{"id":"https://openalex.org/W4391020239","doi":"https://doi.org/10.1109/cdc49753.2023.10383206","title":"Latent Dynamic Networked System Identification with High-Dimensional Networked Data","display_name":"Latent Dynamic Networked System Identification with High-Dimensional Networked Data","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391020239","doi":"https://doi.org/10.1109/cdc49753.2023.10383206"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383206","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc49753.2023.10383206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101864563","display_name":"Jiaxin Yu","orcid":"https://orcid.org/0000-0001-9122-1105"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiaxin Yu","raw_affiliation_strings":["School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong,Hong Kong","School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021184976","display_name":"Yanfang Mo","orcid":"https://orcid.org/0000-0002-7907-148X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yanfang Mo","raw_affiliation_strings":["School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong,Hong Kong","School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056937548","display_name":"S. Joe Qin","orcid":"https://orcid.org/0000-0001-7631-2535"},"institutions":[{"id":"https://openalex.org/I165488957","display_name":"Lingnan University","ror":"https://ror.org/0563pg902","country_code":"HK","type":"education","lineage":["https://openalex.org/I165488957"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"S. Joe Qin","raw_affiliation_strings":["Institute of Data Science, Lingnan University,Hong Kong","Institute of Data Science, Lingnan University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Science, Lingnan University,Hong Kong","institution_ids":["https://openalex.org/I165488957"]},{"raw_affiliation_string":"Institute of Data Science, Lingnan University, Hong Kong","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"461","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11236","display_name":"Control Systems and Identification","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7746273279190063},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6608303785324097},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.635696291923523},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.5690639615058899},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5636484026908875},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.5571263432502747},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5026147365570068},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5004057884216309},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49084049463272095},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4102647304534912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3022720217704773},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16650724411010742},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12313991785049438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746273279190063},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6608303785324097},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.635696291923523},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.5690639615058899},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5636484026908875},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.5571263432502747},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5026147365570068},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5004057884216309},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49084049463272095},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4102647304534912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3022720217704773},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16650724411010742},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12313991785049438},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc49753.2023.10383206","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc49753.2023.10383206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-135778","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-135778","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2407125372","display_name":null,"funder_award_id":"U20A20189","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W623233975","https://openalex.org/W1970140665","https://openalex.org/W1979357005","https://openalex.org/W2004186751","https://openalex.org/W2010001505","https://openalex.org/W2070173743","https://openalex.org/W2082029531","https://openalex.org/W2119155480","https://openalex.org/W2137211388","https://openalex.org/W2143288231","https://openalex.org/W2163516029","https://openalex.org/W2503630501","https://openalex.org/W2626923521","https://openalex.org/W2737846508","https://openalex.org/W2765130047","https://openalex.org/W2801599031","https://openalex.org/W2950126918","https://openalex.org/W3092838682","https://openalex.org/W3101440325","https://openalex.org/W4220772834","https://openalex.org/W4245199367","https://openalex.org/W4285246487"],"related_works":["https://openalex.org/W2006096650","https://openalex.org/W2611311248","https://openalex.org/W160456666","https://openalex.org/W3042974105","https://openalex.org/W3015583272","https://openalex.org/W577118248","https://openalex.org/W2029170852","https://openalex.org/W1971084186","https://openalex.org/W3104479853","https://openalex.org/W2433531816"],"abstract_inverted_index":{"Networked":[0],"dynamic":[1,45,62,130],"systems":[2,18],"are":[3,92,110],"ubiquitous":[4],"in":[5,101],"various":[6],"domains,":[7],"such":[8],"as":[9],"industrial":[10,123],"processes,":[11],"social":[12],"networks,":[13],"and":[14,54,82,129],"biological":[15],"systems.":[16],"These":[17],"produce":[19],"high-dimensional":[20],"data":[21,131],"that":[22,49,69],"reflect":[23],"the":[24,28,51,70,96,102,107,116],"complex":[25],"interactions":[26,83],"among":[27],"network":[29,52,125],"nodes":[30],"with":[31,79],"rich":[32],"sensor":[33],"measurements.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"a":[40],"novel":[41],"algorithm":[42,67],"for":[43,58,126],"latent":[44,63,99],"networked":[46],"system":[47,127],"identification":[48,128],"leverages":[50],"structure":[53],"performs":[55],"dimension":[56],"reduction":[57],"each":[59,73,90],"node":[60,74,91],"via":[61],"variables":[64,100],"(DLVs).":[65],"The":[66,87,113],"assumes":[68],"DLVs":[71,88],"of":[72,89,115],"have":[75],"an":[76,122],"auto-regressive":[77],"model":[78],"exogenous":[80],"input":[81],"from":[84],"other":[85],"nodes.":[86],"extracted":[93],"to":[94],"capture":[95],"most":[97],"predictable":[98],"high":[103],"dimensional":[104],"data,":[105],"while":[106],"residual":[108],"factors":[109],"not":[111],"predictable.":[112],"advantage":[114],"proposed":[117],"framework":[118],"is":[119],"demonstrated":[120],"on":[121],"process":[124],"analytics.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
