{"id":"https://openalex.org/W4408355974","doi":"https://doi.org/10.1109/icassp49660.2025.10887716","title":"MoME: Mixture of Multi-Domain Experts for Multivariate Long-Term Series Forecasting","display_name":"MoME: Mixture of Multi-Domain Experts for Multivariate Long-Term Series Forecasting","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355974","doi":"https://doi.org/10.1109/icassp49660.2025.10887716"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100406103","display_name":"Xinyu Li","orcid":"https://orcid.org/0009-0009-1625-3938"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101996455","display_name":"Zhiheng Yang","orcid":"https://orcid.org/0009-0005-3721-2650"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Yang","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007119937","display_name":"Hao Xu","orcid":"https://orcid.org/0000-0003-1190-2897"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Xu","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113183418","display_name":"Yunqi Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqi Cai","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111215839","display_name":"Hong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Lu","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327844","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0001-8639-3818"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003998216","display_name":"Jin Zhao","orcid":"https://orcid.org/0000-0002-9807-2648"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhao","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084587844","display_name":"Feng Qi","orcid":"https://orcid.org/0000-0001-6349-179X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenglin Qi","raw_affiliation_strings":["Fudan University,Informatization Office,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Informatization Office,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052900790","display_name":"Jiajie Shen","orcid":"https://orcid.org/0000-0002-6479-5063"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Shen","raw_affiliation_strings":["Fudan University,Informatization Office,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Informatization Office,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04400882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9460999965667725,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9460999965667725,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7234136462211609},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7015163898468018},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6702835559844971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6535226106643677},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5213229060173035},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5113949179649353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3846037685871124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33466336131095886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27722296118736267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1928909718990326},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0492863655090332}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7234136462211609},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7015163898468018},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6702835559844971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535226106643677},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5213229060173035},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5113949179649353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3846037685871124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33466336131095886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27722296118736267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1928909718990326},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0492863655090332},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1976975339","https://openalex.org/W1979575715","https://openalex.org/W1983662669","https://openalex.org/W1999996900","https://openalex.org/W2002952259","https://openalex.org/W2070382733","https://openalex.org/W2072319808","https://openalex.org/W2090695035","https://openalex.org/W2112796928","https://openalex.org/W2116512828","https://openalex.org/W2135691157","https://openalex.org/W2295598076","https://openalex.org/W2604847698","https://openalex.org/W2885195348","https://openalex.org/W2944851425","https://openalex.org/W2963608065","https://openalex.org/W2980994438","https://openalex.org/W3045642713","https://openalex.org/W3154291377","https://openalex.org/W3177318507","https://openalex.org/W4230410911","https://openalex.org/W4235154503","https://openalex.org/W4239510810","https://openalex.org/W4382203079","https://openalex.org/W4382239131","https://openalex.org/W4393147362"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W2980611886","https://openalex.org/W42295635","https://openalex.org/W1991765889","https://openalex.org/W1973996291","https://openalex.org/W2118640767","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Time":[0],"series":[1,9,56,76],"forecasting":[2,10],"is":[3,162],"always":[4],"important,":[5],"with":[6],"multivariate":[7,54],"long-term":[8,55],"being":[11],"its":[12],"most":[13,59],"challenging":[14],"task.":[15],"Here,":[16],"the":[17,78,101,110,122,135],"existing":[18,60],"methods":[19],"typically":[20],"learn":[21,84],"only":[22],"in":[23,109],"a":[24,46],"single":[25],"domain":[26,115],"and":[27,38,68,80,95,141,147],"focus":[28],"on":[29,64,121],"optimizing":[30],"model":[31],"structures,":[32],"leading":[33],"to":[34,83,100,125],"incomplete":[35],"information":[36,66,91,143],"mining":[37,67],"imprecise":[39],"predictions.":[40],"To":[41,70],"address":[42],"this,":[43],"we":[44],"propose":[45],"generalized":[47],"Mixture":[48],"of":[49],"Multi-Domain":[50],"Experts":[51],"(MoME)":[52],"for":[53],"forecasting.":[57],"Unlike":[58],"methods,":[61],"MoME":[62,73,88,117,133,156],"focuses":[63],"multi-perspective":[65],"fusing.":[69],"this":[71],"end,":[72],"transforms":[74],"time":[75,102,150],"into":[77],"frequency":[79,111],"spatial":[81,114],"domains":[82],"their":[85],"respective":[86],"representations.":[87],"regards":[89],"variates":[90,123],"as":[92],"embedded":[93,107],"features":[94,108],"applies":[96,118],"fast":[97],"Fourier":[98],"transform":[99],"dimension.":[103],"Then":[104],"it":[105],"learns":[106],"domain.":[112],"In":[113],"learning,":[116],"self-attention":[119],"mechanism":[120],"dimension":[124],"efficiently":[126],"capture":[127],"dependencies":[128],"among":[129],"multiple":[130,145],"variates.":[131],"Finally,":[132],"fuses":[134],"outputs":[136],"from":[137],"all":[138],"domains,":[139,146],"reinterprets":[140],"integrates":[142],"across":[144],"predicts":[148],"future":[149],"series.":[151],"Extensive":[152],"experiments":[153],"prove":[154],"that":[155],"outperforms":[157],"state-of-the-art":[158],"(SOTA)":[159],"methods.":[160],"Code":[161],"available":[163],"at:":[164],"https://github.com/lxy-PhD2022/MoME":[165]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
