{"id":"https://openalex.org/W2903836716","doi":"https://doi.org/10.1609/aaai.v33i01.33015652","title":"Deep Robust Unsupervised Multi-Modal Network","display_name":"Deep Robust Unsupervised Multi-Modal Network","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2903836716","doi":"https://doi.org/10.1609/aaai.v33i01.33015652","mag":"2903836716"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33015652","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015652","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4509/4387","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4509/4387","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Nanjing University"],"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007027098","display_name":"Yifeng Wu","orcid":"https://orcid.org/0000-0001-8572-1584"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Feng Wu","raw_affiliation_strings":["Nanjing University"],"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073912249","display_name":"De\u2010Chuan Zhan","orcid":"https://orcid.org/0000-0002-3533-2078"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Chuan Zhan","raw_affiliation_strings":["Nanjing University"],"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035541666","display_name":"Zhibin Liu","orcid":"https://orcid.org/0000-0002-8674-7281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi-Bin Liu","raw_affiliation_strings":["Tecent WXG"],"affiliations":[{"raw_affiliation_string":"Tecent WXG","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104044152","display_name":"Yuan Jiang","orcid":"https://orcid.org/0009-0009-8093-4826"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Jiang","raw_affiliation_strings":["Nanjing University"],"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100397616"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.2473,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.53779171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"33","issue":"01","first_page":"5652","last_page":"5659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9979000091552734,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7261239290237427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140325307846069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5738806128501892},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5445677042007446},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5264039039611816},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5202756524085999},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4778963327407837},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.4263211488723755},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.41764071583747864},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4131622016429901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4013511538505554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35306066274642944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1306138038635254}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7261239290237427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140325307846069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5738806128501892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5445677042007446},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5264039039611816},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5202756524085999},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4778963327407837},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.4263211488723755},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.41764071583747864},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4131622016429901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4013511538505554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35306066274642944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1306138038635254},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33015652","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015652","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4509/4387","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33015652","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015652","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4509/4387","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3408621527","display_name":null,"funder_award_id":"61773198, 61632004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5072222428","display_name":null,"funder_award_id":"61773198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7321968301","display_name":null,"funder_award_id":"6177319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863732217","display_name":null,"funder_award_id":"61632004","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903836716.pdf","grobid_xml":"https://content.openalex.org/works/W2903836716.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1505878979","https://openalex.org/W1523385540","https://openalex.org/W1879834137","https://openalex.org/W1883346539","https://openalex.org/W1931650235","https://openalex.org/W1964073652","https://openalex.org/W2006147162","https://openalex.org/W2007972815","https://openalex.org/W2013035813","https://openalex.org/W2021367230","https://openalex.org/W2042969131","https://openalex.org/W2100235303","https://openalex.org/W2106277773","https://openalex.org/W2145094598","https://openalex.org/W2155803963","https://openalex.org/W2181159407","https://openalex.org/W2184188583","https://openalex.org/W2194775991","https://openalex.org/W2266728343","https://openalex.org/W2282454905","https://openalex.org/W2295423552","https://openalex.org/W2398119937","https://openalex.org/W2428757121","https://openalex.org/W2466206531","https://openalex.org/W2546561608","https://openalex.org/W2609701267","https://openalex.org/W2618614294","https://openalex.org/W2807776204","https://openalex.org/W2963476860","https://openalex.org/W2963997020","https://openalex.org/W2997574889","https://openalex.org/W3004970274","https://openalex.org/W6631216910","https://openalex.org/W6639103823","https://openalex.org/W6651699784","https://openalex.org/W6682859755","https://openalex.org/W6685423869","https://openalex.org/W6686207219","https://openalex.org/W6693341220","https://openalex.org/W6697109910","https://openalex.org/W6717426986","https://openalex.org/W6729263905","https://openalex.org/W6738275367"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W627697492"],"abstract_inverted_index":{"In":[0,103],"real-world":[1,179],"applications,":[2,68],"data":[3,53,137],"are":[4,14,63],"often":[5,64],"with":[6,155],"multiple":[7],"modalities,":[8],"and":[9,57,69,93],"many":[10],"multi-modal":[11,27,61,89],"learning":[12,39,91],"approaches":[13],"proposed":[15,127,188],"for":[16,117,174],"integrating":[17],"the":[18,25,30,35,38,42,52,71,76,83,88,97,131,139,143,146,149,163,170,184],"information":[19,134],"from":[20,135],"different":[21,101],"sources.":[22],"Most":[23],"of":[24,37,186],"previous":[26],"methods":[28],"utilize":[29,130],"modal":[31,43],"consistency":[32],"to":[33,46,51],"reduce":[34],"complexity":[36],"problem,":[40],"therefore":[41],"completeness":[44],"needs":[45],"be":[47],"guaranteed.":[48],"However,":[49],"due":[50],"collection":[54],"failures,":[55],"self-deficiencies,":[56],"other":[58,147],"various":[59],"reasons,":[60],"instances":[62],"incomplete":[65],"in":[66,75,82,100],"real":[67,120],"have":[70],"inconsistent":[72,84,150],"anomalies":[73],"even":[74],"complete":[77],"instances,":[78],"which":[79],"jointly":[80],"result":[81],"problem.":[85],"These":[86],"degenerate":[87],"feature":[90,172],"performance,":[92],"will":[94],"finally":[95],"affect":[96],"generalization":[98],"abilities":[99],"tasks.":[102],"this":[104,119],"paper,":[105],"we":[106],"propose":[107],"a":[108,123],"novel":[109],"Deep":[110],"Robust":[111],"Unsupervised":[112],"Multi-modal":[113],"Network":[114],"structure":[115],"(DRUMN)":[116],"solving":[118],"problem":[121],"within":[122],"unified":[124],"framework.":[125],"The":[126],"DRUMN":[128,167],"can":[129,168],"extrinsic":[132],"heterogeneous":[133],"unlabeled":[136],"against":[138],"insufficiency":[140],"caused":[141],"by":[142],"incompleteness.":[144],"On":[145],"hand,":[148],"anomaly":[151],"issue":[152],"is":[153],"solved":[154],"an":[156],"adaptive":[157],"weighted":[158],"estimation,":[159],"rather":[160],"than":[161],"adjusting":[162],"complex":[164],"thresholds.":[165],"As":[166],"extract":[169],"discriminative":[171],"representations":[173],"each":[175],"modality,":[176],"experiments":[177],"on":[178],"multimodal":[180],"datasets":[181],"successfully":[182],"validate":[183],"effectiveness":[185],"our":[187],"method.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
