{"id":"https://openalex.org/W2597701578","doi":"https://doi.org/10.1109/tpami.2017.2688363","title":"Multi-Target Regression via Robust Low-Rank Learning","display_name":"Multi-Target Regression via Robust Low-Rank Learning","publication_year":2017,"publication_date":"2017-03-28","ids":{"openalex":"https://openalex.org/W2597701578","doi":"https://doi.org/10.1109/tpami.2017.2688363","mag":"2597701578","pmid":"https://pubmed.ncbi.nlm.nih.gov/28368816"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2688363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2688363","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5026486701","display_name":"Xiantong Zhen","orcid":"https://orcid.org/0000-0001-5213-0462"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xiantong Zhen","raw_affiliation_strings":["Department of Medical Biophysics, University of Western Ontario, London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medical Biophysics, University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103093144","display_name":"Mengyang Yu","orcid":"https://orcid.org/0000-0003-1191-429X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mengyang Yu","raw_affiliation_strings":["Computer Vision Laboratory, ETH Zurich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Zurich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013345","display_name":"Xiaofei He","orcid":"https://orcid.org/0009-0001-9107-2354"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei He","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386630","display_name":"Shuo Li","orcid":"https://orcid.org/0000-0002-5184-3230"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["Department of Medical Biophysics, University of Western Ontario, London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medical Biophysics, University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026486701"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":6.1912,"has_fulltext":false,"cited_by_count":139,"citation_normalized_percentile":{"value":0.9778621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"40","issue":"2","first_page":"497","last_page":"504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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/T12676","display_name":"Machine Learning and ELM","score":0.9965000152587891,"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":0.7667374014854431},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6600232124328613},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.651566207408905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6279559135437012},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.608810544013977},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5723512172698975},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4619567394256592},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45826369524002075},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4489075243473053},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43956103920936584},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43131959438323975},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3601791262626648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13650232553482056},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09309890866279602}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7667374014854431},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6600232124328613},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.651566207408905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6279559135437012},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.608810544013977},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5723512172698975},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4619567394256592},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45826369524002075},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4489075243473053},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43956103920936584},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43131959438323975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3601791262626648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13650232553482056},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09309890866279602},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":2,"locations":[{"id":"doi:10.1109/tpami.2017.2688363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2688363","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28368816","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28368816","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W195665135","https://openalex.org/W213042921","https://openalex.org/W1038736503","https://openalex.org/W1480376833","https://openalex.org/W1510073064","https://openalex.org/W1512098439","https://openalex.org/W1545951971","https://openalex.org/W1557222137","https://openalex.org/W1601795611","https://openalex.org/W1615417444","https://openalex.org/W1663973292","https://openalex.org/W1849210333","https://openalex.org/W1858022548","https://openalex.org/W1871180460","https://openalex.org/W1871863450","https://openalex.org/W1903038885","https://openalex.org/W1921133930","https://openalex.org/W1942758450","https://openalex.org/W1969811075","https://openalex.org/W1969954882","https://openalex.org/W1984541063","https://openalex.org/W1984983329","https://openalex.org/W1994537880","https://openalex.org/W1999140058","https://openalex.org/W2002355073","https://openalex.org/W2009746375","https://openalex.org/W2032612424","https://openalex.org/W2034295546","https://openalex.org/W2065180801","https://openalex.org/W2075490785","https://openalex.org/W2081531193","https://openalex.org/W2097334502","https://openalex.org/W2105410888","https://openalex.org/W2112771848","https://openalex.org/W2118550318","https://openalex.org/W2122347864","https://openalex.org/W2122825543","https://openalex.org/W2130903752","https://openalex.org/W2135046866","https://openalex.org/W2139259843","https://openalex.org/W2144752499","https://openalex.org/W2144902422","https://openalex.org/W2146611938","https://openalex.org/W2148522164","https://openalex.org/W2150621701","https://openalex.org/W2157024002","https://openalex.org/W2159291411","https://openalex.org/W2162421262","https://openalex.org/W2163605009","https://openalex.org/W2165644552","https://openalex.org/W2166180593","https://openalex.org/W2169393334","https://openalex.org/W2171837816","https://openalex.org/W2206767039","https://openalex.org/W2244253939","https://openalex.org/W2283039974","https://openalex.org/W2296206227","https://openalex.org/W2337287714","https://openalex.org/W2586989436","https://openalex.org/W2747420152","https://openalex.org/W2798909945","https://openalex.org/W2913340405","https://openalex.org/W2949664970","https://openalex.org/W2950262668","https://openalex.org/W2951908810","https://openalex.org/W2962839807","https://openalex.org/W2963891150","https://openalex.org/W2964121793","https://openalex.org/W2964135722","https://openalex.org/W3124484778","https://openalex.org/W4230031267","https://openalex.org/W6607912541","https://openalex.org/W6608583218","https://openalex.org/W6630527977","https://openalex.org/W6632908801","https://openalex.org/W6636918297","https://openalex.org/W6639042017","https://openalex.org/W6639107426","https://openalex.org/W6639239318","https://openalex.org/W6639248675","https://openalex.org/W6640069074","https://openalex.org/W6640181786","https://openalex.org/W6640290990","https://openalex.org/W6640786210","https://openalex.org/W6675791526","https://openalex.org/W6676629630","https://openalex.org/W6679734692","https://openalex.org/W6680565179","https://openalex.org/W6681302627","https://openalex.org/W6681414149","https://openalex.org/W6683131423","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6684607807","https://openalex.org/W6684671274","https://openalex.org/W6684696923","https://openalex.org/W6684770997","https://openalex.org/W6688315574","https://openalex.org/W6697566506"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2201908702","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2032776242"],"abstract_inverted_index":{"Multi-target":[0,49],"regression":[1,16,156],"has":[2],"recently":[3],"regained":[4],"great":[5,32,192],"popularity":[6],"due":[7],"to":[8,98],"its":[9,19,191],"capability":[10],"of":[11,126,137],"simultaneously":[12,54],"learning":[13,132,139,152],"multiple":[14],"relevant":[15],"tasks":[17],"and":[18,27,40,59,133,164,184,194],"wide":[20],"applications":[21],"in":[22,63,79,92],"data":[23],"mining,":[24],"computer":[25],"vision":[26],"medical":[28],"image":[29],"analysis,":[30],"while":[31],"challenges":[33],"arise":[34],"from":[35],"jointly":[36],"handling":[37],"inter-target":[38,57,77,142],"correlations":[39,58,78],"input-output":[41,61,104],"relationships.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"Multi-layer":[48],"Regression":[50],"(MMR)":[51],"which":[52,157,189],"enables":[53],"modeling":[55],"intrinsic":[56],"nonlinear":[60,103,130],"relationships":[62],"a":[64,80,113,149],"general":[65],"framework":[66],"via":[67],"robust":[68],"low-rank":[69],"learning.":[70],"Specifically,":[71],"the":[72,88,95,106,124,134],"MMR":[73,89,107,122,178],"can":[74,90,108,179],"explicitly":[75],"encode":[76],"structure":[81],"matrix":[82,84],"by":[83,112],"elastic":[85],"nets":[86],"(MEN);":[87],"work":[91],"conjunction":[93],"with":[94,118,160],"kernel":[96,127],"trick":[97],"effectively":[99],"disentangle":[100],"highly":[101],"complex":[102],"relationships;":[105],"be":[109],"efficiently":[110],"solved":[111],"new":[114,150],"alternating":[115],"optimization":[116],"algorithm":[117],"guaranteed":[119],"convergence.":[120],"The":[121],"leverages":[123],"strength":[125],"methods":[128],"for":[129,141,154,196],"feature":[131],"structural":[135],"advantage":[136],"multi-layer":[138,151],"architectures":[140],"correlation":[143],"modeling.":[144],"More":[145],"importantly,":[146],"it":[147],"offers":[148],"paradigm":[153],"multi-target":[155],"is":[158],"endowed":[159],"high":[161,182],"generality,":[162],"flexibility":[163],"expressive":[165],"ability.":[166],"Extensive":[167],"experimental":[168],"evaluation":[169],"on":[170],"18":[171],"diverse":[172],"real-world":[173],"datasets":[174],"demonstrates":[175],"that":[176],"our":[177],"achieve":[180],"consistently":[181],"performance":[183],"outperforms":[185],"representative":[186],"state-of-the-art":[187],"algorithms,":[188],"shows":[190],"effectiveness":[193],"generality":[195],"multivariate":[197],"prediction.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
