{"id":"https://openalex.org/W4416863564","doi":"https://doi.org/10.1109/tip.2026.3695396","title":"Multi-Level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL","display_name":"Multi-Level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W4416863564","doi":"https://doi.org/10.1109/tip.2026.3695396","pmid":"https://pubmed.ncbi.nlm.nih.gov/42202193"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3695396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3695396","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.08677","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007337655","display_name":"Shibin Su","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Su","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011496755","display_name":"Guoqiang Liang","orcid":"https://orcid.org/0000-0002-2355-444X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Liang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8710-5520","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"De Cheng","orcid":"https://orcid.org/0000-0003-4603-847X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De Cheng","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4603-847X","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101626020","display_name":"Shizhou Zhang","orcid":"https://orcid.org/0000-0002-5914-7109"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shizhou Zhang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3429-576X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062259874","display_name":"Lingyan Ran","orcid":"https://orcid.org/0000-0002-3084-9860"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyan Ran","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3084-9860","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01860107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"5583","last_page":"5596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.6071000099182129,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.6071000099182129,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.23000000417232513,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.035999998450279236,"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/workspace","display_name":"Workspace","score":0.765500009059906},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.746999979019165},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7077999711036682},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6270999908447266},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6096000075340271},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.46320000290870667},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44350001215934753},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.41200000047683716},{"id":"https://openalex.org/keywords/hybrid-learning","display_name":"Hybrid learning","score":0.37049999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750999927520752},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.765500009059906},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.746999979019165},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7077999711036682},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6270999908447266},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6096000075340271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4993000030517578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4952000081539154},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.41200000047683716},{"id":"https://openalex.org/C3018790387","wikidata":"https://www.wikidata.org/wiki/Q869010","display_name":"Hybrid learning","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C2780490138","wikidata":"https://www.wikidata.org/wiki/Q7079636","display_name":"Offline learning","level":3,"score":0.2955000102519989},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.25679999589920044},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2026.3695396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3695396","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:42202193","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42202193","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2508.08677","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2508.08677","pdf_url":"https://arxiv.org/pdf/2508.08677","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.08677","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.08677","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.08677","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2508.08677","pdf_url":"https://arxiv.org/pdf/2508.08677","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4379320479","display_name":null,"funder_award_id":"2024JC-DXWT-07","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4425126584","display_name":null,"funder_award_id":"62376218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4479186740","display_name":null,"funder_award_id":"62101453","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5474364752","display_name":null,"funder_award_id":"2022JC-DW-08","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G579267988","display_name":null,"funder_award_id":"QTZX25083","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5899739664","display_name":null,"funder_award_id":"62476226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7114699980","display_name":null,"funder_award_id":"62576282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8814681590","display_name":null,"funder_award_id":"2023A1515011298","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8986956244","display_name":null,"funder_award_id":"62576262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416863564.pdf","grobid_xml":"https://content.openalex.org/works/W4416863564.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"Class-Incremental":[1],"Learning":[2],"(OCIL)":[3],"enables":[4],"models":[5,188,225],"to":[6,32,150,191],"learn":[7],"continuously":[8],"from":[9],"non-i.i.d.":[10],"data":[11,17],"streams.":[12],"Since":[13],"samples":[14],"of":[15,106,118,143],"the":[16,39,79,104,116,126,140,145,182],"streams":[18],"can":[19],"be":[20],"seen":[21],"only":[22],"once,":[23],"it":[24],"is":[25,112,147,232],"more":[26],"suitable":[27],"for":[28,41,136,222],"real-world":[29],"scenarios":[30],"compared":[31],"offline":[33],"learning.":[34],"However,":[35],"this":[36],"constraint":[37],"intensifies":[38],"challenge":[40],"OCIL":[42,212,224],"in":[43,58],"maintaining":[44,195],"an":[45],"appropriate":[46],"balance":[47,202],"between":[48,203],"stability":[49,204],"and":[50,130,154,173,205],"plasticity.":[51,206],"Moreover,":[52],"under":[53],"stricter":[54],"memory":[55,101,228],"buffer":[56],"constraints":[57],"real":[59],"world,":[60],"current":[61],"replay-based":[62],"methods":[63,69],"are":[64],"less":[65],"effective.":[66],"While":[67],"ensemble":[68,91],"improve":[70],"plasticity,":[71],"they":[72],"often":[73],"struggle":[74],"with":[75,181],"stability.":[76],"Inspired":[77],"by":[78,114,177],"Global":[80,95],"Workspace":[81,96],"Theory":[82],"(GWT),":[83],"we":[84,160],"propose":[85],"a":[86,94,133,162,185,200],"novel":[87],"approach":[88],"that":[89,102,215],"enhances":[90],"learning":[92,105,128,153],"through":[93],"Model":[97],"(GWM)-a":[98],"shared,":[99],"implicit":[100],"guides":[103],"multiple":[107],"student":[108,180,187],"models.":[109],"The":[110,230],"GWM":[111,146],"formed":[113],"fusing":[115],"parameters":[117],"all":[119],"students":[120,172],"within":[121],"each":[122,179],"training":[123],"batch,":[124],"capturing":[125],"historical":[127,175],"trajectory":[129],"serving":[131],"as":[132],"dynamic":[134],"anchor":[135],"knowledge":[137,176],"consolidation.":[138],"Like":[139],"broadcasting":[141],"mechanism":[142],"GWT,":[144],"redistributed":[148],"periodically":[149],"students,":[151],"stabilizing":[152],"promoting":[155],"cross-task":[156],"consistency.":[157],"In":[158],"addition,":[159],"introduce":[161],"multi-level":[163],"collaborative":[164],"distillation":[165],"mechanism.":[166],"It":[167],"enforces":[168],"peer-to-peer":[169],"consistency":[170],"among":[171],"preserves":[174],"aligning":[178],"GWM.":[183],"As":[184],"result,":[186],"remain":[189],"adaptable":[190],"new":[192],"tasks":[193],"while":[194],"previously":[196],"learned":[197],"knowledge,":[198],"striking":[199],"better":[201],"Extensive":[207],"experiments":[208],"on":[209],"three":[210],"standard":[211],"benchmarks":[213],"show":[214],"our":[216],"method":[217],"delivers":[218],"significant":[219],"performance":[220],"improvement":[221],"several":[223],"across":[226],"various":[227],"budgets.":[229],"code":[231],"available":[233],"at":[234],"https://github.com/susususushi/GWM.":[235]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
