{"id":"https://openalex.org/W4385973811","doi":"https://doi.org/10.1109/lsp.2023.3306612","title":"Multi-View Consistency Contrastive Learning With Hard Positives for Sleep Signals","display_name":"Multi-View Consistency Contrastive Learning With Hard Positives for Sleep Signals","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385973811","doi":"https://doi.org/10.1109/lsp.2023.3306612"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3306612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3306612","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5051753594","display_name":"Jiaoxue Deng","orcid":"https://orcid.org/0000-0003-1850-7654"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaoxue Deng","raw_affiliation_strings":["Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1850-7654","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790320","display_name":"Youfang Lin","orcid":"https://orcid.org/0000-0002-1611-4323"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youfang Lin","raw_affiliation_strings":["Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1611-4323","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088768677","display_name":"Xiyuan Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Jin","raw_affiliation_strings":["Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2101-188X","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008632096","display_name":"Xiaojun Ning","orcid":"https://orcid.org/0000-0002-3668-2950"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Ning","raw_affiliation_strings":["Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3668-2950","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765674","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-1017-2231"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1017-2231","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University and CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.5477,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63353345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"1102","last_page":"1106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7815808057785034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7647240161895752},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7392568588256836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647283673286438},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6044126152992249},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5940755009651184},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5612678527832031},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.552384078502655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5239598751068115},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.443726122379303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4366689622402191},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4255702495574951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13736554980278015},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11765751242637634}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7815808057785034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647240161895752},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7392568588256836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647283673286438},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6044126152992249},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5940755009651184},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5612678527832031},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.552384078502655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5239598751068115},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.443726122379303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4366689622402191},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4255702495574951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13736554980278015},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11765751242637634},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3306612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3306612","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G4739588433","display_name":null,"funder_award_id":"2023JBMC056","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2008056655","https://openalex.org/W2144691514","https://openalex.org/W2172894528","https://openalex.org/W2551393996","https://openalex.org/W2893892260","https://openalex.org/W3005680577","https://openalex.org/W3035333188","https://openalex.org/W3035524453","https://openalex.org/W3040939498","https://openalex.org/W3082394918","https://openalex.org/W3090114880","https://openalex.org/W3161980230","https://openalex.org/W3168316785","https://openalex.org/W3169978599","https://openalex.org/W3188349400","https://openalex.org/W3188982020","https://openalex.org/W3190152617","https://openalex.org/W3205486398","https://openalex.org/W3217299532","https://openalex.org/W4283207721","https://openalex.org/W4284968770","https://openalex.org/W4290713716","https://openalex.org/W4297808394","https://openalex.org/W4301372783","https://openalex.org/W4312503035","https://openalex.org/W6774314701","https://openalex.org/W6783961830","https://openalex.org/W6783990618","https://openalex.org/W6838895826","https://openalex.org/W6841429325","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W1557094818","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W3187599676"],"abstract_inverted_index":{"Contrastive":[0,111],"learning":[1,113],"has":[2],"successfully":[3],"addressed":[4],"the":[5,13,37,50,65,89],"scarcity":[6],"of":[7,39,52,68,102],"large-scale":[8],"labeled":[9],"datasets,":[10],"especially":[11],"in":[12,60],"physiological":[14,77],"time":[15],"series":[16],"field.":[17],"Existing":[18],"methods":[19],"construct":[20],"easy":[21],"positive":[22,41,84],"pairs":[23],"as":[24],"substitutes":[25],"for":[26],"ground":[27],"truth":[28],"based":[29,87],"on":[30,75,88,130,145],"temporal":[31,119],"dynamics":[32,120],"or":[33],"instance":[34],"consistency.":[35,91],"Despite":[36],"potential":[38],"hard":[40,83],"samples":[42],"to":[43,99,115],"provide":[44],"richer":[45],"gradient":[46],"information":[47],"and":[48,79,121,134,142,147],"facilitate":[49],"acquisition":[51],"more":[53],"discriminative":[54],"representations,":[55],"they":[56],"are":[57,94],"frequently":[58],"overlooked":[59],"sampling":[61,85],"strategies,":[62],"thus":[63],"constraining":[64],"classification":[66],"capacity":[67],"models.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,106],"focus":[74],"multi-view":[76],"signals":[78,93],"propose":[80,107],"a":[81,108],"novel":[82],"strategy":[86],"view":[90],"Multi-view":[92],"recorded":[95],"from":[96],"sensors":[97],"attached":[98],"different":[100],"organs":[101],"human":[103],"body.":[104],"Additionally,":[105],"Multi-View":[109],"Consistency":[110],"(MVCC)":[112],"framework":[114],"jointly":[116],"extract":[117],"intra-view":[118],"inter-view":[122],"consistency":[123],"features.":[124],"Experiments":[125],"have":[126],"been":[127],"carried":[128],"out":[129],"two":[131],"public":[132],"datasets":[133],"our":[135],"method":[136],"demonstrates":[137],"state-of-the-art":[138],"performance,":[139],"achieving":[140],"83.25%":[141],"73.37%":[143],"accuracy":[144],"SleepEDF":[146],"ISRUC,":[148],"respectively.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
