{"id":"https://openalex.org/W4411086159","doi":"https://doi.org/10.1109/miot.2025.3575803","title":"Synthetic User Behavior Sequence Generation With Large Language Models for Smart Homes","display_name":"Synthetic User Behavior Sequence Generation With Large Language Models for Smart Homes","publication_year":2025,"publication_date":"2025-06-06","ids":{"openalex":"https://openalex.org/W4411086159","doi":"https://doi.org/10.1109/miot.2025.3575803"},"language":"en","primary_location":{"id":"doi:10.1109/miot.2025.3575803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/miot.2025.3575803","pdf_url":null,"source":{"id":"https://openalex.org/S4210201254","display_name":"IEEE Internet of Things Magazine","issn_l":"2576-3180","issn":["2576-3180","2576-3199"],"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 Magazine","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/A5071543199","display_name":"Zhiyao Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyao Xu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Shenzhen, China","Tsinghua Shenzhen International Graduate School, China"],"raw_orcid":"https://orcid.org/0009-0004-5815-5520","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100899183","display_name":"Dan Zhao","orcid":"https://orcid.org/0000-0001-9016-5594"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zhao","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China","Pengcheng Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0001-9016-5594","affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Pengcheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079973133","display_name":"Qingsong Zou","orcid":"https://orcid.org/0000-0002-7892-0021"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingsong Zou","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Shenzhen, China","Tsinghua Shenzhen International Graduate School, China"],"raw_orcid":"https://orcid.org/0000-0002-7892-0021","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033074326","display_name":"Jingyu Xiao","orcid":"https://orcid.org/0000-0002-2394-2995"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingyu Xiao","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, SAR, China","The Chinese University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-2394-2995","affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Jiang","orcid":"https://orcid.org/0000-0002-4260-1395"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Jiang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Shenzhen, China","Tsinghua Shenzhen International Graduate School, China"],"raw_orcid":"https://orcid.org/0000-0002-4260-1395","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenhui Yuan","orcid":"https://orcid.org/0009-0001-7973-5960"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhenhui Yuan","raw_affiliation_strings":["University of Warwick, Coventry, U.K","University of Warwick, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0001-7973-5960","affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"University of Warwick, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734609","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6071-473X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China","Pengcheng Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0002-6071-473X","affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Pengcheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8048,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90629782,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"17","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9864000082015991,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9864000082015991,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6137819886207581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5124393105506897},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07610136270523071}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6137819886207581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5124393105506897},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07610136270523071},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/miot.2025.3575803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/miot.2025.3575803","pdf_url":null,"source":{"id":"https://openalex.org/S4210201254","display_name":"IEEE Internet of Things Magazine","issn_l":"2576-3180","issn":["2576-3180","2576-3199"],"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 Magazine","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:191696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/MIOT.2025.3575803","pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3133225445","display_name":null,"funder_award_id":"KJZD20230923114059020","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320329801","display_name":"Shenzhen Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"In":[0,110],"recent":[1],"years,":[2],"as":[3,28,84],"smart":[4,23,62,128,143],"home":[5,24,63,129,144,170],"systems":[6],"have":[7,16,82],"become":[8,17],"more":[9],"widespread,":[10],"security":[11,25],"concerns":[12,74],"within":[13],"these":[14],"environments":[15],"a":[18,85,89,176,205],"growing":[19],"threat.":[20],"Currently,":[21],"most":[22,191],"solutions,":[26],"such":[27],"anomaly":[29],"detection":[30],"and":[31,51,108,156,211,223,235],"behavior":[32,186],"prediction":[33],"models,":[34],"are":[35,41],"trained":[36],"using":[37],"fixed":[38,155],"datasets":[39,136],"that":[40,137],"precollected.":[42],"However,":[43],"the":[44,53,59,66,124,141,152,165,190,195],"process":[45],"of":[46,68,92,126,154,168],"dataset":[47,118],"collection":[48,67],"is":[49],"time-consuming":[50],"lacks":[52],"flexibility":[54],"needed":[55],"to":[56,58,99,122,150,161,208,215,232],"adapt":[57],"constantly":[60],"evolving":[61],"environment.":[64],"Additionally,":[65],"personal":[69],"data":[70,196,213,220],"raises":[71],"significant":[72],"privacy":[73],"for":[75,88,184],"users.":[76],"Lately,":[77],"large":[78],"language":[79,105],"models":[80,146,228],"(LLMs)":[81],"emerged":[83],"powerful":[86],"tool":[87],"wide":[90],"range":[91],"tasks":[93],"across":[94],"diverse":[95],"application":[96],"domains,":[97],"thanks":[98],"their":[100],"strong":[101],"capabilities":[102],"in":[103,140,194,229],"natural":[104],"processing,":[106],"reasoning,":[107],"problem-solving.":[109],"this":[111],"paper,":[112],"we":[113,173,203],"propose":[114,175,204],"an":[115],"LLM-based":[116],"synthetic":[117,135,219],"generation":[119,214],"IoTGen":[120],"framework":[121],"enhance":[123],"generalization":[125,234],"downstream":[127],"intelligent":[130,145],"models.":[131],"By":[132],"generating":[133],"new":[134],"reflect":[138],"changes":[139],"environment,":[142],"can":[147],"be":[148],"retrained":[149],"overcome":[151],"limitations":[153],"outdated":[157],"data,":[158,187],"allowing":[159],"them":[160],"better":[162],"align":[163],"with":[164,221],"dynamic":[166],"nature":[167],"real-world":[169,236],"environments.":[171],"Specifically,":[172],"first":[174],"Structure":[177],"Pattern":[178],"Perception":[179],"Compression":[180],"(SPPC)":[181],"method":[182],"tailored":[183],"IoT":[185,218],"which":[188],"preserves":[189],"informative":[192],"content":[193],"while":[197],"significantly":[198],"reducing":[199],"token":[200],"consumption.":[201],"Then,":[202],"systematic":[206],"approach":[207],"create":[209],"prompts":[210],"implement":[212],"automatically":[216],"generate":[217],"normative":[222],"reasonable":[224],"properties,":[225],"assisting":[226],"task":[227],"adaptive":[230],"training":[231],"improve":[233],"performance.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}