{"id":"https://openalex.org/W4381744445","doi":"https://doi.org/10.1109/cscwd57460.2023.10152813","title":"TransRF: Towards a Generalized and Cross-Domain RFID Sensing System Using Few-Shot Learning","display_name":"TransRF: Towards a Generalized and Cross-Domain RFID Sensing System Using Few-Shot Learning","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744445","doi":"https://doi.org/10.1109/cscwd57460.2023.10152813"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152813","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5010288880","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-6686-4974"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637573","display_name":"Weiqing Huang","orcid":"https://orcid.org/0000-0002-9155-4177"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Huang","raw_affiliation_strings":["Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050849944","display_name":"Siye Wang","orcid":"https://orcid.org/0000-0001-7645-1949"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siye Wang","raw_affiliation_strings":["Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010288880"],"corresponding_institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05591071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"571","last_page":"576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8258116245269775},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6535277962684631},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6182570457458496},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5841548442840576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5563868880271912},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5431768298149109},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49563467502593994},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4605599343776703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44676271080970764},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4162244200706482},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34023424983024597},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19901612401008606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258116245269775},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6535277962684631},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6182570457458496},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5841548442840576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5563868880271912},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5431768298149109},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49563467502593994},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4605599343776703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44676271080970764},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4162244200706482},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34023424983024597},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19901612401008606},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152813","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W2789563032","https://openalex.org/W2896542121","https://openalex.org/W2984081625","https://openalex.org/W3009727746","https://openalex.org/W3091679710","https://openalex.org/W3094638159","https://openalex.org/W3193314808","https://openalex.org/W3196221233","https://openalex.org/W3203871918","https://openalex.org/W3213263259","https://openalex.org/W3214233127","https://openalex.org/W3216237645","https://openalex.org/W4312393046","https://openalex.org/W4312674952","https://openalex.org/W4385245566","https://openalex.org/W6639480849","https://openalex.org/W7021272875","https://openalex.org/W7054414085"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W2997567050","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W4394775207","https://openalex.org/W2400428875"],"abstract_inverted_index":{"RFID-based":[0],"human":[1],"activity":[2],"recognition":[3],"has":[4],"attracted":[5],"extensive":[6],"attention":[7],"due":[8],"to":[9,46,87,123,132],"its":[10],"low":[11],"cost,":[12],"non-invasiveness,":[13],"and":[14,29,59,82,105,110],"privacy":[15],"protection.":[16],"However,":[17],"existing":[18],"methods":[19,39],"may":[20],"limit":[21],"cross-domain":[22],"sensing":[23,69],"as":[24,42],"the":[25,34,97,119,124,134,143,162],"mapping":[26],"between":[27],"activities":[28,52],"signals":[30],"is":[31,121],"destroyed":[32],"when":[33,118],"environment":[35],"changes.":[36],"Meanwhile,":[37],"these":[38],"lack":[40],"generalization":[41],"their":[43],"systems":[44],"need":[45],"be":[47],"fully":[48],"retrained":[49],"whenever":[50],"new":[51],"are":[53,130],"added,":[54],"which":[55],"incurs":[56],"data":[57],"collection":[58],"retraining":[60],"overheads.":[61],"This":[62],"paper":[63],"proposes":[64],"a":[65,74,78,83,127,158],"few-shot":[66],"learning-based":[67],"RFID":[68,145],"system,":[70],"TransRF,":[71],"composed":[72],"of":[73,102,153,176],"signal":[75],"processing":[76],"module,":[77,81],"feature":[79,98],"extraction":[80,99],"classification":[84,135],"module.":[85],"Specifically,":[86],"recognize":[88],"novel":[89],"classes":[90],"in":[91,155],"unknown":[92,156],"domains":[93],"with":[94,113,172],"limited":[95],"samples,":[96],"module":[100,136],"consists":[101],"multi-head":[103],"self-attention":[104],"multi-scale":[106],"hybrid":[107],"dilated":[108],"convolution":[109],"pre-train":[111],"it":[112],"source":[114],"domain":[115,138],"data.":[116,177],"Therefore,":[117],"system":[120],"applied":[122],"target":[125],"domain,":[126],"few":[128],"samples":[129],"required":[131],"fine-tune":[133],"for":[137],"adaptation.":[139],"Experimental":[140],"results":[141],"on":[142],"genuine":[144],"dataset":[146,168],"show":[147],"that":[148],"TransRF":[149],"achieves":[150],"an":[151],"accuracy":[152],"98.0%":[154],"domains,":[157],"31.4%":[159],"improvement":[160],"over":[161],"state-of-the-art.":[163],"Additionally,":[164],"we":[165],"published":[166],"our":[167],"containing":[169],"three":[170],"scenarios":[171],"1.728":[173],"million":[174],"pieces":[175]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}