{"id":"https://openalex.org/W4280513732","doi":"https://doi.org/10.1109/tkde.2022.3196936","title":"ST-ExpertNet: A Deep Expert Framework for Traffic Prediction","display_name":"ST-ExpertNet: A Deep Expert Framework for Traffic Prediction","publication_year":2022,"publication_date":"2022-08-08","ids":{"openalex":"https://openalex.org/W4280513732","doi":"https://doi.org/10.1109/tkde.2022.3196936"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3196936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3196936","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5077405071","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0002-5396-7659"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, SUSTech-UTokyo Joint Research Center on Super Smart City, Southern University of Science and Technology (SUSTech), Shenzhen, China","Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology (SUSTech), Shenzhen, China","SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUSTech-UTokyo Joint Research Center on Super Smart City, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015937587","display_name":"Jiyuan Chen","orcid":"https://orcid.org/0000-0002-4119-138X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyuan Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, SUSTech-UTokyo Joint Research Center on Super Smart City, Southern University of Science and Technology (SUSTech), Shenzhen, China","Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology (SUSTech), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUSTech-UTokyo Joint Research Center on Super Smart City, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009062546","display_name":"Zipei Fan","orcid":"https://orcid.org/0000-0002-1442-1530"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zipei Fan","raw_affiliation_strings":["University of Tokyo, Kashiwa-shi, Chiba, Japan","The University of Tokyo, Kashiwa-shi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Kashiwa-shi, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Kashiwa-shi, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048053629","display_name":"Zhiwen Zhang","orcid":"https://orcid.org/0000-0001-9524-7871"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhiwen Zhang","raw_affiliation_strings":["University of Tokyo, Kashiwa-shi, Chiba, Japan","The University of Tokyo, Kashiwa-shi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Kashiwa-shi, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Kashiwa-shi, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075949180","display_name":"Zekun Cai","orcid":"https://orcid.org/0000-0002-5773-1395"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zekun Cai","raw_affiliation_strings":["University of Tokyo, Kashiwa-shi, Chiba, Japan","The University of Tokyo, Kashiwa-shi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Kashiwa-shi, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Kashiwa-shi, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046856721","display_name":"Xuan Song","orcid":"https://orcid.org/0000-0003-4042-7888"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Song","raw_affiliation_strings":["Department of Computer Science and Engineering, SUSTech-UTokyo Joint Research Center on Super Smart City, Southern University of Science and Technology (SUSTech), Shenzhen, China","Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology (SUSTech), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUSTech-UTokyo Joint Research Center on Super Smart City, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077405071"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.8638,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69595456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"7","first_page":"7512","last_page":"7525"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976999759674072,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9948999881744385,"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":0.7794917225837708},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7498552203178406},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5721562504768372},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.563599169254303},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5381188988685608},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4846689999103546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4419049024581909},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4321235418319702},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42359983921051025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42228150367736816},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41561025381088257},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4146807789802551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3561863899230957},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09427103400230408},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09206536412239075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7794917225837708},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7498552203178406},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5721562504768372},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.563599169254303},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5381188988685608},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4846689999103546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4419049024581909},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4321235418319702},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42359983921051025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42228150367736816},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41561025381088257},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4146807789802551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3561863899230957},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09427103400230408},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09206536412239075},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","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/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3196936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3196936","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W40609341","https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1979500821","https://openalex.org/W1982045232","https://openalex.org/W2010273307","https://openalex.org/W2025653905","https://openalex.org/W2027047167","https://openalex.org/W2027146706","https://openalex.org/W2048299340","https://openalex.org/W2062807603","https://openalex.org/W2066334462","https://openalex.org/W2075183947","https://openalex.org/W2097665214","https://openalex.org/W2117922789","https://openalex.org/W2125126592","https://openalex.org/W2127860643","https://openalex.org/W2133105369","https://openalex.org/W2133564696","https://openalex.org/W2138779671","https://openalex.org/W2150884987","https://openalex.org/W2153207204","https://openalex.org/W2194775991","https://openalex.org/W2423557781","https://openalex.org/W2465297350","https://openalex.org/W2528639018","https://openalex.org/W2530386080","https://openalex.org/W2535805784","https://openalex.org/W2554616628","https://openalex.org/W2583888926","https://openalex.org/W2788134583","https://openalex.org/W2808377988","https://openalex.org/W2904813135","https://openalex.org/W2905872298","https://openalex.org/W2910892140","https://openalex.org/W2922146383","https://openalex.org/W2924208445","https://openalex.org/W2947553656","https://openalex.org/W2962790412","https://openalex.org/W2963149042","https://openalex.org/W2964319113","https://openalex.org/W3005335434","https://openalex.org/W3094231942","https://openalex.org/W3161846591","https://openalex.org/W3193281533","https://openalex.org/W3208915345","https://openalex.org/W4235358875","https://openalex.org/W4237842946","https://openalex.org/W4246587917","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6674660115","https://openalex.org/W6679185769","https://openalex.org/W6679434410","https://openalex.org/W6679512965","https://openalex.org/W6682567057","https://openalex.org/W6685670348","https://openalex.org/W6758779121"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Recently,":[0],"forecasting":[1],"the":[2,22,44,68,71,87,136,158,172,199,209,216,220,244,247],"crowd":[3],"flows":[4],"has":[5],"become":[6],"an":[7,104],"important":[8],"research":[9],"topic,":[10],"and":[11,40,55,102,115,168,177,189,194,232,243,255],"plentiful":[12],"technologies":[13,59],"have":[14,60,234],"achieved":[15],"good":[16],"performances.":[17,178,256],"As":[18],"we":[19,94,128],"all":[20],"know,":[21],"flow":[23,72,89,100,125,151,212],"at":[24],"a":[25,30,96,117,130,183],"citywide":[26],"level":[27],"is":[28],"in":[29,70,147,153,192,252],"mixed":[31,88,211],"state":[32],"with":[33,215],"several":[34,163],"basic":[35],"patterns":[36,73,152],"(e.g.,":[37,49],"commuting,":[38],"working,":[39],"commercial)":[41],"caused":[42],"by":[43,156],"city":[45,217],"area":[46],"functional":[47,120],"distributions":[48],"developed":[50],"commercial":[51],"areas,":[52],"educational":[53],"areas":[54],"parks).":[56],"However,":[57],"existing":[58],"been":[61,235],"criticized":[62],"for":[63,174,241],"their":[64],"lack":[65],"of":[66,119,132,138,150,186,198,249],"considering":[67],"differences":[69],"among":[74],"regions":[75],"since":[76],"they":[77],"want":[78],"to":[79,85,123,145,170],"build":[80],"only":[81],"one":[82],"comprehensive":[83],"model":[84,114],"learn":[86],"tensors.":[90],"Recognizing":[91],"this":[92],"limitation,":[93],"present":[95],"new":[97],"perspective":[98],"on":[99,135,182],"prediction":[101],"propose":[103],"explainable":[105],"framework":[106,240,251],"named":[107],"ST-ExpertNet,":[108],"which":[109,141],"can":[110],"adopt":[111],"every":[112],"spatial-temporal":[113],"train":[116,129],"set":[118],"experts":[121,133,173],"devoted":[122],"specific":[124],"patterns.":[126],"Technically,":[127],"bunch":[131],"based":[134],"Mixture":[137],"Experts":[139],"(MoE),":[140],"guides":[142],"each":[143],"expert":[144],"specialize":[146],"different":[148],"kinds":[149],"sample":[154],"spaces":[155],"using":[157],"gating":[159],"network.":[160],"We":[161,179],"define":[162],"criteria,":[164],"including":[165],"comprehensiveness,":[166],"sparsity,":[167],"preciseness,":[169],"construct":[171],"better":[175],"interpretability":[176,254],"conduct":[180],"experiments":[181,242],"wide":[184],"range":[185],"real-world":[187],"taxi":[188],"bike":[190],"datasets":[191],"Beijing":[193],"NYC.":[195],"The":[196],"visualizations":[197],"expert's":[200],"intermediate":[201],"results":[202,245],"demonstrate":[203],"that":[204],"our":[205,238,250],"ST-ExpertNet":[206,239],"successfully":[207],"disentangles":[208],"city's":[210],"tensors":[213],"along":[214],"layout,":[218],"e.g.,":[219],"urban":[221],"ring":[222],"road":[223],"structure.":[224],"Different":[225],"network":[226],"architectures,":[227],"such":[228],"as":[229],"ST-ResNet,":[230],"ConvLSTM,":[231],"CNN,":[233],"adopted":[236],"into":[237],"demonstrates":[246],"superiority":[248],"both":[253]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}