{"id":"https://openalex.org/W4366378549","doi":"https://doi.org/10.1109/tits.2023.3266398","title":"Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach","display_name":"Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366378549","doi":"https://doi.org/10.1109/tits.2023.3266398"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3266398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3266398","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","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/A5002694158","display_name":"Huang Yun-jie","orcid":"https://orcid.org/0000-0001-6930-1838"},"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":"Yunjie Huang","raw_affiliation_strings":["Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6930-1838","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082145837","display_name":"Xiaozhuang Song","orcid":"https://orcid.org/0000-0002-7861-8957"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhuang Song","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7861-8957","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084537731","display_name":"Yuanshao Zhu","orcid":"https://orcid.org/0000-0002-5657-181X"},"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":"Yuanshao Zhu","raw_affiliation_strings":["Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5657-181X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064293717","display_name":"Shiyao Zhang","orcid":"https://orcid.org/0000-0002-0004-1801"},"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":"Shiyao Zhang","raw_affiliation_strings":["Research Institute for Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0004-1801","affiliations":[{"raw_affiliation_string":"Research Institute for Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076130415","display_name":"James J. Q. Yu","orcid":"https://orcid.org/0000-0002-6392-6711"},"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":"James J. Q. Yu","raw_affiliation_strings":["Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6392-6711","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2732,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.92258181,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"24","issue":"8","first_page":"8236","last_page":"8252"},"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":0.993399977684021,"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":0.9915000200271606,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.7512562870979309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814887523651123},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6077927350997925},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.548293948173523},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5147511959075928},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5112836360931396},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4979243278503418},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4923630952835083},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4874734878540039},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4701792299747467},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.43650031089782715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4307772219181061},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42208540439605713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11029195785522461},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10641247034072876}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7512562870979309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814887523651123},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6077927350997925},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.548293948173523},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5147511959075928},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5112836360931396},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4979243278503418},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4923630952835083},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4874734878540039},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4701792299747467},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.43650031089782715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4307772219181061},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42208540439605713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11029195785522461},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10641247034072876},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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:10.1109/tits.2023.3266398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3266398","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W41920990","https://openalex.org/W626441390","https://openalex.org/W1488841676","https://openalex.org/W1489929974","https://openalex.org/W1592554650","https://openalex.org/W1610291649","https://openalex.org/W1665214252","https://openalex.org/W1673310716","https://openalex.org/W1810285639","https://openalex.org/W1815076433","https://openalex.org/W1894414046","https://openalex.org/W1972014385","https://openalex.org/W1989280111","https://openalex.org/W1996528178","https://openalex.org/W2036785686","https://openalex.org/W2038436579","https://openalex.org/W2062017159","https://openalex.org/W2064675550","https://openalex.org/W2109820980","https://openalex.org/W2122925692","https://openalex.org/W2127218421","https://openalex.org/W2165698076","https://openalex.org/W2165991108","https://openalex.org/W2295598076","https://openalex.org/W2364981588","https://openalex.org/W2463983882","https://openalex.org/W2528639018","https://openalex.org/W2555251031","https://openalex.org/W2583189593","https://openalex.org/W2756096625","https://openalex.org/W2756203131","https://openalex.org/W2783519195","https://openalex.org/W2793820729","https://openalex.org/W2887131022","https://openalex.org/W2887717598","https://openalex.org/W2887997457","https://openalex.org/W2889831443","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2904832339","https://openalex.org/W2911752602","https://openalex.org/W2922919311","https://openalex.org/W2960749694","https://openalex.org/W2962989616","https://openalex.org/W2963358464","https://openalex.org/W2966783050","https://openalex.org/W2969279223","https://openalex.org/W3012562343","https://openalex.org/W3022070552","https://openalex.org/W3031609778","https://openalex.org/W3034693603","https://openalex.org/W3034944009","https://openalex.org/W3038981236","https://openalex.org/W3095602948","https://openalex.org/W3103450426","https://openalex.org/W3103720336","https://openalex.org/W3115061052","https://openalex.org/W3118092143","https://openalex.org/W3123191313","https://openalex.org/W3126367810","https://openalex.org/W3126441351","https://openalex.org/W3153068647","https://openalex.org/W3158058297","https://openalex.org/W3169919178","https://openalex.org/W3185561982","https://openalex.org/W3193281533","https://openalex.org/W3207379368","https://openalex.org/W3207999419","https://openalex.org/W3208915345","https://openalex.org/W4206637108","https://openalex.org/W4220888633","https://openalex.org/W4300618951","https://openalex.org/W6601673678","https://openalex.org/W6619978402","https://openalex.org/W6629268372","https://openalex.org/W6637131181","https://openalex.org/W6637242042","https://openalex.org/W6638545294","https://openalex.org/W6678914141","https://openalex.org/W6707652180","https://openalex.org/W6746015598","https://openalex.org/W6754132790","https://openalex.org/W6754278344","https://openalex.org/W6779518175","https://openalex.org/W6780221082","https://openalex.org/W6784694379","https://openalex.org/W6797926237"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W4390608645","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W4247566972","https://openalex.org/W2913146933","https://openalex.org/W2960264696","https://openalex.org/W2354872956","https://openalex.org/W3171384686"],"abstract_inverted_index":{"In":[0,117],"modern":[1],"traffic":[2,38,76,91],"management,":[3],"one":[4],"of":[5,46],"the":[6,108,119,148],"most":[7],"essential":[8],"yet":[9],"challenging":[10],"tasks":[11],"is":[12,136],"accurately":[13],"and":[14,23,64,102,146],"timely":[15],"predicting":[16],"traffic.":[17],"It":[18],"has":[19],"been":[20],"well":[21],"investigated":[22],"examined":[24],"that":[25,79],"deep":[26],"learning-based":[27],"Spatio-temporal":[28,35],"models":[29,42],"have":[30],"an":[31],"edge":[32],"when":[33],"exploiting":[34],"relationships":[36],"in":[37,51,90,129],"data.":[39],"Typically,":[40],"data-driven":[41],"require":[43],"vast":[44],"volumes":[45],"data,":[47],"but":[48],"gathering":[49],"data":[50,82,100,112,130,133],"small":[52,132],"cities":[53,85,89],"can":[54],"be":[55],"difficult":[56],"owing":[57],"to":[58,86,126,154],"constraints":[59],"such":[60],"as":[61],"equipment":[62],"deployment":[63],"maintenance":[65],"costs.":[66],"To":[67],"resolve":[68],"this":[69],"problem,":[70],"we":[71],"propose":[72],"TrafficTL,":[73],"a":[74,94],"cross-city":[75],"prediction":[77],"approach":[78],"uses":[80],"big":[81],"from":[83,114,131],"other":[84],"aid":[87],"data-scarce":[88],"prediction.":[92],"Utilizing":[93],"periodicity-based":[95],"transfer":[96,105],"paradigm,":[97],"it":[98],"identifies":[99],"similarity":[101],"reduces":[103],"negative":[104],"caused":[106],"by":[107,138,151],"disparity":[109],"between":[110],"two":[111],"distributions":[113],"distant":[115],"cities.":[116,134],"addition,":[118],"suggested":[120],"method":[121],"employs":[122],"graph":[123],"reconstruction":[124],"techniques":[125],"rectify":[127],"defects":[128],"TrafficTL":[135],"evaluated":[137],"comprehensive":[139],"case":[140],"studies":[141],"on":[142],"three":[143],"real-world":[144],"datasets":[145],"outperforms":[147],"state-of-the-art":[149],"baseline":[150],"around":[152],"8":[153],"25":[155],"percent.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
