{"id":"https://openalex.org/W4391468101","doi":"https://doi.org/10.1109/tmm.2024.3361729","title":"Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation","display_name":"Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391468101","doi":"https://doi.org/10.1109/tmm.2024.3361729"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3361729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3361729","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5011405516","display_name":"Jin Yuan","orcid":"https://orcid.org/0000-0002-9954-0693"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Yuan","raw_affiliation_strings":["School of Computer Science and Engineering, and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9954-0693","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027958542","display_name":"Feng Hou","orcid":"https://orcid.org/0000-0002-2587-720X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Hou","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2587-720X","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771513","display_name":"Yang Ying","orcid":"https://orcid.org/0009-0007-3272-3106"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yang","raw_affiliation_strings":["AI Lab, Lenovo Research, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-3272-3106","affiliations":[{"raw_affiliation_string":"AI Lab, Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008287271","display_name":"Y.S. Zhang","orcid":"https://orcid.org/0000-0002-7260-5098"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["AI Lab, Lenovo Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7260-5098","affiliations":[{"raw_affiliation_string":"AI Lab, Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873354","display_name":"Zhongchao Shi","orcid":"https://orcid.org/0000-0002-5216-3827"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongchao Shi","raw_affiliation_strings":["AI Lab, Lenovo Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5216-3827","affiliations":[{"raw_affiliation_string":"AI Lab, Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074742406","display_name":"Xin Geng","orcid":"https://orcid.org/0000-0001-7729-0622"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Geng","raw_affiliation_strings":["School of Computer Science and Engineering, and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7729-0622","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728569","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0003-2290-1785"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["AI Lab, Lenovo Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2290-1785","affiliations":[{"raw_affiliation_string":"AI Lab, Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689915","display_name":"Zhiqiang He","orcid":"https://orcid.org/0000-0003-4730-0521"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang He","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4730-0521","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728762","display_name":"Yong Rui","orcid":"https://orcid.org/0000-0002-9142-5914"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Rui","raw_affiliation_strings":["School of Computer Science and Engineering, and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","AI Lab, Lenovo Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9142-5914","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"AI Lab, Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8899,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93962338,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"7210","last_page":"7224"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9750000238418579,"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":0.8848412036895752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6030799150466919},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.54108065366745},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5333654284477234},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4625875651836395},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4595870077610016},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43320903182029724},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4327761232852936},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24697434902191162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8848412036895752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6030799150466919},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.54108065366745},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5333654284477234},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4625875651836395},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4595870077610016},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43320903182029724},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4327761232852936},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24697434902191162},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3361729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3361729","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":109,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1565327149","https://openalex.org/W1722318740","https://openalex.org/W2064447488","https://openalex.org/W2100659887","https://openalex.org/W2104094955","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2125865219","https://openalex.org/W2148440006","https://openalex.org/W2149466042","https://openalex.org/W2162651021","https://openalex.org/W2194775991","https://openalex.org/W2308529009","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2335728318","https://openalex.org/W2478454054","https://openalex.org/W2584009249","https://openalex.org/W2584886900","https://openalex.org/W2593768305","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2768591600","https://openalex.org/W2785325870","https://openalex.org/W2798681837","https://openalex.org/W2904209271","https://openalex.org/W2948433173","https://openalex.org/W2948467580","https://openalex.org/W2962687275","https://openalex.org/W2962824366","https://openalex.org/W2963506806","https://openalex.org/W2963532621","https://openalex.org/W2963864946","https://openalex.org/W2964288524","https://openalex.org/W2980096013","https://openalex.org/W2981720610","https://openalex.org/W2991405316","https://openalex.org/W2994633389","https://openalex.org/W2998115938","https://openalex.org/W2998705539","https://openalex.org/W3011304563","https://openalex.org/W3027097765","https://openalex.org/W3039883906","https://openalex.org/W3102840236","https://openalex.org/W3109083691","https://openalex.org/W3109433545","https://openalex.org/W3109512970","https://openalex.org/W3158303530","https://openalex.org/W3165231040","https://openalex.org/W3167456680","https://openalex.org/W3183226462","https://openalex.org/W3201074629","https://openalex.org/W3202461257","https://openalex.org/W3202897408","https://openalex.org/W3210123923","https://openalex.org/W3211825525","https://openalex.org/W4205091644","https://openalex.org/W4205468707","https://openalex.org/W4213440574","https://openalex.org/W4226144843","https://openalex.org/W4285288414","https://openalex.org/W4285293775","https://openalex.org/W4285295719","https://openalex.org/W4287263085","https://openalex.org/W4287813248","https://openalex.org/W4304092068","https://openalex.org/W4304098891","https://openalex.org/W4312238451","https://openalex.org/W4313331808","https://openalex.org/W4313419229","https://openalex.org/W4313427311","https://openalex.org/W4313555658","https://openalex.org/W4324114339","https://openalex.org/W4379256340","https://openalex.org/W4383860769","https://openalex.org/W4386071633","https://openalex.org/W4386075537","https://openalex.org/W4386760180","https://openalex.org/W6604254268","https://openalex.org/W6633949838","https://openalex.org/W6637178625","https://openalex.org/W6639480849","https://openalex.org/W6675865240","https://openalex.org/W6680880821","https://openalex.org/W6683633756","https://openalex.org/W6688325169","https://openalex.org/W6695692224","https://openalex.org/W6703116779","https://openalex.org/W6713955831","https://openalex.org/W6726873649","https://openalex.org/W6745986955","https://openalex.org/W6747899497","https://openalex.org/W6750109254","https://openalex.org/W6754770232","https://openalex.org/W6755207826","https://openalex.org/W6758833332","https://openalex.org/W6763837953","https://openalex.org/W6765696844","https://openalex.org/W6767561782","https://openalex.org/W6775911674","https://openalex.org/W6779119530","https://openalex.org/W6779157540","https://openalex.org/W6779702771","https://openalex.org/W6785723591","https://openalex.org/W6796756813","https://openalex.org/W6798997931","https://openalex.org/W6853531012","https://openalex.org/W6854694182"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W3095487414","https://openalex.org/W2901026139","https://openalex.org/W2440023763","https://openalex.org/W2962474440","https://openalex.org/W2147093486"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,18,48,182,222],"(DA)":[2],"addresses":[3],"the":[4,10,27,73,90,93,102,149,165,179,204],"challenge":[5],"of":[6,29,92,151,163],"distribution":[7],"discrepancy":[8],"between":[9],"training":[11],"and":[12,49,106,167],"test":[13],"data,":[14],"while":[15],"multi-source":[16,46,220],"domain":[17,47,157,169,181,200,221],"(MSDA)":[19],"is":[20,43,232],"particularly":[21],"appealing":[22],"for":[23],"realistic":[24],"scenarios.":[25],"With":[26],"emergence":[28],"extensive":[30,208],"unlabeled":[31,57],"datasets,":[32,164],"self-supervised":[33,50,66,159],"learning":[34,51,67],"has":[35],"gained":[36],"significant":[37],"popularity":[38],"in":[39,171,184,203],"deep":[40],"learning.":[41,88],"It":[42],"noteworthy":[44],"that":[45,211],"share":[52],"a":[53,118,128,133,143,193],"common":[54],"objective:":[55],"leveraging":[56],"data":[58],"to":[59,78,82,112,135,177],"acquire":[60],"more":[61],"informative":[62],"representations.":[63],"However,":[64],"conventional":[65],"encounters":[68],"two":[69],"main":[70],"limitations.":[71],"Firstly,":[72],"traditional":[74],"pretext":[75],"task":[76,84],"falls":[77],"transfer":[79],"fine-grained":[80],"knowledge":[81,104,139],"downstream":[83],"with":[85,97,197],"general":[86],"representation":[87],"Secondly,":[89],"scheme":[91],"same":[94],"feature":[95],"extractor":[96],"distinct":[98],"prediction":[99],"heads":[100],"makes":[101],"cross-task":[103,138],"exchange":[105],"information":[107],"sharing":[108],"ineffective.":[109],"In":[110,161],"order":[111],"tackle":[113],"these":[114],"challenges,":[115],"we":[116,147,191],"introduce":[117,192],"novel":[119],"approach":[120],"called":[121],"Domain-Aware":[122],"Graph":[123],"Network":[124],"(DAGNet).":[125],"DAGNet":[126,212],"utilizes":[127],"graph":[129],"neural":[130],"network":[131],"as":[132],"bridge":[134],"facilitate":[136],"efficient":[137],"exchange.":[140],"By":[141],"employing":[142],"mask":[144],"token":[145],"strategy,":[146],"enhance":[148],"robustness":[150],"representations":[152],"by":[153],"selectively":[154],"masking":[155],"certain":[156],"or":[158],"information.":[160],"terms":[162],"uneven":[166],"style-based":[168],"shifts":[170,201],"current":[172],"datasets":[173,223],"make":[174],"it":[175],"challenging":[176],"measure":[178],"model's":[180],"performance":[183,215],"real-world":[185],"applications.":[186],"To":[187],"address":[188],"this":[189],"issue,":[190],"benchmark":[194],"dataset":[195],"DomainVerse":[196],"continuous":[198],"spatio-temporal":[199],"encountered":[202],"real":[205],"world.":[206],"Our":[207],"experiments":[209],"demonstrate":[210],"achieves":[213],"state-of-the-art":[214],"not":[216],"only":[217],"on":[218,226],"mainstream":[219],"but":[224],"also":[225],"different":[227],"settings":[228],"within":[229],"DomainVerse.":[230],"Code":[231],"available":[233],"at":[234],"<uri":[235],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/a791702141/SSG</uri>":[237],".":[238]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}