{"id":"https://openalex.org/W4386243226","doi":"https://doi.org/10.1109/infocom53939.2023.10228967","title":"LightNestle: Quick and Accurate Neural Sequential Tensor Completion via Meta Learning","display_name":"LightNestle: Quick and Accurate Neural Sequential Tensor Completion via Meta Learning","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4386243226","doi":"https://doi.org/10.1109/infocom53939.2023.10228967"},"language":"en","primary_location":{"id":"doi:10.1109/infocom53939.2023.10228967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom53939.2023.10228967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","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/A5100688615","display_name":"Yuhui Li","orcid":"https://orcid.org/0000-0001-9439-8192"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhui Li","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078519973","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-5074-1363"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China","School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062119492","display_name":"Kun Xie","orcid":"https://orcid.org/0000-0002-2163-2723"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Xie","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594820","display_name":"Dafang Zhang","orcid":"https://orcid.org/0000-0003-0765-6857"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafang Zhang","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089489176","display_name":"Songyou Xie","orcid":"https://orcid.org/0000-0002-1421-8022"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyou Xie","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063188437","display_name":"Kuan\u2010Ching Li","orcid":"https://orcid.org/0000-0003-1381-4364"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"KuanChing Li","raw_affiliation_strings":["Hunan University of Science and Technology,School of Computer Science and Engineering,Xiangtan,China,411201","Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Hunan University of Science and Technology,School of Computer Science and Engineering,Xiangtan,China,411201","institution_ids":["https://openalex.org/I121296143"]},{"raw_affiliation_string":"Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100688615"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":3.9611,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93791181,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12303","display_name":"Tensor decomposition and applications","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9110000133514404,"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":0.788161039352417},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.646607518196106},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5928362607955933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5395120978355408},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5386002659797668},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5339948534965515},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5179620981216431},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5096616744995117},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.48891130089759827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46819862723350525},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4619830548763275},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4465847611427307},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.4356752634048462},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42151322960853577},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4117889404296875},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.41155192255973816},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09690931439399719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788161039352417},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.646607518196106},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5928362607955933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395120978355408},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5386002659797668},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5339948534965515},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5179620981216431},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5096616744995117},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.48891130089759827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46819862723350525},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4619830548763275},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4465847611427307},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.4356752634048462},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42151322960853577},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4117889404296875},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.41155192255973816},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09690931439399719},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom53939.2023.10228967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom53939.2023.10228967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1974315654","https://openalex.org/W1988115241","https://openalex.org/W2001575213","https://openalex.org/W2028273200","https://openalex.org/W2091449379","https://openalex.org/W2115829001","https://openalex.org/W2139524463","https://openalex.org/W2145293704","https://openalex.org/W2145563843","https://openalex.org/W2146616964","https://openalex.org/W2171959453","https://openalex.org/W2540285146","https://openalex.org/W2604763608","https://openalex.org/W2790209388","https://openalex.org/W2790496887","https://openalex.org/W2802705234","https://openalex.org/W2898491100","https://openalex.org/W2914231700","https://openalex.org/W2965446129","https://openalex.org/W2980225702","https://openalex.org/W3011613539","https://openalex.org/W3016585146","https://openalex.org/W3035382666","https://openalex.org/W3047551250","https://openalex.org/W3088777230","https://openalex.org/W3089039808","https://openalex.org/W3123221884","https://openalex.org/W3152733682","https://openalex.org/W3154890711","https://openalex.org/W3195913310","https://openalex.org/W3210138510","https://openalex.org/W4226135409","https://openalex.org/W4230079300","https://openalex.org/W4283214706","https://openalex.org/W4288080156","https://openalex.org/W4292230185","https://openalex.org/W4294690883","https://openalex.org/W6736057607","https://openalex.org/W6789463137","https://openalex.org/W6811169585"],"related_works":["https://openalex.org/W2081982437","https://openalex.org/W4394857231","https://openalex.org/W2027050655","https://openalex.org/W3028244590","https://openalex.org/W4254349500","https://openalex.org/W2014369232","https://openalex.org/W3122042562","https://openalex.org/W2050078012","https://openalex.org/W2060761133","https://openalex.org/W3171384686"],"abstract_inverted_index":{"Network":[0],"operation":[1],"and":[2,20,33,49,69,130,139,173],"maintenance":[3],"rely":[4],"heavily":[5],"on":[6,97,153],"network":[7,24,62,105,156],"traffic":[8,25,63,157],"monitoring.":[9],"Due":[10],"to":[11,73,75,106,113,120,134,143,159],"the":[12,55,85],"measurement":[13,18],"overhead":[14],"reduction,":[15],"lack":[16,66],"of":[17],"infrastructure,":[19],"unexpected":[21],"transmission":[22],"error,":[23],"monitoring":[26],"systems":[27],"suffer":[28],"from":[29,110],"incomplete":[30],"observed":[31],"data":[32,35,42,64,78,138],"high":[34,174],"sparsity":[36],"problems.":[37],"Recent":[38],"studies":[39],"model":[40],"missing":[41,137],"recovery":[43,65,175],"as":[44],"a":[45,90],"tensor":[46,57,93],"completion":[47,58,94],"task":[48],"show":[50,164],"good":[51],"performance.":[52,162],"Although":[53],"promising,":[54],"current":[56,114,125],"models":[59],"adopted":[60],"in":[61,127],"an":[67,102,117],"effective":[68],"efficient":[70],"retraining":[71,172],"scheme":[72,95],"adapt":[74],"newly":[76],"arrived":[77],"while":[79],"retaining":[80],"historical":[81],"information.":[82],"To":[83],"solve":[84],"problem,":[86],"we":[87],"propose":[88],"LightNestle,":[89],"novel":[91],"sequential":[92],"based":[96],"meta-learning,":[98],"which":[99],"designs":[100],"(1)":[101],"expressive":[103],"neural":[104],"transfer":[107,121,141],"spatial":[108],"knowledge":[109],"previous":[111],"embeddings":[112,126],"embeddings;":[115],"(2)":[116],"attention-based":[118],"module":[119],"temporal":[122],"patterns":[123],"into":[124],"linear":[128],"complexity;":[129],"(3)":[131],"meta-learning-based":[132],"algorithms":[133],"iteratively":[135],"recover":[136],"update":[140],"modules":[142],"catch":[144],"up":[145],"with":[146],"learned":[147],"knowledge.":[148],"We":[149],"conduct":[150],"extensive":[151],"experiments":[152],"two":[154],"real-world":[155],"datasets":[158],"assess":[160],"our":[161,166],"Results":[163],"that":[165],"proposed":[167],"methods":[168],"achieve":[169],"both":[170],"fast":[171],"accuracy.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}