{"id":"https://openalex.org/W7137939848","doi":"https://doi.org/10.1609/aaai.v40i24.39042","title":"FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition","display_name":"FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137939848","doi":"https://doi.org/10.1609/aaai.v40i24.39042"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i24.39042","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i24.39042","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39042/43004","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39042/43004","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhongde An","orcid":null},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongde An","raw_affiliation_strings":["Shanghai University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinhong You","orcid":null},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhong You","raw_affiliation_strings":["Shanghai University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiyanglin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyanglin Li","raw_affiliation_strings":["Guizhou University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University of Finance and Economics","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiming Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I146613903","display_name":"Shanghai Lixin University of Accounting and Finance","ror":"https://ror.org/02g81yf77","country_code":"CN","type":"education","lineage":["https://openalex.org/I146613903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Tang","raw_affiliation_strings":["Shanghai Lixin University of Accounting and Finance"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Lixin University of Accounting and Finance","institution_ids":["https://openalex.org/I146613903"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I905225518","display_name":"Shanghai University of International Business and Economics","ror":"https://ror.org/031t68441","country_code":"CN","type":"education","lineage":["https://openalex.org/I905225518"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Li","raw_affiliation_strings":["Shanghai University of International Business and Economics,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of International Business and Economics,","institution_ids":["https://openalex.org/I905225518"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Heming Du","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Heming Du","raw_affiliation_strings":["Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shouguo Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210165456","display_name":"Shanghai Municipal People's Government","ror":"https://ror.org/05xp2yp46","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165456"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouguo Du","raw_affiliation_strings":["Shanghai Municipal Big Data Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Municipal Big Data Center","institution_ids":["https://openalex.org/I4210165456","https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"24","first_page":"19623","last_page":"19631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.24529999494552612,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.24529999494552612,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.19709999859333038,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.15369999408721924,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6194000244140625},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.51910001039505},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5074999928474426},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45249998569488525},{"id":"https://openalex.org/keywords/spectral-leakage","display_name":"Spectral leakage","score":0.4359999895095825},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42980000376701355},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41130000352859497},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4011000096797943},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.38440001010894775}],"concepts":[{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6194000244140625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5982999801635742},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5074999928474426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45719999074935913},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45249998569488525},{"id":"https://openalex.org/C113407356","wikidata":"https://www.wikidata.org/wiki/Q1431214","display_name":"Spectral leakage","level":3,"score":0.4359999895095825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43540000915527344},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4011000096797943},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.38440001010894775},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C145242015","wikidata":"https://www.wikidata.org/wiki/Q774123","display_name":"Approximation theory","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.298799991607666},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C121040770","wikidata":"https://www.wikidata.org/wiki/Q215675","display_name":"Quantum entanglement","level":3,"score":0.25450000166893005},{"id":"https://openalex.org/C23463724","wikidata":"https://www.wikidata.org/wiki/Q2308831","display_name":"Spectral method","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i24.39042","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i24.39042","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39042/43004","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i24.39042","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i24.39042","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39042/43004","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7137939848.pdf","grobid_xml":"https://content.openalex.org/works/W7137939848.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Time":[0],"series":[1],"forecasting":[2,147],"is":[3],"essential":[4],"in":[5,105],"a":[6,93,112],"wide":[7],"range":[8],"of":[9,44,54,69,121],"real":[10],"world":[11],"applications.":[12],"Recently,":[13],"frequency-domain":[14,131],"methods":[15,35,154],"have":[16],"attracted":[17],"increasing":[18],"interest":[19],"for":[20],"their":[21],"ability":[22],"to":[23,30,51,63,77,98,117,157],"capture":[24],"global":[25],"dependencies.":[26],"However,":[27,71],"when":[28],"applied":[29],"non-stationary":[31],"time":[32],"series,":[33],"these":[34],"encounter":[36],"the":[37,41,52,60,67,86,106,119,130,170],"spectral":[38,48,64,79],"entanglement":[39,49],"and":[40,57,66,101,134,173],"computational":[42,174],"burden":[43],"complex-valued":[45,122,163],"learning.":[46],"The":[47],"refers":[50],"overlap":[53],"trends,":[55],"periodicities,":[56],"noise":[58],"across":[59],"spectrum":[61],"due":[62],"leakage":[65],"presence":[68],"non-stationarity.":[70],"existing":[72],"decompositions":[73],"are":[74],"not":[75],"suited":[76],"resolving":[78],"entanglement.":[80],"To":[81],"address":[82],"this,":[83],"we":[84,110],"propose":[85,111],"Frequency":[87,95],"Decomposition":[88],"Network":[89],"(FreDN),":[90],"which":[91],"introduces":[92],"learnable":[94],"Disentangler":[96],"module":[97],"separate":[99],"trend":[100],"periodic":[102],"components":[103],"directly":[104],"frequency":[107],"domain.":[108],"Furthermore,":[109,159],"theoretically":[113],"supported":[114],"ReIm":[115],"Block":[116],"reduce":[118],"complexity":[120],"operations":[123],"while":[124],"maintaining":[125],"performance.":[126],"We":[127],"also":[128],"re-examine":[129],"loss":[132],"function":[133],"provide":[135],"new":[136],"theoretical":[137],"insights":[138],"into":[139],"its":[140],"effectiveness.":[141],"Extensive":[142],"experiments":[143],"on":[144],"seven":[145],"long-term":[146],"benchmarks":[148],"demonstrate":[149],"that":[150],"FreDN":[151],"outperforms":[152],"state-of-the-art":[153],"by":[155,176],"up":[156],"10%.":[158],"compared":[160],"with":[161],"standard":[162],"architectures,":[164],"our":[165],"real-imaginary":[166],"shared-parameter":[167],"design":[168],"reduces":[169],"parameter":[171],"count":[172],"cost":[175],"at":[177],"least":[178],"50%.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-11T00:00:00"}
