2a\u4f53\u884c\u4e3a\u65f6\u7a7a\u8fc7\u7a0b\u7684\u57ce\u5e02\u5c45\u6c11\u6d3b\u52a8\u8868\u8fbe\u4e0e\u5206\u6790\u65b9\u6cd5, 2012.01-2014.12, \u5df2\u7ed3\u9898, \u6838\u5fc3\u6210\u5458.<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\u57fa\u91d1, \u57fa\u4e8e\u8f68\u8ff9\u6570\u636e\u7684\u7a7a\u95f4\u79fb\u52a8\u884c\u4e3a\u9884\u6d4b\u4e0e\u4f4d\u7f6e\u63a8\u8350, \u5728\u7814, \u6838\u5fc3\u6210\u5458.<\/li>\n<li>\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u5b50\u8bfe\u9898, \u5ba4\u5185\u5927\u6570\u636e\u805a\u5408\u4e0e\u5206\u6790\u6280\u672f, 2016.07-2020.12, \u5728\u7814, \u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\u9879\u76ee\u8bfe\u9898, \u5730\u7406\u77e5\u8bc6\u56fe\u641c\u7d22\u5f15\u64ce\u6784\u5efa\u6280\u672f, 2017. 01-2021. 12, \u5728\u7814, \u6838\u5fc3\u6210\u5458.<\/li>\n<li>\u56fd\u5bb6863\u8ba1\u5212\u91cd\u5927\u9879\u76ee\u8bfe\u9898, \u4f4d\u7f6e\u4fe1\u606f\u641c\u7d22\u4e0e\u667a\u80fd\u670d\u52a1\u6280\u672f, 2012.01-2014.12, \u5df2\u7ed3\u9898, \u53c2\u4e0e.<\/li>\n<li>\u5317\u4eac\u5e02\u79d1\u59d4\u201c\u5e02\u533a\u4e24\u7ea7\u91cd\u5927\u7d27\u8feb\u4efb\u52a1\u79d1\u6280\u652f\u6491\u201d, \u7eff\u8272\u667a\u6167\u4e61\u6751\u5173\u952e\u6280\u672f\u4e0e\u96c6\u6210\u5e94\u7528\u7814\u7a76, 2018.01-2020.12, \u5728\u7814, \u5b9e\u9645\u8d1f\u8d23\u4eba.<\/li>\n<li>\u5317\u4eac\u56fd\u5bb6\u901f\u6ed1\u9986\u7ecf\u8425\u6709\u9650\u8d23\u4efb\u516c\u53f8, \u56fd\u5bb6\u901f\u6ed1\u9986\u667a\u80fd\u5316\u670d\u52a1\u5173\u952e\u6280\u672f\u7814\u7a76\u4e0e\u5e94\u7528\u9879\u76ee, 2019.07-2020.12, \u5728\u7814, \u5b9e\u9645\u8d1f\u8d23\u4eba.<\/li>\n<li>\u4e2d\u56fd\u8054\u5408\u7f51\u7edc\u901a\u4fe1\u96c6\u56e2\u6709\u9650\u516c\u53f8, 2018-2020\u5e74\u4e2d\u56fd\u8054\u901a\u603b\u90e8 ECS \u7cfb\u7edf\u53d6\u53f7\u80fd\u529b\u5f00\u653e\u5e73\u53f0\u5e94\u7528\u8f6f\u4ef6\u65e5\u5e38\u8fed\u4ee3\u5de5\u7a0b\u9879\u76ee, 2019.12-2022.03, \u53c2\u4e0e.<\/li>\n<\/ol>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u7533\u8bf7\u4e13\u5229<\/h3>\n<ol>\n<li>\u9646\u950b, \u5218\u5e0c\u4eae, \u5f20\u6052\u624d, \u5b59\u4f1f. \u4e00\u79cd\u5229\u7528\u4f4e\u91c7\u6837\u7387\u6d6e\u52a8\u8f66\u6570\u636e\u8ba1\u7b97\u4fe1\u53f7\u706f\u63a7\u5236\u9053\u8def\u4ea4\u53c9\u53e3\u5ef6\u8bef\u7684\u65b9\u6cd5.<\/li>\n<li>\u9648\u534e\u654f, \u5b8b\u94a2, \u5218\u5e0c\u4eae, \u6797\u7ecd\u798f. \u4e00\u79cd\u5ba4\u5185\u667a\u6167\u7167\u660e\u7684\u6570\u636e\u4f20\u8f93\u63a7\u5236\u65b9\u6cd5\u53ca\u7cfb\u7edf.<\/li>\n<li>\u9646\u950b, \u5218\u5e0c\u4eae, \u5f6d\u6f8e, \u5218\u5eb7, \u674e\u660e\u6653, \u725f\u4e43\u590f. \u4e00\u79cd\u9762\u5411\u7a00\u758f\u6d6e\u52a8\u8f66\u6570\u636e\u6761\u4ef6\u7684\u968f\u673a\u573a\u5730\u56fe\u5339\u914d\u65b9\u6cd5.<\/li>\n<\/ol>\n<hr>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u25a0&nbsp; &nbsp;\u7535\u5b50\u90ae\u7bb1\uff1aliuxl@bjut.edu.cn; liuxl@lreis.ac.cn <a href=\"http:\/\/pervasivegis.group\/teamsite\/members\/liuxiliang\/\" rel=\"nofollow\"><span class=\"sr-only\">Read more about \u5218\u5e0c\u4eae<\/span>[&hellip;]<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":857,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/84"}],"collection":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/comments?post=84"}],"version-history":[{"count":17,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/84\/revisions"}],"predecessor-version":[{"id":1224,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/84\/revisions\/1224"}],"up":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/857"}],"wp:attachment":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/media?parent=84"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}