{"id":"https://openalex.org/W4411600332","doi":"https://doi.org/10.1109/cec65147.2025.11042973","title":"Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks","display_name":"Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600332","doi":"https://doi.org/10.1109/cec65147.2025.11042973"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11042973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","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/A5089421808","display_name":"Shuaiqun Pan","orcid":"https://orcid.org/0000-0001-7039-4875"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shuaiqun Pan","raw_affiliation_strings":["LIACS, Leiden University,Leiden,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University,Leiden,The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075992713","display_name":"Diederick Vermetten","orcid":"https://orcid.org/0000-0003-3040-7162"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Diederick Vermetten","raw_affiliation_strings":["LIACS, Leiden University,Leiden,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University,Leiden,The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014676600","display_name":"Manuel L\u00f3pez\u2010Ib\u00e1\u00f1ez","orcid":"https://orcid.org/0000-0001-9974-1295"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Manuel L\u00f3pez-Ib\u00e1\u00f1ez","raw_affiliation_strings":["University of Manchester,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester,Manchester,UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062646838","display_name":"Thomas B\u00e4ck","orcid":"https://orcid.org/0000-0001-6768-1478"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas B\u00e4ck","raw_affiliation_strings":["LIACS, Leiden University,Leiden,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University,Leiden,The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100658894","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-4933-5181"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["LIACS, Leiden University,Leiden,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University,Leiden,The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87150672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9889000058174133,"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":0.9889000058174133,"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/affine-transformation","display_name":"Affine transformation","score":0.6970604062080383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641556978225708},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6335980296134949},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49804115295410156},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.47894221544265747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4605708420276642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15867379307746887}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6970604062080383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641556978225708},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6335980296134949},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49804115295410156},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.47894221544265747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4605708420276642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15867379307746887},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11042973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","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":40,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1608349250","https://openalex.org/W1990863955","https://openalex.org/W1991266921","https://openalex.org/W2001414605","https://openalex.org/W2041709363","https://openalex.org/W2093229042","https://openalex.org/W2101234009","https://openalex.org/W2229387242","https://openalex.org/W2314046539","https://openalex.org/W2478899349","https://openalex.org/W2735426806","https://openalex.org/W2756659234","https://openalex.org/W2792961021","https://openalex.org/W2895700336","https://openalex.org/W2898125438","https://openalex.org/W2952437250","https://openalex.org/W2954532028","https://openalex.org/W2997933335","https://openalex.org/W3006837495","https://openalex.org/W3094021357","https://openalex.org/W3095394819","https://openalex.org/W3103897629","https://openalex.org/W3134604425","https://openalex.org/W3212577996","https://openalex.org/W4235606958","https://openalex.org/W4237754293","https://openalex.org/W4293258807","https://openalex.org/W4323649956","https://openalex.org/W4386890307","https://openalex.org/W4388877345","https://openalex.org/W4400412487","https://openalex.org/W4411600332","https://openalex.org/W6630184887","https://openalex.org/W6631818155","https://openalex.org/W6702989015","https://openalex.org/W6800546666","https://openalex.org/W6838282289","https://openalex.org/W6850092050","https://openalex.org/W6912248530"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W2038416447","https://openalex.org/W2364151838","https://openalex.org/W2066926363","https://openalex.org/W1623358412","https://openalex.org/W2354159744","https://openalex.org/W4282827391","https://openalex.org/W2351539857","https://openalex.org/W2765965840","https://openalex.org/W2900584650"],"abstract_inverted_index":{"Surrogate":[0],"models":[1,36,54,178],"are":[2,71],"frequently":[3],"employed":[4],"as":[5],"efficient":[6],"substitutes":[7],"for":[8,37,98,179],"the":[9,89,107,111,116,124,128,157,162,169],"costly":[10],"execution":[11],"of":[12,83,161,175],"real-world":[13,150,181],"processes.":[14],"However,":[15],"constructing":[16],"a":[17,59,63,80,136],"high-quality":[18],"surrogate":[19,35,53,177],"model":[20],"often":[21],"demands":[22],"extensive":[23],"data":[24,85,113,170],"acquisition.":[25],"A":[26],"solution":[27],"to":[28,32,62,94,127],"this":[29,96,120],"issue":[30],"is":[31],"transfer":[33,84,112,151],"pre-trained":[34],"new":[38],"tasks,":[39],"provided":[40],"that":[41],"certain":[42],"invariances":[43],"exist":[44],"between":[45],"tasks.":[46],"This":[47],"study":[48],"focuses":[49],"on":[50,88,110,135,148],"transferring":[51],"non-differentiable":[52],"(e.g.,":[55],"random":[56,129],"forests)":[57],"from":[58],"source":[60],"function":[61],"target":[64],"function,":[65],"where":[66],"we":[67,122],"assume":[68],"their":[69],"domains":[70],"related":[72],"by":[73,114],"an":[74],"unknown":[75],"affine":[76,117],"transformation,":[77],"using":[78],"only":[79],"limited":[81],"amount":[82],"points":[86],"evaluated":[87],"target.":[90],"Previous":[91],"research":[92],"attempts":[93],"tackle":[95],"challenge":[97],"differentiable":[99],"models,":[100],"e.g.,":[101],"Gaussian":[102],"process":[103],"regression,":[104],"which":[105],"minimizes":[106],"empirical":[108],"loss":[109],"tuning":[115],"transformations.":[118],"In":[119],"paper,":[121],"extend":[123],"previous":[125],"work":[126],"forest":[130],"and":[131,147,172],"assess":[132],"its":[133],"effectiveness":[134],"widely-used":[137],"artificial":[138],"problem":[139],"set":[140],"-":[141],"Black-Box":[142],"Optimization":[143],"Benchmark":[144],"(BBOB)":[145],"testbed,":[146],"four":[149],"learning":[152],"problems.":[153],"The":[154],"results":[155],"highlight":[156],"significant":[158],"practical":[159],"advantages":[160],"proposed":[163],"method,":[164],"particularly":[165],"in":[166],"reducing":[167],"both":[168],"requirements":[171],"computational":[173],"costs":[174],"training":[176],"complex":[180],"scenarios.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}