{"id":"https://openalex.org/W4414928221","doi":"https://doi.org/10.48550/arxiv.2510.02276","title":"BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals","display_name":"BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals","publication_year":2025,"publication_date":"2025-10-02","ids":{"openalex":"https://openalex.org/W4414928221","doi":"https://doi.org/10.48550/arxiv.2510.02276"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2510.02276","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.02276","pdf_url":"https://arxiv.org/pdf/2510.02276","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.02276","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103029090","display_name":"Chenqi Li","orcid":"https://orcid.org/0000-0002-0516-6988","observed_orcids":["https://orcid.org/0000-0002-0516-6988"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li, Chenqi","raw_affiliation_strings":["Department of Engineering Science , University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science , University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736937","display_name":"Yu Liu","orcid":"https://orcid.org/0009-0002-0821-5316","observed_orcids":["https://orcid.org/0009-0002-0821-5316"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Liu, Yu","raw_affiliation_strings":["Department of Engineering Science , University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science , University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031652451","display_name":"Timothy Denison","orcid":"https://orcid.org/0000-0002-5404-4004","observed_orcids":["https://orcid.org/0000-0002-5404-4004"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Denison, Timothy","raw_affiliation_strings":["Department of Engineering Science , University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science , University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055850985","display_name":"Tingting Zhu","orcid":"https://orcid.org/0000-0002-1552-5630","observed_orcids":["https://orcid.org/0000-0002-1552-5630"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhu, Tingting","raw_affiliation_strings":["Department of Engineering Science , University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science , University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.8964999914169312,"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":0.8964999914169312,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.04879999905824661,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.006399999838322401,"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/physiological-signals","display_name":"physiological signals","score":0.9879999756813049},{"id":"https://openalex.org/keywords/foundation-models","display_name":"foundation models","score":0.6800000071525574},{"id":"https://openalex.org/keywords/representation-alignment","display_name":"representation alignment","score":0.6489999890327454},{"id":"https://openalex.org/keywords/prototypical-networks","display_name":"prototypical networks","score":0.7620000243186951},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.6740000247955322},{"id":"https://openalex.org/keywords/health-monitoring","display_name":"health monitoring","score":0.8270000219345093}],"concepts":[{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.9221000075340271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628999948501587},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7261000275611877},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6521999835968018},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6097000241279602},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4966000020503998},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4927999973297119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48019999265670776},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32989999651908875},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2510.02276","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.02276","pdf_url":"https://arxiv.org/pdf/2510.02276","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.02276","doi":"https://doi.org/10.48550/arxiv.2510.02276","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.02276","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.02276","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.02276","pdf_url":"https://arxiv.org/pdf/2510.02276","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.504800021648407,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414928221.pdf","grobid_xml":"https://content.openalex.org/works/W4414928221.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4410194112","https://openalex.org/W4377121428","https://openalex.org/W4387432175","https://openalex.org/W4413478099","https://openalex.org/W4386721612","https://openalex.org/W4416899465","https://openalex.org/W4404260927","https://openalex.org/W7161131593","https://openalex.org/W7160549767","https://openalex.org/W7155059882"],"abstract_inverted_index":{"Biosignals":[0],"offer":[1],"valuable":[2],"insights":[3],"into":[4],"the":[5,9,29,40,44,53,63,137,152,181,205,217,233],"physiological":[6],"states":[7],"of":[8,34,42,58,66,81,140,154,171,235],"human":[10,35],"body.":[11],"Although":[12],"biosignal":[13,49,224],"modalities":[14,80],"differ":[15],"in":[16,125],"functionality,":[17],"signal":[18],"fidelity,":[19],"sensor":[20],"comfort,":[21],"and":[22,31,56,79,128,147,184,191,227],"cost,":[23],"they":[24],"are":[25,108],"often":[26],"intercorrelated,":[27],"reflecting":[28],"holistic":[30],"interconnected":[32],"nature":[33],"physiology.":[36],"This":[37,131],"opens":[38],"up":[39],"possibility":[41],"performing":[43],"same":[45],"tasks":[46,78,150],"using":[47],"alternative":[48],"modalities,":[50,225],"thereby":[51],"improving":[52,244],"accessibility,":[54],"usability,":[55],"adaptability":[57],"health":[59],"monitoring":[60],"systems.":[61],"However,":[62],"limited":[64],"availability":[65],"large":[67,155],"labeled":[68],"datasets":[69,228],"presents":[70],"challenges":[71],"for":[72,102,166,200],"training":[73,101,174],"models":[74,142,190],"tailored":[75],"to":[76,98,179,248],"specific":[77],"interest.":[82],"Unsupervised":[83],"cross-modal":[84,168],"knowledge":[85,93,112,169],"transfer":[86,170,245],"offers":[87],"a":[88,103,117,163,175,212],"promising":[89],"solution":[90],"by":[91,136,173,238],"leveraging":[92],"from":[94],"an":[95,197],"existing":[96],"modality":[97],"support":[99],"model":[100,119,122,156],"new":[104,164],"modality.":[105],"Existing":[106],"methods":[107],"typically":[109],"based":[110],"on":[111],"distillation,":[113],"which":[114],"requires":[115],"running":[116],"teacher":[118],"alongside":[120],"student":[121],"training,":[123],"resulting":[124],"high":[126],"computational":[127],"memory":[129],"overhead.":[130],"challenge":[132],"is":[133],"further":[134],"exacerbated":[135],"recent":[138],"development":[139],"foundation":[141,189],"that":[143,230],"demonstrate":[144],"superior":[145],"performance":[146,246],"generalization":[148],"across":[149,192,222],"at":[151],"cost":[153],"sizes.":[157],"To":[158],"this":[159],"end,":[160],"we":[161,195],"explore":[162],"framework":[165],"unsupervised":[167],"biosignals":[172],"lightweight":[176],"bridge":[177,206,218],"network":[178,215],"align":[180],"intermediate":[182],"representations":[183],"enable":[185],"information":[186],"flow":[187],"between":[188],"modalities.":[193],"Specifically,":[194],"introduce":[196],"efficient":[198],"strategy":[199],"selecting":[201],"alignment":[202],"positions":[203],"where":[204],"should":[207],"be":[208],"constructed,":[209],"along":[210],"with":[211],"flexible":[213],"prototype":[214],"as":[216],"architecture.":[219],"Extensive":[220],"experiments":[221],"multiple":[223],"tasks,":[226],"show":[229],"BioX-Bridge":[231],"reduces":[232],"number":[234],"trainable":[236],"parameters":[237],"88--99\\%":[239],"while":[240],"maintaining":[241],"or":[242],"even":[243],"compared":[247],"state-of-the-art":[249],"methods.":[250]},"counts_by_year":[],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2025-10-10T00:00:00"}
