<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction</dc:title><dc:creator>Yao, Huaxiu; Wu, Fei; Ke, Jintao; Tang, Xianfeng; Jia, Yitian; Lu, Siyu; Gong, Pinghua; Ye, Jieping; Li, Zhenhui</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2018-01-01</dc:date><dc:nsf_par_id>10057893</dc:nsf_par_id><dc:journal_name>2018 AAAI Conference on Artificial Intelligence (AAAI'18)</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation/><dc:issn/><dc:isbn/><dc:doi>https://doi.org/</dc:doi><dcq:identifierAwardId>1652525; 1618448; 1639150; 1544455</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>