{"id":"https://openalex.org/W4417281928","doi":"https://doi.org/10.1109/pimrc62392.2025.11274597","title":"Generative Wireless Sensing with Multi-View Channel Feature Aggregation","display_name":"Generative Wireless Sensing with Multi-View Channel Feature Aggregation","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417281928","doi":"https://doi.org/10.1109/pimrc62392.2025.11274597"},"language":null,"primary_location":{"id":"doi:10.1109/pimrc62392.2025.11274597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5025216103","display_name":"Ziqing Xing","orcid":"https://orcid.org/0009-0000-6174-1249"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqing Xing","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751305","display_name":"Zhaoyang Zhang","orcid":"https://orcid.org/0000-0002-0684-9975"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Zhang","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069404551","display_name":"Zirui Chen","orcid":"https://orcid.org/0009-0009-3748-2211"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Chen","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066878475","display_name":"Zhaohui Yang","orcid":"https://orcid.org/0000-0002-4475-589X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Yang","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025216103"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39307924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.49390000104904175,"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":0.49390000104904175,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.08169999718666077,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.07519999891519547,"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/feature","display_name":"Feature (linguistics)","score":0.684499979019165},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.651199996471405},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.607699990272522},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5178999900817871},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.48890000581741333},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4787999987602234},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47870001196861267},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44850000739097595},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4480000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336000204086304},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.684499979019165},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.651199996471405},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.607699990272522},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5178999900817871},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.48890000581741333},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4787999987602234},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44850000739097595},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4480000138282776},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3840999901294708},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.2624000012874603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.257099986076355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11274597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2800441593","https://openalex.org/W2981096252","https://openalex.org/W3109585842","https://openalex.org/W3180196270","https://openalex.org/W3194620979","https://openalex.org/W4283833094","https://openalex.org/W4321488155","https://openalex.org/W4387448603","https://openalex.org/W4392158494","https://openalex.org/W4392745233","https://openalex.org/W4399198065","https://openalex.org/W4404848251","https://openalex.org/W4405599448"],"related_works":[],"abstract_inverted_index":{"In":[0],"integrated":[1],"sensing":[2,42],"and":[3,125,129,143],"communication":[4],"(ISAC)":[5],"systems,":[6],"effectively":[7],"processing":[8],"multi-view":[9,29,80,134],"data":[10],"from":[11],"multiple":[12],"transmitter-receiver":[13,66],"pairs":[14],"is":[15,77],"critical":[16],"for":[17,33,79,104],"high-quality":[18,133],"environment":[19,107],"reconstruction.":[20,108],"This":[21],"paper":[22],"proposes":[23],"a":[24,57,73,96],"generative":[25],"learning":[26],"method":[27],"with":[28],"channel":[30,59],"feature":[31,81,103],"aggregation":[32,75],"solving":[34],"multi-user":[35],"equipment":[36],"(UE)":[37],"multi-base":[38],"station":[39],"(BS)":[40],"collaborative":[41,135],"problem.":[43],"Specifically,":[44],"based":[45],"on":[46],"the":[47,85,90,101,105,112,119,123,141,147],"revealed":[48],"similarities":[49],"between":[50],"different":[51],"BS-UE":[52],"transmission":[53],"links,":[54],"we":[55,94],"design":[56],"flexible":[58],"state":[60],"information":[61],"encoder":[62],"shared":[63],"among":[64],"various":[65],"views":[67],"to":[68,99,115,118],"learn":[69],"scatterer":[70,91],"features.":[71],"Then,":[72],"concise":[74],"mechanism":[76],"introduced":[78],"fusion.":[82],"Subsequently,":[83],"considering":[84],"intrinsic":[86],"probabilistic":[87],"properties":[88,145],"of":[89,127,146],"point":[92],"cloud,":[93],"employ":[95],"diffusion":[97],"model":[98],"decode":[100],"aggregated":[102],"final":[106],"These":[109],"designs":[110],"enables":[111],"proposed":[113,148],"scheme":[114],"structurally":[116],"adapt":[117],"dynamic":[120],"changes":[121],"in":[122],"positions":[124],"numbers":[126],"BSs":[128],"UEs,":[130],"ultimately":[131],"achieving":[132],"sensing.":[136],"Extensive":[137],"numerical":[138],"experiments":[139],"validate":[140],"effectiveness":[142],"desirable":[144],"method.":[149]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-12T00:00:00"}
