{"id":"https://openalex.org/W4315630410","doi":"https://doi.org/10.1109/paap56126.2022.10010358","title":"MCVAE: Multi-channel Variational Autoencoder for Anomaly Detection","display_name":"MCVAE: Multi-channel Variational Autoencoder for Anomaly Detection","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4315630410","doi":"https://doi.org/10.1109/paap56126.2022.10010358"},"language":"en","primary_location":{"id":"doi:10.1109/paap56126.2022.10010358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/paap56126.2022.10010358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)","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/A5101078490","display_name":"Wanzhen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]},{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzhen Zhang","raw_affiliation_strings":["Guilin University of Aerospace Technology, (College of Information Science and Technology Zhongkai University of Agriculture and Engineering),Engineering Trainning Center,Guilin,China","Engineering Trainning Center, Guilin University of Aerospace Technology, (College of Information Science and Technology Zhongkai University of Agriculture and Engineering), Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Aerospace Technology, (College of Information Science and Technology Zhongkai University of Agriculture and Engineering),Engineering Trainning Center,Guilin,China","institution_ids":["https://openalex.org/I38706770","https://openalex.org/I3129996945","https://openalex.org/I5343935"]},{"raw_affiliation_string":"Engineering Trainning Center, Guilin University of Aerospace Technology, (College of Information Science and Technology Zhongkai University of Agriculture and Engineering), Guilin, China","institution_ids":["https://openalex.org/I3129996945","https://openalex.org/I94357780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112121359","display_name":"Liheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liheng Xu","raw_affiliation_strings":["Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I94357780"]},{"raw_affiliation_string":"College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100528577","display_name":"Zhihui Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Yu","raw_affiliation_strings":["Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I94357780"]},{"raw_affiliation_string":"College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102982739","display_name":"Zikai Zhang","orcid":"https://orcid.org/0000-0002-0371-1268"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikai Zhang","raw_affiliation_strings":["Beijing Jiaotong University,State Key Lab of Rail Traffic Control & Safety,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,State Key Lab of Rail Traffic Control & Safety,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019427865","display_name":"Tonglai Liu","orcid":"https://orcid.org/0000-0002-1845-5623"},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonglai Liu","raw_affiliation_strings":["Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I94357780"]},{"raw_affiliation_string":"College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051181135","display_name":"Shuangyin Liu","orcid":"https://orcid.org/0000-0002-4068-1096"},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangyin Liu","raw_affiliation_strings":["Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongkai University of Agriculture and Engineering,College of Information Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I94357780"]},{"raw_affiliation_string":"College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I94357780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5753647,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9884999990463257,"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/autoencoder","display_name":"Autoencoder","score":0.8860068321228027},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7845243215560913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7244765758514404},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6003462076187134},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5447403788566589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4948224425315857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4852178394794464},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4686628580093384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43087053298950195},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42903637886047363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33749067783355713},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.30033600330352783}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8860068321228027},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7845243215560913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244765758514404},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6003462076187134},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5447403788566589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4948224425315857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4852178394794464},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4686628580093384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43087053298950195},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42903637886047363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33749067783355713},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30033600330352783},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/paap56126.2022.10010358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/paap56126.2022.10010358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2044170013","https://openalex.org/W2125388816","https://openalex.org/W2611452998","https://openalex.org/W2741951152","https://openalex.org/W2785362611","https://openalex.org/W2787637551","https://openalex.org/W2809998874","https://openalex.org/W2885367966","https://openalex.org/W2886577208","https://openalex.org/W2890235427","https://openalex.org/W2905196628","https://openalex.org/W2910068345","https://openalex.org/W2912305564","https://openalex.org/W2963044043","https://openalex.org/W2963375116","https://openalex.org/W2963538198","https://openalex.org/W2971019578","https://openalex.org/W3098957257","https://openalex.org/W3135689189","https://openalex.org/W3153872861","https://openalex.org/W4293417080","https://openalex.org/W4297814361","https://openalex.org/W6685777803","https://openalex.org/W6720514713","https://openalex.org/W6737606637","https://openalex.org/W6748218664","https://openalex.org/W6752811298","https://openalex.org/W6753320262","https://openalex.org/W6754172774","https://openalex.org/W6758101687","https://openalex.org/W6758841785","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","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/W2667207928"],"abstract_inverted_index":{"Unsupervised":[0],"anomaly":[1,40,59,146,174],"detection":[2,60,175],"is":[3,36,151],"a":[4,62,93,153,161],"very":[5],"important":[6],"problem":[7],"due":[8,42],"to":[9,43,97],"its":[10],"wide":[11],"applications":[12],"in":[13,39,47,88],"many":[14],"systems":[15],"such":[16],"as":[17],"the":[18,22,27,44,73,109,114,123,127,148,172],"network":[19],"communication":[20],"system,":[21],"Internet":[23],"of":[24,32,117],"Things,":[25],"and":[26,78,130,137,165],"ICS":[28],"system.":[29],"Interpretable":[30],"modeling":[31],"heterogeneous":[33],"data":[34],"channels":[35],"also":[37,121],"essential":[38],"detection,":[41],"intrinsic":[45],"multi-modality":[46],"multi-channel":[48,94],"multi-dimension":[49],"data.":[50],"Some":[51],"existing":[52,179],"works":[53],"use":[54],"variational":[55],"autoencoder":[56],"(VAE)":[57],"for":[58,100],"with":[61,178],"single":[63],"Gaussian":[64],"distribution":[65,75],"model.":[66],"However,":[67],"these":[68],"VAE":[69,95],"can":[70],"not":[71],"learn":[72],"complex":[74],"between":[76,133],"features,":[77],"hence":[79],"cannot":[80],"make":[81],"accurate":[82],"detections.":[83],"To":[84],"tackle":[85],"this":[86,89],"challenge,":[87],"paper,":[90],"we":[91,107],"propose":[92],"model":[96],"jointly":[98],"account":[99],"latent":[101],"relationships":[102],"across":[103],"multiple":[104],"channels.":[105],"Moreover,":[106],"explore":[108,122],"training":[110],"loss":[111,116,125,150],"function":[112],"combining":[113,126],"reconstruction":[115,128,131],"each":[118,138],"channel.":[119],"We":[120,156],"test":[124,149],"probability":[129],"ratio":[132],"global":[134],"channel":[135,139],"information":[136],"information.":[140],"The":[141],"proposed":[142,169],"detector":[143],"reports":[144],"an":[145],"when":[147],"below":[152],"certain":[154],"threshold.":[155],"conduct":[157],"extensive":[158],"simulations":[159],"on":[160],"real":[162],"world":[163],"dataset":[164],"find":[166],"that":[167],"our":[168],"scheme":[170],"outperforms":[171],"state-of-the-art":[173],"schemes":[176],"compared":[177],"methods.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}