{"id":"https://openalex.org/W4401807691","doi":"https://doi.org/10.1109/tnnls.2024.3442236","title":"<i>StaRS</i> : Learning a Stable Representation Space for Continual Relation Classification","display_name":"<i>StaRS</i> : Learning a Stable Representation Space for Continual Relation Classification","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4401807691","doi":"https://doi.org/10.1109/tnnls.2024.3442236","pmid":"https://pubmed.ncbi.nlm.nih.gov/39178074"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3442236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3442236","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/A5102940051","display_name":"Ning Pang","orcid":"https://orcid.org/0000-0002-9870-6751"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Pang","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039575548","display_name":"Weixin Zeng","orcid":"https://orcid.org/0000-0002-2690-3190"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixin Zeng","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2690-3190","affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060371329","display_name":"Zhen Tan","orcid":"https://orcid.org/0000-0001-8643-4683"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tan","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8643-4683","affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103101985","display_name":"Weidong Xiao","orcid":"https://orcid.org/0000-0003-1004-7809"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Xiao","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.1114,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81105949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"36","issue":"5","first_page":"9670","last_page":"9683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9157000184059143,"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/T10028","display_name":"Topic Modeling","score":0.9157000184059143,"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/relation","display_name":"Relation (database)","score":0.7338640689849854},{"id":"https://openalex.org/keywords/stars","display_name":"Stars","score":0.6521397233009338},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5855363011360168},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5771418809890747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4913908541202545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4744071662425995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1417064070701599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06885719299316406}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7338640689849854},{"id":"https://openalex.org/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"score":0.6521397233009338},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5855363011360168},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5771418809890747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4913908541202545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4744071662425995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1417064070701599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06885719299316406},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3442236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3442236","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:39178074","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39178074","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G1799500167","display_name":null,"funder_award_id":"62302513","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3188578225","display_name":null,"funder_award_id":"U23A20296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8218347068","display_name":null,"funder_award_id":"62272469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8366343479","display_name":null,"funder_award_id":"2022YFB3103600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8814875648","display_name":null,"funder_award_id":"72371245","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2030408698","https://openalex.org/W2059933135","https://openalex.org/W2060277733","https://openalex.org/W2120814856","https://openalex.org/W2147810216","https://openalex.org/W2251135946","https://openalex.org/W2788031953","https://openalex.org/W2892094955","https://openalex.org/W2896457183","https://openalex.org/W2945383715","https://openalex.org/W2963733234","https://openalex.org/W2963777632","https://openalex.org/W2963788399","https://openalex.org/W2964022985","https://openalex.org/W2964189064","https://openalex.org/W3035691277","https://openalex.org/W3153427360","https://openalex.org/W3174091926","https://openalex.org/W3175362188","https://openalex.org/W3194836374","https://openalex.org/W4221144220","https://openalex.org/W4225908005","https://openalex.org/W4292264469","https://openalex.org/W4309811444","https://openalex.org/W4320351890","https://openalex.org/W4385571156","https://openalex.org/W4385571316","https://openalex.org/W4385571646","https://openalex.org/W4385571956","https://openalex.org/W4385572992","https://openalex.org/W6639364127","https://openalex.org/W6685444988","https://openalex.org/W6691723933","https://openalex.org/W6732467815","https://openalex.org/W6741087337","https://openalex.org/W6764645560","https://openalex.org/W6787563725","https://openalex.org/W6842626157","https://openalex.org/W6845975888","https://openalex.org/W6849896277","https://openalex.org/W7061052158"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W120075840","https://openalex.org/W2157140558","https://openalex.org/W182374993","https://openalex.org/W2378782423","https://openalex.org/W2326808910","https://openalex.org/W3017839092","https://openalex.org/W2044702560","https://openalex.org/W2887397322"],"abstract_inverted_index":{"Relation":[0],"classification":[1],"(RC)":[2],"aims":[3],"to":[4,29,40,67,83,108,136,146,170,187,193],"detect":[5],"the":[6,30,49,85,94,102,109,115,138,141,152,201,213],"semantic":[7],"relation":[8],"between":[9],"two":[10,182],"annotated":[11],"entities":[12],"in":[13,23,44,53,60,114,151,181,209,224],"a":[14,37,61,126,132,156,166,173,189],"piece":[15],"of":[16,32,88,111,140,159,203],"sentence,":[17],"serving":[18],"as":[19],"an":[20],"essential":[21],"task":[22],"automatic":[24],"knowledge":[25,127],"graph":[26],"construction.":[27],"Due":[28],"emergence":[31],"new":[33,147],"relations,":[34,69],"there":[35],"is":[36,58,186],"recent":[38],"trend":[39],"train":[41],"RC":[42,90,142],"models":[43,92],"continual":[45,54,89],"settings.":[46],"To":[47,119],"overcome":[48],"catastrophic":[50],"forgetting":[51,86],"problem":[52,87],"learning,":[55],"existing":[56],"research":[57],"devoted":[59],"two-stage":[62],"training":[63,180],"paradigm,":[64],"fast":[65,116],"adaptation":[66,117,145],"novel":[68],"and":[70,130,212],"memory":[71,95,161],"replay":[72,96],"for":[73,177,196],"all":[74],"historical":[75],"relations.":[76,148],"These":[77],"memory-replay-based":[78],"methods":[79,208],"explore":[80],"different":[81],"techniques":[82],"mitigate":[84],"(CRC)":[91],"during":[93,144],"stage.":[97],"However,":[98],"we":[99,123,164],"find":[100],"that":[101,216],"representation":[103,191],"space":[104,192],"undergoes":[105],"distortion":[106],"due":[107],"incoming":[110],"fresh":[112],"relations":[113],"phase.":[118],"address":[120],"this":[121],"issue,":[122],"propose":[124],"using":[125],"distillation":[128],"strategy":[129],"designing":[131],"margin":[133],"loss,":[134],"aiming":[135],"maintain":[137],"stability":[139],"model":[143,205],"In":[149],"addition,":[150],"second":[153],"stage,":[154],"with":[155],"limited":[157],"number":[158],"typical":[160],"instances":[162,195],"available,":[163],"introduce":[165],"self-contrastive":[167],"learning":[168,172],"objective":[169,185],"facilitate":[171],"balanced":[174],"decision":[175],"boundary":[176],"RC.":[178],"Through":[179],"stages,":[183],"our":[184,204,217],"acquire":[188],"stable":[190],"encode":[194],"CRC.":[197,225],"We":[198],"experimentally":[199],"demonstrate":[200],"superiority":[202],"over":[206],"competing":[207],"various":[210],"settings,":[211],"results":[214],"suggest":[215],"tailored":[218],"designs":[219],"can":[220],"achieve":[221],"better":[222],"performance":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
