{"id":"https://openalex.org/W3199111000","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533383","title":"Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction","display_name":"Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199111000","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533383","mag":"3199111000"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5021644682","display_name":"Xiang Lan","orcid":"https://orcid.org/0000-0002-0325-2065"},"institutions":[{"id":"https://openalex.org/I4210150261","display_name":"National University Health System","ror":"https://ror.org/05tjjsh18","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210150261"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xiang Lan","raw_affiliation_strings":["Saw Swee Hock School of Public Health, National University Health System, National University of Singapore,Singapore","Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Saw Swee Hock School of Public Health, National University Health System, National University of Singapore,Singapore","institution_ids":["https://openalex.org/I4210150261"]},{"raw_affiliation_string":"Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I4210150261","https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104217727","display_name":"Dianwen Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Dianwen Ng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University,Singapore","Alibaba Group, Hangzhou, China","School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330500","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-1571-5442"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Alibaba Group,Hangzhou,China","Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005995352","display_name":"Jiongzhou Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiongzhou Liu","raw_affiliation_strings":["Alibaba Group,Hangzhou,China","Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101607448","display_name":"Fan Xu","orcid":"https://orcid.org/0000-0002-1358-0193"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Xu","raw_affiliation_strings":["Alibaba Group,Hangzhou,China","Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330330","display_name":"Cheng He","orcid":"https://orcid.org/0000-0003-4218-8454"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng He","raw_affiliation_strings":["Alibaba Group,Hangzhou,China","Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022222926","display_name":"Mengling Feng","orcid":"https://orcid.org/0000-0002-5338-6248"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I4210150261","display_name":"National University Health System","ror":"https://ror.org/05tjjsh18","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210150261"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mengling Feng","raw_affiliation_strings":["Saw Swee Hock School of Public Health, National University Health System, National University of Singapore,Singapore","Institute of Data Science, National University of Singapore, Singapore","Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Saw Swee Hock School of Public Health, National University Health System, National University of Singapore,Singapore","institution_ids":["https://openalex.org/I4210150261"]},{"raw_affiliation_string":"Institute of Data Science, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I4210150261","https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5021644682"],"corresponding_institution_ids":["https://openalex.org/I165932596","https://openalex.org/I4210150261"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6335795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.975600004196167,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.975600004196167,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9753000140190125,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9696000218391418,"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/computer-science","display_name":"Computer science","score":0.7736139297485352},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5856626629829407},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5543776154518127},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5157271027565002},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5060760378837585},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.48493698239326477},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4597246050834656},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45551127195358276},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4510209560394287},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4476107358932495},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4232249855995178},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37000662088394165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3259042799472809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3107517659664154},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13309907913208008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736139297485352},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5856626629829407},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5543776154518127},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5157271027565002},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5060760378837585},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.48493698239326477},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4597246050834656},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45551127195358276},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4510209560394287},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4476107358932495},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4232249855995178},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37000662088394165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3259042799472809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3107517659664154},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13309907913208008},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1727533515","https://openalex.org/W1882958252","https://openalex.org/W2034368206","https://openalex.org/W2099471712","https://openalex.org/W2115403315","https://openalex.org/W2118676041","https://openalex.org/W2119381450","https://openalex.org/W2122838776","https://openalex.org/W2125165932","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2295598076","https://openalex.org/W2319441181","https://openalex.org/W2509298940","https://openalex.org/W2556819246","https://openalex.org/W2592989717","https://openalex.org/W2752782242","https://openalex.org/W2768348081","https://openalex.org/W2887322623","https://openalex.org/W2945142706","https://openalex.org/W2962735633","https://openalex.org/W2962858109","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2963826681","https://openalex.org/W2970971581","https://openalex.org/W2996388742","https://openalex.org/W2997310315","https://openalex.org/W3006517177","https://openalex.org/W3102476541","https://openalex.org/W4253719197","https://openalex.org/W4295312788","https://openalex.org/W4320013936","https://openalex.org/W6637646153","https://openalex.org/W6639480849","https://openalex.org/W6677844719","https://openalex.org/W6745609711","https://openalex.org/W6766978945","https://openalex.org/W6771864707"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Disk":[0],"fault":[1,42],"is":[2,163],"known":[3],"to":[4,113,140,149],"be":[5],"the":[6,13,20,25,29,45,52,62,71,75,90,94,106,143,151,183],"key":[7],"cause":[8],"of":[9,24,47,55,65,96,98],"data":[10,16,72,76,107],"loss":[11],"in":[12,34,51,74,105,194],"modern":[14],"large-scale":[15],"center,":[17,77,108],"which":[18],"affects":[19],"reliability":[21],"and":[22,27,109,147,165,181],"stability":[23],"server":[26],"even":[28],"whole":[30],"IT":[31],"infrastructure,":[32],"resulting":[33],"high":[35],"financial":[36],"cost.":[37],"Recent":[38],"works":[39],"on":[40,153],"disk":[41,56,85,100,119,187],"prediction":[43,54],"demonstrate":[44],"ability":[46],"machine":[48],"learning":[49],"techniques":[50],"early":[53],"failure.":[57],"However,":[58],"two":[59],"limitations":[60],"hinder":[61],"real-world":[63,195],"application":[64],"current":[66,110],"methods.":[67],"First,":[68],"they":[69],"ignore":[70],"heterogeneity":[73],"where":[78,189],"distribution":[79,144],"shifts":[80],"commonly":[81],"exist":[82],"across":[83],"different":[84,99],"model":[86,101,120,162,173],"types":[87,102,121],"that":[88,159],"decrease":[89],"model's":[91],"performance.":[92],"Second,":[93],"number":[95],"disks":[97],"varies":[103],"greatly":[104],"methods":[111],"failed":[112],"deliver":[114],"an":[115],"acceptable":[116],"performance":[117,152],"over":[118],"with":[122,135],"few":[123],"training":[124],"samples.":[125],"To":[126],"address":[127],"these":[128],"limitations,":[129],"we":[130],"propose":[131],"adversarial":[132],"domain":[133],"adaptation":[134],"correlation-based":[136],"association":[137],"networks":[138],"(ADA-CBAN)":[139],"both":[141,190],"mitigate":[142],"shift":[145],"problem":[146],"also":[148,176],"boost":[150],"small-scaled":[154],"data.":[155],"Extensive":[156],"experiments":[157],"prove":[158],"our":[160,171],"proposed":[161],"effective":[164],"achieves":[166],"new":[167],"state-of-the-art.":[168],"In":[169],"addition,":[170],"post":[172],"analysis":[174],"can":[175],"reveal":[177],"important":[178],"feature":[179],"interactions":[180],"highlight":[182],"crucial":[184],"period":[185],"before":[186],"faults,":[188],"are":[191],"useful":[192],"information":[193],"applications.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}