{"id":"https://openalex.org/W3022121429","doi":"https://doi.org/10.1109/lsp.2020.2991875","title":"Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification","display_name":"Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022121429","doi":"https://doi.org/10.1109/lsp.2020.2991875","mag":"3022121429"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2991875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2991875","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5082752549","display_name":"Ke Bu","orcid":"https://orcid.org/0000-0002-9486-5982"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Bu","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059053033","display_name":"Yuan He","orcid":"https://orcid.org/0000-0001-7578-8515"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027047483","display_name":"Xiaojun Jing","orcid":"https://orcid.org/0000-0003-2560-4364"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Jing","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102879609","display_name":"Jindong Han","orcid":"https://orcid.org/0000-0001-6329-7524"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindong Han","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082752549"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":12.6932,"has_fulltext":false,"cited_by_count":157,"citation_normalized_percentile":{"value":0.9893813,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"27","issue":null,"first_page":"880","last_page":"884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.829776406288147},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7937275171279907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7475417852401733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6406173706054688},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6132808923721313},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5492907166481018},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4855479896068573},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4500678479671478},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.43380579352378845},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4260116517543793},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41119468212127686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41034871339797974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33492138981819153},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08911389112472534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829776406288147},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7937275171279907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7475417852401733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6406173706054688},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6132808923721313},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5492907166481018},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4855479896068573},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4500678479671478},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.43380579352378845},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4260116517543793},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41119468212127686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41034871339797974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33492138981819153},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08911389112472534},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.2991875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2991875","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2747697957","display_name":null,"funder_award_id":"61901049","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":19,"referenced_works":["https://openalex.org/W1927699027","https://openalex.org/W2005956500","https://openalex.org/W2135575309","https://openalex.org/W2165698076","https://openalex.org/W2272847350","https://openalex.org/W2474081654","https://openalex.org/W2548159479","https://openalex.org/W2562146178","https://openalex.org/W2593768305","https://openalex.org/W2603396821","https://openalex.org/W2742947407","https://openalex.org/W2773170971","https://openalex.org/W2790836455","https://openalex.org/W2794284562","https://openalex.org/W2884001105","https://openalex.org/W2895407085","https://openalex.org/W2899388412","https://openalex.org/W4248350653","https://openalex.org/W6694508510"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2482350142","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W3171384686"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1,17,31],"classification":[2,32,110],"facilitates":[3],"many":[4],"important":[5],"signal":[6],"processing":[7],"applications.":[8],"Recently,":[9],"deep":[10,42],"learning":[11,23,43,127],"models":[12],"have":[13],"been":[14],"adopted":[15],"in":[16,114,136],"recognition,":[18],"which":[19,180],"outperform":[20],"traditional":[21],"machine":[22],"techniques":[24],"based":[25],"on":[26],"hand-crafted":[27],"features.":[28],"However,":[29],"automatic":[30],"is":[33,60,75,155,211],"still":[34],"challenging":[35],"due":[36],"to":[37,48,77,157,200,213],"the":[38,49,52,89,95,99,105,109,115,150,162,169,174,177,182,189,193,208],"following":[39],"reasons.":[40],"Existing":[41],"methods":[44],"are":[45,71],"only":[46],"applicable":[47],"data":[50,58,93,103,191],"of":[51,85,176,188,205],"same":[53],"distribution.":[54],"In":[55],"practical":[56],"scenarios,":[57],"distribution":[59],"varying":[61],"with":[62,67,91,101],"sampling":[63,69],"frequency,":[64],"thus":[65],"domains":[66,84,147],"different":[68],"rates":[70],"formed.":[72],"Besides,":[73],"it":[74],"difficult":[76],"construct":[78],"large-scale":[79],"well-annotated":[80],"datasets":[81],"for":[82],"all":[83],"interest.":[86],"We":[87],"define":[88],"domain":[90,100,151],"sufficient":[92],"as":[94,104],"source":[96,163],"domain,":[97],"while":[98],"insufficient":[102],"target":[106,116,178,194],"domain.":[107,117,164],"Obviously,":[108],"model":[111,195],"performs":[112,142],"weakly":[113],"To":[118],"address":[119],"these":[120],"challenges,":[121],"we":[122],"propose":[123],"an":[124,143],"adversarial":[125,131],"transfer":[126,135,154],"architecture":[128],"(ATLA),":[129],"incorporating":[130],"training":[132,141,190,206],"and":[133,148],"knowledge":[134,160],"a":[137],"unified":[138],"way.":[139],"Adversarial":[140],"asymmetric":[144],"mapping":[145],"between":[146],"reduces":[149],"shift.":[152],"Knowledge":[153],"used":[156],"mine":[158],"prior":[159],"from":[161],"Experimental":[165],"results":[166],"demonstrate":[167],"that":[168],"proposed":[170],"ATLA":[171],"substantially":[172],"boosts":[173],"performance":[175],"model,":[179],"outperforms":[181],"existing":[183],"parameter-transfer":[184],"approach.":[185],"With":[186,203],"half":[187],"reduced,":[192],"achieves":[196],"competitive":[197],"recognition":[198],"accuracy":[199,210],"supervised":[201],"learning.":[202],"one-tenth":[204],"data,":[207],"promoted":[209],"up":[212],"17.3%":[214],"points.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
