{"id":"https://openalex.org/W3188349400","doi":"https://doi.org/10.24963/ijcai.2021/360","title":"SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging","display_name":"SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3188349400","doi":"https://doi.org/10.24963/ijcai.2021/360","mag":"3188349400"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/360","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/360","pdf_url":"https://www.ijcai.org/proceedings/2021/0360.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0360.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065497921","display_name":"Ziyu Jia","orcid":"https://orcid.org/0000-0002-8523-1419"},"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":true,"raw_author_name":"Ziyu Jia","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013548083","display_name":"Youfang Lin","orcid":"https://orcid.org/0000-0002-5143-3645"},"institutions":[{"id":"https://openalex.org/I4210117754","display_name":"Chinese Academy of Civil Aviation Science and Technology","ror":"https://ror.org/023zynq23","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210117754"]},{"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 Laboratory of Traffic Data Analysis and Mining, Beijing, China","CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China; CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China; School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","institution_ids":["https://openalex.org/I4210117754"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China; CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China; School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765674","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-1017-2231"},"institutions":[{"id":"https://openalex.org/I4210117754","display_name":"Chinese Academy of Civil Aviation Science and Technology","ror":"https://ror.org/023zynq23","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210117754"]},{"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 Laboratory of Traffic Data Analysis and Mining, Beijing, China","CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China; CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China; School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China","institution_ids":["https://openalex.org/I4210117754"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing, China; CAAC Key Laboratory of Intelligent Passenger Service of Civil Aviation, Beijing, China; School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101673665","display_name":"Xuehui Wang","orcid":"https://orcid.org/0000-0001-9577-3951"},"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":"Xuehui Wang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology Beijing, Jiaotong University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology Beijing, Jiaotong University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103022000","display_name":"Peiyi Xie","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":"Peiyi Xie","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology Beijing, Jiaotong University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology Beijing, Jiaotong University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007376393","display_name":"Zhang Yingbin","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":"Yingbin Zhang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology Beijing, Jiaotong University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology Beijing, Jiaotong University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065497921"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":9.4986,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.98977501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2614","last_page":"2620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9725000262260437,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9725000262260437,"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"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10985","display_name":"Sleep and Wakefulness Research","score":0.9575999975204468,"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/computer-science","display_name":"Computer science","score":0.7470937371253967},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7063700556755066},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5798985958099365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5574366450309753},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5481177568435669},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.4922305643558502},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4338582456111908},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42145973443984985},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42120468616485596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3767556846141815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35547199845314026},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.19519272446632385},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.1165304183959961},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10964003205299377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470937371253967},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7063700556755066},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5798985958099365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5574366450309753},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5481177568435669},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.4922305643558502},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4338582456111908},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42145973443984985},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42120468616485596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3767556846141815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35547199845314026},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.19519272446632385},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.1165304183959961},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10964003205299377},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/360","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/360","pdf_url":"https://www.ijcai.org/proceedings/2021/0360.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/360","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/360","pdf_url":"https://www.ijcai.org/proceedings/2021/0360.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G6074393467","display_name":null,"funder_award_id":"202007090056","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7440902050","display_name":null,"funder_award_id":"2020YJS025","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3188349400.pdf","grobid_xml":"https://content.openalex.org/works/W3188349400.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2004093153","https://openalex.org/W2008056655","https://openalex.org/W2144691514","https://openalex.org/W2194775991","https://openalex.org/W2482168716","https://openalex.org/W2604096629","https://openalex.org/W2736245719","https://openalex.org/W2792764867","https://openalex.org/W2893892260","https://openalex.org/W2920016582","https://openalex.org/W2922255081","https://openalex.org/W2941679862","https://openalex.org/W2963840672","https://openalex.org/W2981654920","https://openalex.org/W3025800305","https://openalex.org/W3033188742","https://openalex.org/W3034369844","https://openalex.org/W3035284915","https://openalex.org/W3040939498","https://openalex.org/W3082394918","https://openalex.org/W3093125198","https://openalex.org/W3102775179","https://openalex.org/W3126835162","https://openalex.org/W3159541278","https://openalex.org/W4309845474"],"related_works":["https://openalex.org/W3121188996","https://openalex.org/W4308561096","https://openalex.org/W3200508116","https://openalex.org/W3011076523","https://openalex.org/W2136162213","https://openalex.org/W2376497661","https://openalex.org/W2319810220","https://openalex.org/W2424678138","https://openalex.org/W2991581874","https://openalex.org/W2324099496"],"abstract_inverted_index":{"Sleep":[0],"staging":[1],"is":[2,80,92,103,125,140,168],"fundamental":[3],"for":[4,59,75,95,150],"sleep":[5,15,35,46,60,76,133,153],"assessment":[6],"and":[7],"disease":[8],"diagnosis.":[9],"Although":[10],"previous":[11],"attempts":[12],"to":[13,28,39,50,111,127,142],"classify":[14],"stages":[16],"have":[17],"achieved":[18],"high":[19],"classification":[20],"performance,":[21],"several":[22],"challenges":[23],"remain":[24],"open:":[25],"1)":[26],"How":[27,38,49],"effectively":[29],"extract":[30,112],"salient":[31,71,96,114],"waves":[32],"in":[33,99],"multimodal":[34,70,117,137,148],"data;":[36],"2)":[37],"capture":[40,128,144],"the":[41,53,88,113,121,136,151,157,164,175,182],"multi-scale":[42,122,129],"transition":[43,130],"rules":[44,131],"among":[45,132],"stages;":[47],"3)":[48],"adaptively":[51,143],"seize":[52],"key":[54],"role":[55],"of":[56,106,178],"specific":[57,152],"modality":[58],"staging.":[61,77],"To":[62],"address":[63],"these":[64],"challenges,":[65],"we":[66],"propose":[67],"SalientSleepNet,":[68],"a":[69,81],"wave":[72],"detection":[73,98],"network":[74,85,186],"Specifically,":[78],"SalientSleepNet":[79,162],"temporal":[82],"fully":[83],"convolutional":[84],"based":[86],"on":[87,156],"$U^2$-Net":[89],"architecture":[90],"that":[91,161,171],"originally":[93],"proposed":[94,141],"object":[97],"computer":[100],"vision.":[101],"It":[102,167],"mainly":[104],"composed":[105],"two":[107,158],"independent":[108],"$U^2$-like":[109],"streams":[110],"features":[115],"from":[116,147],"data,":[118],"respectively.":[119],"Meanwhile,":[120],"extraction":[123],"module":[124,139],"designed":[126],"stages.":[134],"Besides,":[135],"attention":[138],"valuable":[145],"information":[146],"data":[149],"stage.":[154],"Experiments":[155],"datasets":[159],"demonstrate":[160],"outperforms":[163],"state-of-the-art":[165],"baselines.":[166],"worth":[169],"noting":[170],"this":[172],"model":[173],"has":[174],"least":[176],"amount":[177],"parameters":[179],"compared":[180],"with":[181],"existing":[183],"deep":[184],"neural":[185],"models.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":6}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}