{"id":"https://openalex.org/W4402353782","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650080","title":"Siamese-like Time-series Forecasting with Prior Anomaly Detection and Inner Reconstruction","display_name":"Siamese-like Time-series Forecasting with Prior Anomaly Detection and Inner Reconstruction","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353782","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650080"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5080198746","display_name":"Li Shen","orcid":"https://orcid.org/0000-0001-6520-1418"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Shen","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079044133","display_name":"Yuning Wei","orcid":"https://orcid.org/0000-0002-5438-4711"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuning Wei","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114067558","display_name":"Yangzhu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangzhu Wang","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113325571","display_name":"Xuyi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyi Fan","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101597607","display_name":"Minghao Zhao","orcid":"https://orcid.org/0000-0003-2871-0023"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Zhao","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080198746"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66853111,"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":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9993000030517578,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6750244498252869},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6514077186584473},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6268690824508667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5812378525733948},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5257241129875183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.360172301530838},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2500644326210022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22211480140686035},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07580426335334778},{"id":"https://openalex.org/keywords/paleontology","display_name":"Paleontology","score":0.0744653046131134}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6750244498252869},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6514077186584473},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6268690824508667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5812378525733948},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5257241129875183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.360172301530838},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2500644326210022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22211480140686035},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07580426335334778},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0744653046131134},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2017377889","https://openalex.org/W2155490300","https://openalex.org/W2572730214","https://openalex.org/W2890678738","https://openalex.org/W2913668833","https://openalex.org/W2954731415","https://openalex.org/W2990138404","https://openalex.org/W3127386226","https://openalex.org/W3177318507","https://openalex.org/W3199148273","https://openalex.org/W3212890323","https://openalex.org/W4234761883","https://openalex.org/W4280531713","https://openalex.org/W4313156423","https://openalex.org/W4382203079","https://openalex.org/W4382318973","https://openalex.org/W4385477950","https://openalex.org/W4385488667","https://openalex.org/W4387561305","https://openalex.org/W4391250432","https://openalex.org/W6736700388","https://openalex.org/W6783596713","https://openalex.org/W6784333009","https://openalex.org/W6797155008","https://openalex.org/W6798224550","https://openalex.org/W6810225340","https://openalex.org/W6810637551","https://openalex.org/W6838200255","https://openalex.org/W6839002298","https://openalex.org/W6846376059","https://openalex.org/W6846825190","https://openalex.org/W6852968872","https://openalex.org/W6857279128","https://openalex.org/W6907814131"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"We":[0],"present":[1],"Exformer,":[2],"a":[3],"novel":[4],"Siamese-like":[5],"time-series":[6,29],"forecasting":[7,49,59,91,110,154],"Transformer":[8],"with":[9,44,161],"extended":[10],"anomaly":[11,45,123],"detection":[12,46,124],"and":[13,50,109,119,131,156],"reconstruction":[14,133],"modules.":[15],"Exformer":[16,38,65,96,116,151],"extricates":[17],"itself":[18],"from":[19,32,62,147],"addressing":[20],"the":[21,25,33,54,58,69,90,103,113,122,132],"non-stationarity,":[22,95],"which":[23,77],"is":[24,117,126,135],"principal":[26],"bottleneck":[27],"of":[28,35,71,107],"forecasting,":[30],"solely":[31],"perspective":[34],"normalization.":[36],"Instead,":[37],"foremost":[39],"analyzes":[40],"each":[41],"input":[42,75,108],"window":[43],"method":[47],"before":[48],"attempts":[51],"to":[52,101,128,137],"reconstruct":[53],"anomalous":[55],"parts":[56],"during":[57],"period.":[60],"Leveraging":[61],"this":[63],"strategy,":[64],"excels":[66],"in":[67,74,112],"mitigating":[68],"influences":[70],"pattern":[72],"anomalies":[73],"sequences,":[76],"are":[78],"virtually":[79],"insurmountable":[80],"for":[81],"existing":[82],"solutions":[83],"on":[84,158],"tackling":[85],"non-stationarity.":[86],"To":[87],"further":[88],"alleviate":[89],"turbulence":[92],"brought":[93],"by":[94],"additionally":[97],"employs":[98],"Siamese":[99],"architecture":[100],"pledge":[102],"identical":[104],"feature":[105],"distribution":[106],"windows":[111],"latent":[114],"space.":[115],"simple":[118],"direct":[120],"as":[121],"part":[125,134],"devised":[127],"be":[129,168],"non-parametric":[130],"designed":[136],"merely":[138],"make":[139],"modifications":[140],"rather":[141],"than":[142],"supplementing":[143],"additional":[144],"components.":[145],"Benefiting":[146],"exploiting":[148],"these":[149],"innovations,":[150],"achieves":[152],"state-of-the-art":[153],"accuracy":[155],"robustness":[157],"eight":[159],"benchmarks":[160],"considerable":[162],"efficiency.":[163],"The":[164],"source":[165],"code":[166],"will":[167],"released":[169],"soon.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}