{"id":"https://openalex.org/W4411551715","doi":"https://doi.org/10.1109/tnnls.2025.3579412","title":"Topology-Preserved Information Bottleneck for Multiview Anomaly Detection","display_name":"Topology-Preserved Information Bottleneck for Multiview Anomaly Detection","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4411551715","doi":"https://doi.org/10.1109/tnnls.2025.3579412","pmid":"https://pubmed.ncbi.nlm.nih.gov/40549519"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3579412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3579412","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tengfei Yan","orcid":"https://orcid.org/0009-0003-3734-0850"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengfei Yan","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-3734-0850","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037217207","display_name":"Jiankai Tu","orcid":"https://orcid.org/0000-0002-5082-7300"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiankai Tu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5082-7300","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654349","display_name":"Chunguang Li","orcid":"https://orcid.org/0000-0003-3147-1553"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunguang Li","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3147-1553","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403380","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0001-6087-8243"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6087-8243","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06764382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"10","first_page":"18259","last_page":"18273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9447000026702881,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9387999773025513,"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/bottleneck","display_name":"Bottleneck","score":0.8231083154678345},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6754788756370544},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5280359983444214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5110195875167847},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.47725293040275574},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4566690921783447},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3827930688858032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3552417457103729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3340696692466736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1392408311367035},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.0999724268913269},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0947035551071167},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08770111203193665},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.06469732522964478}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8231083154678345},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6754788756370544},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5280359983444214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5110195875167847},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.47725293040275574},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4566690921783447},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3827930688858032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3552417457103729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3340696692466736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1392408311367035},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.0999724268913269},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0947035551071167},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08770111203193665},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.06469732522964478},{"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:10.1109/tnnls.2025.3579412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3579412","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40549519","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40549519","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4401147167","display_name":null,"funder_award_id":"62471436","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7850455416","display_name":null,"funder_award_id":"LY23F020018","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":38,"referenced_works":["https://openalex.org/W1672347394","https://openalex.org/W1982893028","https://openalex.org/W2048030021","https://openalex.org/W2061521613","https://openalex.org/W2099111195","https://openalex.org/W2105610271","https://openalex.org/W2154478709","https://openalex.org/W2165533158","https://openalex.org/W2194775991","https://openalex.org/W2758021822","https://openalex.org/W2781821509","https://openalex.org/W2788954130","https://openalex.org/W2791255512","https://openalex.org/W2797548502","https://openalex.org/W2880214242","https://openalex.org/W2903647084","https://openalex.org/W2996320484","https://openalex.org/W3004172398","https://openalex.org/W3047930837","https://openalex.org/W3089028909","https://openalex.org/W3094527485","https://openalex.org/W4200145774","https://openalex.org/W4214694907","https://openalex.org/W4225624178","https://openalex.org/W4229008034","https://openalex.org/W4256141317","https://openalex.org/W4283714526","https://openalex.org/W4287891019","https://openalex.org/W4302275147","https://openalex.org/W4307090987","https://openalex.org/W4313050727","https://openalex.org/W4360897681","https://openalex.org/W4385195017","https://openalex.org/W4387129530","https://openalex.org/W4390659080","https://openalex.org/W4391853581","https://openalex.org/W4399803078","https://openalex.org/W4402557630"],"related_works":["https://openalex.org/W4401325445","https://openalex.org/W2622284819","https://openalex.org/W1504394672","https://openalex.org/W3089381707","https://openalex.org/W2806741695","https://openalex.org/W4285254085","https://openalex.org/W3034190530","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1],"(AD)":[2],"techniques":[3,11,40],"are":[4,45,168],"widely":[5],"used":[6],"in":[7,110],"various":[8,88],"fields.":[9],"Existing":[10],"primarily":[12],"focus":[13],"on":[14,292],"learning":[15],"a":[16,59,222,246,280],"normal":[17,165,182,193],"region":[18,194],"from":[19,35,54,263],"single-view":[20,56],"data,":[21],"which":[22],"may":[23,67,146],"be":[24,188,277],"not":[25],"suitable":[26],"for":[27,42,127,139],"multiview":[28,43,128,143,248,264,296],"data":[29,44,57,166,183],"that":[30,225,269],"provides":[31],"more":[32],"comprehensive":[33,103,125],"information":[34,77,100,104,118,249],"multiple":[36,55],"perspectives.":[37],"Therefore,":[38],"AD":[39,199,241],"designed":[41],"necessary.":[46],"Straightforwardly,":[47],"one":[48,91],"can":[49,276],"concatenate":[50],"the":[51,69,80,87,115,142,148,152,160,163,172,181,185,192,198,201,228,233,240,270,299,302],"features":[52],"learned":[53],"into":[58,191],"joint":[60],"representation":[61],"to":[62,79,93,97,121,134,171,180,187,210,231,238,255,286],"conduct":[63],"AD.":[64],"However,":[65],"this":[66,95,108,111,212,218],"overlook":[68],"inevitable":[70],"overlaps":[71],"between":[72],"views,":[73],"potentially":[74],"masking":[75],"view-specific":[76],"due":[78],"repetitive":[81],"calculations":[82],"of":[83,117,151,162,203,301],"these":[84,137],"overlaps.":[85],"Among":[86],"possible":[89],"methods,":[90],"way":[92],"address":[94],"is":[96,132],"compress":[98],"redundant":[99],"while":[101],"maintaining":[102],"across":[105],"views.":[106],"Following":[107],"way,":[109],"article,":[112,219],"we":[113,220,244,267],"leverage":[114],"principle":[116],"bottleneck":[119,250],"(IB)":[120],"extract":[122,256],"concise":[123],"and":[124,259,294],"representations":[126,138,230,262],"data.":[129,154,265],"But":[130],"it":[131,208,285],"problematic":[133],"directly":[135],"use":[136],"AD,":[140],"since":[141],"fusion":[144],"process":[145],"disturb":[147],"intrinsic":[149,236],"structure":[150,213],"original":[153,164,234],"That":[155],"is,":[156],"samples":[157,178,206],"distributed":[158],"at":[159,184],"edges/center":[161],"distribution":[167],"mapped":[169,190],"closer":[170],"center/edges.":[173],"This":[174],"might":[175],"cause":[176],"abnormal":[177,204],"(close":[179],"edges)":[186],"incorrectly":[189],"during":[195],"inference.":[196],"In":[197,217],"scenario,":[200],"absence":[202],"training":[205],"makes":[207],"unfeasible":[209],"preserve":[211,232],"using":[214],"supervised":[215],"information.":[216],"design":[221],"topology-preserved":[223,247,260],"regularization":[224],"unsupervisedly":[226],"constrains":[227],"latent":[229,261],"data's":[235],"structure,":[237],"improve":[239],"performance.":[242],"Overall,":[243],"propose":[245],"(TMVIB)":[251],"feature":[252,272],"extraction":[253,273],"method":[254,274],"concise,":[257],"comprehensive,":[258],"Interestingly,":[266],"find":[268],"TMVIB":[271],"itself":[275],"viewed":[278],"as":[279],"regularized":[281],"anomaly":[282,288],"detector,":[283],"allowing":[284],"output":[287],"scores":[289],"directly.":[290],"Experiments":[291],"synthetic":[293],"real-world":[295],"datasets":[297],"demonstrate":[298],"effectiveness":[300],"proposed":[303],"TMVIB.":[304]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
