{"id":"https://openalex.org/W4414359689","doi":"https://doi.org/10.24963/ijcai.2025/1201","title":"A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models","display_name":"A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359689","doi":"https://doi.org/10.24963/ijcai.2025/1201"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/1201","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5022696348","display_name":"Dawei Zhou","orcid":"https://orcid.org/0000-0002-7065-2990"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da-Wei Zhou","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065180062","display_name":"Han-Jia Ye","orcid":"https://orcid.org/0000-0003-1173-1880"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han-Jia Ye","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10826","last_page":"10835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.8866999745368958,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.8866999745368958,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.8776999711990356,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8014000058174133,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.7682999968528748},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5436000227928162},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4602000117301941},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.44920000433921814},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4027999937534332},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3935000002384186}],"concepts":[{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7682999968528748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891000270843506},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4602000117301941},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4417000114917755},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4027999937534332},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4000999927520752},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.365200012922287},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2689000070095062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/1201","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"learning":[1,43,75],"has":[2,29],"rapidly":[3],"progressed,":[4],"resulting":[5],"in":[6,72,149,158],"a":[7,80,93],"vast":[8],"repository":[9],"of":[10,101,161,168],"both":[11,68],"general":[12,129],"and":[13,39,70,91,110,123,128,137,146,156],"specialized":[14,127],"models":[15,23,59],"that":[16,96],"address":[17],"diverse":[18],"practical":[19],"needs.":[20],"Reusing":[21],"pre-trained":[22,163],"(PTMs)":[24],"from":[25,105],"public":[26],"model":[27,37,84,106,115,150,171],"zoos":[28],"emerged":[30],"as":[31,114],"an":[32],"effective":[33],"strategy,":[34],"leveraging":[35],"rich":[36],"resources":[38],"reshaping":[40],"traditional":[41],"machine":[42,74],"workflows.":[44],"These":[45],"PTMs":[46],"encapsulate":[47],"valuable":[48],"inductive":[49],"biases":[50],"beneficial":[51],"for":[52],"downstream":[53],"tasks.":[54],"Well-designed":[55],"reuse":[56,172],"strategies":[57],"enable":[58],"to":[60,153],"be":[61],"adapted":[62],"beyond":[63],"their":[64,134],"original":[65],"scope,":[66],"enhancing":[67],"performance":[69],"efficiency":[71],"target":[73],"systems.":[76],"This":[77],"survey":[78],"offers":[79],"unifying":[81],"perspective":[82],"on":[83],"reuse,":[85,151],"establishing":[86],"connections":[87],"across":[88],"various":[89],"domains":[90],"presenting":[92],"novel":[94],"taxonomy":[95],"encompasses":[97],"the":[98,121,159],"full":[99],"lifecycle":[100],"PTM":[102],"utilization---including":[103],"selection":[104],"zoos,":[107],"adaptation":[108],"techniques,":[109],"related":[111],"areas":[112],"such":[113],"representation":[116],"learning.":[117],"We":[118],"delve":[119],"into":[120,133],"similarities":[122],"distinctions":[124],"between":[125],"reusing":[126],"PTMs,":[130],"providing":[131],"insights":[132],"respective":[135],"advantages":[136],"limitations.":[138],"Furthermore,":[139],"we":[140],"discuss":[141],"key":[142],"challenges,":[143],"emerging":[144],"trends,":[145],"future":[147],"directions":[148],"aiming":[152],"guide":[154],"research":[155],"practice":[157],"era":[160],"large-scale":[162],"models.":[164],"A":[165],"comprehensive":[166],"list":[167],"papers":[169],"about":[170],"is":[173],"available":[174],"at":[175],"https://github.com/LAMDA-Model-Reuse/Awesome-Model-Reuse.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
