{"id":"https://openalex.org/W4416251040","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228030","title":"Test-Time Adaptation for Cross-Subject Motor Imagery EEG Classification Using Information-Aggregation and Source-Guided Weighting","display_name":"Test-Time Adaptation for Cross-Subject Motor Imagery EEG Classification Using Information-Aggregation and Source-Guided Weighting","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251040","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228030"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087604054","display_name":"Yiheng Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiheng Peng","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101501048","display_name":"Jingjing Luo","orcid":"https://orcid.org/0000-0002-8646-8645"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Luo","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069052305","display_name":"Hongbo Wang","orcid":"https://orcid.org/0000-0002-8031-5533"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Wang","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611043","display_name":"Shijie Guo","orcid":"https://orcid.org/0000-0002-6856-8933"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Guo","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034885233","display_name":"Yuzhu Guo","orcid":"https://orcid.org/0000-0002-8588-5172"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhu Guo","raw_affiliation_strings":["Beihang University,Department of Automation Sciences and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Department of Automation Sciences and Electrical Engineering","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032855719","display_name":"Dongsheng Xu","orcid":"https://orcid.org/0000-0003-1646-905X"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Xu","raw_affiliation_strings":["Shanghai University of Traditional Chinese Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Traditional Chinese Medicine","institution_ids":["https://openalex.org/I4210098460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100709803","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-1437-1198"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Beihang University,Department of Automation Sciences and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Department of Automation Sciences and Electrical Engineering","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0008999999845400453,"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":0.0008999999845400453,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8187999725341797},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6032999753952026},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5716000199317932},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5447999835014343},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4717000126838684},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4327999949455261},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4058000147342682},{"id":"https://openalex.org/keywords/a-weighting","display_name":"A-weighting","score":0.4034000039100647}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8187999725341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551000118255615},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6032999753952026},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5716000199317932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641999840736389},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5447999835014343},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5145999789237976},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4717000126838684},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.4034000039100647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329694","display_name":"Jihua Laboratory","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2047446819","https://openalex.org/W2147854680","https://openalex.org/W2559463885","https://openalex.org/W2981873476","https://openalex.org/W2999575688","https://openalex.org/W3015863006","https://openalex.org/W3047208690","https://openalex.org/W3121810080","https://openalex.org/W3131225866","https://openalex.org/W4224307534","https://openalex.org/W4288061928","https://openalex.org/W4296027702","https://openalex.org/W4300942166","https://openalex.org/W4312897837","https://openalex.org/W4385656459","https://openalex.org/W4386065721","https://openalex.org/W4386075759","https://openalex.org/W4390872047","https://openalex.org/W4393160212","https://openalex.org/W4393406559","https://openalex.org/W4394625772","https://openalex.org/W4401863251","https://openalex.org/W4402716176","https://openalex.org/W4403922301","https://openalex.org/W4403998237"],"related_works":[],"abstract_inverted_index":{"Individual-specific":[0],"calibration":[1],"is":[2],"a":[3,24,77,108],"major":[4],"bottleneck":[5],"in":[6,68,192],"motor":[7],"imagery":[8],"(MI)":[9],"electroencephalogram":[10],"(EEG)":[11],"decoding,":[12,72],"limiting":[13],"real-world":[14,193],"neural-feedback":[15],"rehabilitation.":[16],"Transfer":[17],"learning,":[18],"particularly":[19],"Test-Time":[20],"Adaptation":[21],"(TTA),":[22],"offers":[23],"promising":[25],"solution":[26],"for":[27,44,184],"direct":[28,69],"online":[29,70],"cross-subject":[30,197],"adaptation,":[31],"handling":[32],"sequentially":[33],"arriving":[34],"unlabeled":[35],"MI-EEG":[36,55,71,151],"data.":[37,118],"However,":[38],"existing":[39],"TTA":[40,172],"methods,":[41],"primarily":[42],"designed":[43],"domains":[45],"such":[46],"as":[47],"computer":[48],"vision,":[49],"face":[50],"challenges":[51,67],"when":[52],"applied":[53],"to":[54,58,96,113,138,142],"data":[56],"due":[57],"its":[59],"scarcity":[60],"and":[61,83,91,102,132,174,195],"non-stationary":[62],"nature.":[63],"To":[64],"address":[65],"the":[66,123,127,143,170,177,182],"this":[73],"paper":[74],"proposes":[75],"MI-IASW,":[76],"novel":[78],"framework":[79,157],"combining":[80],"Information-Aggregation":[81],"(IA)":[82],"Source-Guided":[84],"Pseudo-Label":[85],"Weighting":[86,136],"(SW).":[87],"IA":[88,106],"leverages":[89],"Mixed":[90],"Adaptive":[92],"Batch":[93],"Normalization":[94],"(MABN)":[95],"ensure":[97],"effective":[98],"aggregation":[99],"of":[100,129,167],"statistical":[101],"gradient":[103],"information.":[104],"Additionally,":[105],"adopts":[107],"Weight":[109],"Aggregation":[110],"(WA)":[111],"strategy":[112],"improve":[114],"generalization":[115],"under":[116],"limited":[117],"Meanwhile,":[119],"SW":[120],"first":[121],"evaluates":[122],"overconfident":[124],"pseudo-labels":[125],"with":[126],"guidance":[128],"source":[130,178],"centers":[131],"then":[133],"employs":[134],"Class-Aware":[135],"(CAW)":[137],"adjust":[139],"sample":[140],"contributions":[141],"loss":[144],"function.":[145],"Experimental":[146],"evaluations":[147],"on":[148],"two":[149],"public":[150],"datasets":[152],"demonstrate":[153],"that":[154],"our":[155],"proposed":[156],"outperforms":[158],"various":[159],"competitive":[160],"baselines,":[161],"achieving":[162],"an":[163],"average":[164],"performance":[165],"gain":[166],"3.17%":[168],"over":[169,176],"baseline":[171],"methods":[173],"6.80%":[175],"model.":[179],"By":[180],"eliminating":[181],"need":[183],"individual-specific":[185],"offline":[186],"calibration,":[187],"MI-IASW":[188],"enables":[189],"practical":[190],"deployment":[191],"rehabilitation":[194],"improves":[196],"decoding.":[198]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}