{"id":"https://openalex.org/W4321601041","doi":"https://doi.org/10.1007/s11432-021-3535-2","title":"Enhancing unsupervised domain adaptation by exploiting the conceptual consistency of multiple self-supervised tasks","display_name":"Enhancing unsupervised domain adaptation by exploiting the conceptual consistency of multiple self-supervised tasks","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321601041","doi":"https://doi.org/10.1007/s11432-021-3535-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11432-021-3535-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-021-3535-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","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/A5023380585","display_name":"Hui Sun","orcid":"https://orcid.org/0000-0001-9251-4196"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Sun","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351449","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-6406-1983"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023380585"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.6878,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86795427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"66","issue":"4","first_page":null,"last_page":null},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9835000038146973,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9409999847412109,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7845151424407959},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7405998110771179},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6755629181861877},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6632119417190552},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6153316497802734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5607967376708984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5058395862579346},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4870508015155792},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.472042441368103},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4702623784542084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43627676367759705},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4191124439239502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3943670094013214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09427723288536072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7845151424407959},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7405998110771179},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6755629181861877},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6632119417190552},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6153316497802734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5607967376708984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5058395862579346},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4870508015155792},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.472042441368103},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4702623784542084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43627676367759705},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4191124439239502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3943670094013214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09427723288536072},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11432-021-3535-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-021-3535-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W2030290736","https://openalex.org/W2104094955","https://openalex.org/W2122838776","https://openalex.org/W2122922389","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2279034837","https://openalex.org/W2478454054","https://openalex.org/W2560674852","https://openalex.org/W2593768305","https://openalex.org/W2746692960","https://openalex.org/W2767657961","https://openalex.org/W2788768841","https://openalex.org/W2803297029","https://openalex.org/W2884771968","https://openalex.org/W2913939497","https://openalex.org/W2943865428","https://openalex.org/W2950725885","https://openalex.org/W2962687275","https://openalex.org/W2962824366","https://openalex.org/W2973077827","https://openalex.org/W2975758481","https://openalex.org/W2985406498","https://openalex.org/W2994633389","https://openalex.org/W2996787432","https://openalex.org/W3022379890","https://openalex.org/W3023371261","https://openalex.org/W3176602994","https://openalex.org/W4247950230","https://openalex.org/W6637568146","https://openalex.org/W6713955831","https://openalex.org/W6745136726","https://openalex.org/W6745831770","https://openalex.org/W6750109254"],"related_works":["https://openalex.org/W3128325346","https://openalex.org/W2970216048","https://openalex.org/W3010940633","https://openalex.org/W4376166954","https://openalex.org/W3162391602","https://openalex.org/W4283069728","https://openalex.org/W4311035103","https://openalex.org/W3176013316","https://openalex.org/W2929309436","https://openalex.org/W3214584541"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}