{"id":"https://openalex.org/W4220914098","doi":"https://doi.org/10.1109/tcyb.2022.3158697","title":"HSELL-Net: A Heterogeneous Sample Enhancement Network With Lifelong Learning Under Industrial Small Samples","display_name":"HSELL-Net: A Heterogeneous Sample Enhancement Network With Lifelong Learning Under Industrial Small Samples","publication_year":2022,"publication_date":"2022-03-22","ids":{"openalex":"https://openalex.org/W4220914098","doi":"https://doi.org/10.1109/tcyb.2022.3158697","pmid":"https://pubmed.ncbi.nlm.nih.gov/35316207"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3158697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3158697","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5076959560","display_name":"Yifu Ren","orcid":"https://orcid.org/0000-0003-3748-8356"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifu Ren","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729536","display_name":"Jinhai Liu","orcid":"https://orcid.org/0000-0002-1256-1337"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Liu","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101447262","display_name":"Qiannan Wang","orcid":"https://orcid.org/0000-0002-0533-3977"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiannan Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625792","display_name":"Huaguang Zhang","orcid":"https://orcid.org/0000-0002-2375-9824"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaguang Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076959560"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":5.2438,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96012424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"53","issue":"2","first_page":"793","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T12676","display_name":"Machine Learning and ELM","score":0.9970999956130981,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9556000232696533,"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/subnet","display_name":"Subnet","score":0.9426249265670776},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.7128013968467712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636674165725708},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6345946192741394},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6189765930175781},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5695744752883911},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5686478614807129},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.509367823600769},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4917643368244171},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.47272247076034546},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44269320368766785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4041805863380432},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3879905939102173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3777995705604553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1674627661705017},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10872447490692139},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08407807350158691}],"concepts":[{"id":"https://openalex.org/C21099817","wikidata":"https://www.wikidata.org/wiki/Q7631721","display_name":"Subnet","level":2,"score":0.9426249265670776},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.7128013968467712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636674165725708},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6345946192741394},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6189765930175781},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5695744752883911},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5686478614807129},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.509367823600769},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4917643368244171},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.47272247076034546},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44269320368766785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4041805863380432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3879905939102173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3777995705604553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1674627661705017},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10872447490692139},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08407807350158691},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3158697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3158697","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:35316207","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35316207","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1451900309","display_name":null,"funder_award_id":"N2104020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2587347264","display_name":null,"funder_award_id":"U21A20481","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G524500553","display_name":null,"funder_award_id":"61973071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5856693318","display_name":null,"funder_award_id":"XLYC2002046","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2004186751","https://openalex.org/W2096943734","https://openalex.org/W2115403315","https://openalex.org/W2165700458","https://openalex.org/W2738226240","https://openalex.org/W2774636206","https://openalex.org/W2775523681","https://openalex.org/W2790035102","https://openalex.org/W2790068046","https://openalex.org/W2803086989","https://openalex.org/W2804652951","https://openalex.org/W2886256216","https://openalex.org/W2904255843","https://openalex.org/W2904851779","https://openalex.org/W2921700058","https://openalex.org/W2945520991","https://openalex.org/W2949636293","https://openalex.org/W2963018216","https://openalex.org/W2963283377","https://openalex.org/W2963389298","https://openalex.org/W2963465695","https://openalex.org/W2963506806","https://openalex.org/W2964118262","https://openalex.org/W2965316269","https://openalex.org/W2965875348","https://openalex.org/W2971168254","https://openalex.org/W2981682949","https://openalex.org/W3035054804","https://openalex.org/W3046093665","https://openalex.org/W3090427676","https://openalex.org/W3092671425","https://openalex.org/W3097436317","https://openalex.org/W3109180935","https://openalex.org/W3112904546","https://openalex.org/W3115455310","https://openalex.org/W3126794061","https://openalex.org/W3134397144","https://openalex.org/W3199842479","https://openalex.org/W4205137583","https://openalex.org/W4293469339","https://openalex.org/W4319988532","https://openalex.org/W6675865240","https://openalex.org/W6687506355","https://openalex.org/W6732398393","https://openalex.org/W6744787190","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W2102539527","https://openalex.org/W2131631951","https://openalex.org/W2356206668","https://openalex.org/W2130707537","https://openalex.org/W3200778902","https://openalex.org/W1977409556","https://openalex.org/W2361602549","https://openalex.org/W4362683600","https://openalex.org/W2105155969","https://openalex.org/W2390667963"],"abstract_inverted_index":{"Small":[0],"sample":[1,62],"size":[2],"leads":[3],"to":[4,19,46,109,134,151,184],"low":[5],"accuracy":[6,162],"and":[7,87,127,149,155,163,178],"poor":[8],"generalization":[9,164],"of":[10,49,96,157,165],"industrial":[11,36,169,199],"fault":[12,37,50,100,166],"diagnosis":[13,167],"modeling.":[14],"Domain":[15],"adaptation":[16],"(DA)":[17],"attempts":[18],"enhance":[20,111,136,152],"small":[21,112,137,158,170,200],"samples":[22,25,101,133,138,171],"by":[23],"transferring":[24],"in":[26,35,42,77,122],"other":[27,103],"similar":[28],"domains,":[29],"but":[30],"it":[31],"has":[32],"limited":[33],"application":[34,180],"diagnosis,":[38],"since":[39],"the":[40,54,79,88,94,124,141,153,161,186,192,195],"differences":[41],"working":[43,104],"conditions":[44,105],"lead":[45],"large":[47],"variations":[48],"samples.":[51,113,201],"To":[52],"address":[53],"above":[55],"issues,":[56],"this":[57],"article":[58],"proposes":[59],"a":[60,70,115],"heterogeneous":[61,71,81],"enhancement":[63],"network":[64],"with":[65],"lifelong":[66,116],"learning":[67,117],"(HSELL-Net).":[68],"First,":[69],"DA":[72],"subnet":[73,118],"(HDA-subnet)":[74],"is":[75,120],"presented,":[76],"which":[78,123],"designed":[80,89],"supporting":[82],"domain":[83],"ensures":[84],"dimension":[85],"alignment":[86],"distribution":[90,97],"jointly":[91],"matching":[92],"improves":[93],"performance":[95],"matching;":[98],"thus,":[99,160],"from":[102],"can":[106],"be":[107],"employed":[108],"reliably":[110],"Second,":[114],"(LL-subnet)":[119],"designed,":[121],"proposed":[125,187],"Admixup":[126],"shared":[128],"knowledge":[129],"repository":[130],"enable":[131],"incremental":[132],"further":[135],"without":[139],"retraining":[140],"network.":[142],"The":[143],"two":[144],"subnets":[145],"are":[146,172,182],"mutually":[147],"embedded":[148],"reinforced":[150],"number":[154],"types":[156],"samples;":[159],"under":[168,198],"improved.":[173],"Finally,":[174],"benchmark":[175],"simulated":[176],"experiments":[177,181],"real-world":[179],"conducted":[183],"evaluate":[185],"method.":[188],"Experimental":[189],"results":[190],"show":[191],"HSELL-Net":[193],"outperforms":[194],"existing":[196],"works":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
