{"id":"https://openalex.org/W4408354540","doi":"https://doi.org/10.1109/icassp49660.2025.10890093","title":"SSCL-AMC: A Self-supervised Automatic Modulation Classification Method via Dynamic Augmentation and Ensemble Learning","display_name":"SSCL-AMC: A Self-supervised Automatic Modulation Classification Method via Dynamic Augmentation and Ensemble Learning","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354540","doi":"https://doi.org/10.1109/icassp49660.2025.10890093"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112465339","display_name":"Yilin Cai","orcid":"https://orcid.org/0009-0006-5804-282X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Cai","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen Fujian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen Fujian,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025349695","display_name":"Dingzhao Li","orcid":"https://orcid.org/0000-0002-3104-8504"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingzhao Li","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen Fujian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen Fujian,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101536342","display_name":"Sheng Wu","orcid":"https://orcid.org/0000-0002-1749-9472"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wu","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen Fujian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen Fujian,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101382897","display_name":"Mingyuan Shao","orcid":"https://orcid.org/0009-0002-1919-8494"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyuan Shao","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen Fujian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen Fujian,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054569307","display_name":"Shaohua Hong","orcid":"https://orcid.org/0000-0002-0404-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Hong","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen Fujian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen Fujian,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101424227","display_name":"Haixin Sun","orcid":"https://orcid.org/0000-0002-6876-2939"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixin Sun","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen Fujian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen Fujian,China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9887999892234802,"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":0.9887999892234802,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9232000112533569,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6796364784240723},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.6477581262588501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4856675863265991},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.41676998138427734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38342979550361633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3284377157688141},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16887167096138},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.06051701307296753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796364784240723},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.6477581262588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4856675863265991},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41676998138427734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38342979550361633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3284377157688141},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16887167096138},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.06051701307296753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2773170971","https://openalex.org/W2964159205","https://openalex.org/W3035524453","https://openalex.org/W3145450063","https://openalex.org/W3170485195","https://openalex.org/W4206709562","https://openalex.org/W4312954924","https://openalex.org/W4362653282","https://openalex.org/W4375869042","https://openalex.org/W4386973897","https://openalex.org/W4390547394","https://openalex.org/W4390659928","https://openalex.org/W4391097191","https://openalex.org/W4391165408","https://openalex.org/W4391407115","https://openalex.org/W4392449923","https://openalex.org/W4393207017","https://openalex.org/W4396877907","https://openalex.org/W4399620332","https://openalex.org/W4400275717","https://openalex.org/W4400276104","https://openalex.org/W4400314883","https://openalex.org/W4401070416","https://openalex.org/W4402159260","https://openalex.org/W4402187315","https://openalex.org/W4402258889","https://openalex.org/W6774670964"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Deep":[0],"learning":[1,61,102],"has":[2],"demonstrated":[3],"promising":[4],"results":[5],"over":[6],"traditional":[7],"hand-crafted":[8],"methods":[9],"for":[10,69,110],"automatic":[11],"modulation":[12],"classification":[13],"(AMC),":[14],"which":[15],"plays":[16],"a":[17,57,72,83],"critical":[18,44],"role":[19],"as":[20,36],"an":[21],"intermediate":[22],"step":[23],"between":[24],"signal":[25],"detection":[26],"and":[27,40,49,100],"modulation.":[28],"However,":[29],"acquiring":[30],"large-scale":[31,125],"labeled":[32],"data":[33,38,65],"remains":[34],"challenging,":[35],"both":[37],"quality":[39],"annotation":[41],"costs":[42],"are":[43],"factors":[45],"in":[46],"achieving":[47],"accurate":[48],"efficient":[50],"training.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,116],"propose":[56],"novel":[58],"self-supervised":[59],"contrastive":[60],"(SSCL)":[62],"with":[63,131],"gradient-adversarial-based":[64],"augmentation":[66],"(GADA)":[67],"approach":[68],"AMC.":[70],"Additionally,":[71],"meticulous":[73],"encoder":[74],"based":[75],"on":[76,122],"Transformer-LSTM":[77],"architectures":[78],"is":[79,93,103],"employed":[80,94],"to":[81,95,105,119],"pre-train":[82],"feature":[84,98],"extractor":[85],"using":[86],"unlabeled":[87],"base":[88],"classes.":[89],"Subsequently,":[90],"knowledge":[91],"transfer":[92],"fine-tune":[96],"the":[97,123],"extractor,":[99],"ensemble":[101],"introduced":[104],"efficiently":[106],"leverage":[107],"multiple":[108],"classifiers":[109],"joint":[111],"decision-making.":[112],"Experiments":[113],"demonstrate":[114],"that":[115],"achieve":[117],"up":[118],"91.87%":[120],"accuracy":[121],"challenging":[124],"RadioML2018.10a":[126],"dataset,":[127],"demonstrating":[128],"performance":[129],"competitive":[130],"state-of-the-art":[132],"supervised":[133],"implementations.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
