{"id":"https://openalex.org/W4285504878","doi":"https://doi.org/10.1109/tnnls.2022.3189239","title":"Autoencoder in Autoencoder Networks","display_name":"Autoencoder in Autoencoder Networks","publication_year":2022,"publication_date":"2022-07-15","ids":{"openalex":"https://openalex.org/W4285504878","doi":"https://doi.org/10.1109/tnnls.2022.3189239","pmid":"https://pubmed.ncbi.nlm.nih.gov/35839199"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3189239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3189239","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/A5100604565","display_name":"Changqing Zhang","orcid":"https://orcid.org/0000-0001-9779-705X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Machine Learning and the College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9779-705X","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Machine Learning and the College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009893012","display_name":"Yu Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Geng","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021826475","display_name":"Zongbo Han","orcid":"https://orcid.org/0000-0001-8272-726X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongbo Han","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017712404","display_name":"Yeqing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeqing Liu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"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/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-9702-5524","affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3004594783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056686459","display_name":"Qinghua Hu","orcid":"https://orcid.org/0000-0001-7765-8095"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Hu","raw_affiliation_strings":["Tianjin Key Laboratory of Machine Learning and the College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7765-8095","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Machine Learning and the College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3203,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.93882628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"2","first_page":"2263","last_page":"2275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9606729745864868},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7567178010940552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170006036758423},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5996504426002502},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5931904911994934},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5929398536682129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5904999375343323},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5653388500213623},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.499586820602417},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45849478244781494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41952788829803467},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4151188135147095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3575935959815979}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9606729745864868},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7567178010940552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170006036758423},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5996504426002502},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5931904911994934},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5929398536682129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5904999375343323},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5653388500213623},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.499586820602417},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45849478244781494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41952788829803467},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4151188135147095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3575935959815979},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3189239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3189239","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:35839199","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35839199","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/G2561744925","display_name":null,"funder_award_id":"61976151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2845151781","display_name":null,"funder_award_id":"19JCYBJC15200","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G4013770026","display_name":null,"funder_award_id":"61925602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4443184581","display_name":null,"funder_award_id":"2019YFB2101900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6813436119","display_name":null,"funder_award_id":"61732011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1497960466","https://openalex.org/W1622484071","https://openalex.org/W1902027874","https://openalex.org/W1907775068","https://openalex.org/W1959608418","https://openalex.org/W1970055505","https://openalex.org/W1981399499","https://openalex.org/W2012921801","https://openalex.org/W2014418634","https://openalex.org/W2024051019","https://openalex.org/W2030899956","https://openalex.org/W2061272711","https://openalex.org/W2098979973","https://openalex.org/W2108433027","https://openalex.org/W2110798204","https://openalex.org/W2129191055","https://openalex.org/W2142674578","https://openalex.org/W2187089797","https://openalex.org/W2199534117","https://openalex.org/W2341848976","https://openalex.org/W2398118205","https://openalex.org/W2399260173","https://openalex.org/W2411855254","https://openalex.org/W2428757121","https://openalex.org/W2551492216","https://openalex.org/W2605146283","https://openalex.org/W2622563070","https://openalex.org/W2739444023","https://openalex.org/W2752197020","https://openalex.org/W2753064086","https://openalex.org/W2766736793","https://openalex.org/W2808646376","https://openalex.org/W2884277568","https://openalex.org/W2898233200","https://openalex.org/W2921065608","https://openalex.org/W2963764569","https://openalex.org/W2997574889","https://openalex.org/W3097263153","https://openalex.org/W3102647957","https://openalex.org/W3128355817","https://openalex.org/W3149375329","https://openalex.org/W3150563247","https://openalex.org/W3210338549","https://openalex.org/W4221166681","https://openalex.org/W4230005465","https://openalex.org/W4237723258","https://openalex.org/W4293568373","https://openalex.org/W6600650022","https://openalex.org/W6606244218","https://openalex.org/W6629823275","https://openalex.org/W6631216910","https://openalex.org/W6639103823","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6679376003","https://openalex.org/W6681096077","https://openalex.org/W6682991666","https://openalex.org/W6683255826","https://openalex.org/W6686207219","https://openalex.org/W6738560588","https://openalex.org/W6748455135","https://openalex.org/W6754821620","https://openalex.org/W6767441326","https://openalex.org/W6780248173","https://openalex.org/W6793156980"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W3163146846"],"abstract_inverted_index":{"Modeling":[0],"complex":[1],"correlations":[2],"on":[3,131],"multiview":[4,25],"data":[5,45],"is":[6],"still":[7],"challenging,":[8],"especially":[9],"for":[10],"high-dimensional":[11,43,113],"features":[12,115],"with":[13,52],"possible":[14],"noise.":[15],"To":[16],"address":[17],"this":[18,79],"issue,":[19],"we":[20,96],"propose":[21],"a":[22,47,87,99,126],"novel":[23],"unsupervised":[24],"representation":[26,51,89],"learning":[27],"(UMRL)":[28],"algorithm,":[29],"termed":[30],"autoencoder":[31,33],"in":[32,64,125],"networks":[34],"(AE2-Nets).":[35],"The":[36,108],"proposed":[37,54,60],"framework":[38],"effectively":[39],"encodes":[40,120],"information":[41,72,82],"from":[42,83,104],"heterogeneous":[44],"into":[46,86],"compact":[48],"and":[49,102,119],"informative":[50],"the":[53,59,67,76,93,135,139],"bidirectional":[55],"encoding":[56,63],"strategy.":[57],"Specifically,":[58],"AE2-Nets":[61],"conduct":[62],"two":[65],"directions:":[66],"inner-AE-networks":[68],"extract":[69],"view-specific":[70,80],"intrinsic":[71,81],"(forward":[73],"encoding),":[74],"while":[75],"outer-AE-networks":[77],"integrate":[78],"different":[84],"views":[85,124],"latent":[88],"(backward":[90],"encoding).":[91],"For":[92],"nested":[94],"architecture,":[95],"further":[97],"provide":[98],"probabilistic":[100],"explanation":[101],"extension":[103],"hierarchical":[105],"variational":[106],"autoencoder.":[107],"forward-backward":[109],"strategy":[110],"flexibly":[111],"addresses":[112],"(noisy)":[114],"within":[116],"each":[117],"view":[118],"complementarity":[121],"across":[122],"multiple":[123],"unified":[127],"framework.":[128],"Extensive":[129],"results":[130],"benchmark":[132],"datasets":[133],"validate":[134],"advantages":[136],"compared":[137],"to":[138],"state-of-the-art":[140],"algorithms.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}