{"id":"https://openalex.org/W4317350116","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012843","title":"Robust Semantic Communications Against Semantic Noise","display_name":"Robust Semantic Communications Against Semantic Noise","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4317350116","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012843"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-fall57202.2022.10012843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-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/A5051892787","display_name":"Qiyu Hu","orcid":"https://orcid.org/0000-0002-8540-7197"},"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":"Qiyu Hu","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"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":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"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/A5044671638","display_name":"Zhijin Qin","orcid":"https://orcid.org/0000-0002-8507-3975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijin Qin","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China","Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","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":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"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/A5079187892","display_name":"Guanding Yu","orcid":"https://orcid.org/0000-0003-1354-2557"},"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":"Guanding Yu","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"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/A5039289964","display_name":"Geoffrey Ye Li","orcid":"https://orcid.org/0000-0002-7894-2415"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Geoffrey Ye Li","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,London,UK","Department of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051892787"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":9.0791,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.98569157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.996399998664856,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.987500011920929,"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":0.8051596879959106},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.7893277406692505},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6203222274780273},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.5607615113258362},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.5129489302635193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4917609989643097},{"id":"https://openalex.org/keywords/semantic-grid","display_name":"Semantic grid","score":0.462659627199173},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.45832693576812744},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4240399897098541},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.42212796211242676},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.4208301603794098},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.385820209980011},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.30867522954940796},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1846737563610077},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14064541459083557},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.08902809023857117},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.06610888242721558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051596879959106},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.7893277406692505},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6203222274780273},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.5607615113258362},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.5129489302635193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4917609989643097},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.462659627199173},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.45832693576812744},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4240399897098541},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.42212796211242676},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.4208301603794098},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.385820209980011},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.30867522954940796},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1846737563610077},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14064541459083557},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.08902809023857117},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.06610888242721558},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-fall57202.2022.10012843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2752796333","https://openalex.org/W2946889564","https://openalex.org/W2948427854","https://openalex.org/W2964082701","https://openalex.org/W2964248614","https://openalex.org/W3016715915","https://openalex.org/W3036851434","https://openalex.org/W3102125291","https://openalex.org/W3198139956","https://openalex.org/W4226150551","https://openalex.org/W4293846201","https://openalex.org/W4313156423","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6719080892","https://openalex.org/W6784426856","https://openalex.org/W6810966997"],"related_works":["https://openalex.org/W3012445987","https://openalex.org/W3134365128","https://openalex.org/W2280628760","https://openalex.org/W4391174801","https://openalex.org/W2038882528","https://openalex.org/W1990650227","https://openalex.org/W4200411507","https://openalex.org/W2389674590","https://openalex.org/W2016166863","https://openalex.org/W2382508873"],"abstract_inverted_index":{"Although":[0],"the":[1,14,20,23,45,48,64,72,78,93,104,110,114,121,133,140,149,161,164,171,177,183,194,207],"semantic":[2,17,39,50,67,73,81,96,107,126,143,197,201],"communications":[3],"have":[4,25],"exhibited":[5],"satisfactory":[6],"performance":[7],"in":[8,38,109,182],"a":[9,33,61,85,124,130,156],"large":[10],"number":[11],"of":[12,16,22,36,80,95,123,132,142,179,196],"tasks,":[13],"impact":[15],"noise":[18,31,37,82,108,202],"and":[19,52,83,163],"robustness":[21,141,195],"systems":[24,69,199],"not":[26],"been":[27],"well":[28],"investigated.":[29],"Semantic":[30],"is":[32,100,118,135],"particular":[34],"kind":[35],"communication":[40,68,127,144,198],"systems,":[41,145],"which":[42],"refers":[43],"to":[44,70,88,102,154,175],"misleading":[46],"between":[47],"intended":[49],"symbols":[51],"received":[53],"ones.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,76,146],"first":[59],"propose":[60,84],"framework":[62],"for":[63,166],"robust":[65,125],"end-to-end":[66],"combat":[71],"noise.":[74],"Particularly,":[75],"analyze":[77],"causes":[79],"practical":[86],"method":[87,191],"generate":[89],"it.":[90],"To":[91,137],"remove":[92],"effect":[94],"noise,":[97],"adversarial":[98],"training":[99,111],"proposed":[101,190],"incorporate":[103],"samples":[105],"with":[106,203],"dataset.":[112],"Then,":[113],"masked":[115],"autoencoder":[116,152],"(MAE)":[117],"designed":[119],"as":[120],"architecture":[122],"system,":[128],"where":[129],"portion":[131],"input":[134],"masked.":[136],"further":[138],"improve":[139],"firstly":[147],"employ":[148],"vector":[150],"quantization-variational":[151],"(VQ-VAE)":[153],"design":[155],"discrete":[157],"codebook":[158],"shared":[159],"by":[160],"transmitter":[162,172],"receiver":[165],"encoded":[167],"feature":[168],"representation.":[169],"Thus,":[170],"simply":[173],"needs":[174],"transmit":[176],"indices":[178],"these":[180],"features":[181],"codebook.":[184],"Simulation":[185],"results":[186],"show":[187],"that":[188],"our":[189],"significantly":[192],"improves":[193],"against":[200],"significant":[204],"reduction":[205],"on":[206],"transmission":[208],"overhead.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":11}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
