{"id":"https://openalex.org/W4403577358","doi":"https://doi.org/10.1145/3627673.3679738","title":"Physics-guided Active Sample Reweighting for Urban Flow Prediction","display_name":"Physics-guided Active Sample Reweighting for Urban Flow Prediction","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577358","doi":"https://doi.org/10.1145/3627673.3679738"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5096912395","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-9821-2276"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9821-2276","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461265","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0001-7269-146X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tong Chen","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7269-146X","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092816390","display_name":"Guanhua Ye","orcid":"https://orcid.org/0000-0002-1683-1875"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhua Ye","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1683-1875","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008772211","display_name":"Wentao Zhang","orcid":"https://orcid.org/0000-0002-7532-5550"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Zhang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7532-5550","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-8262-8883","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Huang","orcid":"https://orcid.org/0000-0002-9738-4949"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zi Huang","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9738-4949","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088492734","display_name":"Hongzhi Yin","orcid":"https://orcid.org/0000-0003-1395-261X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongzhi Yin","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1395-261X","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1004","last_page":"1014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9972000122070312,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5986591577529907},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5351470708847046},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.45456886291503906},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.1724732518196106}],"concepts":[{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5986591577529907},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5351470708847046},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.45456886291503906},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.1724732518196106},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W119088996","https://openalex.org/W1980250184","https://openalex.org/W2009396217","https://openalex.org/W2041073517","https://openalex.org/W2056519660","https://openalex.org/W2069329869","https://openalex.org/W2090545299","https://openalex.org/W2131739422","https://openalex.org/W2165698076","https://openalex.org/W2438218466","https://openalex.org/W2487175822","https://openalex.org/W2498566050","https://openalex.org/W2528639018","https://openalex.org/W2604600148","https://openalex.org/W2629386751","https://openalex.org/W2799249922","https://openalex.org/W2884738862","https://openalex.org/W2904449562","https://openalex.org/W2922146383","https://openalex.org/W2949732208","https://openalex.org/W2962790412","https://openalex.org/W2996847713","https://openalex.org/W2998436408","https://openalex.org/W3000301417","https://openalex.org/W3034944009","https://openalex.org/W3035096461","https://openalex.org/W3125675327","https://openalex.org/W3167976752","https://openalex.org/W3169193436","https://openalex.org/W3174022889","https://openalex.org/W3176075655","https://openalex.org/W3194680813","https://openalex.org/W3199447102","https://openalex.org/W3214882838","https://openalex.org/W4283077986","https://openalex.org/W4283819096","https://openalex.org/W4290948144","https://openalex.org/W4292973033","https://openalex.org/W4306317966","https://openalex.org/W4362520119","https://openalex.org/W4382240004","https://openalex.org/W4382318571","https://openalex.org/W4382318725"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885","https://openalex.org/W2298861036","https://openalex.org/W2756100583"],"abstract_inverted_index":{"Urban":[0],"flow":[1,124,130],"prediction":[2,43,61,87,125],"is":[3,141,307],"a":[4,99,161,219,231,238,300],"spatio-temporal":[5,60,75,93],"modelling":[6,218],"task":[7],"that":[8,102,112,274,293],"estimates":[9],"the":[10,25,30,34,42,48,66,86,103,109,114,153,167,174,180,185,204,227,261],"throughput":[11],"of":[12,50,68,179,191,207,264],"transportation":[13,202],"services":[14],"like":[15],"buses,":[16],"taxis,":[17],"and":[18,79,89,144,146,169,177,188,236],"ride-sharing,":[19],"where":[20],"data-driven":[21],"models":[22],"have":[23],"become":[24,120],"most":[26],"popular":[27],"solution":[28],"in":[29,122,152,200,288,303],"past":[31],"decade.":[32],"Meanwhile,":[33],"implicitly":[35],"learned":[36],"mapping":[37],"between":[38,166],"historical":[39],"observations":[40],"to":[41,46,55,108,138,148,184,246,266,279,283],"targets":[44],"tend":[45],"over-simplify":[47],"dynamics":[49,206],"real-world":[51,290],"urban":[52,123,129,208],"flows,":[53],"leading":[54],"suboptimal":[56],"predictions.":[57],"Some":[58],"recent":[59],"solutions":[62],"bring":[63],"remedies":[64],"with":[65,77,299],"notion":[67],"physics-guided":[69,233],"machine":[70],"learning":[71],"(PGML),":[72],"which":[73,117,257],"describes":[74],"data":[76,105,168,192,272],"nuanced":[78],"principled":[80],"physics":[81],"laws,":[82],"thus":[83],"enhancing":[84],"both":[85],"accuracy":[88],"interpretability.":[90],"However,":[91],"these":[92],"PGML":[94,170],"methods":[95],"are":[96],"built":[97],"upon":[98],"strong":[100],"assumption":[101],"observed":[104,128],"fully":[106],"conforms":[107],"differential":[110,215],"equations":[111],"define":[113],"physical":[115,164,277],"system,":[116],"can":[118,210],"quickly":[119],"ill-posed":[121],"tasks.":[126],"The":[127,305],"data,":[131],"especially":[132],"when":[133],"sliced":[134],"into":[135],"time-dependent":[136],"snapshots":[137],"facilitate":[139],"predictions,":[140],"typically":[142],"incomplete":[143],"sparse,":[145],"prone":[147],"inherent":[149],"noise":[150],"incurred":[151],"collection":[154],"process":[155],"(e.g.,":[156,194],"uncalibrated":[157],"traffic":[158],"sensors).":[159],"As":[160],"result,":[162],"such":[163],"inconsistency":[165],"model":[171,262],"significantly":[172],"limits":[173],"predictive":[175],"power":[176],"robustness":[178],"solution.":[181],"Moreover,":[182],"due":[183],"interval-based":[186],"predictions":[187],"intermittent":[189],"nature":[190],"filing":[193],"one":[195],"record":[196],"per":[197],"30":[198],"minutes)":[199],"many":[201],"services,":[203],"instantaneous":[205],"flows":[209],"hardly":[211],"be":[212],"captured,":[213],"rendering":[214],"equation-based":[216],"continuous":[217],"loose":[220],"fit":[221],"for":[222],"this":[223],"setting.":[224],"To":[225],"overcome":[226],"challenges,":[228],"we":[229],"develop":[230],"discretized":[232],"network":[234],"(PN),":[235],"propose":[237],"data-aware":[239],"framework":[240],"<u>P</u>hysics-<u>g</u>uided":[241],"<u>A</u>ctive":[242],"<u>S</u>ample":[243],"<u>R</u>eweighting":[244],"(P-GASR)":[245],"enhance":[247,267],"PN.":[248],"Technically,":[249],"P-GASR":[250],"incorporates":[251],"an":[252],"active":[253],"sample":[254],"reweighting":[255],"pipeline,":[256],"not":[258],"only":[259],"minimizes":[260],"uncertainty":[263],"PN":[265,284],"robustness,":[268],"but":[269],"also":[270],"prioritizes":[271],"samples":[273],"exhibit":[275],"higher":[276],"compliance":[278],"reinforce":[280],"their":[281],"contribution":[282],"training.":[285],"Experimental":[286],"results":[287],"four":[289],"datasets":[291],"demonstrate":[292],"our":[294],"method":[295],"achieves":[296],"state-of-the-art":[297],"performance":[298],"demonstrable":[301],"improvement":[302],"robustness.":[304],"code":[306],"released":[308],"at":[309],"https://github.com/WeiJiang01/P-GASR.":[310]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}