{"id":"https://openalex.org/W4387846662","doi":"https://doi.org/10.1145/3583780.3615068","title":"ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction","display_name":"ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846662","doi":"https://doi.org/10.1145/3583780.3615068"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","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/A5100706220","display_name":"Shuhao Li","orcid":"https://orcid.org/0009-0008-5175-7667"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhao Li","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-5175-7667","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055065511","display_name":"Yue Cui","orcid":"https://orcid.org/0000-0002-1656-5407"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yue Cui","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-1656-5407","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060365518","display_name":"Yan Zhao","orcid":"https://orcid.org/0000-0002-0242-3707"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Yan Zhao","raw_affiliation_strings":["Aalborg University, Aalborg, Denmark"],"raw_orcid":"https://orcid.org/0000-0002-0242-3707","affiliations":[{"raw_affiliation_string":"Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101865874","display_name":"Weidong Yang","orcid":"https://orcid.org/0000-0002-6473-9272"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Yang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6473-9272","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012702337","display_name":"Ruiyuan Zhang","orcid":"https://orcid.org/0000-0003-2022-7387"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ruiyuan Zhang","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-7387","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011384237","display_name":"Xiaofang Zhou","orcid":"https://orcid.org/0000-0001-6343-1455"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaofang Zhou","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-6343-1455","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1617,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86248564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1208","last_page":"1217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9966999888420105,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.765839695930481},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6285964250564575},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5100420117378235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5019669532775879},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4833640456199646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4654088318347931},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4479236602783203},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.42456039786338806},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.42108890414237976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4126720726490021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33047354221343994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765839695930481},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6285964250564575},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5100420117378235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5019669532775879},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4833640456199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4654088318347931},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4479236602783203},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.42456039786338806},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.42108890414237976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4126720726490021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33047354221343994},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3583780.3615068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-135531","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-135531","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:pure.atira.dk:publications/292f7222-8b24-4c31-a39d-e81a84e51558","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/292f7222-8b24-4c31-a39d-e81a84e51558","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li , S , Cui , Y , Zhao , Y , Yang , W , Zhang , R & Zhou , X 2023 , ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction . in CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management . pp. 1208\u20131217 . https://doi.org/10.1145/3583780.3615068","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321026","display_name":"Ministry of Earth Sciences","ror":"https://ror.org/013cf5k59"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W314265539","https://openalex.org/W1516184288","https://openalex.org/W2013170277","https://openalex.org/W2020631728","https://openalex.org/W2036785686","https://openalex.org/W2144499799","https://openalex.org/W2171557311","https://openalex.org/W2583466634","https://openalex.org/W2788134583","https://openalex.org/W2793820729","https://openalex.org/W2806382623","https://openalex.org/W2807894308","https://openalex.org/W2903871660","https://openalex.org/W2908074993","https://openalex.org/W2944500953","https://openalex.org/W2950817888","https://openalex.org/W2962790412","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W3080344546","https://openalex.org/W3081469395","https://openalex.org/W3099531345","https://openalex.org/W3123191313","https://openalex.org/W3126367810","https://openalex.org/W3171958173","https://openalex.org/W4220953849","https://openalex.org/W4285357695"],"related_works":["https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W4386875279","https://openalex.org/W2171721708","https://openalex.org/W4390963114","https://openalex.org/W4287887864","https://openalex.org/W3214527415","https://openalex.org/W1495104519","https://openalex.org/W4225584739","https://openalex.org/W2199432031"],"abstract_inverted_index":{"The":[0],"pervasiveness":[1],"of":[2,13,139,142,192,209],"GPS-enabled":[3],"devices":[4],"and":[5,29,51,119,145,169,203],"wireless":[6],"communication":[7],"technologies":[8],"results":[9,80,198],"in":[10,16],"a":[11,91,126,157],"proliferation":[12],"traffic":[14,21,35,46,63,104,112],"data":[15],"intelligent":[17],"transportation":[18],"systems,":[19],"where":[20],"prediction":[22,36,64,79,113,190],"is":[23],"often":[24],"essential":[25],"to":[26,68,99,110,128,135,153],"enable":[27],"reliability":[28],"safety.":[30],"Many":[31],"recent":[32],"studies":[33,58],"target":[34],"using":[37],"deep":[38,49],"learning":[39,50],"techniques.":[40],"They":[41],"model":[42,114],"spatio-temporal":[43,94,137,158],"dependencies":[44],"among":[45,172],"states":[47],"by":[48,178],"achieve":[52],"good":[53],"overall":[54,189],"performance.":[55],"However,":[56],"existing":[57],"ignore":[59],"the":[60,76,101,116,121,164,188,193,207],"bias":[61,102],"on":[62,81,103,199],"models,":[65],"which":[66,184],"refers":[67],"non-uniformed":[69],"performance":[70,171],"distribution":[71],"across":[72],"road":[73,83,143,173],"segments,":[74],"especially":[75],"significantly":[77],"poor":[78],"certain":[82],"segments.":[84],"To":[85,161],"solve":[86],"this":[87,162],"issue,":[88],"we":[89,108],"propose":[90],"framework":[92,124],"named":[93],"mixture-of-experts":[95],"(ST-MoE)":[96],"that":[97],"aims":[98],"eliminate":[100],"prediction.":[105],"In":[106],"general,":[107],"refer":[109],"any":[111],"as":[115,125],"based":[117],"model,":[118],"adopt":[120],"proposed":[122],"ST-MoE":[123,130],"plug-in":[127],"debias.":[129],"uses":[131],"stacked":[132],"convolution-based":[133],"networks":[134],"learn":[136],"representations":[138],"individual":[140],"patterns":[141,155,165],"segments":[144,174],"then":[146],"adaptively":[147],"assigns":[148],"appropriate":[149],"expert":[150],"layers":[151],"(sub-networks)":[152],"different":[154],"through":[156],"gating":[159],"network.":[160],"end,":[163],"can":[166,175],"be":[167,176],"distinguished,":[168],"biased":[170],"eliminated":[177],"experts":[179],"tailored":[180],"for":[181],"specific":[182],"patterns,":[183],"also":[185],"further":[186],"improves":[187],"accuracy":[191],"base":[194,201],"model.":[195],"Extensive":[196],"experimental":[197],"various":[200],"models":[202],"real-world":[204],"datasets":[205],"prove":[206],"effectiveness":[208],"ST-MoE.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}