{"id":"https://openalex.org/W4382053076","doi":"https://doi.org/10.1109/icccs57501.2023.10151200","title":"On the Discussion of the Semantic Communication with the Transmission of MNIST Dataset","display_name":"On the Discussion of the Semantic Communication with the Transmission of MNIST Dataset","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4382053076","doi":"https://doi.org/10.1109/icccs57501.2023.10151200"},"language":"en","primary_location":{"id":"doi:10.1109/icccs57501.2023.10151200","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccs57501.2023.10151200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","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/A5100660359","display_name":"Kaijun Liu","orcid":"https://orcid.org/0000-0002-2274-783X"},"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/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaijun Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101492344","display_name":"Chen Dong","orcid":"https://orcid.org/0000-0002-3443-1453"},"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/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Dong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061030501","display_name":"Xiaodong Xu","orcid":"https://orcid.org/0000-0003-4245-5989"},"institutions":[{"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"]},{"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/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, 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":"last","author":{"id":"https://openalex.org/A5110367067","display_name":"Geng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Liu","raw_affiliation_strings":["Beijing Smart-chip Microelectronics Technology Co. ltd,Beijing,China","Beijing Smart-chip Microelectronics Technology Co. ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Smart-chip Microelectronics Technology Co. ltd,Beijing,China","institution_ids":["https://openalex.org/I4210089056"]},{"raw_affiliation_string":"Beijing Smart-chip Microelectronics Technology Co. ltd, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100660359"],"corresponding_institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"],"apc_list":null,"apc_paid":null,"fwci":0.3503,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63823019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"875","last_page":"879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9801999926567078,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9517999887466431,"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":0.7241543531417847},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6684088706970215},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6152957677841187},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5184754729270935},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4920453727245331},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4802006483078003},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.4686999022960663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46782463788986206},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.46515923738479614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3804885149002075},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.3393019437789917},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32945072650909424},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.326215922832489},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32104891538619995},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.278500497341156},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14761468768119812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13094154000282288},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.1224469542503357},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08871236443519592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241543531417847},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6684088706970215},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6152957677841187},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5184754729270935},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4920453727245331},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4802006483078003},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.4686999022960663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46782463788986206},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.46515923738479614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3804885149002075},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3393019437789917},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32945072650909424},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.326215922832489},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32104891538619995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.278500497341156},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14761468768119812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13094154000282288},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.1224469542503357},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08871236443519592},{"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs57501.2023.10151200","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccs57501.2023.10151200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3399646402","display_name":null,"funder_award_id":"2482021RC01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2037492706","https://openalex.org/W2133249991","https://openalex.org/W2304387544","https://openalex.org/W2586726222","https://openalex.org/W2946889564","https://openalex.org/W2982525692","https://openalex.org/W3013166999","https://openalex.org/W3036851434","https://openalex.org/W3107617916","https://openalex.org/W3166791908","https://openalex.org/W3166861417","https://openalex.org/W3202895480","https://openalex.org/W4226150551","https://openalex.org/W4313029419","https://openalex.org/W4317350116","https://openalex.org/W6809628761","https://openalex.org/W6810966997"],"related_works":["https://openalex.org/W2026635458","https://openalex.org/W2018066836","https://openalex.org/W3012445987","https://openalex.org/W3134365128","https://openalex.org/W2038882528","https://openalex.org/W2277021700","https://openalex.org/W2035647422","https://openalex.org/W3009520654","https://openalex.org/W2250607250","https://openalex.org/W4252266283"],"abstract_inverted_index":{"Inspired":[0],"by":[1,137,209],"the":[2,24,46,49,52,68,71,75,85,111,130,133,153,157,163,172,177,183,190,194,201,205,217,225],"success":[3],"of":[4,33,80,84,88,115,160,174,204],"artificial":[5],"intelligence":[6],"(AI)":[7],"in":[8,67,100,110,132,152,176,193],"various":[9],"fields,":[10],"recently,":[11],"AI-based":[12],"semantic":[13,37,60,89,108,125,184],"communication":[14,38,61,109],"has":[15],"been":[16],"studied":[17],"extensively":[18],"and":[19,65,77,94,139,150,169],"achieved":[20],"great":[21],"success.":[22],"However,":[23],"existing":[25],"works":[26],"may":[27],"not":[28,141],"provide":[29],"a":[30,119],"comprehensive":[31],"understanding":[32],"how":[34],"channels":[35],"affect":[36,107],"from":[39],"phenomena.":[40],"In":[41],"this":[42,101],"paper,":[43],"based":[44],"on":[45,48],"observations":[47],"MNIST":[50],"dataset,":[51],"following":[53],"questions":[54],"are":[55,98,135],"discussed:":[56],"(1)":[57],"Why":[58],"is":[59,82,118,148,170,198,211],"robust?":[62],"We":[63],"believe":[64],"observe":[66],"experiments":[69],"that":[70,162,200],"trade-off":[72],"learning":[73],"between":[74],"characteristic":[76],"common":[78],"information":[79],"data":[81],"one":[83],"key":[86],"properties":[87],"communication.":[90],"The":[91,144],"\u201cchannel":[92],"robustness\u201d":[93],"\u201chard":[95],"generalization\u201d":[96],"phenomena":[97],"explained":[99],"perspective.":[102],"(2)":[103],"How":[104,181],"does":[105,182],"noise":[106,138,192,210],"AWGN":[112,178,195],"channel?":[113,196],"Because":[114],"noise,":[116],"there":[117],"smallest":[120],"distinguishable":[121,168],"unit,":[122],"called":[123],"as":[124],"constellation":[126],"cluster":[127],"(SCC),":[128],"where":[129],"features":[131,161,164,188],"SCC":[134,175],"confused":[136],"can":[140,165],"be":[142,167,214],"distinguishable.":[143],"feature":[145],"criterion":[146],"(FC)":[147],"analyzed":[149],"observed":[151],"experiments,":[154],"which":[155],"means":[156],"minimum":[158],"distance":[159],"just":[166],"also":[171],"radius":[173],"channel.":[179],"(3)":[180],"decoder":[185],"distinguish":[186,215],"noised":[187],"under":[189,224],"large":[191,226],"It":[197],"found":[199],"outer":[202],"edge":[203],"expending":[206],"space":[207],"brought":[208],"easy":[212],"to":[213],"for":[216],"decoder,":[218],"thus":[219],"maintaining":[220],"fairly":[221],"good":[222],"performance":[223],"noise.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}