{"id":"https://openalex.org/W4309658202","doi":"https://doi.org/10.1109/tnnls.2022.3221103","title":"Hierarchical Neighbors Embedding","display_name":"Hierarchical Neighbors Embedding","publication_year":2022,"publication_date":"2022-11-21","ids":{"openalex":"https://openalex.org/W4309658202","doi":"https://doi.org/10.1109/tnnls.2022.3221103","pmid":"https://pubmed.ncbi.nlm.nih.gov/36409806"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3221103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3221103","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101525691","display_name":"Shenglan Liu","orcid":"https://orcid.org/0000-0002-2250-2365"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenglan Liu","raw_affiliation_strings":["School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076800961","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0001-5922-1164"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664187","display_name":"Kaiyuan Liu","orcid":"https://orcid.org/0000-0002-6287-573X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Liu","raw_affiliation_strings":["School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101844321","display_name":"Feilong Wang","orcid":"https://orcid.org/0000-0003-2696-5620"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Wang","raw_affiliation_strings":["School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059712074","display_name":"Wujun Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wujun Wen","raw_affiliation_strings":["School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026688050","display_name":"Hong Qiao","orcid":"https://orcid.org/0000-0001-6384-3687"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Qiao","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101525691"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49367553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"35","issue":"6","first_page":"7816","last_page":"7829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9564999938011169,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8391830921173096},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.7353509068489075},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.71232008934021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6292688250541687},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.4899229407310486},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.46847453713417053},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46110138297080994},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39447498321533203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3781123459339142},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32732802629470825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3028608560562134},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.08389511704444885},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06466725468635559}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8391830921173096},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.7353509068489075},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.71232008934021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292688250541687},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.4899229407310486},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.46847453713417053},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46110138297080994},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39447498321533203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3781123459339142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32732802629470825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3028608560562134},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.08389511704444885},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06466725468635559},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3221103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3221103","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36409806","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36409806","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G471587438","display_name":null,"funder_award_id":"XDB32050100","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8831283860","display_name":null,"funder_award_id":"DUT22JC14","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8936065553","display_name":null,"funder_award_id":"91948303","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W287609105","https://openalex.org/W1525847005","https://openalex.org/W1587559447","https://openalex.org/W1602841194","https://openalex.org/W1770943136","https://openalex.org/W1876688746","https://openalex.org/W1884731728","https://openalex.org/W1888005072","https://openalex.org/W1969766704","https://openalex.org/W1986736933","https://openalex.org/W2001141328","https://openalex.org/W2028581327","https://openalex.org/W2044420351","https://openalex.org/W2053186076","https://openalex.org/W2064733273","https://openalex.org/W2065369920","https://openalex.org/W2072188503","https://openalex.org/W2077776048","https://openalex.org/W2089468765","https://openalex.org/W2097308346","https://openalex.org/W2107564884","https://openalex.org/W2111394372","https://openalex.org/W2125003829","https://openalex.org/W2133893370","https://openalex.org/W2135744686","https://openalex.org/W2138621090","https://openalex.org/W2147274519","https://openalex.org/W2156838815","https://openalex.org/W2157497013","https://openalex.org/W2161951361","https://openalex.org/W2165700285","https://openalex.org/W2242818826","https://openalex.org/W2344415132","https://openalex.org/W2393319904","https://openalex.org/W2403175639","https://openalex.org/W2467389505","https://openalex.org/W2479069429","https://openalex.org/W2509518867","https://openalex.org/W2558748708","https://openalex.org/W2592448078","https://openalex.org/W2604865066","https://openalex.org/W2611834958","https://openalex.org/W2612872092","https://openalex.org/W2613065054","https://openalex.org/W2726357088","https://openalex.org/W2728844405","https://openalex.org/W2743395878","https://openalex.org/W2776140326","https://openalex.org/W2776639132","https://openalex.org/W2809034148","https://openalex.org/W2892065377","https://openalex.org/W2901716970","https://openalex.org/W2902652978","https://openalex.org/W2907079035","https://openalex.org/W2963076818","https://openalex.org/W2964015378","https://openalex.org/W2997770686","https://openalex.org/W3105988773","https://openalex.org/W3159953198","https://openalex.org/W3201109813","https://openalex.org/W3203634062","https://openalex.org/W4246354968","https://openalex.org/W6608051910","https://openalex.org/W6677911923","https://openalex.org/W6677968238","https://openalex.org/W6682644385","https://openalex.org/W6684088560","https://openalex.org/W6726873649","https://openalex.org/W6753331806","https://openalex.org/W6754754690","https://openalex.org/W6758068992","https://openalex.org/W6794510913","https://openalex.org/W7034449035"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W3100478695","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W2900415423","https://openalex.org/W3159953198","https://openalex.org/W4394643898","https://openalex.org/W49725993","https://openalex.org/W2380477800","https://openalex.org/W2970256865"],"abstract_inverted_index":{"Manifold":[0],"learning":[1,9,22,148],"now":[2],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,24,63,135,154],"machine":[8],"and":[10,95,105,121,160],"many":[11],"relevant":[12],"applications.":[13],"In":[14],"spite":[15],"of":[16,20,38,80,127,139],"the":[17,36,56,74,92,103,125,132],"superior":[18],"performance":[19,31],"manifold":[21,147],"techniques":[23],"dealing":[25,136,155],"with":[26,118,137,144,156],"nonlinear":[27],"data":[28,39,52,138,159],"distribution,":[29],"their":[30],"would":[32],"drop":[33],"when":[34,48],"facing":[35],"problem":[37],"sparsity.":[40],"It":[41],"is":[42],"hard":[43],"to":[44],"obtain":[45,114],"satisfactory":[46],"embeddings":[47,117],"sparsely":[49,157],"sampled":[50,158],"high-dimensional":[51],"are":[53,87],"mapped":[54],"into":[55],"observation":[57],"space.":[58],"To":[59],"address":[60],"this":[61,64],"issue,":[62],"article,":[65],"we":[66],"propose":[67],"hierarchical":[68,78],"neighbors":[69],"embedding":[70,128],"(HNE),":[71],"which":[72],"enhances":[73],"local":[75],"connections":[76],"through":[77],"combination":[79],"neighbors.":[81],"And":[82],"three":[83],"different":[84],"HNE-based":[85,111],"implementations":[86],"derived":[88],"by":[89],"further":[90],"analyzing":[91],"topological":[93,120],"connection":[94],"reconstruction":[96],"performance.":[97],"The":[98],"experimental":[99],"results":[100],"on":[101],"both":[102],"synthetic":[104],"real-world":[106],"datasets":[107],"illustrate":[108],"that":[109],"our":[110],"methods":[112],"could":[113],"more":[115],"faithful":[116],"better":[119],"geometrical":[122],"properties.":[123],"From":[124],"view":[126],"quality,":[129],"HNE":[130,150],"develops":[131],"outstanding":[133],"advantages":[134],"general":[140],"distributions.":[141],"Furthermore,":[142],"comparing":[143],"other":[145],"state-of-the-art":[146],"methods,":[149],"shows":[151],"its":[152],"superiority":[153],"weak-connected":[161],"manifolds.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}