{"id":"https://openalex.org/W4324266608","doi":"https://doi.org/10.1145/3579654.3579726","title":"Contrast-Teacher-Student(CTS): A novel Semi-supervised Learning Approach for Sleep Staging","display_name":"Contrast-Teacher-Student(CTS): A novel Semi-supervised Learning Approach for Sleep Staging","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4324266608","doi":"https://doi.org/10.1145/3579654.3579726"},"language":"en","primary_location":{"id":"doi:10.1145/3579654.3579726","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579654.3579726","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579654.3579726","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3579654.3579726","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101398253","display_name":"Yang Feng","orcid":"https://orcid.org/0000-0001-7362-9844"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Feng","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-7362-9844","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023861089","display_name":"Xianwen Tang","orcid":"https://orcid.org/0000-0003-2564-1480"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwen Tang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0003-2564-1480","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090665476","display_name":"Xingjun Wang","orcid":"https://orcid.org/0000-0001-7426-7937"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingjun Wang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-7426-7937","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101461287","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0001-7890-311X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-7890-311X","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38410596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9394000172615051,"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/contrast","display_name":"Contrast (vision)","score":0.8171494007110596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294188737869263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6306415796279907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5985340476036072},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5797366499900818},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5552741289138794},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.49987053871154785},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4746597111225128},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41248786449432373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3345937132835388},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09748944640159607}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8171494007110596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294188737869263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6306415796279907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5985340476036072},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5797366499900818},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5552741289138794},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.49987053871154785},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4746597111225128},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41248786449432373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3345937132835388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09748944640159607},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3579654.3579726","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579654.3579726","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579654.3579726","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3579654.3579726","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579654.3579726","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579654.3579726","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2175934847","display_name":null,"funder_award_id":"KCXFZ 202002011010487","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"}],"funders":[{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324266608.pdf","grobid_xml":"https://content.openalex.org/works/W4324266608.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1975165783","https://openalex.org/W2144691514","https://openalex.org/W2194775991","https://openalex.org/W2431080869","https://openalex.org/W2604096629","https://openalex.org/W3035160371","https://openalex.org/W3082394918","https://openalex.org/W3188349400","https://openalex.org/W3204140421","https://openalex.org/W4236879926"],"related_works":["https://openalex.org/W34092691","https://openalex.org/W4312414840","https://openalex.org/W2794908468","https://openalex.org/W4206276646","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W101422005","https://openalex.org/W192740413","https://openalex.org/W4300902524","https://openalex.org/W3004135598"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,53,89],"(SSL)":[2],"can":[3],"work":[4],"well":[5],"with":[6,73],"limited":[7],"labeled":[8,79],"data":[9,27],"and":[10,81],"enormous":[11],"unlabeled":[12],"data.":[13],"It":[14],"is":[15,28,33,60],"suitable":[16],"for":[17,55],"areas":[18],"such":[19],"as":[20],"medical":[21],"treatment":[22],"or":[23],"biological":[24],"research,":[25],"whose":[26],"sufficient":[29],"but":[30],"the":[31,63,85,92],"label":[32],"high-cost.":[34],"Unfortunately,":[35],"few":[36],"researchers":[37],"are":[38],"doing":[39],"relevant":[40],"studies.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"propose":[46],"Contrast-Teacher-":[47],"Student(CTS)":[48],"model,":[49],"a":[50,75],"novel":[51],"semi-supervised":[52,88],"approach":[54],"physiological":[56],"signal":[57],"processing":[58],"which":[59],"important":[61],"in":[62],"diagnosis":[64],"of":[65,78],"some":[66],"diseases.":[67],"Our":[68],"method":[69,83],"achieves":[70],"good":[71],"performance":[72],"only":[74],"small":[76],"amount":[77],"data,":[80],"our":[82],"outperforms":[84],"current":[86],"mainstream":[87],"methods":[90],"on":[91],"public":[93],"dataset.":[94]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
