{"id":"https://openalex.org/W4415624508","doi":"https://doi.org/10.1109/tcomm.2025.3626031","title":"DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches for Automatic Modulation Classification","display_name":"DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches for Automatic Modulation Classification","publication_year":2025,"publication_date":"2025-10-28","ids":{"openalex":"https://openalex.org/W4415624508","doi":"https://doi.org/10.1109/tcomm.2025.3626031"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2025.3626031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3626031","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications 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 Communications","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/A5019471841","display_name":"Atik Faysal","orcid":"https://orcid.org/0000-0001-6569-4371"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atik Faysal","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-6569-4371","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119011794","display_name":"Mohammad Rostami","orcid":"https://orcid.org/0000-0001-9271-7030"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Rostami","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-9271-7030","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055535103","display_name":"Taha Bouhsine","orcid":"https://orcid.org/0000-0002-6564-4021"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taha Boushine","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-6564-4021","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114638563","display_name":"Reihaneh Gh. Roshan","orcid":null},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reihaneh Gh. Roshan","raw_affiliation_strings":["Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074615163","display_name":"Nikhil Muralidhar","orcid":"https://orcid.org/0000-0001-7068-2981"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]},{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhil Muralidhar","raw_affiliation_strings":["Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA","Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021827481","display_name":"Yudong Yao","orcid":"https://orcid.org/0000-0003-3868-0593"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Dong Yao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0003-3868-0593","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031877375","display_name":"Huaxia Wang","orcid":"https://orcid.org/0000-0002-3273-6309"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]},{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huaxia Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-3273-6309","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89230094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"74","issue":null,"first_page":"929","last_page":"943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9954000115394592,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9954000115394592,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/noise-reduction","display_name":"Noise reduction","score":0.7185999751091003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6195999979972839},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5871000289916992},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.4778999984264374},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46149998903274536},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44940000772476196},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.41179999709129333},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.35370001196861267},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.33570000529289246}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7185999751091003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7042999863624573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741999983787537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6195999979972839},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5871000289916992},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46149998903274536},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44940000772476196},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.41179999709129333},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.35370001196861267},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.2890999913215637},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.2818000018596649},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2766999900341034},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.2644999921321869},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.26019999384880066},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.25130000710487366},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.250900000333786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2025.3626031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3626031","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications 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 Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G920447767","display_name":null,"funder_award_id":"DE-FE0032196","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W2005956500","https://openalex.org/W2773170971","https://openalex.org/W2884089434","https://openalex.org/W2892154397","https://openalex.org/W2896457183","https://openalex.org/W3000943722","https://openalex.org/W3035524453","https://openalex.org/W3133033995","https://openalex.org/W3171007011","https://openalex.org/W3193052805","https://openalex.org/W3205971195","https://openalex.org/W3208619204","https://openalex.org/W4206794970","https://openalex.org/W4210557982","https://openalex.org/W4281569202","https://openalex.org/W4312236157","https://openalex.org/W4313156423","https://openalex.org/W4317642592","https://openalex.org/W4320011045","https://openalex.org/W4362653282","https://openalex.org/W4387503912","https://openalex.org/W4388460234","https://openalex.org/W4388624634","https://openalex.org/W4390611351","https://openalex.org/W4391156750","https://openalex.org/W4394677132","https://openalex.org/W4399943253","https://openalex.org/W4400908773","https://openalex.org/W4404095724","https://openalex.org/W4404562941","https://openalex.org/W4405440233","https://openalex.org/W4405441352","https://openalex.org/W4410395068","https://openalex.org/W4414179221"],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"DenoMAE2.0,":[2],"an":[3],"enhanced":[4],"denoising":[5,35,86],"masked":[6,30],"autoencoder":[7],"designed":[8],"to":[9,51,105],"significantly":[10,110],"improve":[11],"representation":[12],"learning":[13,140],"for":[14,71,173],"Automatic":[15],"Modulation":[16],"Classification":[17],"(AMC)":[18],"in":[19,176],"wireless":[20,178],"communications.":[21],"Unlike":[22],"standard":[23],"Masked":[24],"Autoencoders":[25],"(MAEs),":[26],"which":[27],"solely":[28],"reconstruct":[29,58],"inputs,":[31],"DenoMAE2.0":[32,83,136],"jointly":[33],"performs":[34],"and":[36,56,66,76,87,93],"reconstruction":[37,129],"by":[38,124],"incorporating":[39],"a":[40,147,155],"position-aware":[41],"local":[42,67],"patch":[43],"classification":[44,73,88],"objective.":[45],"This":[46],"approach":[47],"enables":[48],"the":[49,121,166],"model":[50],"simultaneously":[52],"denoise":[53],"corrupted":[54],"signals":[55],"accurately":[57],"missing":[59],"information,":[60],"effectively":[61],"capturing":[62],"both":[63],"global":[64],"context":[65],"structural":[68],"patterns":[69],"crucial":[70],"modulation":[72,133],"under":[74,98],"noisy":[75],"data-scarce":[77],"scenarios.":[78],"Extensive":[79],"experiments":[80],"demonstrate":[81],"that":[82],"achieves":[84,114],"superior":[85],"performance,":[89],"outperforming":[90],"baseline":[91],"methods":[92],"its":[94],"predecessor,":[95],"DenoMAE,":[96],"particularly":[97],"extremely":[99],"low":[100],"Signal-to-Noise":[101],"Ratios":[102],"(SNR)":[103],"(down":[104],"-7dB),":[106],"where":[107],"other":[108],"approaches":[109],"degrade.":[111],"Our":[112],"method":[113],"state-of-the-art":[115],"accuracy":[116,145],"of":[117,168],"82.4%,":[118],"improving":[119],"upon":[120],"original":[122],"DenoMAE":[123],"1.1%,":[125],"while":[126],"consistently":[127],"enhancing":[128],"quality":[130],"across":[131],"all":[132],"classes.":[134],"Additionally,":[135],"exhibits":[137],"robust":[138,174],"transfer":[139],"capabilities,":[141],"achieving":[142],"consistent":[143],"improved":[144],"over":[146],"Vision":[148],"Transformer":[149],"(ViT)":[150],"at":[151,159],"different":[152],"SNRs":[153],"with":[154],"6.13%":[156],"highest":[157],"gain":[158],"noise-signal":[160],"equilibrium":[161],"point.":[162],"These":[163],"results":[164],"highlight":[165],"effectiveness":[167],"our":[169],"dual-objective,":[170],"self-supervised":[171],"framework":[172],"AMC":[175],"challenging":[177],"communication":[179],"environments.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-28T00:00:00"}
