{"id":"https://openalex.org/W4414404836","doi":"https://doi.org/10.1109/tpami.2025.3613005","title":"IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation","display_name":"IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4414404836","doi":"https://doi.org/10.1109/tpami.2025.3613005","pmid":"https://pubmed.ncbi.nlm.nih.gov/40982526"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3613005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3613005","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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":"Suorong Yang","orcid":"https://orcid.org/0000-0001-8788-6382"},"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":true,"raw_author_name":"Suorong Yang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083099906","display_name":"Hongchao Yang","orcid":"https://orcid.org/0000-0002-0848-8632"},"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":"Hongchao Yang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078802814","display_name":"Suhan Guo","orcid":"https://orcid.org/0000-0002-7175-5414"},"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":"Suhan Guo","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Furao Shen","orcid":"https://orcid.org/0000-0002-7285-326X"},"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":"Furao Shen","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jian Zhao","orcid":"https://orcid.org/0000-0003-3949-352X"},"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":"Jian Zhao","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1322018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"2","first_page":"1339","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9422000050544739,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9422000050544739,"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/T11719","display_name":"Data Quality and Management","score":0.9402999877929688,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9014000296592712,"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/robustness","display_name":"Robustness (evolution)","score":0.8375999927520752},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6811000108718872},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4650999903678894},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45669999718666077},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3917999863624573},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.3917999863624573},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.37279999256134033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36880001425743103}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8375999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900999784469604},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6811000108718872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5367000102996826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5297999978065491},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42809998989105225},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.3917999863624573},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3917999863624573},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3613005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3613005","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40982526","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40982526","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3993684256","display_name":null,"funder_award_id":"62276127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4994290826","display_name":null,"funder_award_id":"2024300394","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1982925187","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2295107390","https://openalex.org/W2518775244","https://openalex.org/W2533598788","https://openalex.org/W2549139847","https://openalex.org/W2774644650","https://openalex.org/W2903105043","https://openalex.org/W2949736877","https://openalex.org/W2954996726","https://openalex.org/W2963045696","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W2979200397","https://openalex.org/W2985390828","https://openalex.org/W2992308087","https://openalex.org/W2998508940","https://openalex.org/W3028304412","https://openalex.org/W3035682985","https://openalex.org/W3041133507","https://openalex.org/W3080580366","https://openalex.org/W3126121388","https://openalex.org/W3177330184","https://openalex.org/W3202897123","https://openalex.org/W4214611271","https://openalex.org/W4246193833","https://openalex.org/W4320525814","https://openalex.org/W4382449892","https://openalex.org/W4385382936","https://openalex.org/W4389671650","https://openalex.org/W4404820441"],"related_works":[],"abstract_inverted_index":{"Data":[0],"augmentation":[1,19,80,112,140,170],"is":[2],"widely":[3],"utilized":[4],"as":[5],"an":[6],"effective":[7],"technique":[8],"to":[9,50,78,118],"enhance":[10,51],"the":[11,30,34,52,62,74,94,98,103,119,136,162],"generalization":[12],"performance":[13,35,163,193],"of":[14,36,54,64,105,138,164,179],"deep":[15,37,174],"models.":[16],"However,":[17],"data":[18,55,79,107,111,139,169],"may":[20],"inevitably":[21],"introduce":[22],"distribution":[23],"shifts":[24],"and":[25,32,82,101,122,145,189,194],"noises,":[26],"which":[27],"significantly":[28],"constrain":[29],"potential":[31,148],"deteriorate":[33],"networks.":[38],"To":[39],"this":[40,58],"end,":[41],"we":[42],"propose":[43],"a":[44,66,88,177],"novel":[45],"information-preserving":[46,90],"framework,":[47,135],"namely":[48],"IPF-RDA,":[49],"robustness":[53,137],"augmentations":[56],"in":[57,97],"paper.":[59],"IPF-RDA":[60,159],"combines":[61],"proposal":[63],"(i)":[65],"new":[67,89],"class-discriminative":[68],"information":[69,96],"estimation":[70],"algorithm":[71],"that":[72,92,155],"identifies":[73],"points":[75],"most":[76],"vulnerable":[77],"operations":[81],"corresponding":[83],"importance":[84],"scores;":[85],"And":[86],"(ii)":[87],"scheme":[91],"preserves":[93],"critical":[95],"augmented":[99,106],"samples":[100],"ensures":[102],"diversity":[104],"adaptively.":[108],"We":[109],"divide":[110],"methods":[113,141,171],"into":[114,126,133],"three":[115],"categories":[116],"according":[117],"operation":[120],"types":[121],"integrate":[123],"these":[124],"approaches":[125],"our":[127,134],"framework":[128],"accordingly.":[129],"After":[130],"being":[131,157],"integrated":[132],"can":[142,149],"be":[143,150],"enhanced":[144],"their":[146],"full":[147],"unleashed.":[151],"Extensive":[152],"experiments":[153],"demonstrate":[154],"although":[156],"simple,":[158],"consistently":[160],"improves":[161],"numerous":[165],"commonly":[166],"used":[167],"state-of-the-art":[168],"with":[172],"popular":[173],"models":[175],"on":[176],"variety":[178],"datasets,":[180],"including":[181],"CIFAR-10,":[182],"CIFAR-100,":[183],"Tiny-ImageNet,":[184],"CUHK03,":[185],"Market1501,":[186],"Oxford":[187],"Flower,":[188],"MNIST,":[190],"where":[191],"its":[192],"scalability":[195],"are":[196],"stressed.":[197]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
