{"id":"https://openalex.org/W3187676397","doi":"https://doi.org/10.24963/ijcai.2021/186","title":"PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery","display_name":"PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3187676397","doi":"https://doi.org/10.24963/ijcai.2021/186","mag":"3187676397"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/186","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/186","pdf_url":"https://www.ijcai.org/proceedings/2021/0186.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0186.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047407285","display_name":"Weibing Zhao","orcid":"https://orcid.org/0000-0002-2819-990X"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weibing Zhao","raw_affiliation_strings":["Shenzhen Research Institute of Big Data","The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013947981","display_name":"Yan Xu","orcid":"https://orcid.org/0000-0002-0503-183X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Yan","raw_affiliation_strings":["Shenzhen Research Institute of Big Data","The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027746769","display_name":"Jiantao Gao","orcid":"https://orcid.org/0000-0001-5057-0229"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiantao Gao","raw_affiliation_strings":["Shanghai University","Shenzhen Research Institute of Big Data"],"affiliations":[{"raw_affiliation_string":"Shanghai University","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003608795","display_name":"Ruimao Zhang","orcid":"https://orcid.org/0000-0001-9511-7532"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimao Zhang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data","The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115076793","display_name":"Jiayan Zhang","orcid":"https://orcid.org/0000-0003-0930-6236"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayan Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332625","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-7669-2686"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Chinese University of Hong Kong, Shenzhen","Shenzhen Research Institute of Big Data","The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055454866","display_name":"Song Wu","orcid":"https://orcid.org/0000-0003-3504-1630"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210145330","display_name":"Shenzhen Luohu People's Hospital","ror":"https://ror.org/04bpt8p43","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wu","raw_affiliation_strings":["Shenzhen Luohu Hospital","The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Shenzhen Luohu Hospital","institution_ids":["https://openalex.org/I4210145330"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["Shenzhen Research Institute of Big Data","The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5047407285"],"corresponding_institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":0.8901,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69960639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1345","last_page":"1351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7625114321708679},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6340699195861816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147034764289856},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5190568566322327},{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.5121653079986572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44923925399780273},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43952181935310364},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4268665313720703},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3858792185783386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.320480614900589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22223198413848877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18294799327850342}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7625114321708679},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6340699195861816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147034764289856},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5190568566322327},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.5121653079986572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44923925399780273},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43952181935310364},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4268665313720703},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3858792185783386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.320480614900589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22223198413848877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18294799327850342},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/186","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/186","pdf_url":"https://www.ijcai.org/proceedings/2021/0186.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/186","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/186","pdf_url":"https://www.ijcai.org/proceedings/2021/0186.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1160549216","display_name":null,"funder_award_id":"81922046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2273800250","display_name":null,"funder_award_id":"NSFC-","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3442646903","display_name":null,"funder_award_id":"2018B030338001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3978441057","display_name":null,"funder_award_id":"2018YFB1800800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6567752195","display_name":null,"funder_award_id":"61931024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6809183074","display_name":null,"funder_award_id":"Project No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8433390748","display_name":null,"funder_award_id":"61902335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8783113536","display_name":null,"funder_award_id":"2017ZT07X152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3187676397.pdf","grobid_xml":"https://content.openalex.org/works/W3187676397.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1583912456","https://openalex.org/W1992642990","https://openalex.org/W2009622804","https://openalex.org/W2560722161","https://openalex.org/W2898631838","https://openalex.org/W2905544027","https://openalex.org/W2948700496","https://openalex.org/W2963121255","https://openalex.org/W2963231572","https://openalex.org/W2963390820","https://openalex.org/W2963680153","https://openalex.org/W2997337685","https://openalex.org/W3034239841","https://openalex.org/W3034664537","https://openalex.org/W3107032263","https://openalex.org/W3174692508","https://openalex.org/W4287997294","https://openalex.org/W4289694518","https://openalex.org/W4289761690","https://openalex.org/W4297798428","https://openalex.org/W4298393859"],"related_works":["https://openalex.org/W4251428025","https://openalex.org/W2784467519","https://openalex.org/W4289867043","https://openalex.org/W4244478748","https://openalex.org/W2366459771","https://openalex.org/W1973736094","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2081900870"],"abstract_inverted_index":{"Point":[0],"Cloud":[1],"Sampling":[2],"and":[3,14,23,77,140,160,164],"Recovery":[4],"(PCSR)":[5],"is":[6,114],"critical":[7],"for":[8,59],"massive":[9],"real-time":[10],"point":[11,38,60,74],"cloud":[12,39,75],"collection":[13],"processing":[15],"since":[16],"raw":[17],"data":[18],"usually":[19],"requires":[20],"large":[21],"storage":[22,58],"computation.":[24],"This":[25],"paper":[26],"addresses":[27],"a":[28,52,64,107,118,141],"fundamental":[29],"problem":[30],"in":[31,51,121],"PCSR:":[32],"How":[33],"to":[34,71,106,116],"downsample":[35],"the":[36,45,73,89,97,103,111,122,126,136,147,156],"dense":[37],"with":[40],"arbitrary":[41],"scales":[42],"while":[43],"preserving":[44],"local":[46,90],"topology":[47],"of":[48,158],"discarded":[49,94],"points":[50,95,99,139],"case-agnostic":[53],"manner":[54],"(i.e.,":[55],"without":[56],"additional":[57],"relationships)?":[61],"We":[62],"propose":[63],"novel":[65],"Locally":[66],"Invertible":[67],"Embedding":[68],"(PointLIE)":[69],"framework":[70,82],"unify":[72],"sampling":[76,124],"upsampling":[78],"into":[79],"one":[80],"single":[81],"through":[83,132],"bi-directional":[84],"learning.":[85],"Specifically,":[86],"PointLIE":[87,152],"decouples":[88],"geometric":[91],"relationships":[92],"between":[93],"from":[96,146],"sampled":[98,138],"by":[100],"progressively":[101],"encoding":[102],"neighboring":[104],"offsets":[105],"latent":[108,112,142],"variable.":[109],"Once":[110],"variable":[113],"forced":[115],"obey":[117],"pre-defined":[119],"distribution":[120,149],"forward":[123],"path,":[125],"recovery":[127],"can":[128,153],"be":[129],"achieved":[130],"effectively":[131],"inverse":[133],"operations.":[134],"Taking":[135],"recover-pleasing":[137],"embedding":[143],"randomly":[144],"drawn":[145],"specified":[148],"as":[150],"inputs,":[151],"theoretically":[154],"guarantee":[155],"fidelity":[157],"reconstruction":[159],"outperform":[161],"state-of-the-arts":[162],"quantitatively":[163],"qualitatively.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
