{"id":"https://openalex.org/W7133317825","doi":"https://doi.org/10.1109/tccn.2026.3670165","title":"A Dynamic Adaptive Deep Coding-Classification Framework for Intelligent Pragmatic Tasks in Semantic Communication","display_name":"A Dynamic Adaptive Deep Coding-Classification Framework for Intelligent Pragmatic Tasks in Semantic Communication","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7133317825","doi":"https://doi.org/10.1109/tccn.2026.3670165"},"language":null,"primary_location":{"id":"doi:10.1109/tccn.2026.3670165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3670165","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5002103818","display_name":"Mengyi Yan","orcid":"https://orcid.org/0009-0006-9991-0267"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingdie Yan","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069646414","display_name":"LiKun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Likun Huang","raw_affiliation_strings":["School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127956011","display_name":"Qiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106556783","display_name":"Ronghua Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ronghua Liu","raw_affiliation_strings":["Wuhan Jingce Electronic Group Company Ltd., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Jingce Electronic Group Company Ltd., Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102629811","display_name":"Zian Meng","orcid":"https://orcid.org/0009-0001-7965-0668"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zian Meng","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100869580","display_name":"Wenqian Tang","orcid":"https://orcid.org/0009-0001-9089-0638"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqian Tang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127972519","display_name":"Xiaohu Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Ge","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5002103818"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79281102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"6582","last_page":"6597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.22529999911785126,"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":0.22529999911785126,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.14650000631809235,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.04670000076293945,"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/convolution","display_name":"Convolution (computer science)","score":0.5073999762535095},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4316999912261963},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.428600013256073},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4106000065803528},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4101000130176544},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4034999907016754},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4009999930858612},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.38909998536109924},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38659998774528503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37869998812675476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.920199990272522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598000288009644},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5073999762535095},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.428600013256073},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.38909998536109924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.365200012922287},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.33239999413490295},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.27900001406669617},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.2578999996185303},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2026.3670165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3670165","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4048924446105957,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2099111195","https://openalex.org/W2107167880","https://openalex.org/W2108598243","https://openalex.org/W2128597305","https://openalex.org/W2194775991","https://openalex.org/W2589642737","https://openalex.org/W2946889564","https://openalex.org/W2948427854","https://openalex.org/W2971153810","https://openalex.org/W3036851434","https://openalex.org/W3102125291","https://openalex.org/W3107617916","https://openalex.org/W3125719944","https://openalex.org/W3166791908","https://openalex.org/W3177376120","https://openalex.org/W3198139956","https://openalex.org/W3201394241","https://openalex.org/W3207494168","https://openalex.org/W3212941463","https://openalex.org/W3214462705","https://openalex.org/W4225009676","https://openalex.org/W4226042246","https://openalex.org/W4312050893","https://openalex.org/W4313350178","https://openalex.org/W4313350220","https://openalex.org/W4315630799","https://openalex.org/W4319971326","https://openalex.org/W4376480669","https://openalex.org/W4381802353","https://openalex.org/W4388937205","https://openalex.org/W4390722043","https://openalex.org/W4392824743","https://openalex.org/W4394627253","https://openalex.org/W4396909799","https://openalex.org/W4400275583","https://openalex.org/W4400409682","https://openalex.org/W4405022613","https://openalex.org/W4406858660","https://openalex.org/W4408183478","https://openalex.org/W4408947495","https://openalex.org/W4410491687","https://openalex.org/W4416294405"],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"communication":[1],"is":[2,45,73,134,143],"a":[3,32,58,64,126,137,179],"promising":[4],"paradigm":[5],"for":[6,40],"intelligent":[7],"task-oriented":[8],"services":[9],"under":[10,174],"dynamic":[11,78,146],"and":[12,25,43,57,84,93,110,119,152,197],"resource-constrained":[13],"environments.":[14],"However,":[15],"current":[16],"designs":[17],"suffer":[18],"from":[19],"limited":[20],"generalization,":[21],"high":[22,175],"model":[23],"computation,":[24],"inefficient":[26],"training.":[27],"To":[28],"address":[29],"these":[30],"issues,":[31],"universal":[33],"Dynamic":[34],"Adaptive":[35],"Deep":[36],"Coding-Classification":[37],"(DADC-C)":[38],"framework":[39,163],"image":[41],"reconstruction":[42,151],"classification":[44,120,153,172],"first":[46],"proposed.":[47],"Within":[48],"this":[49],"framework,":[50],"by":[51,108,116,122],"integrating":[52],"Attention":[53],"Feature":[54],"Blocks":[55],"(AFBs)":[56],"semantic":[59,128],"code":[60],"(SC)":[61],"mask":[62],"mechanism,":[63],"deep":[65],"joint":[66,127],"source-channel":[67],"coding":[68],"(DeepJSCC)":[69],"model,":[70],"i.e.":[71],"DynamicJSCCR,":[72],"then":[74],"developed":[75],"with":[76,145,167,186],"dual":[77],"adaptation":[79],"to":[80,148,169,182],"signal-to-noise":[81],"ratio":[82],"(SNR)":[83],"compression":[85],"rate":[86],"(CR).":[87],"Through":[88],"selective":[89],"application":[90],"of":[91,104],"AFBs":[92],"streamlined":[94],"Residual":[95],"Convolution":[96],"Blocks,":[97],"the":[98,112,150,159],"proposed":[99,160],"lightweight":[100],"DynamicJSCC-R":[101],"reduces":[102],"computation":[103],"floating-point":[105],"operations":[106],"(FLOPs)":[107],"85%":[109],"improves":[111],"peak":[113],"SNR":[114],"(PSNR)":[115],"1.61":[117],"dB":[118],"accuracy":[121,173],"1.4%,":[123],"respectively.":[124],"Furthermore,":[125],"coding-pragmatic":[129],"task":[130],"(SC-PT)":[131],"training":[132],"strategy":[133],"proposed,":[135],"where":[136],"novel":[138],"CR-based":[139],"binary":[140],"loss":[141],"function":[142],"designed":[144],"weights":[147],"balance":[149],"objectives.":[154],"Experimental":[155],"results":[156],"show":[157],"that":[158],"single-model":[161],"DADC-C":[162],"outperforms":[164],"traditional":[165],"methods":[166],"up":[168],"30%":[170],"higher":[171],"SNRs,":[176],"while":[177],"achieving":[178],"comparable":[180],"performance":[181],"multi-model":[183],"DeepJSCC":[184],"schemes":[185],"order-of-magnitude":[187],"advantages":[188],"in":[189],"parameters,":[190],"FLOPs,":[191],"latency,":[192],"frames":[193],"per":[194],"second":[195],"(FPS)":[196],"storage.":[198]},"counts_by_year":[],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2026-03-04T00:00:00"}
