{"id":"https://openalex.org/W4401863317","doi":"https://doi.org/10.1145/3637528.3671578","title":"UrbanGPT: Spatio-Temporal Large Language Models","display_name":"UrbanGPT: Spatio-Temporal Large Language Models","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863317","doi":"https://doi.org/10.1145/3637528.3671578"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671578","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023084303","display_name":"Zhonghang Li","orcid":"https://orcid.org/0000-0002-3977-1334"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Zhonghang Li","raw_affiliation_strings":["South China University of Technology & The University of Hong Kong, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology & The University of Hong Kong, Guangzhou, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019844880","display_name":"Lianghao Xia","orcid":"https://orcid.org/0000-0003-0725-2211"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Lianghao Xia","raw_affiliation_strings":["Baidu Inc., Beijing, China","The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101451300","display_name":"Jiabin Tang","orcid":"https://orcid.org/0009-0002-7002-3585"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiabin Tang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103324122","display_name":"Lei Shi","orcid":"https://orcid.org/0009-0008-8043-7224"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006380388","display_name":"Long Xia","orcid":"https://orcid.org/0009-0007-7536-6241"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Long Xia","raw_affiliation_strings":["Baidu Inc., Beijing, China","The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101771060","display_name":"Dawei Yin","orcid":"https://orcid.org/0000-0002-0684-6205"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Yin","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091518548","display_name":"Chao Huang","orcid":"https://orcid.org/0009-0003-3740-4500"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5023084303"],"corresponding_institution_ids":["https://openalex.org/I889458895","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":28.4595,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.99938219,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5351","last_page":"5362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"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/T11106","display_name":"Data Management and Algorithms","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274243831634521},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3787016272544861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3263387382030487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274243831634521},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3787016272544861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3263387382030487}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3637528.3671578","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/355978","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/355978","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2514525802","https://openalex.org/W2528639018","https://openalex.org/W2756203131","https://openalex.org/W2788114581","https://openalex.org/W2809366716","https://openalex.org/W2895806569","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2912407321","https://openalex.org/W2950817888","https://openalex.org/W2965341826","https://openalex.org/W2996847713","https://openalex.org/W3012562343","https://openalex.org/W3102632991","https://openalex.org/W3103720336","https://openalex.org/W3171958173","https://openalex.org/W3176075655","https://openalex.org/W3177402291","https://openalex.org/W3198377975","https://openalex.org/W3213170289","https://openalex.org/W4224911291","https://openalex.org/W4283315029","https://openalex.org/W4289533938","https://openalex.org/W4290927794","https://openalex.org/W4290944372","https://openalex.org/W4367046748","https://openalex.org/W4385270450","https://openalex.org/W4385567790","https://openalex.org/W4386729952","https://openalex.org/W4392367398","https://openalex.org/W4393160302","https://openalex.org/W4394593151","https://openalex.org/W4396758712","https://openalex.org/W4400524696"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Spatio-temporal":[0],"prediction":[1],"aims":[2],"to":[3,23,49,63,77,101,117],"forecast":[4],"and":[5,18,28,40],"gain":[6],"insights":[7],"into":[8],"the":[9,83,110],"ever-changing":[10],"dynamics":[11],"of":[12,33,67,85],"urban":[13,34,92],"environments":[14],"across":[15,128],"both":[16],"time":[17],"space.":[19],"Its":[20],"purpose":[21],"is":[22,61,88],"anticipate":[24],"future":[25],"patterns,":[26],"trends,":[27],"events":[29],"in":[30,90],"diverse":[31,129],"facets":[32],"life,":[35],"including":[36],"transportation,":[37],"population":[38],"movement,":[39],"crime":[41],"rates.":[42],"Although":[43],"numerous":[44],"efforts":[45],"have":[46],"been":[47],"dedicated":[48],"developing":[50],"neural":[51],"network":[52],"techniques":[53],"for":[54],"accurate":[55],"predictions":[56],"on":[57,72],"spatio-temporal":[58,80,120,130],"data,":[59],"it":[60,98,114],"important":[62],"note":[64],"that":[65,122],"many":[66],"these":[68],"methods":[69],"heavily":[70],"depend":[71],"having":[73],"sufficient":[74],"labeled":[75,104],"data":[76,86,105],"generate":[78],"precise":[79],"representations.":[81],"Unfortunately,":[82],"issue":[84],"scarcity":[87],"pervasive":[89],"practical":[91],"sensing":[93],"scenarios.":[94,132],"In":[95],"certain":[96],"cases,":[97],"becomes":[99,115],"challenging":[100],"collect":[102],"any":[103],"from":[106],"downstream":[107],"scenarios,":[108],"intensifying":[109],"problem":[111],"further.":[112],"Consequently,":[113],"necessary":[116],"build":[118],"a":[119],"model":[121],"can":[123],"exhibit":[124],"strong":[125],"generalization":[126],"capabilities":[127],"learning":[131]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":91},{"year":2024,"cited_by_count":6}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}