{"id":"https://openalex.org/W2803732898","doi":"https://doi.org/10.1109/tkde.2018.2837085","title":"Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation","display_name":"Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation","publication_year":2018,"publication_date":"2018-05-16","ids":{"openalex":"https://openalex.org/W2803732898","doi":"https://doi.org/10.1109/tkde.2018.2837085","mag":"2803732898"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2018.2837085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2837085","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-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/A5024453719","display_name":"Wenhao Jiang","orcid":"https://orcid.org/0000-0002-0795-366X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhao Jiang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102798905","display_name":"Hongchang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongchang Gao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766133","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-3777-9228"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431792","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043016512","display_name":"Fu-Lai Chung","orcid":"https://orcid.org/0000-0001-5294-8168"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fu-Lai Chung","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060016795","display_name":"Heng Huang","orcid":"https://orcid.org/0000-0002-3483-8333"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024453719"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":3.2154,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.93490662,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"31","issue":"3","first_page":"561","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T12676","display_name":"Machine Learning and ELM","score":0.9860000014305115,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9672999978065491,"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":0.8076306581497192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6695939898490906},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.6148319840431213},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5591781735420227},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5576632022857666},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5307466983795166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5080976486206055},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48528072237968445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46282845735549927},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4387577176094055},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4154960513114929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3557595908641815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1341039538383484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076306581497192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6695939898490906},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.6148319840431213},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5591781735420227},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5576632022857666},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5307466983795166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5080976486206055},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48528072237968445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46282845735549927},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4387577176094055},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4154960513114929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3557595908641815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1341039538383484},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2018.2837085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2837085","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W113837456","https://openalex.org/W158260078","https://openalex.org/W1479807131","https://openalex.org/W1554944419","https://openalex.org/W1576445103","https://openalex.org/W1682040381","https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1853837125","https://openalex.org/W1934241014","https://openalex.org/W1978394996","https://openalex.org/W2032536435","https://openalex.org/W2034368206","https://openalex.org/W2048679005","https://openalex.org/W2053090063","https://openalex.org/W2068463433","https://openalex.org/W2096873754","https://openalex.org/W2097908878","https://openalex.org/W2104068492","https://openalex.org/W2104094955","https://openalex.org/W2105523772","https://openalex.org/W2107789863","https://openalex.org/W2110091014","https://openalex.org/W2112483442","https://openalex.org/W2115124945","https://openalex.org/W2115403315","https://openalex.org/W2118045473","https://openalex.org/W2120149881","https://openalex.org/W2120354757","https://openalex.org/W2120587290","https://openalex.org/W2120708938","https://openalex.org/W2128053425","https://openalex.org/W2130903752","https://openalex.org/W2131953535","https://openalex.org/W2136504847","https://openalex.org/W2138382875","https://openalex.org/W2139122730","https://openalex.org/W2140262144","https://openalex.org/W2145094598","https://openalex.org/W2149466042","https://openalex.org/W2153635508","https://openalex.org/W2158108973","https://openalex.org/W2158751697","https://openalex.org/W2158815628","https://openalex.org/W2163302275","https://openalex.org/W2163922914","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2170580685","https://openalex.org/W2171033594","https://openalex.org/W2171370495","https://openalex.org/W2171837816","https://openalex.org/W2215421138","https://openalex.org/W2218318129","https://openalex.org/W2566133564","https://openalex.org/W2886141085","https://openalex.org/W2913340405","https://openalex.org/W2950333415","https://openalex.org/W2962779927","https://openalex.org/W2963275094","https://openalex.org/W2963500702","https://openalex.org/W2997574889","https://openalex.org/W3146885639","https://openalex.org/W4236188916","https://openalex.org/W4249667877","https://openalex.org/W6600949241","https://openalex.org/W6634343353","https://openalex.org/W6637154279","https://openalex.org/W6637542466","https://openalex.org/W6637618735","https://openalex.org/W6674764686","https://openalex.org/W6675865240","https://openalex.org/W6676071220","https://openalex.org/W6676587327","https://openalex.org/W6676840641","https://openalex.org/W6677592774","https://openalex.org/W6677741084","https://openalex.org/W6679734692","https://openalex.org/W6680140577","https://openalex.org/W6680557434","https://openalex.org/W6681096077","https://openalex.org/W6681637710","https://openalex.org/W6683245480","https://openalex.org/W6683401423","https://openalex.org/W6684149856","https://openalex.org/W6685011763","https://openalex.org/W6685415078","https://openalex.org/W6688152027","https://openalex.org/W6688205761","https://openalex.org/W6688386640","https://openalex.org/W6731148943","https://openalex.org/W7018396312"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W3178390372","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,98,122],"is":[2,41,114,136,168,195],"the":[3,10,16,20,26,46,49,155,158,165,174,177,180,192],"situation":[4],"for":[5,69,120],"supervised":[6],"learning":[7,57,92,105],"in":[8,76,179],"which":[9,135],"training":[11,50,159],"data":[12,22,51,160],"are":[13,23],"sampled":[14,24],"from":[15,25],"source":[17],"domain":[18,28,77,97,121],"while":[19],"test":[21,53,162],"target":[27],"that":[29,59,191],"follows":[30],"a":[31,39,93,103,131,144],"different":[32],"distribution.":[33],"The":[34,149,182],"key":[35],"to":[36,42,65,96,116,169],"solving":[37],"such":[38],"problem":[40],"reduce":[43],"effects":[44],"of":[45,126,176],"discrepancy":[47,156],"between":[48,157],"and":[52,143,161,164,172,187],"data.":[54],"Recently,":[55],"deep":[56,91,104],"methods":[58],"employ":[60],"stacked":[61],"denoising":[62],"auto-encoders":[63],"(SDAs)":[64],"learn":[66,117],"new":[67],"representations":[68,119],"both":[70],"domains":[71],"have":[72],"been":[73,88],"successfully":[74],"applied":[75],"adaptation.":[78],"And,":[79],"remarkable":[80],"performance":[81],"on":[82,138,185],"multi-domain":[83],"sentiment":[84],"analysis":[85],"datasets":[86,189],"has":[87],"reported,":[89],"making":[90],"promising":[94],"approach":[95],"problems.":[99,123],"In":[100],"this":[101],"paper,":[102],"method":[106,194],"called":[107],"Stacked":[108],"Robust":[109],"Adaptively":[110],"Regularized":[111],"Auto-regressions":[112],"(SRARAs)":[113],"proposed":[115,193],"useful":[118],"Each":[124],"layer":[125],"SRARAs":[127],"contains":[128],"two":[129],"steps:":[130],"linear":[132],"transformation":[133,147],"step,":[134],"based":[137],"robust":[139],"adaptively":[140],"regularized":[141],"auto-regression,":[142],"non-linear":[145],"squashing":[146],"step.":[148],"first":[150],"step":[151,167],"aims":[152],"at":[153],"reducing":[154],"data,":[163],"second":[166],"introduce":[170],"non-linearity":[171],"control":[173],"range":[175],"elements":[178],"outputs.":[181],"experimental":[183],"results":[184],"text":[186],"image":[188],"demonstrate":[190],"very":[196],"effective.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}