{"id":"https://openalex.org/W4399908398","doi":"https://doi.org/10.1109/icnc59896.2024.10555943","title":"Self-Supervised Learning for User Localization","display_name":"Self-Supervised Learning for User Localization","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4399908398","doi":"https://doi.org/10.1109/icnc59896.2024.10555943"},"language":"en","primary_location":{"id":"doi:10.1109/icnc59896.2024.10555943","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc59896.2024.10555943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computing, Networking and Communications (ICNC)","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/A5033709599","display_name":"Ankan Dash","orcid":"https://orcid.org/0000-0002-1151-3632"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankan Dash","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Computer Science,Newark,United States","Department of Computer Science, New Jersey Institute of Technology, Newark, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Computer Science,Newark,United States","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, United States","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061857419","display_name":"Jingyi Gu","orcid":"https://orcid.org/0000-0001-8010-8326"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyi Gu","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Computer Science,Newark,United States","Department of Computer Science, New Jersey Institute of Technology, Newark, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Computer Science,Newark,United States","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, United States","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744283","display_name":"Guiling Wang","orcid":"https://orcid.org/0000-0003-1880-4763"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guiling Wang","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Computer Science,Newark,United States","Department of Computer Science, New Jersey Institute of Technology, Newark, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Computer Science,Newark,United States","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, United States","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008864376","display_name":"Nirwan Ansari","orcid":"https://orcid.org/0000-0001-8541-3565"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirwan Ansari","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,United States","Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,United States","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, United States","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3712,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58230384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"886","last_page":"890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9977999925613403,"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":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7691142559051514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49709728360176086},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41474607586860657},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41233372688293457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36663559079170227},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14543616771697998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7691142559051514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49709728360176086},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41474607586860657},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41233372688293457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36663559079170227},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14543616771697998}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc59896.2024.10555943","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc59896.2024.10555943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2240192984","https://openalex.org/W2796919480","https://openalex.org/W2808827371","https://openalex.org/W2922174720","https://openalex.org/W2945245599","https://openalex.org/W2985031189","https://openalex.org/W2990714382","https://openalex.org/W3038788938","https://openalex.org/W3128817902","https://openalex.org/W3171662245","https://openalex.org/W3215829489","https://openalex.org/W4205475721","https://openalex.org/W4367000428","https://openalex.org/W4385958045","https://openalex.org/W6767674741"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Machine":[0],"learning":[1,31,71],"techniques":[2,32],"have":[3],"shown":[4],"remarkable":[5],"accuracy":[6],"in":[7,47],"localization":[8,74,184],"tasks,":[9],"but":[10,149],"their":[11],"dependency":[12],"on":[13,62,76,137],"vast":[14,164],"amounts":[15],"of":[16,69,112,146,156],"labeled":[17,37,121,151],"data,":[18,38,122],"particularly":[19],"Channel":[20],"State":[21],"Information":[22],"(CSI)":[23],"and":[24,45,91,123,174],"corresponding":[25],"coordinates,":[26],"remains":[27,42],"a":[28,39,55,143,163],"bottleneck.":[29],"Self-supervised":[30],"alleviate":[33],"the":[34,67,109,113,138,154,160],"need":[35],"for":[36,72,181],"potential":[40],"that":[41,58],"largely":[43],"untapped":[44],"underexplored":[46],"existing":[48],"research.":[49],"Addressing":[50],"this":[51],"gap,":[52],"we":[53,107],"propose":[54],"pioneering":[56],"approach":[57,176],"leverages":[59],"self-supervised":[60,103],"pretraining":[61,81],"unlabeled":[63,100,147],"data":[64,101,148],"to":[65,96,116,130],"boost":[66],"performance":[68],"supervised":[70],"user":[73,133],"based":[75],"CSI.":[77],"We":[78],"introduce":[79],"two":[80],"Auto":[82],"Encoder":[83],"(AE)":[84],"models":[85,115],"employing":[86],"Multi":[87],"Layer":[88],"Perceptrons":[89],"(MLPs)":[90],"Convolutional":[92],"Neural":[93],"Networks":[94],"(CNNs)":[95],"glean":[97],"representations":[98],"from":[99,120],"via":[102],"learning.":[104],"Following":[105],"this,":[106],"utilize":[108],"encoder":[110],"portion":[111],"AE":[114],"extract":[117],"relevant":[118],"features":[119,142],"finetune":[124],"an":[125],"MLP-based":[126],"Position":[127],"Estimation":[128],"Model":[129],"accurately":[131],"deduce":[132],"locations.":[134],"Our":[135],"experimentation":[136],"CTW-2020":[139],"dataset,":[140],"which":[141],"substantial":[144],"volume":[145],"limited":[150],"samples,":[152],"demonstrates":[153,177],"viability":[155],"our":[157,175],"approach.":[158],"Notably,":[159],"dataset":[161],"covers":[162],"area":[165],"spanning":[166],"over":[167],"646":[168],"\u00d7":[169,171],"943":[170],"41":[172],"meters,":[173],"promising":[178],"results":[179],"even":[180],"such":[182],"expansive":[183],"tasks.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
