{"id":"https://openalex.org/W4286374862","doi":"https://doi.org/10.1109/tccn.2022.3192407","title":"Semantic Coding for Text Transmission: An Iterative Design","display_name":"Semantic Coding for Text Transmission: An Iterative Design","publication_year":2022,"publication_date":"2022-07-20","ids":{"openalex":"https://openalex.org/W4286374862","doi":"https://doi.org/10.1109/tccn.2022.3192407"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2022.3192407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2022.3192407","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/A5001392563","display_name":"Shengshi Yao","orcid":"https://orcid.org/0000-0001-5463-8614"},"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":"Shengshi Yao","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, 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/A5008455605","display_name":"Kai Niu","orcid":"https://orcid.org/0000-0002-8076-1867"},"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"]},{"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":"Kai Niu","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014392382","display_name":"Sixian Wang","orcid":"https://orcid.org/0000-0002-0621-1285"},"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":"Sixian Wang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, 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/A5069582226","display_name":"Jincheng Dai","orcid":"https://orcid.org/0000-0002-0310-568X"},"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":"Jincheng Dai","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, 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/A5001392563"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":5.378,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.9618287,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"8","issue":"4","first_page":"1594","last_page":"1603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9955999851226807,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9955999851226807,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9919000267982483,"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/T12029","display_name":"DNA and Biological Computing","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8667382001876831},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6322144865989685},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4917007088661194},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4831101894378662},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.46051159501075745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44488316774368286},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4383874237537384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3836020827293396},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.1527964472770691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8667382001876831},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6322144865989685},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4917007088661194},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4831101894378662},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.46051159501075745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44488316774368286},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4383874237537384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3836020827293396},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.1527964472770691}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2022.3192407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2022.3192407","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":[{"score":0.5600000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6780184771","display_name":null,"funder_award_id":"92067202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6819493237","display_name":null,"funder_award_id":"62071058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8570612936","display_name":null,"funder_award_id":"PCL2021A15","funder_id":"https://openalex.org/F4320318558","funder_display_name":"Peng Cheng Laboratory"}],"funders":[{"id":"https://openalex.org/F4320318558","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06"},{"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":49,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1647671624","https://openalex.org/W1924770834","https://openalex.org/W2051888076","https://openalex.org/W2060108852","https://openalex.org/W2064675550","https://openalex.org/W2102251435","https://openalex.org/W2128765501","https://openalex.org/W2130942839","https://openalex.org/W2148575324","https://openalex.org/W2157331557","https://openalex.org/W2169732368","https://openalex.org/W2181347294","https://openalex.org/W2250539671","https://openalex.org/W2547875792","https://openalex.org/W2587741066","https://openalex.org/W2896457183","https://openalex.org/W2951542323","https://openalex.org/W2962824709","https://openalex.org/W2963174256","https://openalex.org/W2963434219","https://openalex.org/W2963599420","https://openalex.org/W2971153810","https://openalex.org/W2993383518","https://openalex.org/W2996428491","https://openalex.org/W3015786140","https://openalex.org/W3034772996","https://openalex.org/W3036851434","https://openalex.org/W3102516861","https://openalex.org/W3166791908","https://openalex.org/W4226195457","https://openalex.org/W4256264271","https://openalex.org/W4385245566","https://openalex.org/W6600880057","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6636915900","https://openalex.org/W6640212811","https://openalex.org/W6679436768","https://openalex.org/W6685777803","https://openalex.org/W6729448088","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6761632846","https://openalex.org/W6768021236","https://openalex.org/W6772381481","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W3166920139","https://openalex.org/W3203142394","https://openalex.org/W4302615923","https://openalex.org/W2351061015","https://openalex.org/W4220731478","https://openalex.org/W2017509870","https://openalex.org/W1497573972","https://openalex.org/W1846253165","https://openalex.org/W2071659383","https://openalex.org/W2124122503"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,16,24,38,81,87,100,104,114,120,133,138,152,157],"wireless":[3,171],"text":[4,90,110,160],"transmission":[5,47],"using":[6,48],"joint":[7,32,163],"source-channel":[8],"coding":[9,13],"(JSCC).":[10],"Classical":[11],"source":[12,27,33,39],"only":[14],"considers":[15],"syntactic":[17],"information":[18,41,98],"based":[19,31],"on":[20],"probabilistic":[21],"models,":[22],"ignoring":[23],"meaning":[25],"of":[26,108,116,140,159],"messages.":[28],"Neural":[29],"network":[30],"and":[34,91,136,166],"channel":[35,58,101],"coders":[36],"handle":[37],"semantic":[40,46,74,130],"more":[42],"efficiently.":[43],"However,":[44],"existing":[45],"end-to-end":[49],"neural":[50],"networks":[51],"do":[52],"not":[53],"generalize":[54],"well":[55],"under":[56],"varying":[57],"conditions.":[59],"To":[60],"tackle":[61],"this,":[62],"we":[63,112],"propose":[64],"a":[65,96],"semi-neural":[66],"framework":[67,154],"with":[68],"an":[69],"iterative":[70,73,141,164],"architecture,":[71],"named":[72],"JSCC":[75],"(IS-JSCC).":[76],"Specifically,":[77],"at":[78],"each":[79],"iteration,":[80],"remaining":[82],"semantics":[83,115],"is":[84,92],"extracted":[85],"from":[86],"intermediate":[88],"decoded":[89],"then":[93],"used":[94],"as":[95,143],"priori":[97],"for":[99],"decoder":[102],"in":[103,119],"next":[105],"iteration.":[106],"Instead":[107],"reconstructing":[109],"explicitly,":[111],"synthesize":[113],"candidate":[117],"words":[118],"embedding":[121],"space,":[122],"weighted":[123],"by":[124,162],"their":[125],"posterior":[126],"probability.":[127],"This":[128],"soft":[129],"synthesis":[131],"alleviates":[132],"error":[134],"propagation":[135],"reduces":[137],"complexity":[139],"decoding":[142,165],"well.":[144],"Results":[145],"show":[146],"that":[147],"compared":[148],"to":[149],"full-neural":[150],"designs,":[151],"proposed":[153],"can":[155],"improve":[156],"quality":[158],"reconstruction":[161],"exhibit":[167],"better":[168],"robustness":[169],"over":[170],"channels.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
