{"id":"https://openalex.org/W4409640993","doi":"https://doi.org/10.1109/mwc.003.2400521","title":"Sensing With Less Effort: Knowledge Transfer for Wireless Sensing by Unifying Feature Embeddings","display_name":"Sensing With Less Effort: Knowledge Transfer for Wireless Sensing by Unifying Feature Embeddings","publication_year":2025,"publication_date":"2025-04-21","ids":{"openalex":"https://openalex.org/W4409640993","doi":"https://doi.org/10.1109/mwc.003.2400521"},"language":"en","primary_location":{"id":"doi:10.1109/mwc.003.2400521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.003.2400521","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2031/34153eeb-5dff-4e79-89a4-0a84b0e01e42","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bo Chen","orcid":"https://orcid.org/0009-0004-7677-0818"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0009-0004-7677-0818","affiliations":[{"raw_affiliation_string":"Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Wang","orcid":"https://orcid.org/0000-0003-1172-1551"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0000-0003-1172-1551","affiliations":[{"raw_affiliation_string":"Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086178628","display_name":"Xiaokai Liu","orcid":"https://orcid.org/0000-0001-8509-5624"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokai Liu","raw_affiliation_strings":["Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0000-0001-8509-5624","affiliations":[{"raw_affiliation_string":"Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qinghua Gao","orcid":"https://orcid.org/0000-0002-1591-189X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Gao","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-1591-189X","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047722991","display_name":"Miao Pan","orcid":"https://orcid.org/0000-0003-2138-4413"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao Pan","raw_affiliation_strings":["University of Houston, USA"],"raw_orcid":"https://orcid.org/0000-0003-2138-4413","affiliations":[{"raw_affiliation_string":"University of Houston, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016290340","display_name":"Yuguang Fang","orcid":"https://orcid.org/0000-0002-1079-3871"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuguang Fang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-1079-3871","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05628687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"6","first_page":"95","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9768000245094299,"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":0.9768000245094299,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9386000037193298,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8374925851821899},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.6054259538650513},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5521494150161743},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5494205951690674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3604281544685364},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25886213779449463},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.18152570724487305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8374925851821899},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.6054259538650513},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5521494150161743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5494205951690674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3604281544685364},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25886213779449463},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.18152570724487305},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mwc.003.2400521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.003.2400521","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/34153eeb-5dff-4e79-89a4-0a84b0e01e42","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/34153eeb-5dff-4e79-89a4-0a84b0e01e42","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, B, Wang, J, Liu, X, Gao, Q, Pan, M & Fang, Y 2025, 'Sensing with Less Effort : Knowledge Transfer for Wireless Sensing by Unifying Feature Embeddings', IEEE Wireless Communications. https://doi.org/10.1109/MWC.003.2400521","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/34153eeb-5dff-4e79-89a4-0a84b0e01e42","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/34153eeb-5dff-4e79-89a4-0a84b0e01e42","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, B, Wang, J, Liu, X, Gao, Q, Pan, M & Fang, Y 2025, 'Sensing with Less Effort : Knowledge Transfer for Wireless Sensing by Unifying Feature Embeddings', IEEE Wireless Communications. https://doi.org/10.1109/MWC.003.2400521","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2530693809","display_name":null,"funder_award_id":"XLYC2402001","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"},{"id":"https://openalex.org/G2615594448","display_name":null,"funder_award_id":"62471080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3154331942","display_name":null,"funder_award_id":"2022JJ11CG002","funder_id":"https://openalex.org/F4320336584","funder_display_name":"Dalian Science and Technology Innovation Fund"},{"id":"https://openalex.org/G5822102252","display_name":null,"funder_award_id":"62271098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null},{"id":"https://openalex.org/F4320336584","display_name":"Dalian Science and Technology Innovation Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2946020594","https://openalex.org/W3030669241","https://openalex.org/W3134998638","https://openalex.org/W4285245748","https://openalex.org/W4290994174","https://openalex.org/W4306179773","https://openalex.org/W4315630215","https://openalex.org/W4380032296","https://openalex.org/W4384787268","https://openalex.org/W4385248623","https://openalex.org/W4387789464","https://openalex.org/W4390120218","https://openalex.org/W4399121769"],"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":{"Wireless":[0],"sensing":[1,12,57,84,95,112,119,170,197],"is":[2,59],"an":[3],"enabling":[4],"technology":[5],"that":[6],"equips":[7],"wireless":[8,23,43,47,56,83,94,111,118,151,169,178],"devices":[9],"with":[10,97,121],"powerful":[11],"capabilities":[13],"by":[14,61,132],"analyzing":[15],"the":[16,52,62,80,104,116,148,161,164,168,175,184],"effect":[17],"of":[18,55,65,79,82,106,142,150,177],"object":[19],"targets":[20],"on":[21],"surrounding":[22],"signals.":[24],"With":[25],"excellent":[26],"feature":[27,134,158],"extraction":[28],"and":[29,67,85,114,152,172,181,207],"analysis":[30],"capabilities,":[31],"deep":[32,108],"neural":[33,109],"networks":[34],"have":[35],"long":[36],"become":[37],"a":[38,76,87,107,139,156,199],"promising":[39],"tool":[40],"for":[41,92],"implementing":[42],"sensing.":[44],"However,":[45],"because":[46],"signals":[48],"are":[49],"not":[50],"human-interpretable,":[51],"practical":[53],"deployment":[54],"systems":[58],"hindered":[60],"labor-intensive":[63],"effort":[64,176],"collecting":[66],"labeling":[68,182],"training":[69,185],"samples.":[70],"This":[71],"article":[72],"attempts":[73],"to":[74,146,167],"provide":[75],"comprehensive":[77],"view":[78],"field":[81],"proposes":[86],"novel":[88],"knowledge":[89,129,162],"transfer":[90,130,160],"method":[91,131,192],"accomplishing":[93],"tasks":[96],"less":[98,122],"effort.":[99,123],"Specifically,":[100],"we":[101,125,203],"first":[102],"introduce":[103],"framework":[105],"network-based":[110],"system":[113],"review":[115],"classical":[117],"methods":[120],"Then,":[124],"highlight":[126],"our":[127,190],"proposed":[128,191],"unifying":[133],"embeddings,":[135],"which":[136],"will":[137],"utilize":[138],"small":[140],"number":[141],"synchronously":[143],"collected":[144],"videos":[145],"realize":[147],"alignment":[149],"video":[153,165],"features":[154],"in":[155,183],"unified":[157],"space,":[159],"from":[163],"dataset":[166],"network,":[171],"thus":[173],"reduce":[174],"sample":[179],"collection":[180],"phase.":[186],"We":[187],"also":[188],"evaluate":[189],"using":[193],"in-home":[194],"daily":[195],"status":[196],"as":[198],"case":[200],"study.":[201],"Finally,":[202],"discuss":[204],"existing":[205],"challenges":[206],"future":[208],"research":[209],"directions.":[210]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}