{"id":"https://openalex.org/W4405270412","doi":"https://doi.org/10.1109/lwc.2024.3515656","title":"Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Models","display_name":"Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Models","publication_year":2024,"publication_date":"2024-12-11","ids":{"openalex":"https://openalex.org/W4405270412","doi":"https://doi.org/10.1109/lwc.2024.3515656"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2024.3515656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2024.3515656","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications 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/A5109731574","display_name":"Pujing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pujing Yang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101487990","display_name":"Guangyi Zhang","orcid":"https://orcid.org/0009-0002-2169-311X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyi Zhang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034376590","display_name":"Yunlong Cai","orcid":"https://orcid.org/0000-0001-9418-1700"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Cai","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109731574"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.9357,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86552678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"2","first_page":"539","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507651448249817},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5812821984291077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4873093366622925},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.47157731652259827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32158273458480835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507651448249817},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5812821984291077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4873093366622925},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.47157731652259827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32158273458480835}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2024.3515656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2024.3515656","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1873216522","display_name":null,"funder_award_id":"U22A2004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7766100521","display_name":null,"funder_award_id":"PCL2023AS1-2","funder_id":"https://openalex.org/F4320329742","funder_display_name":"Major Scientific Project of Zhejiang Laboratory"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328373","display_name":"National Key Laboratory Foundation of China","ror":null},{"id":"https://openalex.org/F4320329742","display_name":"Major Scientific Project of Zhejiang Laboratory","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2785562966","https://openalex.org/W2946889564","https://openalex.org/W2962785568","https://openalex.org/W4206175303","https://openalex.org/W4226042246","https://openalex.org/W4312978359","https://openalex.org/W4315629655","https://openalex.org/W4392904259","https://openalex.org/W4393252833","https://openalex.org/W4394804945","https://openalex.org/W4401539456","https://openalex.org/W4405056254","https://openalex.org/W4406948532","https://openalex.org/W6758867260","https://openalex.org/W6765779288","https://openalex.org/W6779823529","https://openalex.org/W6843772381","https://openalex.org/W6853140940","https://openalex.org/W6859794222","https://openalex.org/W6869177682"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4365211920","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W3014948380"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,97,115,155],"deep":[3],"learning-based":[4],"joint":[5],"source-channel":[6],"coding":[7],"(DJSCC)":[8],"have":[9],"shown":[10],"promise":[11],"for":[12],"end-to-end":[13],"semantic":[14],"image":[15,98,116],"transmission.":[16],"However,":[17],"most":[18],"existing":[19,153],"schemes":[20],"primarily":[21],"focus":[22],"on":[23,73],"optimizing":[24],"pixel-wise":[25],"metrics,":[26],"which":[27,113],"often":[28],"fail":[29],"to":[30,36,54,91,132],"align":[31],"with":[32],"human":[33],"perception,":[34],"leading":[35],"lower":[37],"perceptual":[38,57,158],"quality.":[39,159],"In":[40],"this":[41],"letter,":[42],"we":[43,67,126],"propose":[44],"a":[45,93,128],"novel":[46],"generative":[47],"DJSCC":[48],"approach":[49],"using":[50],"conditional":[51,89,94],"diffusion":[52,95],"models":[53],"enhance":[55],"the":[56,74,86,105,134,138,142],"quality":[58],"of":[59,77,141,157],"transmitted":[60,78],"images.":[61],"Specifically,":[62],"by":[63],"utilizing":[64],"entropy":[65,76],"models,":[66],"effectively":[68],"manage":[69],"transmission":[70],"bandwidth":[71],"based":[72],"estimated":[75],"symbols.":[79],"These":[80],"symbols":[81],"are":[82],"then":[83],"used":[84],"at":[85],"receiver":[87],"as":[88],"information":[90],"guide":[92],"decoder":[96],"reconstruction.":[99],"Our":[100],"model":[101],"is":[102],"built":[103],"upon":[104],"emerging":[106],"advanced":[107],"mamba-like":[108],"linear":[109],"attention":[110],"(MLLA)":[111],"skeleton,":[112],"excels":[114],"processing":[117],"tasks":[118],"while":[119],"also":[120],"offering":[121],"fast":[122],"inference":[123],"speed.":[124],"Besides,":[125],"introduce":[127],"multi-stage":[129],"training":[130],"strategy":[131],"ensure":[133],"stability":[135],"and":[136],"improve":[137],"overall":[139],"performance":[140],"model.":[143],"Simulation":[144],"results":[145],"demonstrate":[146],"that":[147],"our":[148],"proposed":[149],"method":[150],"significantly":[151],"outperforms":[152],"approaches":[154],"terms":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}