{"id":"https://openalex.org/W7161801397","doi":"https://doi.org/10.1109/tnsm.2026.3694683","title":"Self-Contrastive Learning to Boost Weakly Supervised Anomaly Detection","display_name":"Self-Contrastive Learning to Boost Weakly Supervised Anomaly Detection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7161801397","doi":"https://doi.org/10.1109/tnsm.2026.3694683"},"language":null,"primary_location":{"id":"doi:10.1109/tnsm.2026.3694683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2026.3694683","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-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/A5023350602","display_name":"Jingyou Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyou Chen","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0002-5630-8920","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102825275","display_name":"Zhangfa Wu","orcid":"https://orcid.org/0009-0007-3009-9661"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangfa Wu","raw_affiliation_strings":["School of Electronic Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0007-3009-9661","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136552169","display_name":"Yi Hua","orcid":"https://orcid.org/0000-0003-0660-7826"},"institutions":[{"id":"https://openalex.org/I4210108113","display_name":"Yango University","ror":"https://ror.org/01eqh1863","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108113"]},{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Hua","raw_affiliation_strings":["College of Information and Artificial Intelligence, Yangzhou University, Yangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0660-7826","affiliations":[{"raw_affiliation_string":"College of Information and Artificial Intelligence, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612","https://openalex.org/I4210108113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067065399","display_name":"Hongqi Li","orcid":"https://orcid.org/0000-0003-4898-4857"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqi Li","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4898-4857","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061007704","display_name":"Yilei Shi","orcid":"https://orcid.org/0000-0001-7386-0026"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilei Shi","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-7386-0026","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071986802","display_name":"Hongping Gan","orcid":"https://orcid.org/0000-0002-4853-5077"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongping Gan","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-4853-5077","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023350602"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88846663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"4699","last_page":"4711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4196000099182129,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4196000099182129,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.2606000006198883,"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":0.022700000554323196,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5892000198364258},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4586000144481659},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.3734999895095825},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.30309998989105225},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.27160000801086426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766000032424927},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5892000198364258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490000247955322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3734999895095825},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2797999978065491},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2026.3694683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2026.3694683","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1983756589","display_name":null,"funder_award_id":"62101455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5796218024","display_name":null,"funder_award_id":"TC2024JC17","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6716188234","display_name":null,"funder_award_id":"62471395","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Weakly":[0],"supervised":[1,80],"anomaly":[2,32,81,106,182],"detection":[3,33,82],"methods":[4],"(WADMs)":[5],"can":[6],"effectively":[7],"utilize":[8],"incomplete":[9],"label":[10,45],"data":[11,28,93,114,119],"to":[12,54,64,125,137,176],"address":[13],"the":[14,21,24,57,88,95,101,126,142,146,167,200],"issue":[15],"of":[16,26,61,92,105,191],"imbalanced":[17],"samples,":[18,62,144],"thereby":[19,99],"reducing":[20],"reliance":[22],"on":[23,141,188],"quantity":[25],"labeled":[27],"and":[29,37,47,103,172,208],"demonstrating":[30],"superior":[31],"capabilities":[34],"in":[35,67,94,205,210],"network":[36],"service":[38],"management.":[39],"However,":[40],"when":[41],"confronted":[42],"with":[43],"significant":[44],"noise":[46],"missing":[48],"labels,":[49],"existing":[50],"WADMs":[51],"still":[52],"struggle":[53],"adequately":[55],"extract":[56,162],"deep":[58,152,168],"feature":[59,89,97,154,170],"information":[60],"leading":[63],"a":[65,76,112,130,189],"decline":[66],"model":[68],"performance.":[69],"To":[70],"tackle":[71],"this":[72],"challenge,":[73],"we":[74,109,161],"propose":[75],"self-contrastive":[77,131],"enhanced":[78,132],"weakly":[79],"framework,":[83],"called":[84],"SEAD-Net,":[85],"which":[86],"enhances":[87],"representation":[90,120],"capability":[91],"model\u2019s":[96],"space,":[98],"improving":[100],"accuracy":[102],"robustness":[104],"detection.":[107],"Specifically,":[108],"first":[110],"design":[111],"personalized":[113],"enhancement":[115,164],"module":[116,134],"that":[117,196],"augments":[118],"by":[121,203],"applying":[122],"various":[123],"transformations":[124],"raw":[127],"data.":[128],"Subsequently,":[129],"learning":[133,151],"is":[135],"introduced":[136],"impose":[138],"hybrid":[139],"constraints":[140],"augmented":[143],"constructing":[145],"overall":[147],"distribution":[148],"structure":[149],"while":[150],"sample":[153,169],"spaces":[155],"under":[156],"complex":[157],"scenario":[158],"disturbances.":[159],"Finally,":[160],"contrastive":[163],"features":[165],"within":[166],"space":[171],"perform":[173],"probabilistic":[174],"generation":[175,184],"enable":[177],"effective":[178],"decision-making":[179],"via":[180],"an":[181],"probability":[183],"module.":[185],"Experimental":[186],"results":[187],"series":[190],"public":[192],"benchmark":[193],"datasets":[194],"demonstrate":[195],"our":[197],"SEAD-Net":[198],"outperforms":[199],"second-best":[201],"WADM":[202],"5.95%":[204],"average":[206,211],"AUC-ROC":[207],"16.28%":[209],"AUC-PR.":[212]},"counts_by_year":[],"updated_date":"2026-05-28T06:12:49.907903","created_date":"2026-05-21T00:00:00"}