{"id":"https://openalex.org/W4392158863","doi":"https://doi.org/10.1109/globecom54140.2023.10437382","title":"Classical to Quantum Transfer Learning Framework for Wireless Sensing Under Domain Shift","display_name":"Classical to Quantum Transfer Learning Framework for Wireless Sensing Under Domain Shift","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4392158863","doi":"https://doi.org/10.1109/globecom54140.2023.10437382"},"language":"en","primary_location":{"id":"doi:10.1109/globecom54140.2023.10437382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","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/A5111065793","display_name":"Yingxin Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxin Shan","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University,Guangzhou,China","Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University,Guangzhou,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103144104","display_name":"Peng Liao","orcid":"https://orcid.org/0009-0006-3025-7626"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liao","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University,Guangzhou,China","Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University,Guangzhou,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043788836","display_name":"Xuyu Wang","orcid":"https://orcid.org/0000-0002-4759-8674"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuyu Wang","raw_affiliation_strings":["Knight Foundation School of Computing &#x0026; Information Sciences, Florida International University,Miami,FL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knight Foundation School of Computing &#x0026; Information Sciences, Florida International University,Miami,FL,USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102970747","display_name":"Lingling An","orcid":"https://orcid.org/0000-0002-0103-489X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling An","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University,Xi&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080122431","display_name":"Shiwen Mao","orcid":"https://orcid.org/0000-0002-7052-0007"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwen Mao","raw_affiliation_strings":["Auburn University,Department of Electrical and Computer Engineering,Auburn,AL,USA","Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Department of Electrical and Computer Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72886741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3167","last_page":"3172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9969000220298767,"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/T12676","display_name":"Machine Learning and ELM","score":0.9969000220298767,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9498999714851379,"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":0.5974979996681213},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5507678389549255},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5259730219841003},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.508250892162323},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2606075406074524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2380741536617279},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18747863173484802},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.12824201583862305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5974979996681213},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5507678389549255},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5259730219841003},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.508250892162323},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2606075406074524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2380741536617279},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18747863173484802},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.12824201583862305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom54140.2023.10437382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W189742998","https://openalex.org/W2194775991","https://openalex.org/W2395579298","https://openalex.org/W2559394418","https://openalex.org/W2593768305","https://openalex.org/W2781738013","https://openalex.org/W2801908214","https://openalex.org/W2890485850","https://openalex.org/W2950821050","https://openalex.org/W2968303571","https://openalex.org/W2995742898","https://openalex.org/W2998115938","https://openalex.org/W3018508273","https://openalex.org/W3100931082","https://openalex.org/W3105380624","https://openalex.org/W3205418336","https://openalex.org/W3212616108","https://openalex.org/W4205190037","https://openalex.org/W4280520421","https://openalex.org/W4281253848","https://openalex.org/W4294295622","https://openalex.org/W4312189222","https://openalex.org/W4315630215","https://openalex.org/W4385665977","https://openalex.org/W4386366369","https://openalex.org/W6607672814","https://openalex.org/W6838606152","https://openalex.org/W6842758421"],"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/W4396696052"],"abstract_inverted_index":{"To":[0],"implement":[1],"ubiquitous":[2],"wireless":[3,86,107,146,168],"sensing,":[4],"the":[5,81,90,99,111,134,138,152,155,163],"domain":[6,35,82,164],"shift":[7,83,101,165],"problem":[8,84,102,166],"(e.g.,":[9],"different":[10,116],"environments,":[11],"users,":[12],"devices)":[13],"for":[14,62,161],"machine":[15,39,47],"learning":[16,33,57],"based":[17],"approaches":[18],"should":[19],"be":[20,28],"addressed.":[21],"Some":[22],"existing":[23],"methods":[24],"are":[25],"proven":[26],"to":[27,75,79,124],"effective,":[29],"such":[30],"as":[31],"transfer":[32,56],"and":[34,46,128,157],"adaptation.":[36],"Meanwhile,":[37],"quantum":[38,44,55,76],"learning,":[40,48],"a":[41,73,119],"combination":[42],"of":[43,93,106,115,154],"computing":[45],"has":[49,59],"attracted":[50],"much":[51],"attention.":[52],"More":[53],"importantly,":[54],"(QTL)":[58],"been":[60],"successful":[61],"certain":[63],"applications,":[64],"e.g.,":[65],"image":[66],"classification.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,96],"explore":[72],"classical":[74],"(C2Q)":[77],"framework":[78,121,136,156],"address":[80],"in":[85,103,167],"sensing":[87,147],"by":[88,109],"exploiting":[89],"great":[91,159],"potential":[92,160],"QTL.":[94],"Specifically,":[95],"first":[97],"analyze":[98],"data":[100],"various":[104],"types":[105],"datasets":[108],"calculating":[110],"Kullback-Leibler":[112],"(KL)":[113],"divergence":[114],"domains.":[117],"Then,":[118],"QTL":[120],"is":[122],"designed":[123],"introduce":[125],"importance":[126],"weighting":[127],"adversarial":[129],"strategies.":[130],"We":[131],"finally":[132],"evaluate":[133],"proposed":[135],"using":[137],"representative":[139],"human":[140],"activity":[141],"recognition":[142],"task":[143],"on":[144],"three":[145],"datasets.":[148],"Experimental":[149],"results":[150],"demonstrate":[151],"feasibility":[153],"its":[158],"solving":[162],"sensing.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
