{"id":"https://openalex.org/W4404370948","doi":"https://doi.org/10.1109/jiot.2024.3498324","title":"Hybrid-View Self-Supervised Framework for Automatic Modulation Recognition","display_name":"Hybrid-View Self-Supervised Framework for Automatic Modulation Recognition","publication_year":2024,"publication_date":"2024-11-14","ids":{"openalex":"https://openalex.org/W4404370948","doi":"https://doi.org/10.1109/jiot.2024.3498324"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3498324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3498324","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5116252123","display_name":"Youquan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youquan Fu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0005-5917-1263","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114911363","display_name":"Yue Ma","orcid":"https://orcid.org/0000-0002-5422-315X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ma","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-5422-315X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053487344","display_name":"Zhixi Feng","orcid":"https://orcid.org/0000-0002-7372-9180"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixi Feng","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-7372-9180","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Yang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-4796-5737","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114859926","display_name":"Yixing Wang","orcid":"https://orcid.org/0000-0002-0054-8012"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixing Wang","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, Beijing Institute of Control and Electronic Technology, Beijing, China","Beijing Institute of Control and Electronic Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, Beijing Institute of Control and Electronic Technology, Beijing, China","institution_ids":["https://openalex.org/I202334528"]},{"raw_affiliation_string":"Beijing Institute of Control and Electronic Technology, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72972825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":"6","first_page":"7360","last_page":"7375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.8241000175476074,"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":0.8241000175476074,"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/computer-science","display_name":"Computer science","score":0.7816390991210938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4541586637496948},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.45112577080726624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.400995135307312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816390991210938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4541586637496948},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.45112577080726624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.400995135307312},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3498324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3498324","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1560732540","display_name":null,"funder_award_id":"62276205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5498747354","display_name":null,"funder_award_id":"U22B2018","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":37,"referenced_works":["https://openalex.org/W2103104224","https://openalex.org/W2130014182","https://openalex.org/W2272847350","https://openalex.org/W2603396821","https://openalex.org/W2884089434","https://openalex.org/W2909427540","https://openalex.org/W2912136746","https://openalex.org/W2964110616","https://openalex.org/W3015903302","https://openalex.org/W3032977069","https://openalex.org/W3108655343","https://openalex.org/W3133033995","https://openalex.org/W3184000328","https://openalex.org/W3193052805","https://openalex.org/W4206709562","https://openalex.org/W4210557982","https://openalex.org/W4285325536","https://openalex.org/W4286255690","https://openalex.org/W4312504063","https://openalex.org/W4320018370","https://openalex.org/W4321483861","https://openalex.org/W4362653282","https://openalex.org/W4365504314","https://openalex.org/W4379931762","https://openalex.org/W4385245566","https://openalex.org/W6755207826","https://openalex.org/W6758685805","https://openalex.org/W6769607603","https://openalex.org/W6769627184","https://openalex.org/W6774314701","https://openalex.org/W6777179611","https://openalex.org/W6779068807","https://openalex.org/W6779902714","https://openalex.org/W6781834539","https://openalex.org/W6793987055","https://openalex.org/W6844194202","https://openalex.org/W6847013730"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Applying":[0],"self-supervised":[1,48,68,86,95,156],"deep":[2,21],"learning":[3,69,87],"improves":[4],"the":[5,17,42,78,103,113,121,126,149,155],"processing":[6],"speed":[7],"and":[8,117,125,133,158,165],"accuracy":[9],"of":[10,19,45,80],"automatic":[11],"modulation":[12],"recognition":[13],"(AMR).":[14],"It":[15],"reduces":[16],"dependence":[18],"previous":[20,36],"networks":[22],"on":[23,67,90,143],"many":[24],"labeled":[25],"samples.":[26],"However,":[27],"affected":[28],"by":[29],"an":[30],"incomplete":[31],"signal":[32,81,104],"representation":[33,82],"modes":[34],"set,":[35],"models":[37,157],"do":[38],"not":[39],"fully":[40,101],"utilize":[41],"multiview":[43],"property":[44],"signals":[46,107],"in":[47,63],"learning.":[49],"To":[50],"deal":[51],"with":[52],"this":[53,64],"issue,":[54],"a":[55,85,129,134],"hybrid-view":[56,91,94],"contrastive":[57,92,131],"model":[58,127],"for":[59],"AMR":[60],"is":[61,74,98],"proposed":[62,75,150],"article":[65],"based":[66,89],"framework.":[70],"First,":[71],"star":[72],"video":[73,118],"to":[76,100],"complete":[77],"set":[79],"modes.":[83],"Next,":[84],"framework":[88,96],"learning,":[93],"(HVSF),":[97],"established":[99],"extract":[102],"features,":[105],"where":[106],"are":[108,139],"augmented":[109],"across":[110],"views,":[111],"including":[112],"discrete":[114],"sequence,":[115],"image,":[116],"format.":[119],"Considering":[120],"view-exclusive":[122],"information":[123],"loss":[124],"complexity,":[128],"weakly":[130],"strategy":[132],"Transformer-based":[135],"view-shared":[136],"feature":[137],"extractor":[138],"finally":[140],"constructed.":[141],"Evaluation":[142],"four":[144],"standard":[145],"datasets":[146],"demonstrates":[147],"that":[148],"model,":[151],"HVSF,":[152],"outperforms":[153],"both":[154],"supervised":[159],"models,":[160],"affirming":[161],"its":[162],"superior":[163],"performance":[164],"stability.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}