{"id":"https://openalex.org/W4312792616","doi":"https://doi.org/10.1109/case49997.2022.9926721","title":"Attention-based Representation Learning for Time Series with Principal and Residual Space Monitoring","display_name":"Attention-based Representation Learning for Time Series with Principal and Residual Space Monitoring","publication_year":2022,"publication_date":"2022-08-20","ids":{"openalex":"https://openalex.org/W4312792616","doi":"https://doi.org/10.1109/case49997.2022.9926721"},"language":"en","primary_location":{"id":"doi:10.1109/case49997.2022.9926721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49997.2022.9926721","pdf_url":null,"source":{"id":"https://openalex.org/S4363607892","display_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","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/A5100606646","display_name":"Botao Wang","orcid":"https://orcid.org/0000-0002-7206-0331"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I2800906782","display_name":"Hong Kong Science and Technology Parks Corporation","ror":"https://ror.org/05q8mqd91","country_code":"HK","type":"nonprofit","lineage":["https://openalex.org/I2800906782"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Botao Wang","raw_affiliation_strings":["Hong Kong University of Technology and Science,Data Science, Information Hub,Hong Kong SAR,China","Data Science, Information Hub, Hong Kong University of Technology and Science, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Technology and Science,Data Science, Information Hub,Hong Kong SAR,China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I2800906782","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Data Science, Information Hub, Hong Kong University of Technology and Science, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048627515","display_name":"Fugee Tsung","orcid":"https://orcid.org/0000-0002-0575-8254"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fugee Tsung","raw_affiliation_strings":["Hong Kong University of Technology and Science,Faculty of Data Science, Information Hub,Hong Kong SAR,China","Faculty of Data Science, Information Hub, Hong Kong University of Technology and Science, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Technology and Science,Faculty of Data Science, Information Hub,Hong Kong SAR,China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Faculty of Data Science, Information Hub, Hong Kong University of Technology and Science, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100652901","display_name":"Hao Yan","orcid":"https://orcid.org/0000-0002-4322-7323"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yan","raw_affiliation_strings":["Arizona State University,Faculty of the School of Computing, Informatics, and Decision Systems Engineering,Tempe,AZ,USA,85281"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University,Faculty of the School of Computing, Informatics, and Decision Systems Engineering,Tempe,AZ,USA,85281","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":"1833","last_page":"1839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9204000234603882,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7550439238548279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7173905968666077},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.636136531829834},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6203523278236389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5978681445121765},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5189763903617859},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5184388160705566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5096535682678223},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4786147475242615},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46338993310928345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3956161439418793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3931792974472046},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.363777756690979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26226794719696045},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22089391946792603}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7550439238548279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173905968666077},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.636136531829834},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6203523278236389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978681445121765},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5189763903617859},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5184388160705566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5096535682678223},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4786147475242615},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46338993310928345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3956161439418793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3931792974472046},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.363777756690979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26226794719696045},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22089391946792603},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/case49997.2022.9926721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49997.2022.9926721","pdf_url":null,"source":{"id":"https://openalex.org/S4363607892","display_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-123607","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000927622400210","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810"],"abstract_inverted_index":{"The":[0,122],"encoder-decoder":[1],"network":[2],"is":[3,22,29,133],"one":[4],"of":[5,168],"the":[6,42,53,56,61,66,70,75,79,83,87,100,126,130,142,147,152,161,166,169,176],"most":[7],"common":[8,35],"deep":[9],"learning":[10,16],"models":[11],"for":[12],"time":[13,26],"series":[14],"representation":[15,51,96,127,171],"and":[17,32,49,55,90,106,118,149,158,172],"anomaly":[18,104],"detection.":[19],"However,":[20],"it":[21],"hard":[23],"to":[24,45,74,94,103,136,146],"reconstruct":[25],"series,":[27],"which":[28,164],"complex,":[30],"correlated,":[31],"lacking":[33],"in":[34,52,78,141,160,175],"patterns.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,64],"apply":[41,99],"attention":[43,76],"mechanism":[44],"rescale":[46],"convolution":[47],"layers":[48],"learn":[50],"principal":[54],"residual":[57,67,143],"space.":[58,144],"To":[59],"avoid":[60],"reconstruction":[62],"process,":[63],"define":[65],"space":[68],"by":[69,129,138],"omitted":[71],"segments":[72],"according":[73],"score":[77],"encoder.":[80],"We":[81,98],"introduce":[82],"temporal":[84],"information":[85],"inside":[86],"token":[88],"level":[89],"use":[91],"sparse":[92],"penalty":[93],"improve":[95],"learning.":[97],"proposed":[101,131,153],"model":[102,132,154],"classification":[105],"fault":[107,116],"detection":[108],"experiments":[109],"on":[110],"two":[111],"datasets,":[112],"i.e.":[113],"multivariate":[114],"bearing":[115],"dataset":[117],"UCRArchive":[119],"profile":[120],"dataset.":[121],"result":[123],"shows":[124],"that":[125],"learned":[128,170],"more":[134],"likely":[135],"cluster":[137],"category,":[139],"especially":[140],"Compared":[145],"baselines":[148],"state-of-the-art":[150],"models,":[151],"has":[155],"higher":[156],"accuracy":[157],"recall":[159],"limited-labeled":[162],"situation,":[163],"illustrates":[165],"stability":[167],"its":[173],"superiority":[174],"downstream":[177],"tasks.":[178]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}