{"id":"https://openalex.org/W3162399999","doi":"https://doi.org/10.1109/icassp39728.2021.9413461","title":"Semi-Supervised Multimodal Image Translation for Missing Modality Imputation","display_name":"Semi-Supervised Multimodal Image Translation for Missing Modality Imputation","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3162399999","doi":"https://doi.org/10.1109/icassp39728.2021.9413461","mag":"3162399999"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101007145","display_name":"Wangbin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangbin Sun","raw_affiliation_strings":["Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069637938","display_name":"Fei Ma","orcid":"https://orcid.org/0000-0003-4906-6142"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ma","raw_affiliation_strings":["Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377934","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-2053-6393"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088293566","display_name":"Shao\u2010Lun Huang","orcid":"https://orcid.org/0000-0003-2827-4022"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Lun Huang","raw_affiliation_strings":["Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019716362","display_name":"Shiguang Ni","orcid":"https://orcid.org/0000-0002-4303-7386"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Ni","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China","Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351850","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-4394-2685"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4320","last_page":"4324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652345895767212},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7590594291687012},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.726606011390686},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7211546301841736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.688098669052124},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6428219079971313},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5775237083435059},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5342193245887756},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5064073801040649},{"id":"https://openalex.org/keywords/multimodal-learning","display_name":"Multimodal learning","score":0.4839085042476654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45675382018089294},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.41394370794296265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4076279103755951},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3743302524089813},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34608426690101624},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34286415576934814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652345895767212},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7590594291687012},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.726606011390686},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7211546301841736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.688098669052124},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6428219079971313},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5775237083435059},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5342193245887756},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5064073801040649},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.4839085042476654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45675382018089294},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.41394370794296265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4076279103755951},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3743302524089813},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34608426690101624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34286415576934814},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1797408175","https://openalex.org/W1883346539","https://openalex.org/W2103972604","https://openalex.org/W2133665775","https://openalex.org/W2146130798","https://openalex.org/W2150283722","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2598581049","https://openalex.org/W2619383789","https://openalex.org/W2741295496","https://openalex.org/W2768959015","https://openalex.org/W2809410879","https://openalex.org/W2909671931","https://openalex.org/W2951939904","https://openalex.org/W2962793481","https://openalex.org/W2962932373","https://openalex.org/W2963073614","https://openalex.org/W2963444790","https://openalex.org/W2963767133","https://openalex.org/W2963767194","https://openalex.org/W2963800363","https://openalex.org/W2963890275","https://openalex.org/W2976504920","https://openalex.org/W3003365835","https://openalex.org/W4288562516","https://openalex.org/W6639103823","https://openalex.org/W6682042988","https://openalex.org/W6702130928","https://openalex.org/W6729966448","https://openalex.org/W6735204497","https://openalex.org/W6745992979","https://openalex.org/W6750298367","https://openalex.org/W6758880176"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W4220775285","https://openalex.org/W4214497138","https://openalex.org/W4213225422","https://openalex.org/W3044458868","https://openalex.org/W2741295496","https://openalex.org/W2356428682","https://openalex.org/W2587789887","https://openalex.org/W3113961913","https://openalex.org/W3162399999"],"abstract_inverted_index":{"Missing":[0],"data":[1,44],"is":[2,118],"a":[3,13,93,107],"common":[4],"problem":[5,53],"in":[6,62,80],"multimodal":[7,18,43,97,132],"and":[8],"multi-view":[9],"learning.":[10],"It":[11],"raises":[12],"critical":[14],"challenge":[15],"for":[16,96],"most":[17],"algorithms,":[19],"which":[20,59],"are":[21,85],"unable":[22],"to":[23,38,65,87,120,126],"deal":[24],"with":[25,32,99],"incomplete":[26,127],"datasets.":[27,149],"Rather":[28],"than":[29],"discarding":[30],"entries":[31,83,125],"missing":[33,47,100],"modalities,":[34,117],"this":[35],"paper":[36],"aims":[37],"reconstruct":[39],"the":[40,51,77,88,114,147],"complete":[41,82,124],"image-based":[42],"by":[45],"imputing":[46],"modalities.":[48],"We":[49,91],"solve":[50],"imputation":[52],"as":[54,111,113],"an":[55],"image":[56,69],"translation":[57,70],"task,":[58],"transforms":[60],"images":[61],"one":[63],"domain":[64],"other":[66],"domains.":[67],"Existing":[68],"techniques":[71],"either":[72],"can":[73,143],"not":[74],"fully":[75],"utilize":[76],"information":[78],"contained":[79],"partially":[81],"or":[84],"limited":[86],"bimodal":[89],"situation.":[90],"propose":[92],"semi-supervised":[94],"algorithm":[95],"learning":[98],"data,":[101],"namely":[102],"Cyclic":[103],"Autoencoder":[104],"(CycAE).":[105],"Specifically,":[106],"novel":[108],"cyclical":[109],"structure,":[110],"well":[112],"correlation":[115],"among":[116],"integrated":[119],"leverage":[121],"info\u03c0nation":[122],"from":[123,146],"ones.":[128],"Experiments":[129],"on":[130],"two":[131],"datasets":[133],"show":[134],"that":[135],"our":[136],"model":[137],"outperforms":[138],"state-of-the-art":[139],"models.":[140],"Downstream":[141],"tasks":[142],"also":[144],"benefit":[145],"completed":[148]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}