{"id":"https://openalex.org/W4324125606","doi":"https://doi.org/10.1109/jiot.2023.3256324","title":"Mean Teacher-Based Cross-Domain Activity Recognition Using WiFi Signals","display_name":"Mean Teacher-Based Cross-Domain Activity Recognition Using WiFi Signals","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4324125606","doi":"https://doi.org/10.1109/jiot.2023.3256324"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3256324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3256324","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5108053370","display_name":"Chunjing Xiao","orcid":"https://orcid.org/0000-0001-8339-1278"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjing Xiao","raw_affiliation_strings":["School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0001-8339-1278","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111321760","display_name":"Lei Yue","orcid":"https://orcid.org/0009-0005-7788-1920"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Lei","raw_affiliation_strings":["School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373915","display_name":"Chun Liu","orcid":"https://orcid.org/0000-0002-9055-8221"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Liu","raw_affiliation_strings":["School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0002-9055-8221","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600528","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-3472-1717"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3472-1717","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2776,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79133183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"14","first_page":"12787","last_page":"12797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9988999962806702,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9840999841690063,"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":0.8527299761772156},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6795586347579956},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6791782379150391},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6468609571456909},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5489585399627686},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5424315929412842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5141428112983704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44871053099632263},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4451267123222351},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4161277711391449},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.414310485124588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4103087782859802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36538636684417725},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1517111361026764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8527299761772156},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6795586347579956},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6791782379150391},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6468609571456909},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5489585399627686},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5424315929412842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5141428112983704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44871053099632263},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4451267123222351},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4161277711391449},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.414310485124588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4103087782859802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36538636684417725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1517111361026764},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3256324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3256324","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G5983462902","display_name":"\u56fe\u5b66\u4e60\u4e2d\u7684\u53ef\u89e3\u91ca\u6027\u7814\u7a76","funder_award_id":"62072077","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2106401878","https://openalex.org/W2283626220","https://openalex.org/W2594230123","https://openalex.org/W2783857023","https://openalex.org/W2794843057","https://openalex.org/W2897132279","https://openalex.org/W2897189857","https://openalex.org/W2899430105","https://openalex.org/W2919295266","https://openalex.org/W2948210185","https://openalex.org/W2951929328","https://openalex.org/W2952065976","https://openalex.org/W2953070460","https://openalex.org/W2962770929","https://openalex.org/W2962808524","https://openalex.org/W2963449430","https://openalex.org/W2963558289","https://openalex.org/W2963584589","https://openalex.org/W2964159205","https://openalex.org/W2964192401","https://openalex.org/W2969645632","https://openalex.org/W2974216175","https://openalex.org/W2979548969","https://openalex.org/W2998522188","https://openalex.org/W2999514914","https://openalex.org/W3001316388","https://openalex.org/W3006408325","https://openalex.org/W3025388795","https://openalex.org/W3031001494","https://openalex.org/W3031570917","https://openalex.org/W3032083627","https://openalex.org/W3034627419","https://openalex.org/W3034720584","https://openalex.org/W3035574324","https://openalex.org/W3044326989","https://openalex.org/W3045907623","https://openalex.org/W3094166660","https://openalex.org/W3094515045","https://openalex.org/W3101754294","https://openalex.org/W3102431435","https://openalex.org/W3106662783","https://openalex.org/W3109228974","https://openalex.org/W3111099392","https://openalex.org/W3118382806","https://openalex.org/W3130411346","https://openalex.org/W3145456595","https://openalex.org/W3147791497","https://openalex.org/W3157334780","https://openalex.org/W3160505424","https://openalex.org/W3162459705","https://openalex.org/W3163909098","https://openalex.org/W3165113620","https://openalex.org/W3166409449","https://openalex.org/W3176748778","https://openalex.org/W3189015616","https://openalex.org/W3193715268","https://openalex.org/W3193729710","https://openalex.org/W3199098217","https://openalex.org/W3200840856","https://openalex.org/W4291653271","https://openalex.org/W4294541410","https://openalex.org/W6631190155","https://openalex.org/W6733814495","https://openalex.org/W6745986955","https://openalex.org/W6746282794","https://openalex.org/W6751136067","https://openalex.org/W6763342845","https://openalex.org/W6770939562","https://openalex.org/W6772905751","https://openalex.org/W6772938244","https://openalex.org/W6776296988","https://openalex.org/W6779093361","https://openalex.org/W6781372415"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W4213275102","https://openalex.org/W2151138761","https://openalex.org/W3021676282","https://openalex.org/W3008176773","https://openalex.org/W2237505347"],"abstract_inverted_index":{"WiFi":[0,103],"channel":[1],"state":[2],"information":[3],"(CSI)-based":[4],"activity":[5,99],"recognition":[6,22,100,185],"has":[7],"initiated":[8],"a":[9,62,94,120,157],"great":[10],"many":[11],"studies":[12],"because":[13],"of":[14,32,86,167],"wide":[15],"availability":[16],"and":[17,56,115,136,172],"privacy":[18],"protection.":[19],"However,":[20],"general":[21],"approaches":[23],"still":[24],"struggle":[25],"to":[26,42,70,109,163,183],"generalize":[27],"beyond":[28],"the":[29,111,126,130,152,165,168,179,201],"source":[30,114],"domain":[31],"training":[33],"data,":[34],"i.e.,":[35],"well-trained":[36],"models":[37],"might":[38],"not":[39],"be":[40,71],"suitable":[41],"target":[43,65,76,116,202],"data":[44,57,128,199],"with":[45,83,171],"unseen":[46],"subjects":[47],"or":[48,78],"environments.":[49],"Existing":[50],"solutions,":[51],"such":[52],"as":[53],"few-shot":[54],"learning-based":[55],"augmentation-based":[58],"approaches,":[59],"either":[60],"require":[61],"few":[63],"labeled":[64],"samples":[66,82,132,170,182],"which":[67,176],"is":[68],"difficult":[69],"collected,":[72],"especially,":[73],"for":[74],"old":[75],"users,":[77],"inappropriately":[79],"treat":[80],"augmented":[81],"different":[84],"amounts":[85],"noise.":[87],"To":[88,150],"overcome":[89],"these":[90],"limitations,":[91],"we":[92,118,155],"propose":[93],"Mean":[95],"Teacher-based":[96],"cross-domain":[97],"human":[98],"framework":[101],"using":[102],"CSI,":[104],"WiTeacher.":[105],"In":[106],"this":[107],"framework,":[108],"address":[110],"shift":[112],"between":[113,181],"domains,":[117],"built":[119],"label":[121,138,147],"smoothing-based":[122],"classification":[123],"loss,":[124],"where":[125],"input":[127],"are":[129,140],"target-like":[131],"generated":[133],"by":[134,143],"StyleGAN,":[135],"corresponding":[137],"values":[139],"dynamically":[141],"adjusted":[142],"our":[144],"designed":[145],"adaptive":[146],"smoothing":[148],"method.":[149],"enhance":[151],"model":[153],"robustness,":[154],"devise":[156],"sample":[158],"relation-based":[159],"consistency":[160],"regularization":[161],"term":[162],"keep":[164],"distances":[166],"two":[169],"without":[173,195],"perturbations":[174],"invariant,":[175],"can":[177],"exploit":[178],"relationships":[180],"improve":[184],"performance.":[186],"The":[187],"experiments":[188],"illustrate":[189],"that":[190],"WiTeacher":[191],"achieves":[192],"obvious":[193],"gains":[194],"requiring":[196],"any":[197],"annotation":[198],"from":[200],"domain.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
