{"id":"https://openalex.org/W4386466101","doi":"https://doi.org/10.1007/s10489-023-04890-0","title":"Domain consensual contrastive learning for few-shot universal domain adaptation","display_name":"Domain consensual contrastive learning for few-shot universal domain adaptation","publication_year":2023,"publication_date":"2023-09-05","ids":{"openalex":"https://openalex.org/W4386466101","doi":"https://doi.org/10.1007/s10489-023-04890-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-023-04890-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-023-04890-0","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5055790675","display_name":"Haojin Liao","orcid":"https://orcid.org/0000-0002-9275-1244"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojin Liao","raw_affiliation_strings":["School of Information and Communication Engineering, National Engineering Research Center of Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, National Engineering Research Center of Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366912","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0001-6790-6307"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["School of Information and Communication Engineering, National Engineering Research Center of Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, National Engineering Research Center of Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051149140","display_name":"Sicheng Zhao","orcid":"https://orcid.org/0000-0001-5843-6411"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sicheng Zhao","raw_affiliation_strings":["BNRist, Tsinghua University, Beijing, 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041232609","display_name":"Tengfei Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Xing","raw_affiliation_strings":["Didi Chuxing\u2019s Map Division, Beijing, 100193, China","Didi Chuxing's Map Division, Beijing, 100193, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Didi Chuxing\u2019s Map Division, Beijing, 100193, China","institution_ids":["https://openalex.org/I4401726870"]},{"raw_affiliation_string":"Didi Chuxing's Map Division, Beijing, 100193, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069960972","display_name":"Runbo Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runbo Hu","raw_affiliation_strings":["Didi Chuxing\u2019s Map Division, Beijing, 100193, China","Didi Chuxing's Map Division, Beijing, 100193, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Didi Chuxing\u2019s Map Division, Beijing, 100193, China","institution_ids":["https://openalex.org/I4401726870"]},{"raw_affiliation_string":"Didi Chuxing's Map Division, Beijing, 100193, China","institution_ids":["https://openalex.org/I4401726870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100366912"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.0475,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80929316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"53","issue":"22","first_page":"27191","last_page":"27206"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.953499972820282,"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":0.8391799926757812},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6780053377151489},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6041122674942017},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.587065577507019},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5559148788452148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5272219181060791},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49520865082740784},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43999314308166504},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41308173537254333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36787596344947815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3524457514286041},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34400129318237305},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.06743082404136658},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06405451893806458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8391799926757812},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6780053377151489},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6041122674942017},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.587065577507019},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5559148788452148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5272219181060791},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49520865082740784},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43999314308166504},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41308173537254333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36787596344947815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3524457514286041},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34400129318237305},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.06743082404136658},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06405451893806458},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-023-04890-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-023-04890-0","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W4149471","https://openalex.org/W1722318740","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2627183927","https://openalex.org/W2885018852","https://openalex.org/W2948069880","https://openalex.org/W2963519194","https://openalex.org/W2979509742","https://openalex.org/W2981720610","https://openalex.org/W2984957018","https://openalex.org/W2991162376","https://openalex.org/W3000097396","https://openalex.org/W3033708404","https://openalex.org/W3035524453","https://openalex.org/W3048265828","https://openalex.org/W3048967152","https://openalex.org/W3083641663","https://openalex.org/W3093475218","https://openalex.org/W3094277917","https://openalex.org/W3100804201","https://openalex.org/W3102842772","https://openalex.org/W3118289105","https://openalex.org/W3120207870","https://openalex.org/W3122985179","https://openalex.org/W3127196078","https://openalex.org/W3138220426","https://openalex.org/W3138516171","https://openalex.org/W3149860822","https://openalex.org/W3174862668","https://openalex.org/W3177151237","https://openalex.org/W3180849682","https://openalex.org/W3195175841","https://openalex.org/W3202407433","https://openalex.org/W3205186789","https://openalex.org/W4214671648","https://openalex.org/W4220678054","https://openalex.org/W4285414338","https://openalex.org/W4288052776","https://openalex.org/W4293370997","https://openalex.org/W4302283541","https://openalex.org/W4306831165","https://openalex.org/W4307498453","https://openalex.org/W4312443924","https://openalex.org/W4313156423","https://openalex.org/W4313377937","https://openalex.org/W4313561566","https://openalex.org/W4318067762","https://openalex.org/W6604344240"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2378211422","https://openalex.org/W2110523656","https://openalex.org/W2740361506"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
