{"id":"https://openalex.org/W4401507368","doi":"https://doi.org/10.1109/tetci.2024.3437370","title":"An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data","display_name":"An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4401507368","doi":"https://doi.org/10.1109/tetci.2024.3437370"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3437370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3437370","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5100602151","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-7788-9202"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045189837","display_name":"Yuanpeng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanpeng Hu","raw_affiliation_strings":["School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069265140","display_name":"Kechen Liu","orcid":"https://orcid.org/0009-0001-1047-3317"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kechen Liu","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065775649","display_name":"Jing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020675795","display_name":"Xianmin Wang","orcid":"https://orcid.org/0000-0003-3480-8780"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianmin Wang","raw_affiliation_strings":["School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001770391","display_name":"Song Deng","orcid":"https://orcid.org/0000-0002-8976-6592"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Deng","raw_affiliation_strings":["Institute of Advanced Technology, Nanjing University Post &amp; Telecommunication, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, Nanjing University Post &amp; Telecommunication, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040143894","display_name":"Nenggan Zheng","orcid":"https://orcid.org/0000-0002-0211-8817"},"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":"Nenggan Zheng","raw_affiliation_strings":["Qiushi Academy for Advanced Studies (QAAS), Zhejiang University Hangzhou, Zhejiang Province, China"],"affiliations":[{"raw_affiliation_string":"Qiushi Academy for Advanced Studies (QAAS), Zhejiang University Hangzhou, Zhejiang Province, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088955392","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-1348-5305"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100602151"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":7.2446,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97531839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"9","issue":"2","first_page":"1379","last_page":"1391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9474999904632568,"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":0.9474999904632568,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8447721004486084},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.68453449010849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44218388199806213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42469415068626404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3913734555244446},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.10614970326423645}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8447721004486084},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.68453449010849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44218388199806213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42469415068626404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3913734555244446},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.10614970326423645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3437370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3437370","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G2333429615","display_name":null,"funder_award_id":"62176070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3545694276","display_name":null,"funder_award_id":"62293500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3603755728","display_name":null,"funder_award_id":"62293505","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4597454957","display_name":null,"funder_award_id":"62072127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6232437620","display_name":null,"funder_award_id":"2023A1515011774","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7355380096","display_name":null,"funder_award_id":"62293501","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7576591565","display_name":null,"funder_award_id":"62002076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8515641209","display_name":null,"funder_award_id":"62272078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8770156021","display_name":null,"funder_award_id":"CSTB2023NSCQ-LZX0069","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1720514416","https://openalex.org/W2038585576","https://openalex.org/W2054141820","https://openalex.org/W2253995343","https://openalex.org/W2605350416","https://openalex.org/W2739992143","https://openalex.org/W2740920897","https://openalex.org/W2749772809","https://openalex.org/W2786010338","https://openalex.org/W2804066879","https://openalex.org/W2809099395","https://openalex.org/W2884657211","https://openalex.org/W2891127200","https://openalex.org/W2896177133","https://openalex.org/W2903254834","https://openalex.org/W2945906332","https://openalex.org/W2963085847","https://openalex.org/W2963358003","https://openalex.org/W2980733333","https://openalex.org/W2982667460","https://openalex.org/W2990425243","https://openalex.org/W3019042437","https://openalex.org/W3027097765","https://openalex.org/W3034790665","https://openalex.org/W3089727447","https://openalex.org/W3090675507","https://openalex.org/W3091993229","https://openalex.org/W3094430788","https://openalex.org/W3094687928","https://openalex.org/W3103298250","https://openalex.org/W3114569718","https://openalex.org/W3153539640","https://openalex.org/W3155763527","https://openalex.org/W3156622960","https://openalex.org/W3157752491","https://openalex.org/W3183638647","https://openalex.org/W3191190194","https://openalex.org/W3193978175","https://openalex.org/W3196594466","https://openalex.org/W3196984294","https://openalex.org/W3197314008","https://openalex.org/W3199916614","https://openalex.org/W3213920736","https://openalex.org/W4210334834","https://openalex.org/W4285166467","https://openalex.org/W4287887777","https://openalex.org/W4288083766","https://openalex.org/W4312690449","https://openalex.org/W4381894803","https://openalex.org/W4388286331","https://openalex.org/W4389675217","https://openalex.org/W6758880176","https://openalex.org/W6766252466"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4220775285","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"High-dimensional":[0],"and":[1,15,34,47,138,232,235],"incomplete":[2],"(HDI)":[3],"data":[4,25,53,92,140,164,202,243],"commonly":[5],"arise":[6],"in":[7,84,144],"various":[8],"Big":[9],"Data-related":[10],"applications,":[11],"e.g.,":[12],"recommender":[13,95],"systems":[14,96],"bioinformatics.":[16],"Representation":[17],"is":[18,41,123],"a":[19,114,152,159,170],"learning":[20,59],"paradigm":[21],"to":[22,50,55,103,124,131,157,174,197,241],"map":[23],"HDI":[24,52,87,91,147,181,216],"into":[26],"low-dimensional":[27],"latent":[28],"space":[29],"for":[30,141],"attracting":[31],"valuable":[32],"knowledge":[33],"patterns.":[35],"Currently,":[36],"deep":[37],"neural":[38],"network":[39],"(DNN)":[40],"one":[42],"of":[43,78,180,191,201],"the":[44,69,74,85,133,136,146,176,189,192,206],"most":[45],"popular":[46],"successful":[48],"approaches":[49,64],"represent":[51],"due":[54,102],"its":[56,245],"powerful":[57],"nonlinear":[58],"ability.":[60],"However,":[61],"previous":[62],"DNNs-based":[63],"primarily":[65],"focused":[66],"on":[67,162,213],"advancing":[68],"sophisticated":[70],"model":[71],"structure,":[72],"neglecting":[73],"potential":[75],"adverse":[76],"effects":[77],"outliers.":[79],"Unfortunately,":[80],"outliers":[81],"usually":[82],"exist":[83],"collected":[86,93],"data.":[88,148,182],"For":[89],"example,":[90],"from":[94],"inevitably":[97],"contain":[98],"many":[99],"outlier":[100,163,242],"ratings":[101],"some":[104],"malicious":[105],"users.":[106],"To":[107,204],"address":[108],"this":[109,111],"issue,":[110],"paper":[112],"proposes":[113],"novel":[115],"outlier-resilient":[116],"autoencoder":[117,143],"(termed":[118],"ORA).":[119],"Its":[120],"core":[121],"idea":[122],"design":[125],"an":[126,142],"adaptive":[127],"Cauchy":[128,155,172,193],"loss":[129,156,173,194],"strategy":[130,150],"measure":[132],"difference":[134],"between":[135],"observed":[137],"predicted":[139],"representing":[145],"This":[149],"leverages":[151],"more":[153],"aggressive":[154],"impose":[158],"higher":[160,239],"penalty":[161],"with":[165],"large":[166],"deviation,":[167],"while":[168],"utilizing":[169],"smoother":[171],"capture":[175],"nuanced,":[177],"deeper":[178],"features":[179],"As":[183],"such,":[184],"ORA":[185,223,237],"can":[186],"dynamically":[187],"adjust":[188],"smoothness":[190],"during":[195],"training":[196],"handle":[198],"different":[199],"levels":[200],"deviation.":[203],"evaluate":[205],"proposed":[207],"ORA,":[208],"extensive":[209],"experiments":[210],"are":[211],"conducted":[212],"five":[214],"benchmark":[215],"datasets.":[217],"The":[218],"results":[219],"validate":[220],"that:":[221],"(1)":[222],"achieves":[224],"significantly":[225],"better":[226],"representation":[227],"accuracy":[228],"than":[229,244],"State-of-the-Art":[230],"DNN-":[231],"non-DNN-based":[233],"models,":[234],"(2)":[236],"possesses":[238],"robustness":[240],"peers.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}
