{"id":"https://openalex.org/W4416251892","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227199","title":"DAEM: A Decomposed Attention-Enhanced Mamba Model for Multivariate Time Series Forecasting","display_name":"DAEM: A Decomposed Attention-Enhanced Mamba Model for Multivariate Time Series Forecasting","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251892","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227199"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5002423609","display_name":"Li Wen","orcid":"https://orcid.org/0000-0002-1498-3103"},"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,School of Statistics and Information,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of International Business and Economics,School of Statistics and Information,Shanghai,China","institution_ids":["https://openalex.org/I905225518"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054869320","display_name":"Jiaxin Yuan","orcid":"https://orcid.org/0000-0002-5197-7685"},"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":"Jiaxin Yuan","raw_affiliation_strings":["Shanghai University of International Business and Economics,School of Statistics and Information,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of International Business and Economics,School of Statistics and Information,Shanghai,China","institution_ids":["https://openalex.org/I905225518"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069395028","display_name":"Heming Du","orcid":"https://orcid.org/0000-0002-7391-0449"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Heming Du","raw_affiliation_strings":["The University of Queensland,School of Electrical Engineering and Computer Science,Brisbane,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland,School of Electrical Engineering and Computer Science,Brisbane,Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078709300","display_name":"Jiyanglin Li","orcid":"https://orcid.org/0000-0003-4723-4886"},"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"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyanglin Li","raw_affiliation_strings":["Guizhou University of Finance and Economics,Guizhou Key Laboratory of Big Data Statistical Analysis, School of Mathematics and Statistics,Guizhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University of Finance and Economics,Guizhou Key Laboratory of Big Data Statistical Analysis, School of Mathematics and Statistics,Guizhou,China","institution_ids":["https://openalex.org/I170172562","https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051550625","display_name":"Shouguo Du","orcid":"https://orcid.org/0000-0002-3568-177X"},"institutions":[{"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,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Municipal Big Data Center,Shanghai,China","institution_ids":["https://openalex.org/I4210165456"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065006383","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,School of Statistics and Mathematics,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Lixin University of Accounting and Finance,School of Statistics and Mathematics,Shanghai,China","institution_ids":["https://openalex.org/I146613903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.5867999792098999,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.5867999792098999,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.1606999933719635,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.07829999923706055,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7695000171661377},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6115999817848206},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5867000222206116},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5771999955177307},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4675999879837036}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7695000171661377},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6115999817848206},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5771999955177307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4781999886035919},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4675999879837036},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36230000853538513},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34779998660087585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3368000090122223},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.26579999923706055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325553","display_name":"Shanghai University","ror":"https://ror.org/006teas31"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2112796928","https://openalex.org/W2149706766","https://openalex.org/W2167036165","https://openalex.org/W2290960045","https://openalex.org/W2604847698","https://openalex.org/W3109001458","https://openalex.org/W4220947551","https://openalex.org/W4239510810","https://openalex.org/W4292483811","https://openalex.org/W4319300040","https://openalex.org/W4382203079","https://openalex.org/W4385245566","https://openalex.org/W4386071636","https://openalex.org/W4402798568","https://openalex.org/W4402799293","https://openalex.org/W4404801477","https://openalex.org/W4405386924"],"related_works":[],"abstract_inverted_index":{"Multivariate":[0],"time":[1,28,98,119],"series":[2,120],"forecasting":[3],"(MTSF)":[4],"is":[5],"a":[6,72],"critical":[7],"task":[8],"with":[9,76],"applications":[10],"spanning":[11],"diverse":[12],"domains.":[13],"Effective":[14],"MTSF":[15],"requires":[16],"capturing":[17],"both":[18,102],"inter-series":[19,103],"dependencies,":[20],"which":[21,33,70],"represent":[22],"the":[23,35,44,64,81,92,124,141],"intricate":[24,93],"relationships":[25,94],"among":[26],"multiple":[27],"series,":[29],"and":[30,38,53,80,91,105,117,152],"intra-series":[31,106],"dynamics,":[32,107],"reflect":[34],"temporal":[36],"patterns":[37],"variations":[39],"within":[40],"individual":[41],"series.":[42,99],"However,":[43],"complexity":[45],"of":[46,126,143],"real-world":[47],"data,":[48],"marked":[49],"by":[50],"nonlinearity,":[51],"noise,":[52],"dynamic":[54,87],"fluctuations,":[55],"presents":[56],"significant":[57],"challenges.":[58],"In":[59],"this":[60,108],"paper,":[61],"we":[62,128],"propose":[63],"Decomposed":[65],"Attention-Enhanced":[66],"Mamba":[67,82],"Model":[68],"(DAEM),":[69],"combines":[71],"learnable":[73],"decomposition":[74],"strategy":[75],"an":[77],"attention-based":[78],"module":[79],"architecture":[83],"to":[84,113],"effectively":[85],"capture":[86],"trends,":[88],"seasonal":[89],"patterns,":[90],"inherent":[95],"in":[96],"multivariate":[97],"By":[100],"addressing":[101],"dependencies":[104],"innovative":[109],"design":[110],"enables":[111],"DAEM":[112],"achieve":[114],"more":[115],"accurate":[116],"robust":[118],"forecasting.":[121],"To":[122],"evaluate":[123],"effectiveness":[125],"DAEM,":[127],"conducted":[129],"extensive":[130],"experiments":[131],"on":[132],"eight":[133],"widely":[134],"used":[135],"benchmark":[136],"datasets.":[137],"The":[138],"results":[139],"demonstrate":[140],"superiority":[142],"our":[144],"approach,":[145],"achieving":[146],"35":[147],"first-place":[148,154],"rankings":[149,155],"for":[150,156],"MSE":[151],"28":[153],"MAE.":[157]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}