{"id":"https://openalex.org/W4411484133","doi":"https://doi.org/10.1109/tpami.2025.3581941","title":"Generalizing to New Dynamical Systems via Frequency Domain Adaptation","display_name":"Generalizing to New Dynamical Systems via Frequency Domain Adaptation","publication_year":2025,"publication_date":"2025-06-20","ids":{"openalex":"https://openalex.org/W4411484133","doi":"https://doi.org/10.1109/tpami.2025.3581941","pmid":"https://pubmed.ncbi.nlm.nih.gov/40540376"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3581941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3581941","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5021853911","display_name":"Tiexin Qin","orcid":"https://orcid.org/0000-0003-2968-7320"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Tiexin Qin","raw_affiliation_strings":["Department of Electrical and Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644375","display_name":"Hong Yan","orcid":"https://orcid.org/0000-0001-9661-3095"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hong Yan","raw_affiliation_strings":["Department of Electrical and Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040091210","display_name":"Haoliang Li","orcid":"https://orcid.org/0000-0002-8723-8112"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haoliang Li","raw_affiliation_strings":["Department of Electrical and Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021853911"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11168194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":"10","first_page":"9352","last_page":"9359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9247000217437744,"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/generalization","display_name":"Generalization","score":0.733376681804657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7292375564575195},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6784220337867737},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.588089108467102},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.5494425296783447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5432662963867188},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5414538383483887},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5127576589584351},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5106092095375061},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4822031259536743},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.4775486886501312},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4601690173149109},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41713908314704895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19502943754196167},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.0882570743560791}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.733376681804657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7292375564575195},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6784220337867737},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.588089108467102},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.5494425296783447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5432662963867188},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5414538383483887},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5127576589584351},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5106092095375061},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4822031259536743},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.4775486886501312},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4601690173149109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41713908314704895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19502943754196167},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0882570743560791},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3581941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3581941","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40540376","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40540376","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3662082045","display_name":null,"funder_award_id":"11207523","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2006640177","https://openalex.org/W2061171222","https://openalex.org/W2101258119","https://openalex.org/W2134572726","https://openalex.org/W2239232218","https://openalex.org/W2534240011","https://openalex.org/W2546191734","https://openalex.org/W2624709875","https://openalex.org/W2798405286","https://openalex.org/W2808484818","https://openalex.org/W2963043696","https://openalex.org/W2963973018","https://openalex.org/W3003922491","https://openalex.org/W3007098654","https://openalex.org/W3081639539","https://openalex.org/W3121149831","https://openalex.org/W3126121388","https://openalex.org/W3133542152","https://openalex.org/W3162090017","https://openalex.org/W3173957430","https://openalex.org/W4226193666","https://openalex.org/W4250640407","https://openalex.org/W4310982869","https://openalex.org/W4385429379","https://openalex.org/W4387196960","https://openalex.org/W4399940222"],"related_works":["https://openalex.org/W3161249280","https://openalex.org/W2267059662","https://openalex.org/W2364268683","https://openalex.org/W4388411807","https://openalex.org/W1519906715","https://openalex.org/W2478803962","https://openalex.org/W3169430512","https://openalex.org/W2384804534","https://openalex.org/W2154069781","https://openalex.org/W2304968498"],"abstract_inverted_index":{"Learning":[0],"the":[1,47,81,87,92,106,135],"underlying":[2],"dynamics":[3,50,77,89],"from":[4],"data":[5],"with":[6,38,151],"deep":[7],"neural":[8],"networks":[9],"has":[10],"shown":[11],"remarkable":[12],"potential":[13],"in":[14,25,32,53,80,99],"modeling":[15],"various":[16],"complex":[17],"physical":[18],"dynamics.":[19],"However,":[20],"current":[21],"approaches":[22],"are":[23,44],"constrained":[24],"their":[26],"ability":[27],"to":[28,40,75,104,148],"make":[29],"reliable":[30],"predictions":[31],"a":[33,61,152],"specific":[34,108],"domain":[35],"and":[36,102,134],"struggle":[37],"generalizing":[39],"unseen":[41],"systems":[42],"that":[43,71,138],"governed":[45],"by":[46,113],"same":[48],"general":[49],"but":[51],"differ":[52],"environmental":[54],"characteristics.":[55],"In":[56],"this":[57],"work,":[58],"we":[59],"formulate":[60],"parameter-efficient":[62],"method,":[63],"Fourier":[64,82,100],"Neural":[65],"Simulator":[66],"for":[67,109,120],"Dynamical":[68],"Adaptation":[69],"(FNSDA),":[70],"can":[72,140],"readily":[73],"generalize":[74],"new":[76,111],"via":[78],"adaptation":[79],"space.":[83],"Specifically,":[84],"FNSDA":[85,139],"identifies":[86],"shareable":[88],"based":[90],"on":[91,115,127],"known":[93],"environments":[94],"using":[95],"an":[96],"automatic":[97],"partition":[98],"modes":[101,107],"learns":[103],"adjust":[105],"each":[110],"environment":[112],"conditioning":[114],"low-dimensional":[116],"latent":[117],"systematic":[118],"parameters":[119],"efficient":[121],"generalization.":[122],"We":[123],"evaluate":[124],"our":[125],"approach":[126],"four":[128],"representative":[129],"families":[130],"of":[131],"dynamic":[132],"systems,":[133],"results":[136],"show":[137],"achieve":[141],"superior":[142],"or":[143],"competitive":[144],"generalization":[145],"performance":[146],"compared":[147],"existing":[149],"methods":[150],"significantly":[153],"reduced":[154],"parameter":[155],"cost.":[156],"Our":[157],"code":[158],"is":[159],"available":[160],"at":[161],"https://github.com/WonderSeven/FNSDA.":[162]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}