<?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>Reimagining City Configuration: Automated Urban Planning via Adversarial Learning</dc:title><dc:creator>Wang, Dongjie; Fu, Yanjie; Wang, Pengyang; Huang, Bo; Lu, C.T.</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2020-01-01</dc:date><dc:nsf_par_id>10351499</dc:nsf_par_id><dc:journal_name>In Proceedings of the 28th International Conference on Advances in Geographic Information Systems,</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>497-506</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.1145/3397536.3422268</dc:doi><dcq:identifierAwardId>2040950</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>