{"id":"https://openalex.org/W4388426775","doi":"https://doi.org/10.1109/spawc53906.2023.10304466","title":"Few-Shot Modulation Recognition with Feature Transformation and Meta-Learning","display_name":"Few-Shot Modulation Recognition with Feature Transformation and Meta-Learning","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4388426775","doi":"https://doi.org/10.1109/spawc53906.2023.10304466"},"language":"en","primary_location":{"id":"doi:10.1109/spawc53906.2023.10304466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc53906.2023.10304466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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/A5113040870","display_name":"Wendi Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wendi Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617494","display_name":"Yuan Zeng","orcid":"https://orcid.org/0000-0002-5260-8064"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Zeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687951","display_name":"Yi Gong","orcid":"https://orcid.org/0000-0001-7392-8991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Gong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6534,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69804481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9973000288009644,"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":0.9973000288009644,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553591728210449},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6471738815307617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6425240635871887},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.580597996711731},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5734384059906006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5686137080192566},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5538991093635559},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5268248915672302},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5268039703369141},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.521014928817749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4408479630947113},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3974897563457489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0787738561630249},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07404091954231262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553591728210449},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6471738815307617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6425240635871887},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.580597996711731},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5734384059906006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5686137080192566},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5538991093635559},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5268248915672302},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5268039703369141},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.521014928817749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4408479630947113},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3974897563457489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0787738561630249},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07404091954231262},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc53906.2023.10304466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc53906.2023.10304466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"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/W1522301498","https://openalex.org/W2272847350","https://openalex.org/W2562146178","https://openalex.org/W2603396821","https://openalex.org/W2604763608","https://openalex.org/W2916820451","https://openalex.org/W3032977069","https://openalex.org/W3095073866","https://openalex.org/W3115053547","https://openalex.org/W3175337163","https://openalex.org/W4205566659","https://openalex.org/W4205590867","https://openalex.org/W4205789684","https://openalex.org/W4285238813","https://openalex.org/W4285741054","https://openalex.org/W6631190155","https://openalex.org/W6736057607","https://openalex.org/W6797636097","https://openalex.org/W6917408469"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W1983331834","https://openalex.org/W4283332751"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1],"(FSL)":[2],"has":[3],"attracted":[4],"much":[5],"attention":[6],"in":[7,40,80,100,164],"the":[8,81,86,101,106,111,121,124,135,141,149,157,165],"fields":[9],"of":[10,89,123,144],"image":[11],"and":[12,49,95,147],"audio":[13],"classification,":[14],"but":[15],"few":[16],"efforts":[17],"have":[18],"been":[19],"made":[20],"on":[21,128],"few-shot":[22,66,129,166],"modulation":[23,34,57,67,130,150],"recognition.":[24,131],"It":[25],"requires":[26],"classification":[27],"models":[28],"to":[29,32,84,104],"quickly":[30],"adapt":[31],"new":[33],"recognition":[35,58,68],"tasks":[36,51],"with":[37],"a":[38,65,77,96],"shift":[39,46],"task":[41,44,112],"distribution.":[42],"The":[43],"distribution":[45,113],"between":[47],"training":[48],"testing":[50],"is":[52],"critical":[53],"for":[54],"FSL-based":[55],"automatic":[56],"(AMR).":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"framework":[69,75,127,137],"using":[70],"model-agnostic":[71],"meta-learning":[72],"(MAML).":[73],"Our":[74],"includes":[76],"single":[78],"vector":[79],"meta-training":[82],"structure":[83,103],"mitigate":[85],"permutation":[87],"problem":[88],"class":[90],"label":[91],"assignments":[92],"during":[93],"meta-testing":[94,102],"feature":[97],"transformation":[98],"function":[99],"alleviate":[105],"channel":[107],"bias":[108],"caused":[109],"by":[110],"shift.":[114],"We":[115],"provide":[116],"an":[117],"in-depth":[118],"analysis":[119],"about":[120],"effectiveness":[122],"proposed":[125,136,158],"AMR":[126],"Experimental":[132],"results":[133],"demonstrate":[134],"can":[138],"greatly":[139],"improve":[140],"generalization":[142],"ability":[143],"learned":[145],"features":[146],"thus":[148],"accuracy.":[151],"Moreover,":[152],"comparison":[153],"experiments":[154],"show":[155],"that":[156],"method":[159],"outperforms":[160],"four":[161],"baseline":[162],"methods":[163],"setting.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}