{"id":"https://openalex.org/W7133340324","doi":"https://doi.org/10.48550/arxiv.2603.01632","title":"DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning","display_name":"DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133340324","doi":"https://doi.org/10.48550/arxiv.2603.01632"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.01632","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.01632","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127928411","display_name":"Xiwei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu, Xiwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128025049","display_name":"Yulong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yulong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128034399","display_name":"Feilong Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Feilong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121288446","display_name":"Imran Razzak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Razzak, Imran","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5127928411"],"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":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":0.36660000681877136,"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":0.36660000681877136,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.08479999750852585,"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/T10028","display_name":"Topic Modeling","score":0.08229999989271164,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6887000203132629},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5738000273704529},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5267999768257141},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5187000036239624},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4657000005245209},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.44830000400543213},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4471000134944916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083000183105469},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6887000203132629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6013000011444092},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5738000273704529},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5267999768257141},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4925000071525574},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.44830000400543213},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4471000134944916},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.29179999232292175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2766999900341034},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2680000066757202}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.01632","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.01632","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Adapting":[0],"Large":[1],"Multimodal":[2],"Models":[3],"(LMMs)":[4],"to":[5,51,90,147],"real-world":[6,184],"scenarios":[7],"poses":[8],"the":[9,87,175],"dual":[10],"challenges":[11],"of":[12,66,177],"learning":[13],"from":[14,78,118],"sequential":[15],"data":[16,150],"streams":[17],"while":[18],"handling":[19],"frequent":[20],"modality":[21,76,104],"incompleteness,":[22],"a":[23,43,92,125,142,152,178],"task":[24,49],"known":[25],"as":[26],"Continual":[27],"Missing":[28],"Modality":[29],"Learning":[30],"(CMML).":[31],"However,":[32],"existing":[33],"works":[34],"on":[35,40,161],"CMML":[36,163],"have":[37],"predominantly":[38],"relied":[39],"prompt":[41],"tuning,":[42],"technique":[44],"that":[45,128,166],"struggles":[46],"with":[47,70,115],"this":[48,82,101,133],"due":[50],"cross-task":[52],"interference":[53,77,105],"between":[54],"its":[55],"learnable":[56],"prompts":[57],"in":[58],"their":[59],"shared":[60],"embedding":[61],"space.":[62],"A":[63],"naive":[64],"application":[65],"Low-Rank":[67],"Adaptation":[68],"(LoRA)":[69],"modality-shared":[71],"module":[72],"will":[73],"also":[74],"suffer":[75],"competing":[79],"gradients.":[80],"To":[81],"end,":[83],"we":[84],"propose":[85],"DeLo,":[86],"first":[88],"framework":[89,127],"leverage":[91],"novel":[93],"dual-decomposed":[94],"low-rank":[95],"expert":[96,134],"architecture":[97,102],"for":[98,155,183],"CMML.":[99],"Specifically,":[100],"resolves":[103],"through":[106],"decomposed":[107],"LoRA":[108,112,181],"expert,":[109],"dynamically":[110],"composing":[111],"update":[113],"matrix":[114],"rank-one":[116],"factors":[117],"disentangled":[119],"modality-specific":[120],"factor":[121],"pools.":[122],"Embedded":[123],"within":[124],"task-partitioned":[126],"structurally":[129],"prevents":[130],"catastrophic":[131],"forgetting,":[132],"system":[135],"is":[136],"supported":[137],"by":[138],"two":[139],"key":[140],"mechanisms:":[141],"Cross-Modal":[143],"Guided":[144],"Routing":[145],"strategy":[146],"handle":[148],"incomplete":[149],"and":[151],"Task-Key":[153],"Memory":[154],"efficient,":[156],"task-agnostic":[157],"inference.":[158],"Extensive":[159],"experiments":[160],"established":[162],"benchmarks":[164],"demonstrate":[165],"our":[167],"method":[168],"significantly":[169],"outperforms":[170],"state-of-the-art":[171],"approaches.":[172],"This":[173],"highlights":[174],"value":[176],"principled,":[179],"architecturally-aware":[180],"design":[182],"multimodal":[185],"challenges.":[186]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}