{"id":"https://openalex.org/W3162739830","doi":"https://doi.org/10.1109/tcsii.2021.3081997","title":"Designing Multi-Task Convolutional Variational Autoencoder for Radio Tomographic Imaging","display_name":"Designing Multi-Task Convolutional Variational Autoencoder for Radio Tomographic Imaging","publication_year":2021,"publication_date":"2021-05-19","ids":{"openalex":"https://openalex.org/W3162739830","doi":"https://doi.org/10.1109/tcsii.2021.3081997","mag":"3162739830"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2021.3081997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3081997","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5015375866","display_name":"Hongzhuang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Hongzhuang Wu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6024-0450","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001706958","display_name":"Xiaoli Ma","orcid":"https://orcid.org/0000-0002-3076-2589"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoli Ma","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3076-2589","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063326015","display_name":"Songyong Liu","orcid":"https://orcid.org/0000-0002-2801-7969"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyong Liu","raw_affiliation_strings":["School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2801-7969","affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015375866"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":1.1894,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.75971214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"69","issue":"1","first_page":"219","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987000226974487,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/autoencoder","display_name":"Autoencoder","score":0.8807421922683716},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.7674776911735535},{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.7309670448303223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6978593468666077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6112031936645508},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5942346453666687},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5577902793884277},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5492326617240906},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5353893041610718},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4196035861968994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41834694147109985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4071904420852661},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3438323736190796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3409682810306549},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3390696048736572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15126347541809082},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08347952365875244}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8807421922683716},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.7674776911735535},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.7309670448303223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978593468666077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6112031936645508},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5942346453666687},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5577902793884277},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5492326617240906},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5353893041610718},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4196035861968994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41834694147109985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4071904420852661},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3438323736190796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3409682810306549},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3390696048736572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15126347541809082},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08347952365875244},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2021.3081997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3081997","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6530425245","display_name":null,"funder_award_id":"201806420061","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W1988642011","https://openalex.org/W2151034334","https://openalex.org/W2467604901","https://openalex.org/W2471110303","https://openalex.org/W2558891025","https://openalex.org/W2624871570","https://openalex.org/W2747812272","https://openalex.org/W2792346226","https://openalex.org/W2941812574","https://openalex.org/W2979418163","https://openalex.org/W3020857343","https://openalex.org/W3035785037","https://openalex.org/W3107335479"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2982317495","https://openalex.org/W2088308468","https://openalex.org/W170151271","https://openalex.org/W2947117330","https://openalex.org/W2295596929","https://openalex.org/W2137532034","https://openalex.org/W1574221054","https://openalex.org/W2004988775","https://openalex.org/W1997330082"],"abstract_inverted_index":{"Radio":[0],"tomographic":[1,59],"imaging":[2],"(RTI)":[3],"emerges":[4],"to":[5,42,51,82],"model":[6,39,47],"the":[7,11,21,53,57,62,65,70,84,87,92],"environment":[8],"and":[9,33,68],"detect":[10],"passive":[12],"targets":[13],"by":[14],"a":[15,34],"wireless":[16,66],"network.":[17],"In":[18],"this":[19],"work,":[20],"received":[22],"signal":[23],"strength":[24],"(RSS)":[25],"measurements":[26],"are":[27],"collected":[28],"from":[29],"an":[30],"uncalibrated":[31],"network,":[32,67],"multi-task":[35,76],"convolutional":[36],"variational":[37,77],"autoencoder":[38],"is":[40,48,80],"proposed":[41],"realize":[43],"RTI.":[44],"The":[45,75],"presented":[46],"trained":[49],"end-to-end":[50],"denoise":[52],"RSS":[54],"measurements,":[55],"reconstruct":[56],"static":[58],"images,":[60],"estimate":[61],"parameters":[63],"of":[64,86,94],"classify":[69],"measurement":[71],"noise":[72],"level,":[73],"simultaneously.":[74],"learning":[78],"strategy":[79],"able":[81],"improve":[83],"generalization":[85],"model.":[88],"Numerical":[89],"experiments":[90],"demonstrate":[91],"efficacy":[93],"our":[95],"RTI":[96],"method.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
