{"id":"https://openalex.org/W4394975823","doi":"https://doi.org/10.1145/3660523","title":"Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference","display_name":"Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference","publication_year":2024,"publication_date":"2024-04-20","ids":{"openalex":"https://openalex.org/W4394975823","doi":"https://doi.org/10.1145/3660523"},"language":"en","primary_location":{"id":"doi:10.1145/3660523","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3660523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3660523","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3660523","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034170705","display_name":"Xovee Xu","orcid":"https://orcid.org/0000-0001-6415-7558"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xovee Xu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6415-7558","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034789908","display_name":"Ting Zhong","orcid":"https://orcid.org/0000-0002-8163-3146"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhong","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8163-3146","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405478","display_name":"Haoyang Yu","orcid":"https://orcid.org/0000-0003-1933-7220"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Yu","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-1933-7220","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8038-8150","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086447943","display_name":"Goce Trajcevski","orcid":"https://orcid.org/0000-0002-8839-6278"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goce Trajcevski","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, United States"],"raw_orcid":"https://orcid.org/0000-0002-8839-6278","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, United States","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.213,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47540704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":"4","first_page":"1","last_page":"26"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7804540395736694},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7219212651252747},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.719913125038147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4790405035018921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4689820408821106},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4597392976284027},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4597386121749878},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4418369233608246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804540395736694},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7219212651252747},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.719913125038147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4790405035018921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4689820408821106},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4597392976284027},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4597386121749878},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4418369233608246},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3660523","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3660523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3660523","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3660523","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3660523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3660523","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7297042243","display_name":"Collaborative Research: SWIFT: LARGE: Dynamics and Security Aware Predictive Spectrum Sharing with Active and Passive Users","funder_award_id":"2030249","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394975823.pdf","grobid_xml":"https://content.openalex.org/works/W4394975823.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2112738128","https://openalex.org/W2119885577","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2473930607","https://openalex.org/W2476548250","https://openalex.org/W2528639018","https://openalex.org/W2560647685","https://openalex.org/W2604521289","https://openalex.org/W2746314669","https://openalex.org/W2765407302","https://openalex.org/W2802430251","https://openalex.org/W2901471513","https://openalex.org/W2912407321","https://openalex.org/W2963470893","https://openalex.org/W2992308087","https://openalex.org/W2998508940","https://openalex.org/W3008578452","https://openalex.org/W3030364939","https://openalex.org/W3033535063","https://openalex.org/W3034388290","https://openalex.org/W3049690032","https://openalex.org/W3069141980","https://openalex.org/W3083228182","https://openalex.org/W3123875030","https://openalex.org/W3123909522","https://openalex.org/W3125116114","https://openalex.org/W3130684690","https://openalex.org/W3134021275","https://openalex.org/W3135728061","https://openalex.org/W3156972038","https://openalex.org/W3161675142","https://openalex.org/W3169193436","https://openalex.org/W3170140111","https://openalex.org/W3201493179","https://openalex.org/W4200099066","https://openalex.org/W4206487776","https://openalex.org/W4212805283","https://openalex.org/W4214809422","https://openalex.org/W4221145213","https://openalex.org/W4223947398","https://openalex.org/W4224925665","https://openalex.org/W4225341287","https://openalex.org/W4250621041","https://openalex.org/W4283794221","https://openalex.org/W4288356534","https://openalex.org/W4306316985","https://openalex.org/W4312107756","https://openalex.org/W4312899164","https://openalex.org/W4382240063","https://openalex.org/W4386825278","https://openalex.org/W4387076452","https://openalex.org/W4387848676","https://openalex.org/W4388936714","https://openalex.org/W6688325169","https://openalex.org/W6773747152","https://openalex.org/W6798899607"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W4248896073","https://openalex.org/W4320853675"],"abstract_inverted_index":{"Citywide":[0],"fine-grained":[1,97],"urban":[2,27,50,187],"flow":[3,12,51,113,188],"inference":[4,86,107],"(FUFI)":[5],"problem":[6,37,66],"aims":[7],"to":[8,53,62,134,140,159,178],"infer":[9],"the":[10,15,48,55,63,76,96,137,142,146,161,165,180,210],"high-resolution":[11],"maps":[13,52],"from":[14,38,116],"coarse-grained":[16],"ones,":[17],"which":[18],"plays":[19],"an":[20,126],"important":[21],"role":[22],"in":[23,79],"sustainable":[24],"and":[25,29,43,67,81,119,207],"economic":[26],"computing":[28],"intelligent":[30],"traffic":[31,99],"management.":[32],"Previous":[33],"models":[34],"tackle":[35],"this":[36,72],"spatial":[39],"constraint,":[40],"external":[41],"factors,":[42],"memory":[44],"cost.":[45],"However,":[46],"utilizing":[47],"new":[49,149],"calibrate":[54],"learned":[56,138],"model":[57,147,202],"is":[58,68],"very":[59],"challenging":[60],"due":[61],"\u201ccatastrophic":[64],"forgetting\u201d":[65],"still":[69],"under-explored.":[70],"In":[71],"article,":[73],"we":[74,103,124],"make":[75],"first":[77],"step":[78],"FUFI":[80,196],"present":[82,125],"CUFAR\u2014Continual":[83],"Urban":[84],"Flow":[85],"with":[87],"augmented":[88,127],"Adaptive":[89],"knowledge":[90,129,139,150,176],"Replay\u2014a":[91],"novel":[92],"framework":[93],"for":[94],"inferring":[95],"citywide":[98],"flows.":[100],"Specifically,":[101],"(1)":[102],"design":[104],"a":[105,175],"spatial-temporal":[106],"network":[108],"that":[109,199],"can":[110],"extract":[111],"better":[112],"map":[114],"features":[115],"both":[117],"local":[118],"global":[120],"levels;":[121],"(2)":[122],"then,":[123],"adaptive":[128],"replay":[130,136],"(AKR)":[131],"training":[132],"algorithm":[133],"selectively":[135],"facilitate":[141],"learning":[143,166],"process":[144],"of":[145,164],"on":[148,192],"without":[151],"forgetting.":[152],"We":[153,172],"apply":[154],"several":[155],"data":[156],"augmentation":[157],"techniques":[158],"improve":[160],"generalization":[162],"capability":[163],"model,":[167],"gaining":[168],"additional":[169],"performance":[170],"improvements.":[171],"also":[173],"propose":[174],"discriminator":[177],"avoid":[179],"\u201cnegative":[181],"replaying\u201d":[182],"issue":[183],"introduced":[184],"by":[185],"noisy":[186],"maps.":[189],"Extensive":[190],"experiments":[191],"two":[193],"large-scale":[194],"real-world":[195],"datasets":[197],"demonstrate":[198],"our":[200],"proposed":[201],"consistently":[203],"outperforms":[204],"strong":[205],"baselines":[206],"effectively":[208],"mitigates":[209],"forgetting":[211],"problem.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}