{"id":"https://openalex.org/W4391468327","doi":"https://doi.org/10.1109/wcsp58612.2023.10404439","title":"Multi-Class Image Generation from EEG Features with Conditional Generative Adversarial Networks","display_name":"Multi-Class Image Generation from EEG Features with Conditional Generative Adversarial Networks","publication_year":2023,"publication_date":"2023-11-02","ids":{"openalex":"https://openalex.org/W4391468327","doi":"https://doi.org/10.1109/wcsp58612.2023.10404439"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp58612.2023.10404439","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp58612.2023.10404439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5025137837","display_name":"Yiping Duan","orcid":"https://orcid.org/0000-0001-9638-7112"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]},{"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":true,"raw_author_name":"Yiping Duan","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China","Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4210156423"]},{"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/A5076963662","display_name":"Shuzhan Hu","orcid":"https://orcid.org/0000-0002-7333-3821"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]},{"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":"Shuzhan Hu","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China","Department of Electronic Engineering, Tsinghua University, Beijing, China","Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China"],"raw_orcid":null,"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"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101098273","display_name":"Xin Ma","orcid":"https://orcid.org/0000-0001-5240-1867"},"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"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ma","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China","Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4210156423"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101459082","display_name":"Xiaoming Tao","orcid":"https://orcid.org/0000-0002-8763-9338"},"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"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Tao","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China","Department of Electronic Engineering, Tsinghua University, Beijing, China","Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China"],"raw_orcid":null,"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"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025137837"],"corresponding_institution_ids":["https://openalex.org/I4210156423","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.1547,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55380288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"534","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7847984433174133},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6671462059020996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6412769556045532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5737553834915161},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5678905248641968},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5253685712814331},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5008485317230225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.486652672290802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3296768069267273},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14115774631500244},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07116782665252686}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7847984433174133},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6671462059020996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412769556045532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5737553834915161},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5678905248641968},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5253685712814331},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5008485317230225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.486652672290802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3296768069267273},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14115774631500244},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07116782665252686}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp58612.2023.10404439","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp58612.2023.10404439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"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":33,"referenced_works":["https://openalex.org/W2099323129","https://openalex.org/W2117539524","https://openalex.org/W2125389028","https://openalex.org/W2126810579","https://openalex.org/W2133693888","https://openalex.org/W2150590430","https://openalex.org/W2549100242","https://openalex.org/W2551178936","https://openalex.org/W2557301950","https://openalex.org/W2559463885","https://openalex.org/W2613375858","https://openalex.org/W2625929003","https://openalex.org/W2759483166","https://openalex.org/W2766524960","https://openalex.org/W2788529765","https://openalex.org/W2889245000","https://openalex.org/W2897839226","https://openalex.org/W2962905870","https://openalex.org/W2963855931","https://openalex.org/W2963977071","https://openalex.org/W2987842562","https://openalex.org/W3028543194","https://openalex.org/W3102455230","https://openalex.org/W3194723551","https://openalex.org/W4210321205","https://openalex.org/W4294555043","https://openalex.org/W4320013936","https://openalex.org/W4372037346","https://openalex.org/W4385245566","https://openalex.org/W6678815747","https://openalex.org/W6679901780","https://openalex.org/W6685626582","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Exploring":[0],"the":[1,6,19,26,29,35,72,147,152,156,168],"visual":[2,78,114],"coding":[3],"mechanism":[4],"of":[5,28,31,37],"human":[7],"brain":[8,38],"has":[9,43],"been":[10],"an":[11],"important":[12],"topic":[13],"in":[14,167],"brain-computer":[15],"interface":[16],"technology,":[17],"holding":[18],"potential":[20],"to":[21,95,113],"provide":[22],"new":[23],"insights":[24],"into":[25],"research":[27],"Internet":[30],"Things":[32],"(IoT).":[33],"Especially,":[34],"use":[36],"signals":[39,74,100],"for":[40,125,135],"image":[41,54,126,136,169],"generation":[42,55,137,170],"attracted":[44],"people\u2019s":[45],"attention.":[46],"In":[47],"this":[48,106],"paper,":[49],"we":[50,69,108],"propose":[51],"a":[52,85],"multi-class":[53],"method":[56,149],"based":[57,150],"on":[58,105,151],"electroencephalography":[59],"(EEG)":[60],"features":[61,111,162],"with":[62,123],"conditional":[63],"generative":[64],"adversarial":[65],"networks":[66],"(CGAN).":[67],"Specifically,":[68],"synchronously":[70],"collect":[71],"EEG":[73,81,91,110,131,158],"when":[75],"subjects":[76],"watch":[77],"stimuli":[79,115],"through":[80],"equipment":[82],"and":[83,101,120,138,160],"construct":[84],"multi-category":[86],"image-EEG":[87],"dataset.":[88],"The":[89,142],"obtained":[90],"dataset":[92],"undergoes":[93],"preprocessing":[94],"eliminate":[96],"interference":[97],"from":[98],"electrooculographic":[99],"electromyographic":[102],"signals.":[103],"Based":[104],"dataset,":[107],"extract":[109],"related":[112],"by":[116],"deep":[117],"learning":[118],"algorithms":[119],"integrate":[121],"them":[122],"CGAN":[124,153],"generation.":[127],"We":[128],"employ":[129],"different":[130],"feature":[132],"extraction":[133],"methods":[134],"conduct":[139],"comparative":[140],"experiments.":[141],"experimental":[143],"results":[144],"demonstrate":[145],"that":[146],"proposed":[148],"model":[154],"utilizing":[155],"joint":[157],"spatio-temporal":[159],"temporal-frequency":[161],"can":[163],"achieve":[164],"better":[165],"performance":[166],"task.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}