{"id":"https://openalex.org/W4390722043","doi":"https://doi.org/10.1109/twc.2023.3349330","title":"Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding","display_name":"Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390722043","doi":"https://doi.org/10.1109/twc.2023.3349330"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2023.3349330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3349330","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","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/A5017401827","display_name":"Zhonghao Lyu","orcid":"https://orcid.org/0000-0002-0980-1395"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhonghao Lyu","raw_affiliation_strings":["Future Network of Intelligence Institute (FNii) and the School of Science and Engineering (SSE), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii) and the School of Science and Engineering (SSE), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004583148","display_name":"Guangxu Zhu","orcid":"https://orcid.org/0000-0001-9532-9201"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxu Zhu","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China","Pazhou Laboratory (Huangpu), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Pazhou Laboratory (Huangpu), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008162410","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0002-4854-8839"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["School of Science and Engineering (SSE), Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","School of Science and Engineering (SSE) and the Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering (SSE), Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering (SSE) and the Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620739","display_name":"Bo Ai","orcid":"https://orcid.org/0000-0001-6850-0595"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ai","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["School of Science and Engineering (SSE), Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","School of Science and Engineering (SSE) and the Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering (SSE), Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering (SSE) and the Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017401827"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":21.8039,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.99736299,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"23","issue":"8","first_page":"8388","last_page":"8404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9534000158309937,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7175872325897217},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5597354173660278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5194661021232605},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5183314085006714},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.4937950074672699},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4589885175228119},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4118134081363678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3783074617385864},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3716556429862976},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.34073925018310547},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3316258192062378},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10182645916938782},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09621667861938477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175872325897217},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5597354173660278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5194661021232605},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5183314085006714},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.4937950074672699},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4589885175228119},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4118134081363678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3783074617385864},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3716556429862976},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.34073925018310547},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3316258192062378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10182645916938782},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09621667861938477},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2023.3349330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3349330","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2081767737","display_name":null,"funder_award_id":"2022JBXT001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2497697648","display_name":null,"funder_award_id":"92267202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2622873121","display_name":null,"funder_award_id":"JCYJ20210324133405015","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G2731245816","display_name":null,"funder_award_id":"2021YFB3901302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4343221693","display_name":null,"funder_award_id":"2020YFB1806604","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4811745767","display_name":null,"funder_award_id":"U2001208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5092299349","display_name":null,"funder_award_id":"2022A1515010109","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5331489779","display_name":null,"funder_award_id":"62221001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5502925390","display_name":null,"funder_award_id":"62001310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5919707873","display_name":null,"funder_award_id":"2018B030338001","funder_id":"https://openalex.org/F4320336405","funder_display_name":"Special Project for Research and Development in Key areas of Guangdong Province"},{"id":"https://openalex.org/G6352250275","display_name":null,"funder_award_id":"62293482","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6440702721","display_name":null,"funder_award_id":"2021YFB2900301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7052355602","display_name":null,"funder_award_id":"2022JBQY004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336405","display_name":"Special Project for Research and Development in Key areas of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2099111195","https://openalex.org/W2133665775","https://openalex.org/W2164931791","https://openalex.org/W2194775991","https://openalex.org/W2946889564","https://openalex.org/W2951287298","https://openalex.org/W2963201472","https://openalex.org/W2978725006","https://openalex.org/W3005526854","https://openalex.org/W3036851434","https://openalex.org/W3102125291","https://openalex.org/W3114632476","https://openalex.org/W3118608800","https://openalex.org/W3134818623","https://openalex.org/W3166791908","https://openalex.org/W3188554269","https://openalex.org/W3192880923","https://openalex.org/W3197326271","https://openalex.org/W3211862227","https://openalex.org/W3212941463","https://openalex.org/W3214462705","https://openalex.org/W4206175303","https://openalex.org/W4220862273","https://openalex.org/W4226042246","https://openalex.org/W4280516351","https://openalex.org/W4296415377","https://openalex.org/W4312050893","https://openalex.org/W4312772811","https://openalex.org/W4313350220","https://openalex.org/W4313455370","https://openalex.org/W4315630065","https://openalex.org/W4321618026","https://openalex.org/W4382119085","https://openalex.org/W4393028727","https://openalex.org/W6780322082","https://openalex.org/W6787972765","https://openalex.org/W6810057765","https://openalex.org/W6843358792"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W4242191701","https://openalex.org/W2545303390","https://openalex.org/W2154612888","https://openalex.org/W1985968643","https://openalex.org/W2152012878","https://openalex.org/W2133231244"],"abstract_inverted_index":{"With":[0],"the":[1,30,35,57,74,101,111,131,137,144,148,154,167,171,175,189,213,232,259,267,281,285,298,302],"recent":[2],"advancements":[3],"in":[4,54,143,166,203],"edge":[5],"artificial":[6],"intelligence":[7],"(AI),":[8],"future":[9],"sixth-generation":[10],"(6G)":[11],"networks":[12],"need":[13],"to":[14,93,105,161,186,216,230,242,295],"support":[15,106],"new":[16,51,124,198],"AI":[17,85],"tasks":[18,164],"such":[19],"as":[20,50,240],"classification":[21,116,163,282],"and":[22,37,44,64,115,136,170,258],"clustering":[23],"apart":[24],"from":[25,56],"data":[26,82,113,183],"recovery.":[27,184],"Motivated":[28],"by":[29,109,129],"success":[31],"of":[32,81,156,177,234],"deep":[33,41,75,126,200,237,262],"learning,":[34],"semantic-aware":[36],"task-oriented":[38],"communications":[39,60,104],"with":[40,61,270],"joint":[42],"source":[43,63],"channel":[45,65,222],"coding":[46,66,132,149,289],"(JSCC)":[47],"have":[48],"emerged":[49],"paradigm":[52],"shifts":[53],"6G":[55],"conventional":[58],"data-oriented":[59],"separate":[62],"(SSCC).":[67],"However,":[68],"most":[69],"existing":[70],"works":[71],"focused":[72],"on":[73,221,284],"JSCC":[76,102,127,201,238,263],"designs":[77,239,252],"for":[78,159,180,210],"one":[79],"task":[80,86,117,283],"recovery":[83,114],"or":[84],"execution":[87,118],"independently,":[88],"which":[89,204],"cannot":[90],"be":[91],"transferred":[92],"other":[94],"unintended":[95],"tasks.":[96],"Differently,":[97],"this":[98],"paper":[99],"investigates":[100],"semantic":[103],"multi-task":[107,256],"services,":[108,257],"performing":[110,280],"image":[112,182],"simultaneously.":[119],"First,":[120],"we":[121,195,225],"propose":[122,196],"a":[123,197,205],"end-to-end":[125],"framework":[128,264],"unifying":[130],"rate":[133,150,290],"reduction":[134,151,291],"maximization":[135,152,292],"mean":[138],"square":[139],"error":[140],"(MSE)":[141],"minimization":[142,173],"loss":[145],"function.":[146],"Here,":[147],"facilitates":[153],"learning":[155,176],"discriminative":[157],"features":[158,179,215],"enabling":[160],"perform":[162],"directly":[165],"feature":[168,286],"space,":[169],"MSE":[172],"helps":[174],"informative":[178],"high-quality":[181],"Next,":[185],"further":[187],"improve":[188],"robustness":[190],"against":[191],"variational":[192],"wireless":[193],"channels,":[194],"gated":[199,206,261],"design,":[202],"net":[207],"is":[208,247,276,293],"incorporated":[209],"adaptively":[211],"pruning":[212],"output":[214],"adjust":[217],"their":[218],"dimensions":[219],"based":[220],"conditions.":[223],"Finally,":[224],"present":[226],"extensive":[227],"numerical":[228],"experiments":[229],"validate":[231],"performance":[233,273],"our":[235,250],"proposed":[236,251,260],"compared":[241],"various":[243],"benchmark":[244],"schemes.":[245],"It":[246,275],"shown":[248,278],"that":[249,279],"simultaneously":[253],"provide":[254],"efficient":[255],"efficiently":[265],"reduces":[266],"communication":[268],"overhead":[269],"only":[271],"marginal":[272],"loss.":[274],"also":[277],"space":[287],"via":[288],"able":[294],"better":[296],"defend":[297],"label":[299],"corruption":[300],"than":[301],"traditional":[303],"label-fitting":[304],"methods.":[305]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":63},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
