{"id":"https://openalex.org/W4410335903","doi":"https://doi.org/10.1587/transinf.2025edl8020","title":"Dynamic Graph-Guided Domain-Invariant Feature Representation for Cross-Domain Facial Expression Recognition","display_name":"Dynamic Graph-Guided Domain-Invariant Feature Representation for Cross-Domain Facial Expression Recognition","publication_year":2025,"publication_date":"2025-05-13","ids":{"openalex":"https://openalex.org/W4410335903","doi":"https://doi.org/10.1587/transinf.2025edl8020"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2025edl8020","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2025edl8020","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/advpub/0/advpub_2025EDL8020/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/advpub/0/advpub_2025EDL8020/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xingxin WAN","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxin WAN","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043275789","display_name":"Peng Song","orcid":"https://orcid.org/0000-0003-2734-2783"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng SONG","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112766742","display_name":"Shuojia Fu","orcid":"https://orcid.org/0009-0008-8806-5680"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi FU","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074492217","display_name":"Chenxi Wang","orcid":"https://orcid.org/0000-0001-7236-9438"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjia WANG","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":null,"apc_paid":null,"fwci":0.9022,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71724652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"E108.D","issue":"11","first_page":"1416","last_page":"1420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.786899983882904,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.786899983882904,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.7788000106811523,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7387999892234802,"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":0.8035112619400024},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5825165510177612},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5315489768981934},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5036095976829529},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48045819997787476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4717612862586975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44462764263153076},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34889814257621765},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.31618204712867737},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2094464898109436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10994741320610046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8035112619400024},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5825165510177612},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5315489768981934},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5036095976829529},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48045819997787476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4717612862586975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44462764263153076},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34889814257621765},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.31618204712867737},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2094464898109436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10994741320610046},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2025edl8020","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2025edl8020","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/advpub/0/advpub_2025EDL8020/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2025edl8020","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2025edl8020","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/advpub/0/advpub_2025EDL8020/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410335903.pdf","grobid_xml":"https://content.openalex.org/works/W4410335903.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2003238582","https://openalex.org/W2159291411","https://openalex.org/W2171837816","https://openalex.org/W2955931541","https://openalex.org/W2968584961","https://openalex.org/W2992062578","https://openalex.org/W2999216888","https://openalex.org/W3167120905","https://openalex.org/W4292387244","https://openalex.org/W4293791051","https://openalex.org/W4319299822","https://openalex.org/W4376878782","https://openalex.org/W4378697420","https://openalex.org/W4386766812","https://openalex.org/W4391454477","https://openalex.org/W4401210544","https://openalex.org/W6648982606","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2116055069","https://openalex.org/W2356663679","https://openalex.org/W3027190010"],"abstract_inverted_index":{"In":[0,41],"ideal":[1],"facial":[2],"expression":[3],"recognition":[4,39],"(FER)":[5],"tasks,":[6],"the":[7,16,38,57,74,79,86,94,97,112,117,129,132],"training":[8],"and":[9,34],"test":[10],"data":[11,75],"are":[12,23],"assumed":[13],"to":[14,72,92,110],"share":[15],"same":[17],"distribution.":[18],"However,":[19],"in":[20,116],"reality,":[21],"they":[22],"often":[24],"sourced":[25],"from":[26],"different":[27,31,63],"domains,":[28],"which":[29,55],"follow":[30],"feature":[32,83],"distributions":[33],"would":[35],"seriously":[36],"impair":[37],"performance.":[40],"this":[42],"letter,":[43],"we":[44,66],"present":[45],"a":[46,68,101],"novel":[47],"Dynamic":[48],"Graph-Guided":[49],"Domain-Invariant":[50],"Feature":[51],"Representation":[52],"(DG-DIFR)":[53],"method,":[54],"addresses":[56],"issue":[58],"of":[59,81,96,131],"distribution":[60,76],"shifts":[61],"across":[62],"domains.":[64],"First,":[65],"learn":[67],"robust":[69],"common":[70],"subspace":[71],"minimize":[73],"differences,":[77],"facilitating":[78],"extraction":[80],"invariant":[82],"representations.":[84],"Concurrently,":[85],"retargeted":[87],"linear":[88],"regression":[89],"is":[90,107],"employed":[91],"enhance":[93],"discrimination":[95],"proposed":[98,133],"model.":[99],"Furthermore,":[100],"maximum":[102],"entropy":[103],"based":[104],"dynamic":[105],"graph":[106],"further":[108],"introduced":[109],"maintain":[111],"topological":[113],"structure":[114],"information":[115],"low-dimensional":[118],"subspace.":[119],"Finally,":[120],"numerous":[121],"experiments":[122],"conducted":[123],"on":[124],"four":[125],"benchmark":[126],"datasets":[127],"confirm":[128],"superiority":[130],"method":[134],"over":[135],"state-of-the-art":[136],"methods.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}
