{"id":"https://openalex.org/W4407316146","doi":"https://doi.org/10.1109/tits.2025.3537038","title":"Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning","display_name":"Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W4407316146","doi":"https://doi.org/10.1109/tits.2025.3537038"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3537038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3537038","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/A5101528191","display_name":"Chenxing Wang","orcid":"https://orcid.org/0000-0003-4096-7972"},"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":"Chenxing Wang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4096-7972","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329778","display_name":"Fang Zhao","orcid":"https://orcid.org/0000-0002-4784-5778"},"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":"Fang Zhao","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4784-5778","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052635380","display_name":"Haiyong Luo","orcid":"https://orcid.org/0000-0001-6827-4225"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Luo","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","Institute of Computing Technology, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6827-4225","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Computing Technology, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043291162","display_name":"Poly Z. H. Sun","orcid":"https://orcid.org/0000-0001-6156-1766"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Poly Z. H. Sun","raw_affiliation_strings":["School of Psychology and Cognitive Science, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6156-1766","affiliations":[{"raw_affiliation_string":"School of Psychology and Cognitive Science, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022580520","display_name":"Yuchen Fang","orcid":"https://orcid.org/0000-0002-6797-7292"},"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":"Yuchen Fang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-6797-7292","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2105,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8500083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"26","issue":"6","first_page":"8945","last_page":"8960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9559999704360962,"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":0.9559999704360962,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9124000072479248,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5541142225265503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5261102318763733},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.49796438217163086},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4556756913661957},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.43945157527923584},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3579731583595276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30400514602661133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29997700452804565},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.24422761797904968},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.18665051460266113},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1119219958782196}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5541142225265503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5261102318763733},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.49796438217163086},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4556756913661957},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.43945157527923584},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3579731583595276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30400514602661133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29997700452804565},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.24422761797904968},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.18665051460266113},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1119219958782196},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3537038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3537038","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":[],"awards":[{"id":"https://openalex.org/G6866453331","display_name":null,"funder_award_id":"62261042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7231484843","display_name":null,"funder_award_id":"2024M750200","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1979081979","https://openalex.org/W2022749020","https://openalex.org/W2108467170","https://openalex.org/W2136317921","https://openalex.org/W2154136024","https://openalex.org/W2795016801","https://openalex.org/W2896457183","https://openalex.org/W2911752602","https://openalex.org/W2952493731","https://openalex.org/W2965725760","https://openalex.org/W2966783050","https://openalex.org/W2973201950","https://openalex.org/W2977253239","https://openalex.org/W2978175896","https://openalex.org/W2979324907","https://openalex.org/W3018437860","https://openalex.org/W3088534846","https://openalex.org/W3167652394","https://openalex.org/W3169134134","https://openalex.org/W3173572290","https://openalex.org/W3175833479","https://openalex.org/W4210611985","https://openalex.org/W4226538835","https://openalex.org/W4284668616","https://openalex.org/W4285604309","https://openalex.org/W4285827226","https://openalex.org/W4290927794","https://openalex.org/W4290944372","https://openalex.org/W4317767784","https://openalex.org/W4366572621","https://openalex.org/W4385061950","https://openalex.org/W4385245566","https://openalex.org/W4385270240","https://openalex.org/W4385283024","https://openalex.org/W4385825790","https://openalex.org/W4387848594","https://openalex.org/W4387848920","https://openalex.org/W4391054880","https://openalex.org/W4393078682","https://openalex.org/W4399881190","https://openalex.org/W4401428717","https://openalex.org/W4402797427","https://openalex.org/W6636500457","https://openalex.org/W6640185926","https://openalex.org/W6684821475","https://openalex.org/W6736057607","https://openalex.org/W6768532476","https://openalex.org/W6780226713","https://openalex.org/W6787995345","https://openalex.org/W6797155008"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W2383578611","https://openalex.org/W2987583674"],"abstract_inverted_index":{"Transportation":[0],"mode-aware":[1],"trajectory":[2,20,127],"recovery":[3,112],"is":[4],"the":[5,25,32,61,91,98,102,111,115,134,145,172,180,188,201,204,219,222],"fundamental":[6],"for":[7,36,114,164,174,221],"individual":[8,43,168],"oriented":[9],"downstream":[10],"tasks":[11],"in":[12],"intelligent":[13],"transportation":[14,38,149],"systems.":[15],"Different":[16],"from":[17,24,31,45,60,87,200],"vehicle":[18,58],"based":[19,192],"recovery,":[21],"it":[22],"suffers":[23],"heterogeneity":[26],"and":[27,95,139,143,170],"sparsity":[28],"issues":[29],"arising":[30],"insufficient":[33],"data":[34],"labelled":[35],"distinct":[37,162],"modes":[39,46,89,150],"(e.g.,":[40],"obtaining":[41,56],"limited":[42],"trajectories":[44,59],"like":[47,63],"walking":[48],"or":[49],"cycling":[50],"due":[51],"to":[52,82,132,160,179,196,203],"privacy":[53],"concerns":[54],"while":[55],"rich":[57],"mode":[62],"driving).":[64],"To":[65,117],"alleviate":[66],"this,":[67,119],"we":[68,120,155,186],"develop":[69,122],"a":[70,157],"novel":[71],"Cross-trAnsportation-mode":[72],"Knowledge":[73],"transfEr":[74],"method":[75,216],"with":[76,101,137,151],"meta":[77,99,194],"learning,":[78],"coined":[79],"as":[80],"Cake,":[81],"first":[83,121],"learn":[84,144],"generalized":[85],"parameters":[86,163],"source":[88,202],"(i.e.,":[90,104],"relatively":[92],"dense":[93],"modes)":[94],"then":[96],"share":[97],"knowledge":[100],"targets":[103],"more":[105],"sparse":[106,223],"modes),":[107],"which":[108],"significantly":[109,217],"improve":[110],"performance":[113],"sparse.":[116],"achieve":[118],"an":[123],"efficient":[124],"fine-GRAined":[125],"Personalized":[126],"rEcovery":[128],"model":[129],"called":[130],"Grape,":[131],"incorporate":[133],"cross-granularity":[135],"features":[136,177],"coarse-centered":[138],"fine-centered":[140],"subgraph":[141],"learning":[142,195],"intrinsic":[146],"characteristics":[147],"of":[148,167],"auto-correlation":[152],"efficiently.":[153],"Then":[154],"design":[156],"personalized":[158],"memory":[159,173],"store":[161],"diverse":[165],"interests":[166],"groups":[169],"read":[171],"predictor\u2019s":[175],"input":[176],"according":[178],"previous":[181],"learnt":[182],"features.":[183],"At":[184],"last,":[185],"employ":[187],"feature":[189],"reuse":[190],"strategy":[191],"on":[193,209],"iteratively":[197],"make":[198],"adaptions":[199],"target.":[205],"Extensive":[206],"experimental":[207],"results":[208],"real-world":[210],"dataset":[211],"demonstrate":[212],"that":[213],"our":[214],"proposed":[215],"outperforms":[218],"state-of-arts":[220],"modes.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}