{"id":"https://openalex.org/W4226072527","doi":"https://doi.org/10.1145/3507548.3508229","title":"LCR-GAN: Learning Crucial Representation for Anomaly Detection","display_name":"LCR-GAN: Learning Crucial Representation for Anomaly Detection","publication_year":2021,"publication_date":"2021-12-04","ids":{"openalex":"https://openalex.org/W4226072527","doi":"https://doi.org/10.1145/3507548.3508229"},"language":"en","primary_location":{"id":"doi:10.1145/3507548.3508229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3508229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","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/A5100435092","display_name":"Shuo Liu","orcid":"https://orcid.org/0000-0001-7632-9273"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Liu","raw_affiliation_strings":["College of Science, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087197748","display_name":"Liwen Xu","orcid":"https://orcid.org/0000-0003-2133-8257"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwen Xu","raw_affiliation_strings":["College of Science, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109542267","display_name":"Jinru Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinru Wang","raw_affiliation_strings":["College of Science, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063605100","display_name":"Yan Sun","orcid":"https://orcid.org/0000-0001-5256-9571"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Sun","raw_affiliation_strings":["College of Science, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060858046","display_name":"Zeran Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeran Qin","raw_affiliation_strings":["College of Science, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100435092"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58325007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"167"},"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":0.9898999929428101,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.8344281315803528},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7569582462310791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6786516904830933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6622655391693115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5701179504394531},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4421890377998352},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44102850556373596},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4383937418460846},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4347849190235138},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42666614055633545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35137391090393066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32738518714904785}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8344281315803528},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7569582462310791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786516904830933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6622655391693115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5701179504394531},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4421890377998352},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44102850556373596},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4383937418460846},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4347849190235138},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42666614055633545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35137391090393066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32738518714904785},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3507548.3508229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3508229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4471220523","display_name":null,"funder_award_id":"20BTJ046","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W584037522","https://openalex.org/W2122646361","https://openalex.org/W2524141621","https://openalex.org/W2753705016","https://openalex.org/W2887370532","https://openalex.org/W2902758299","https://openalex.org/W2963049059","https://openalex.org/W3034543432","https://openalex.org/W3034794187"],"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":{"Anomaly":[0],"detection":[1,38,75],"is":[2,70],"pivotal":[3],"and":[4,103],"challenging":[5],"in":[6],"artificial":[7],"intelligence,":[8],"which":[9],"aims":[10],"to":[11,48,76,107,123],"determine":[12],"whether":[13],"a":[14,23,29,34,90],"query":[15],"sample":[16],"comes":[17],"from":[18,28,62,80],"the":[19,50,54,63,109,112,125,128],"same":[20],"class,":[21],"given":[22],"set":[24],"of":[25,36,53,111,127],"normal":[26,81],"samples":[27,56,82],"particular":[30],"class.":[31],"There":[32],"are":[33],"plethora":[35],"anomaly":[37,74],"methods":[39,46],"based":[40],"on":[41,99],"generative":[42],"models;":[43],"however,":[44],"these":[45],"aim":[47],"make":[49],"reconstruction":[51],"error":[52],"training":[55,64],"smaller":[57],"or":[58],"extract":[59,77],"more":[60,71,85],"information":[61],"samples.":[65],"We":[66,95],"believe":[67],"that":[68],"it":[69],"important":[72],"for":[73],"crucial":[78],"representation":[79],"rather":[83],"than":[84],"information,":[86],"so":[87],"we":[88,116],"propose":[89],"semi-supervised":[91],"method":[92],"named":[93],"LCR-GAN.":[94],"conducted":[96],"extensive":[97],"experiments":[98],"four":[100],"image":[101],"datasets":[102,106],"15":[104],"tabular":[105],"demonstrate":[108,124],"effectiveness":[110],"proposed":[113,129],"method.":[114,130],"Meanwhile,":[115],"also":[117],"carried":[118],"out":[119],"an":[120],"anti-noise":[121],"study":[122],"robustness":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
