{"id":"https://openalex.org/W4385562633","doi":"https://doi.org/10.1145/3580305.3599538","title":"Urban Region Representation Learning with OpenStreetMap Building Footprints","display_name":"Urban Region Representation Learning with OpenStreetMap Building Footprints","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385562633","doi":"https://doi.org/10.1145/3580305.3599538"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599538","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599538","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599538","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599538","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100421851","display_name":"Yi Li","orcid":"https://orcid.org/0009-0007-0786-6199"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yi Li","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057631007","display_name":"Weiming Huang","orcid":"https://orcid.org/0000-0002-3208-4208"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weiming Huang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777000","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9492-3807"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401111","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0002-7064-6267"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100421851"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":13.5038,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.98850929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1363","last_page":"1373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721763610839844},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6461355686187744},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5288717746734619},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5284958481788635},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4453943073749542},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.42591720819473267},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4139573574066162},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.41339412331581116},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4102402627468109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39313584566116333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36434346437454224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36036351323127747},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31904536485671997},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.302406370639801},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15626201033592224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721763610839844},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6461355686187744},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5288717746734619},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5284958481788635},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4453943073749542},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.42591720819473267},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4139573574066162},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.41339412331581116},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4102402627468109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39313584566116333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36434346437454224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36036351323127747},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31904536485671997},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.302406370639801},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15626201033592224},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599538","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599538","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599538","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3580305.3599538","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599538","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599538","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1783812013","display_name":null,"funder_award_id":"MOE-T2EP20221-0015","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G3034753964","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G8683756101","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322327","funder_display_name":"Knut och Alice Wallenbergs Stiftelse"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385562633.pdf","grobid_xml":"https://content.openalex.org/works/W4385562633.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1971402834","https://openalex.org/W1972631516","https://openalex.org/W1979728958","https://openalex.org/W2017811823","https://openalex.org/W2032101051","https://openalex.org/W2049763161","https://openalex.org/W2061987443","https://openalex.org/W2112472482","https://openalex.org/W2112738128","https://openalex.org/W2153207204","https://openalex.org/W2194775991","https://openalex.org/W2330485005","https://openalex.org/W2549804631","https://openalex.org/W2602856279","https://openalex.org/W2604230684","https://openalex.org/W2754939259","https://openalex.org/W2768009948","https://openalex.org/W2791514787","https://openalex.org/W2807954821","https://openalex.org/W2903883820","https://openalex.org/W2904703694","https://openalex.org/W2913668833","https://openalex.org/W2915948043","https://openalex.org/W2920964209","https://openalex.org/W2946749442","https://openalex.org/W2952611035","https://openalex.org/W2983674809","https://openalex.org/W2998302682","https://openalex.org/W3028003245","https://openalex.org/W3034277777","https://openalex.org/W3093894742","https://openalex.org/W3095056286","https://openalex.org/W3102489625","https://openalex.org/W3135632371","https://openalex.org/W3159492057","https://openalex.org/W3163513764","https://openalex.org/W3211626409","https://openalex.org/W4220977107","https://openalex.org/W4221005846","https://openalex.org/W4312794196"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W3213069564","https://openalex.org/W4378421684","https://openalex.org/W4294203825","https://openalex.org/W1505616161"],"abstract_inverted_index":{"The":[0],"prosperity":[1],"of":[2,22,62],"crowdsourcing":[3],"geospatial":[4,23],"data":[5,24],"provides":[6],"increasing":[7],"opportunities":[8],"to":[9,65,79,94,118,135,148,166],"understand":[10],"our":[11,155],"cities.":[12],"In":[13,28,51,123],"particular,":[14],"OpenStreetMap":[15],"(OSM)":[16],"has":[17],"become":[18],"a":[19,124,144],"prominent":[20],"vault":[21],"on":[25],"the":[26,110,181],"Web.":[27],"this":[29,52],"context,":[30],"learning":[31],"urban":[32,81,88,121,194],"region":[33,67,168,186],"representations":[34,191],"from":[35],"OSM":[36,56],"data,":[37],"which":[38,100],"is":[39],"unexplored":[40],"in":[41,172],"previous":[42],"work,":[43,53],"could":[44],"be":[45],"profitable":[46],"for":[47,104,192],"various":[48],"downstream":[49],"tasks.":[50],"we":[54,112,126,153],"utilize":[55,140],"buildings":[57,89],"(footprints)":[58],"complemented":[59],"with":[60,143,157],"points":[61,129],"interest":[63],"(POIs)":[64],"learn":[66],"representations,":[68],"as":[69,85],"buildings'":[70],"shapes,":[71],"spatial":[72],"distributions,":[73],"and":[74,139,159,188,197],"properties":[75],"have":[76],"tight":[77],"linkages":[78],"different":[80,185],"functions.":[82],"However,":[83],"appealing":[84],"it":[86,164],"seems,":[87],"often":[90],"exhibit":[91],"complex":[92],"patterns":[93],"form":[95],"dense":[96],"or":[97],"sparse":[98],"areas,":[99],"brings":[101],"significant":[102],"challenges":[103],"unsupervised":[105,116],"feature":[106],"extraction.":[107],"To":[108],"address":[109],"challenges,":[111],"propose":[113],"RegionDCL1,":[114],"an":[115],"framework":[117],"deeply":[119],"mine":[120],"buildings.":[122],"nutshell,":[125],"leverage":[127],"random":[128],"generated":[130],"by":[131],"Poisson":[132],"Disk":[133],"Sampling":[134],"tackle":[136],"data-sparse":[137],"areas":[138],"triplet":[141],"loss":[142],"novel":[145],"adaptive":[146,165],"margin":[147],"preserve":[149],"inter-region":[150],"correlations.":[151],"Furthermore,":[152],"train":[154],"model":[156],"group-level":[158],"region-level":[160],"contrastive":[161],"learning,":[162],"making":[163],"varying":[167],"partitions.":[169],"Extensive":[170],"experiments":[171],"two":[173],"global":[174],"cities":[175],"demonstrate":[176],"that":[177],"RegionDCL":[178],"consistently":[179],"outperforms":[180],"state-of-the-art":[182],"counterparts":[183],"across":[184],"partitions,":[187],"outputs":[189],"effective":[190],"inferring":[193],"land":[195],"use":[196],"population":[198],"density.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":11}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
