{"id":"https://openalex.org/W2604415738","doi":"https://doi.org/10.1109/tnnls.2017.2753852","title":"Transductive Zero-Shot Learning With Adaptive Structural Embedding","display_name":"Transductive Zero-Shot Learning With Adaptive Structural Embedding","publication_year":2017,"publication_date":"2017-10-12","ids":{"openalex":"https://openalex.org/W2604415738","doi":"https://doi.org/10.1109/tnnls.2017.2753852","mag":"2604415738","pmid":"https://pubmed.ncbi.nlm.nih.gov/29035229"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2017.2753852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2753852","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/A5100722511","display_name":"Yunlong Yu","orcid":"https://orcid.org/0000-0002-0294-2099"},"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":"Yunlong Yu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005367680","display_name":"Zhong Ji","orcid":"https://orcid.org/0000-0002-2197-3739"},"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":"Zhong Ji","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-2197-3739","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445482","display_name":"Jichang Guo","orcid":"https://orcid.org/0000-0003-3130-1685"},"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":"Jichang Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086887025","display_name":"Yanwei Pang","orcid":"https://orcid.org/0000-0001-6670-3727"},"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":"Yanwei Pang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6670-3727","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":4.9845,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96129236,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"29","issue":"9","first_page":"4116","last_page":"4127"},"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":0.9979000091552734,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9358999729156494,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.7067214250564575},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6638187766075134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5329861044883728},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5072057247161865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43284425139427185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3767617344856262},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3326566815376282},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13469550013542175},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07095164060592651}],"concepts":[{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.7067214250564575},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6638187766075134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5329861044883728},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5072057247161865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43284425139427185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3767617344856262},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3326566815376282},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13469550013542175},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07095164060592651},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2017.2753852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2753852","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:29035229","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29035229","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/G3732680637","display_name":"\u6df1\u5ea6\u89c6\u89c9\u96f6\u6837\u672c\u5b66\u4e60\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61771329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7722501602","display_name":"\u9762\u5411\u7f51\u7edc\u591a\u89c6\u9891\u6458\u8981\u7684\u5173\u8054\u5b66\u4e60\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61472273","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W331145617","https://openalex.org/W652269744","https://openalex.org/W1492420801","https://openalex.org/W1596905899","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1805946669","https://openalex.org/W1960364170","https://openalex.org/W1981658663","https://openalex.org/W2005285092","https://openalex.org/W2041280778","https://openalex.org/W2044913453","https://openalex.org/W2098411764","https://openalex.org/W2100913937","https://openalex.org/W2104068492","https://openalex.org/W2105842272","https://openalex.org/W2109317801","https://openalex.org/W2121238376","https://openalex.org/W2123024445","https://openalex.org/W2124033848","https://openalex.org/W2131953535","https://openalex.org/W2132984949","https://openalex.org/W2134270519","https://openalex.org/W2137853299","https://openalex.org/W2141350700","https://openalex.org/W2141357020","https://openalex.org/W2151575489","https://openalex.org/W2153579005","https://openalex.org/W2157032868","https://openalex.org/W2160039895","https://openalex.org/W2163345210","https://openalex.org/W2209594346","https://openalex.org/W2250539671","https://openalex.org/W2289084343","https://openalex.org/W2296073425","https://openalex.org/W2307425316","https://openalex.org/W2334493732","https://openalex.org/W2346746376","https://openalex.org/W2405223529","https://openalex.org/W2463762378","https://openalex.org/W2494196141","https://openalex.org/W2514265125","https://openalex.org/W2520613337","https://openalex.org/W2535579023","https://openalex.org/W2559832977","https://openalex.org/W2787523326","https://openalex.org/W2925201588","https://openalex.org/W2962714319","https://openalex.org/W2962830213","https://openalex.org/W2963325024","https://openalex.org/W2963955958","https://openalex.org/W2964086552","https://openalex.org/W3100093508","https://openalex.org/W3106051827","https://openalex.org/W3143107425","https://openalex.org/W4237279480","https://openalex.org/W4294170691","https://openalex.org/W6611344619","https://openalex.org/W6629551212","https://openalex.org/W6637373629","https://openalex.org/W6638319203","https://openalex.org/W6675038308","https://openalex.org/W6675783020","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6679390333","https://openalex.org/W6680862486","https://openalex.org/W6682402173","https://openalex.org/W6682691769","https://openalex.org/W6683390231","https://openalex.org/W6726270187","https://openalex.org/W6766314179"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Zero-shot":[0],"learning":[1,34,101],"(ZSL)":[2],"endows":[3],"the":[4,9,63,77,89,97,105,116,119,123,143,159,176,195,208],"computer":[5],"vision":[6],"system":[7],"with":[8],"inferential":[10],"capability":[11],"to":[12,80,110,113,122,140,174],"recognize":[13],"new":[14],"categories":[15],"that":[16],"have":[17],"never":[18],"seen":[19,120],"before.":[20],"Two":[21],"fundamental":[22],"challenges":[23],"in":[24,32,66,93],"it":[25],"are":[26],"visual-semantic":[27,64],"embedding":[28],"and":[29,35,52,130,156,163,189],"domain":[30,90,121],"adaptation":[31],"cross-modality":[33],"unseen":[36,106,124],"class":[37],"prediction":[38],"steps,":[39],"respectively.":[40],"This":[41],"paper":[42],"presents":[43],"two":[44],"corresponding":[45],"methods":[46,202],"named":[47],"Adaptive":[48],"STructural":[49],"Embedding":[50],"(ASTE)":[51],"Self-PAced":[53],"Selective":[54],"Strategy":[55],"(SPASS)":[56],"for":[57],"both":[58],"challenges.":[59],"Specifically,":[60],"ASTE":[61,137,162],"formulates":[62],"interactions":[65],"a":[67,134,169],"latent":[68],"structural":[69],"support":[70],"vector":[71],"machine":[72],"framework":[73],"by":[74,102,127,203],"adaptively":[75],"adjusting":[76],"slack":[78],"variables":[79],"embody":[81],"different":[82],"reliablenesses":[83],"among":[84],"training":[85,171,196],"instances.":[86],"To":[87],"alleviate":[88],"shift":[91],"problem":[92],"ZSL,":[94],"SPASS":[95,129],"borrows":[96],"idea":[98],"from":[99,108,118],"self-paced":[100,135],"iteratively":[103],"selecting":[104],"instances":[107],"reliable":[109,112],"less":[111],"gradually":[114],"adapt":[115],"knowledge":[117],"domain.":[125],"Consequently,":[126],"combining":[128],"ASTE,":[131],"we":[132,166],"present":[133],"Transductive":[136],"(TASTE)":[138],"method":[139],"progressively":[141],"reinforce":[142],"classification":[144],"capacity.":[145],"Extensive":[146],"experiments":[147],"on":[148],"three":[149],"benchmark":[150],"data":[151],"sets":[152],"(i.e.,":[153],"AwA,":[154],"CUB,":[155],"aPY)":[157],"demonstrate":[158],"superiorities":[160],"of":[161,178,198],"TASTE.":[164],"Furthermore,":[165],"also":[167],"propose":[168],"fast":[170],"(FT)":[172],"strategy":[173,185],"improve":[175],"efficiency":[177],"most":[179,199],"existing":[180,200],"ZSL":[181,201],"methods.":[182],"The":[183],"FT":[184],"is":[186],"surprisingly":[187],"simple":[188],"general":[190],"enough,":[191],"which":[192],"speeds":[193],"up":[194],"time":[197],"4~300":[204],"times":[205],"while":[206],"holding":[207],"previous":[209],"performance.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
