{"id":"https://openalex.org/W4411086375","doi":"https://doi.org/10.1109/twc.2025.3574468","title":"Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning","display_name":"Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning","publication_year":2025,"publication_date":"2025-06-06","ids":{"openalex":"https://openalex.org/W4411086375","doi":"https://doi.org/10.1109/twc.2025.3574468"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2025.3574468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3574468","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/A5087127443","display_name":"\u6f64 \u6df1\u8c37","orcid":"https://orcid.org/0009-0003-0894-2481"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Run Gu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0003-0894-2481","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013867024","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0001-9341-8382"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9341-8382","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066878475","display_name":"Zhaohui Yang","orcid":"https://orcid.org/0000-0002-4475-589X"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Yang","raw_affiliation_strings":["Zhejiang Laboratory, Hangzhou, China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4475-589X","affiliations":[{"raw_affiliation_string":"Zhejiang Laboratory, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091266202","display_name":"Dusit Niyato","orcid":"https://orcid.org/0000-0002-7442-7416"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dusit Niyato","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7442-7416","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039328157","display_name":"Aylin Yener","orcid":"https://orcid.org/0000-0003-0820-3390"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aylin Yener","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","Department of Electrical and Computer Engineering, The Ohio State University, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-0820-3390","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087127443"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":8.693,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97284082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"24","issue":"11","first_page":"9629","last_page":"9644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9366000294685364,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9366000294685364,"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/computer-science","display_name":"Computer science","score":0.827018141746521},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6163297891616821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.552314281463623},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48828577995300293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827018141746521},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6163297891616821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552314281463623},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48828577995300293},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2025.3574468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3574468","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/G666793759","display_name":null,"funder_award_id":"2020YFB1806608","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2133803123","https://openalex.org/W2142103781","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2798991696","https://openalex.org/W2886374543","https://openalex.org/W2946889564","https://openalex.org/W2963420272","https://openalex.org/W2964121960","https://openalex.org/W3004159785","https://openalex.org/W3005526854","https://openalex.org/W3036851434","https://openalex.org/W3047806505","https://openalex.org/W3102125291","https://openalex.org/W3198659451","https://openalex.org/W3201394241","https://openalex.org/W3212941463","https://openalex.org/W3214462705","https://openalex.org/W4206632990","https://openalex.org/W4225662012","https://openalex.org/W4226115138","https://openalex.org/W4280500786","https://openalex.org/W4312050893","https://openalex.org/W4313350185","https://openalex.org/W4313455370","https://openalex.org/W4317794926","https://openalex.org/W4321490517","https://openalex.org/W4321600745","https://openalex.org/W4323521079","https://openalex.org/W4366386370","https://openalex.org/W4386321924","https://openalex.org/W4387855236","https://openalex.org/W4387872795","https://openalex.org/W4389544673","https://openalex.org/W4392405433","https://openalex.org/W4392908952","https://openalex.org/W4399525892","https://openalex.org/W4400770597","https://openalex.org/W4404479988","https://openalex.org/W4405440434"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Task-oriented":[0],"semantic":[1,8,17,24,27,49,72,90],"communication":[2,18,50],"enhances":[3],"transmission":[4],"efficiency":[5],"by":[6,32,81,136],"conveying":[7],"information":[9,102],"rather":[10],"than":[11],"exact":[12],"messages.":[13],"Deep":[14],"learning":[15,96],"(DL)-based":[16],"can":[19,78],"effectively":[20],"cultivate":[21],"the":[22,101,108,111,114,122,126,166,204,210],"essential":[23],"knowledge":[25],"for":[26,37,95],"extraction,":[28,91],"transmission,":[29],"and":[30,99,117,133,140,189,199],"interpretation":[31],"leveraging":[33],"massive":[34],"labeled":[35,65,162,195],"samples":[36,206],"downstream":[38,211],"task":[39,55,118],"training.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,68,92,129],"propose":[45,146],"a":[46,70,131],"self-supervised":[47,138],"learning-based":[48],"framework":[51,168],"(SLSCom)":[52],"to":[53,64,106,151,209],"enhance":[54,152],"inference":[56,119,154],"performance,":[57],"particularly":[58],"in":[59,83],"scenarios":[60],"with":[61,160],"limited":[62],"access":[63],"samples.":[66,163],"Specifically,":[67],"develop":[69],"task-relevant":[71,89],"encoder":[73],"using":[74],"unlabeled":[75,205],"samples,":[76],"which":[77],"be":[79],"collected":[80],"devices":[82],"real-world":[84],"edge":[85],"networks.":[86],"To":[87],"facilitate":[88],"introduce":[93],"self-supervision":[94],"contrastive":[97],"features":[98,116],"formulate":[100],"bottleneck":[103],"(IB)":[104],"problem":[105],"balance":[107],"tradeoff":[109],"between":[110],"informativeness":[112],"of":[113,125],"extracted":[115],"performance.":[120],"Given":[121],"computational":[123],"challenges":[124],"IB":[127],"problem,":[128],"devise":[130],"practical":[132],"effective":[134],"solution":[135],"employing":[137],"classification":[139,171],"reconstruction":[141],"pretext":[142],"tasks.":[143,212],"We":[144,164],"further":[145],"efficient":[147],"joint":[148],"training":[149],"methods":[150,188],"end-to-end":[153],"accuracy":[155],"over":[156,173],"wireless":[157,175],"channels,":[158],"even":[159,202],"few":[161],"evaluate":[165],"proposed":[167],"on":[169],"image":[170],"tasks":[172],"multipath":[174],"channels.":[176],"Extensive":[177],"simulation":[178],"results":[179],"demonstrate":[180],"that":[181],"SLSCom":[182],"significantly":[183],"outperforms":[184],"conventional":[185],"digital":[186],"coding":[187],"existing":[190],"DL-based":[191],"approaches":[192],"across":[193],"varying":[194],"data":[196],"set":[197],"sizes":[198],"SNR":[200],"conditions,":[201],"when":[203],"are":[207],"irrelevant":[208]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}