{"id":"https://openalex.org/W4414360282","doi":"https://doi.org/10.24963/ijcai.2025/718","title":"Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering","display_name":"Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360282","doi":"https://doi.org/10.24963/ijcai.2025/718"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/718","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/718","pdf_url":"https://www.ijcai.org/proceedings/2025/0718.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2025/0718.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102218959","display_name":"Xinxin Wang","orcid":"https://orcid.org/0009-0000-6065-7651"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xinxin Wang","raw_affiliation_strings":["University of Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038549098","display_name":"Yongshan Zhang","orcid":"https://orcid.org/0000-0001-5817-1732"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongshan Zhang","raw_affiliation_strings":["China University of Geosciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Geosciences","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009595085","display_name":"Yicong Zhou","orcid":"https://orcid.org/0000-0002-4487-6384"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yicong Zhou","raw_affiliation_strings":["University of Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3825,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83410033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6451","last_page":"6459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.96670001745224,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.96670001745224,"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/T11106","display_name":"Data Management and Algorithms","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7348999977111816},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7251999974250793},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7160999774932861},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.578000009059906},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4787999987602234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4336000084877014},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.3962000012397766},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.30300000309944153},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.2985000014305115}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7348999977111816},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7251999974250793},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7160999774932861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455000042915344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6104000210762024},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4787999987602234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749999940395355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3637000024318695},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.29190000891685486},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/718","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/718","pdf_url":"https://www.ijcai.org/proceedings/2025/0718.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2025/718","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/718","pdf_url":"https://www.ijcai.org/proceedings/2025/0718.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G180185047","display_name":null,"funder_award_id":"GRG2024","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G984318816","display_name":null,"funder_award_id":"MYRG-GRG2024-00181-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320311133","display_name":"United Mitochondrial Disease Foundation","ror":"https://ror.org/0528q0t18"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414360282.pdf","grobid_xml":"https://content.openalex.org/works/W4414360282.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Anchor-based":[0,61,73],"incomplete":[1],"multi-view":[2],"clustering":[3,9,69],"methods":[4,33],"utilize":[5],"anchors":[6,38,131],"to":[7,25,118,132,172],"uncover":[8],"structures.":[10],"However,":[11],"relying":[12],"on":[13,113,159,163],"anchor":[14,93],"graphs":[15],"for":[16,39,67,80],"producing":[17],"final":[18],"indicators":[19],"is":[20,181],"indirect,":[21],"which":[22],"can":[23],"lead":[24],"information":[26,158],"loss":[27],"and":[28,53,71,95,143,152,175],"suboptimal":[29],"outcomes.":[30],"Besides,":[31],"most":[32],"neglect":[34],"the":[35,60,72,91,114,125,141,154,167],"potential":[36],"of":[37,156,169],"imputing":[40],"missing":[41,82,134,157],"views.":[42,83,123,138],"To":[43],"address":[44],"these":[45],"limitations,":[46],"we":[47],"propose":[48],"a":[49,100,104],"Joint":[50],"View":[51],"Imputation":[52],"Label":[54,63],"Generation":[55,64],"(JVILG)":[56],"method.":[57],"JVILG":[58,146,170],"comprises":[59],"tensorized":[62],"(ALG)":[65],"module":[66,79,86,127],"generating":[68],"labels":[70],"sparse":[74],"regularized":[75],"Subspace":[76],"Correlation":[77],"(ASC)":[78],"recovering":[81],"The":[84],"ALG":[85,142],"explicitly":[87],"connects":[88],"data":[89,135],"observations,":[90],"fine-grained":[92,130],"matrix,":[94,106],"soft":[96],"label":[97,116],"matrices":[98],"within":[99],"reconstruction":[101],"framework":[102],"through":[103],"membership":[105],"while":[107],"imposing":[108],"tensor":[109,117],"Schatten":[110],"p-norm":[111],"regularization":[112],"constructed":[115],"capture":[119],"spatial":[120],"correlations":[121],"among":[122],"Meanwhile,":[124],"ASC":[126,144],"directly":[128],"uses":[129],"impute":[133],"in":[136],"respective":[137],"By":[139],"integrating":[140],"modules,":[145],"enhances":[147],"synergy":[148],"between":[149],"different":[150],"tasks":[151],"mitigates":[153],"impact":[155],"clustering.":[160],"Experimental":[161],"results":[162],"six":[164],"datasets":[165],"demonstrate":[166],"effectiveness":[168],"compared":[171],"both":[173],"shallow":[174],"deep":[176],"state-of-the":[177],"art":[178],"methods.The":[179],"code":[180],"available":[182],"at":[183],"https://github.com/W-Xinxin/JVILG.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}