{"id":"https://openalex.org/W4396758618","doi":"https://doi.org/10.1145/3589334.3645429","title":"Weakly Supervised Anomaly Detection via Knowledge-Data Alignment","display_name":"Weakly Supervised Anomaly Detection via Knowledge-Data Alignment","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396758618","doi":"https://doi.org/10.1145/3589334.3645429"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645429","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","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/A5063750649","display_name":"Haihong Zhao","orcid":"https://orcid.org/0000-0003-4188-6517"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haihong Zhao","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093887439","display_name":"Chenyi Zi","orcid":"https://orcid.org/0009-0009-0434-6707"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenyi Zi","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355835","display_name":"Yang Liu","orcid":null},"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"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010087265","display_name":"Christine Zhang","orcid":"https://orcid.org/0000-0002-6459-6283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["CreateLink Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"CreateLink Technology, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056991032","display_name":"Yan Zhou","orcid":"https://orcid.org/0009-0005-7385-5186"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Zhou","raw_affiliation_strings":["CreateLink Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"CreateLink Technology, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405697","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-6362-4385"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063750649"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1276,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92348811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4083","last_page":"4094"},"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7810044288635254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6632221937179565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4495762288570404},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4160589575767517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.364956796169281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34239697456359863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07188841700553894}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7810044288635254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6632221937179565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4495762288570404},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4160589575767517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.364956796169281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34239697456359863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07188841700553894},{"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":2,"locations":[{"id":"doi:10.1145/3589334.3645429","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-138593","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-138593","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1485784252","https://openalex.org/W1986660301","https://openalex.org/W2010438070","https://openalex.org/W2064058256","https://openalex.org/W2105197197","https://openalex.org/W2122111042","https://openalex.org/W2128420091","https://openalex.org/W2136891251","https://openalex.org/W2144798162","https://openalex.org/W2584401436","https://openalex.org/W2767656849","https://openalex.org/W2793712294","https://openalex.org/W2807955733","https://openalex.org/W2808610674","https://openalex.org/W2913015533","https://openalex.org/W2952179887","https://openalex.org/W2954655225","https://openalex.org/W2966675913","https://openalex.org/W2997591727","https://openalex.org/W3128318087","https://openalex.org/W3136671554","https://openalex.org/W3152507776","https://openalex.org/W3165716503","https://openalex.org/W3167308647","https://openalex.org/W3174082502","https://openalex.org/W3202969914","https://openalex.org/W4210778175","https://openalex.org/W4232743627","https://openalex.org/W4244912030","https://openalex.org/W4282943426","https://openalex.org/W4287114832","https://openalex.org/W4290877962","https://openalex.org/W4290927728","https://openalex.org/W4300421399","https://openalex.org/W4306177947","https://openalex.org/W4312433903","https://openalex.org/W4367016885","https://openalex.org/W4367046806","https://openalex.org/W4367663119","https://openalex.org/W4367721843","https://openalex.org/W4382322788","https://openalex.org/W4383468961","https://openalex.org/W4385284171","https://openalex.org/W4385567925","https://openalex.org/W4385572193","https://openalex.org/W4386185183","https://openalex.org/W6600237248","https://openalex.org/W6600822972","https://openalex.org/W6608782863","https://openalex.org/W6630595383","https://openalex.org/W6839423781","https://openalex.org/W6839719062","https://openalex.org/W6888909630","https://openalex.org/W6926399712"],"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/W2033914206"],"abstract_inverted_index":{"Anomaly":[0,45],"detection":[1,35],"(AD)":[2],"plays":[3],"a":[4,52,88],"pivotal":[5],"role":[6],"in":[7],"numerous":[8],"web-based":[9],"applications,":[10],"including":[11],"malware":[12],"detection,":[13,18],"anti-money":[14],"laundering,":[15],"device":[16],"failure":[17],"and":[19,118,130],"network":[20],"fault":[21],"analysis.":[22],"Most":[23],"methods,":[24],"which":[25],"rely":[26],"on":[27,71,165],"unsupervised":[28],"learning,":[29],"are":[30,189],"hard":[31],"to":[32,38,59,78,80,94,103,154],"reach":[33],"satisfactory":[34],"accuracy":[36],"due":[37],"the":[39,105,115,121,126,138,146,155],"lack":[40],"of":[41,55,75,123,128,159],"labels.":[42],"Weakly":[43],"Supervised":[44],"Detection":[46],"(WSAD)":[47],"has":[48],"been":[49],"introduced":[50],"with":[51],"limited":[53,106],"number":[54],"labeled":[56,76,107],"anomaly":[57,185],"samples":[58],"enhance":[60],"model":[61],"performance.":[62],"Nevertheless,":[63],"it":[64],"is":[65],"still":[66],"challenging":[67],"for":[68],"models,":[69],"trained":[70],"an":[72,150],"inadequate":[73],"amount":[74],"data,":[77],"generalize":[79],"unseen":[81],"anomalies.":[82],"In":[83],"this":[84,134],"paper,":[85],"we":[86,110,136],"introduce":[87],"novel":[89],"framework,":[90],"Knowledge-Data":[91],"Alignment":[92],"(KDAlign),":[93],"integrate":[95],"rule":[96],"knowledge,":[97],"typically":[98],"summarized":[99],"by":[100],"human":[101],"experts,":[102],"supplement":[104],"data.":[108,131],"Specifically,":[109],"transpose":[111],"these":[112],"rules":[113],"into":[114],"knowledge":[116,124,129],"space":[117],"subsequently":[119],"recast":[120],"incorporation":[122],"as":[125,149],"alignment":[127],"To":[132],"facilitate":[133],"alignment,":[135],"employ":[137],"Optimal":[139],"Transport":[140],"(OT)":[141],"technique.":[142],"We":[143],"then":[144],"incorporate":[145],"OT":[147],"distance":[148],"additional":[151],"loss":[152],"term":[153],"original":[156],"objective":[157],"function":[158],"WSAD":[160],"methodologies.":[161],"Comprehensive":[162],"experimental":[163],"results":[164],"five":[166],"real-world":[167],"datasets":[168],"demonstrate":[169],"that":[170],"our":[171],"proposed":[172],"KDAlign":[173],"framework":[174],"markedly":[175],"surpasses":[176],"its":[177],"state-of-the-art":[178],"counterparts,":[179],"achieving":[180],"superior":[181],"performance":[182],"across":[183],"various":[184],"types.":[186],"Our":[187],"codes":[188],"released":[190],"at":[191],"https://github.com/cshhzhao/KDAlign.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
