{"id":"https://openalex.org/W4411446327","doi":"https://doi.org/10.1109/tii.2025.3575137","title":"A Semantic Transferable Feature Extraction Strategy for Cross-Domain Detection","display_name":"A Semantic Transferable Feature Extraction Strategy for Cross-Domain Detection","publication_year":2025,"publication_date":"2025-06-19","ids":{"openalex":"https://openalex.org/W4411446327","doi":"https://doi.org/10.1109/tii.2025.3575137"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3575137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3575137","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5013942139","display_name":"Siyu Zhang","orcid":"https://orcid.org/0000-0003-1142-8275"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siyu Zhang","raw_affiliation_strings":["National Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103097147","display_name":"Lei Su","orcid":"https://orcid.org/0000-0003-2093-6028"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Su","raw_affiliation_strings":["Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Intelligent Manufacturing, Junyuan School, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Intelligent Manufacturing, Junyuan School, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101407939","display_name":"Ke Li","orcid":"https://orcid.org/0000-0003-3481-3272"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Intelligent Manufacturing, Junyuan School, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Intelligent Manufacturing, Junyuan School, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027458615","display_name":"Fucai Li","orcid":"https://orcid.org/0000-0002-5365-2593"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fucai Li","raw_affiliation_strings":["National Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013942139"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.0965,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91449293,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"21","issue":"10","first_page":"7392","last_page":"7402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.48539999127388,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.48539999127388,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.41620001196861267,"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/computer-science","display_name":"Computer science","score":0.6907725930213928},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6689186692237854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255797505378723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45718926191329956},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4515572488307953},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42172181606292725},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.41789424419403076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33050644397735596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13721436262130737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907725930213928},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6689186692237854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255797505378723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45718926191329956},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4515572488307953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42172181606292725},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.41789424419403076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33050644397735596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13721436262130737},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3575137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3575137","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1473678675","display_name":null,"funder_award_id":"U23B2044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2490399844","display_name":null,"funder_award_id":"52175096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2751504961","display_name":null,"funder_award_id":"2024M751966","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4964747077","display_name":null,"funder_award_id":"52175104","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2962687275","https://openalex.org/W2963107255","https://openalex.org/W2986381065","https://openalex.org/W2994615081","https://openalex.org/W3169879351","https://openalex.org/W3171297660","https://openalex.org/W3178697618","https://openalex.org/W4211242271","https://openalex.org/W4226087081","https://openalex.org/W4290991264","https://openalex.org/W4311344247","https://openalex.org/W4313413180","https://openalex.org/W4386404700","https://openalex.org/W4386608798","https://openalex.org/W4387363540","https://openalex.org/W4390575651","https://openalex.org/W4392133341","https://openalex.org/W4392309508","https://openalex.org/W4393188562","https://openalex.org/W4399779866","https://openalex.org/W4400483218","https://openalex.org/W4404409442","https://openalex.org/W4406094312","https://openalex.org/W4406857460"],"related_works":["https://openalex.org/W2364155688","https://openalex.org/W2046522763","https://openalex.org/W2366916257","https://openalex.org/W2375847997","https://openalex.org/W2072836406","https://openalex.org/W2391772185","https://openalex.org/W2061641547","https://openalex.org/W2355099127","https://openalex.org/W2361892564","https://openalex.org/W1847280318"],"abstract_inverted_index":{"Surface":[0],"defect":[1,53,106,201],"detection":[2,16,198,220],"is":[3,62,121,163,182],"important":[4],"for":[5,39,219],"ensuring":[6],"industrial":[7],"manufacturing":[8],"quality.":[9],"Convolutional":[10],"neural":[11],"networks":[12],"significantly":[13],"improve":[14],"the":[15,48,52,73,77,81,92,98,102,139,152,167,174,193,214],"performance.":[17],"However,":[18],"surface":[19],"defects":[20],"exhibit":[21],"significant":[22],"differences":[23],"in":[24],"appearance":[25,54],"and":[26,109,169,196],"background":[27],"due":[28],"to":[29,66,83,115,126,141,151,165],"complex":[30],"working":[31],"conditions.":[32],"Traditional":[33],"deep":[34],"models":[35],"show":[36],"limited":[37],"generalization":[38],"domain":[40,49,58],"shift":[41,50],"caused":[42,145],"by":[43,146,180],"data":[44,107],"differences.":[45],"To":[46,149],"address":[47],"from":[51],"change,":[55],"a":[56,85,117,135,158],"task-oriented":[57],"confusion":[59],"network":[60,82,140],"(TDCN)":[61],"developed,":[63],"which":[64,120,184],"attempts":[65],"explicitly":[67],"link":[68],"its":[69],"parameter":[70,175],"structure":[71],"with":[72,222],"structural":[74],"feature":[75,94,159],"of":[76,101,138,200],"target":[78,103],"data,":[79],"guiding":[80],"form":[84],"transferable":[86],"causal":[87,132,189],"mapping":[88],"system,":[89],"so":[90],"that":[91,210],"solved":[93],"can":[95],"uniquely":[96],"represent":[97],"intrinsic":[99],"information":[100],"data.":[104,224],"Specifically,":[105],"generation":[108],"inverse":[110],"solution":[111],"methods":[112],"are":[113],"studied":[114],"establish":[116],"feature-recoding":[118],"strategy,":[119],"used":[122],"as":[123],"prior":[124],"knowledge":[125],"drive":[127],"an":[128,187],"adversarial":[129],"function,":[130],"transforming":[131],"estimation":[133,190],"into":[134],"Nash":[136,156],"equilibrium":[137],"eliminate":[142],"noise":[143],"bias":[144],"hard-to-transfer":[147],"features.":[148,172],"respond":[150],"model":[153],"deviation":[154],"under":[155],"equilibrium,":[157],"semantic":[160,171],"storage":[161],"dictionary":[162],"established":[164],"align":[166],"local":[168],"global":[170],"Ultimately,":[173],"gradient":[176],"evolution":[177],"logic":[178],"guided":[179],"classification":[181],"studied,":[183],"adaptively":[185],"fits":[186],"unbiased":[188],"model,":[191],"improving":[192],"transfer":[194],"stability":[195],"cross-domain":[197],"accuracy":[199],"features":[202],"between":[203],"multiple":[204],"environments.":[205],"Extensive":[206],"experiments":[207],"have":[208],"proved":[209],"our":[211],"TDCN":[212],"outperforms":[213],"most":[215],"state-of-the-art":[216],"methods,":[217],"especially":[218],"tasks":[221],"scarce":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}