{"id":"https://openalex.org/W4401980955","doi":"https://doi.org/10.1109/tnnls.2024.3445879","title":"A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification","display_name":"A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4401980955","doi":"https://doi.org/10.1109/tnnls.2024.3445879","pmid":"https://pubmed.ncbi.nlm.nih.gov/39196734"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3445879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3445879","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5019284302","display_name":"Wenmian Yang","orcid":"https://orcid.org/0000-0001-8493-4449"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenmian Yang","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University (BNU), Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University (BNU), Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077808211","display_name":"Lizhi Cheng","orcid":"https://orcid.org/0000-0002-1672-0358"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Cheng","raw_affiliation_strings":["China Telecom Cloud Technology Company Ltd., Shanghai, China","China Telecom Cloud Technology Company Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"China Telecom Cloud Technology Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4210144487"]},{"raw_affiliation_string":"China Telecom Cloud Technology Company Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030466993","display_name":"Mohamed Ragab","orcid":"https://orcid.org/0000-0002-2138-4395"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohamed Ragab","raw_affiliation_strings":["Technology and Research, Institute for Infocomm Research (I2R), Agency for Science, Fusionopolis, Singapore","Agency for Science, Technology and Research, Institute for Infocomm Research (I2R), Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Technology and Research, Institute for Infocomm Research (I2R), Agency for Science, Fusionopolis, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Agency for Science, Technology and Research, Institute for Infocomm Research (I2R), Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340964","display_name":"Min Wu","orcid":"https://orcid.org/0000-0003-0977-3600"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["Technology and Research, Institute for Infocomm Research (I2R), Agency for Science, Fusionopolis, Singapore","Agency for Science, Technology and Research, Institute for Infocomm Research (I2R), Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Technology and Research, Institute for Infocomm Research (I2R), Agency for Science, Fusionopolis, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Agency for Science, Technology and Research, Institute for Infocomm Research (I2R), Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082984558","display_name":"Sinno Jialin Pan","orcid":"https://orcid.org/0000-0001-6565-3836"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sinno Jialin Pan","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), Shatin, NT, Hong Kong","Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080343454","display_name":"Zhenghua Chen","orcid":"https://orcid.org/0000-0002-1719-0328"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhenghua Chen","raw_affiliation_strings":["Technology and Research, Institute for Infocomm Research (I2R), Agency for Science, Fusionopolis, Singapore","Agency for Science, Technology and Research, Institute for Infocomm Research (I2R), Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Technology and Research, Institute for Infocomm Research (I2R), Agency for Science, Fusionopolis, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Agency for Science, Technology and Research, Institute for Infocomm Research (I2R), Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019284302"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.9685,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75770423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"36","issue":"6","first_page":"11456","last_page":"11465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.7849000096321106,"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"}},"topics":[{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.7849000096321106,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.7639999985694885,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.7350000143051147,"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/domain-adaptation","display_name":"Domain adaptation","score":0.6701096296310425},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6578383445739746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5905460715293884},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5551881790161133},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5030056834220886},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4325333535671234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3579477071762085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35008692741394043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.347541868686676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22294408082962036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2138393521308899},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10356539487838745},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06457489728927612}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6701096296310425},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6578383445739746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5905460715293884},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5551881790161133},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5030056834220886},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4325333535671234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3579477071762085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35008692741394043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.347541868686676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22294408082962036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2138393521308899},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10356539487838745},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06457489728927612},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3445879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3445879","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39196734","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39196734","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8114555920","display_name":null,"funder_award_id":"C210112046","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2017634428","https://openalex.org/W2057907879","https://openalex.org/W2115403315","https://openalex.org/W2165698076","https://openalex.org/W2584886900","https://openalex.org/W2593768305","https://openalex.org/W2964288524","https://openalex.org/W2964762837","https://openalex.org/W2965006690","https://openalex.org/W2998083796","https://openalex.org/W2998115938","https://openalex.org/W3013850939","https://openalex.org/W3021632667","https://openalex.org/W3080108946","https://openalex.org/W3115533775","https://openalex.org/W3158818505","https://openalex.org/W3164845984","https://openalex.org/W3165396901","https://openalex.org/W3174812227","https://openalex.org/W3188188945","https://openalex.org/W3188906063","https://openalex.org/W3193861091","https://openalex.org/W3198543070","https://openalex.org/W3211685201","https://openalex.org/W3216338701","https://openalex.org/W3217693365","https://openalex.org/W3217767527","https://openalex.org/W4221138878","https://openalex.org/W4283644197","https://openalex.org/W4297068198","https://openalex.org/W4382464026","https://openalex.org/W4383750504","https://openalex.org/W4385245566","https://openalex.org/W6605479355","https://openalex.org/W6633949838","https://openalex.org/W6638733343","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6697673422","https://openalex.org/W6735050833","https://openalex.org/W6743095615","https://openalex.org/W6748312029","https://openalex.org/W6750109254","https://openalex.org/W6803181142","https://openalex.org/W6849341901"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2622688551","https://openalex.org/W2997645659","https://openalex.org/W1550175370","https://openalex.org/W3180787869","https://openalex.org/W1990205660","https://openalex.org/W3203792196"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,31,70],"adaptation":[2,71],"(UDA)":[3],"is":[4],"becoming":[5],"a":[6,66],"prominent":[7],"solution":[8],"for":[9,53,74],"the":[10,30,58,81,91,100,107,135,144],"domain-shift":[11],"problem":[12],"in":[13,34],"many":[14],"time-series":[15,21,75,83,112,114,131,137,165],"classification":[16],"tasks.":[17],"With":[18,99],"sequence":[19,121,125,129],"properties,":[20],"data":[22,84],"contain":[23],"both":[24,35],"local":[25,97,123,127,145],"and":[26,29,85,126,147],"sequential":[27,148],"features,":[28],"shift":[32],"exists":[33],"features.":[36],"However,":[37],"conventional":[38],"UDA":[39,138],"methods":[40],"usually":[41],"cannot":[42],"distinguish":[43],"those":[44],"two":[45,117,141],"features":[46,146,149],"but":[47],"mix":[48],"them":[49],"into":[50,116,140],"one":[51],"variable":[52],"direct":[54],"alignment,":[55],"which":[56],"harms":[57],"performance.":[59],"To":[60],"address":[61],"this":[62],"problem,":[63],"we":[64,78,105],"propose":[65],"novel":[67],"virtual-label-based":[68],"hierarchical":[69],"(VLH-DA)":[72],"approach":[73],"classification.":[76],"Specifically,":[77],"first":[79],"slice":[80,95],"original":[82],"introduce":[86],"virtual":[87,103],"labels":[88],"to":[89,111,122,130,157],"represent":[90],"type":[92],"of":[93,102],"each":[94],"(called":[96],"patterns).":[98],"help":[101],"labels,":[104],"decompose":[106],"end-to-end":[108],"(i.e.,":[109],"signal":[110,120],"label)":[113],"task":[115,139],"parts,":[118],"i.e.,":[119],"pattern":[124,128],"label.":[132],"By":[133],"decomposing":[134],"complex":[136],"simpler":[142],"subtasks,":[143],"can":[150],"be":[151],"aligned":[152],"separately,":[153],"making":[154],"it":[155],"easier":[156],"mitigate":[158],"distribution":[159],"discrepancies.":[160],"Experiments":[161],"on":[162],"four":[163],"public":[164],"datasets":[166],"demonstrate":[167],"that":[168],"our":[169],"VLH-DA":[170],"outperforms":[171],"all":[172],"state-of-the-art":[173],"(SOTA)":[174],"methods.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
