{"id":"https://openalex.org/W4408352200","doi":"https://doi.org/10.1109/icassp49660.2025.10888231","title":"Semantics-Guided Dynamic Hypergraph Network for Human Mobility Nowcasting in Disaster","display_name":"Semantics-Guided Dynamic Hypergraph Network for Human Mobility Nowcasting in Disaster","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352200","doi":"https://doi.org/10.1109/icassp49660.2025.10888231"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100385138","display_name":"Bowen Zhang","orcid":"https://orcid.org/0000-0002-3581-9476"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bowen Zhang","raw_affiliation_strings":["Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078472885","display_name":"Yunlong Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Xing","raw_affiliation_strings":["Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101367213","display_name":"Zinao Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zinao Su","raw_affiliation_strings":["Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001350022","display_name":"Jinzhou Cao","orcid":"https://orcid.org/0000-0001-6201-3251"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzhou Cao","raw_affiliation_strings":["Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001627190","display_name":"Tianhong Zhao","orcid":"https://orcid.org/0000-0002-9290-2049"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhong Zhao","raw_affiliation_strings":["Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018994926","display_name":"Genan Dai","orcid":"https://orcid.org/0000-0003-2583-0433"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genan Dai","raw_affiliation_strings":["Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100385138"],"corresponding_institution_ids":["https://openalex.org/I4210152380"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03722842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9552000164985657,"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":0.9552000164985657,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.926800012588501,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nowcasting","display_name":"Nowcasting","score":0.8160035014152527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7258682250976562},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7020269632339478},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6243047118186951},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1972406804561615},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08787140250205994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07429614663124084}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.8160035014152527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258682250976562},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7020269632339478},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6243047118186951},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1972406804561615},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08787140250205994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07429614663124084},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2124499489","https://openalex.org/W2528639018","https://openalex.org/W2756203131","https://openalex.org/W2896457183","https://openalex.org/W2903871660","https://openalex.org/W2946885273","https://openalex.org/W2951441143","https://openalex.org/W2965341826","https://openalex.org/W2997848713","https://openalex.org/W3012562343","https://openalex.org/W3080253043","https://openalex.org/W4353109195","https://openalex.org/W4367046688","https://openalex.org/W4385270450","https://openalex.org/W4385569626","https://openalex.org/W4386576783","https://openalex.org/W4400642559","https://openalex.org/W4401024533","https://openalex.org/W6852774139"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2098567841","https://openalex.org/W3124209601","https://openalex.org/W2238969010","https://openalex.org/W2189249776","https://openalex.org/W1526105959","https://openalex.org/W3193710367","https://openalex.org/W3122492506"],"abstract_inverted_index":{"Human":[0],"mobility":[1,13,99],"nowcasting":[2,100],"is":[3],"crucial":[4],"for":[5,97],"public":[6],"safety,":[7],"especially":[8],"during":[9],"disasters":[10],"when":[11],"human":[12,37,76,98],"significantly":[14],"differs":[15],"from":[16],"normal":[17],"patterns,":[18],"posing":[19,78],"unique":[20],"challenges.":[21],"Recent":[22],"studies":[23,41],"have":[24],"shown":[25],"a":[26,79,90],"correlation":[27],"between":[28,73,124],"disaster-related":[29],"social":[30,57,66],"media":[31,58],"information":[32,107],"and":[33,60,126],"abnormal":[34],"patterns":[35],"in":[36,75,101],"mobility.":[38],"However,":[39],"these":[40],"mainly":[42],"focus":[43],"on":[44],"text":[45,67],"counts":[46],"while":[47],"neglecting":[48],"semantic":[49,106],"text,":[50],"which":[51],"limits":[52],"the":[53,117,133],"effective":[54],"use":[55],"of":[56,135],"data":[59],"reduces":[61],"model":[62,104],"prediction":[63,128],"performance.":[64,129],"The":[65,103],"semantics":[68],"reveal":[69],"inherent":[70],"non-pairwise":[71,122],"relationships":[72,123],"regions":[74],"mobility,":[77],"challenge":[80],"to":[81,108,116],"traditional":[82],"graph":[83],"neural":[84],"network":[85],"approaches.":[86],"Thus,":[87],"we":[88],"propose":[89],"Semantics-Guided":[91],"Dynamic":[92],"Hypergraph":[93],"Convolutional":[94],"Network":[95],"(SG-DyHGCN)":[96],"disaster.":[102],"leverages":[105],"guide":[109],"dynamic":[110],"hyper-graph":[111,118],"construction,":[112],"enabling":[113],"flexible":[114],"adjustments":[115],"structure,":[119],"effectively":[120],"capturing":[121],"regions,":[125],"enhancing":[127],"Experimental":[130],"results":[131],"validate":[132],"effectiveness":[134],"our":[136],"method.":[137]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
