{"id":"https://openalex.org/W4401863689","doi":"https://doi.org/10.1145/3637528.3671641","title":"DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation","display_name":"DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863689","doi":"https://doi.org/10.1145/3637528.3671641"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671641","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671641","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671641","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671641","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021145541","display_name":"Qilong Zhao","orcid":"https://orcid.org/0000-0003-2812-6505"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qilong Zhao","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109768936","display_name":"Yifei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifei Zhang","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113087361","display_name":"Mengdan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengdan Zhu","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054269521","display_name":"Siyi Gu","orcid":"https://orcid.org/0009-0008-6306-5684"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]},{"id":"https://openalex.org/I1743320","display_name":"Palo Alto University","ror":"https://ror.org/04f812k67","country_code":"US","type":"education","lineage":["https://openalex.org/I1743320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyi Gu","raw_affiliation_strings":["Stanford University, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1743320","https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103189091","display_name":"Yuyang Gao","orcid":"https://orcid.org/0000-0002-8045-2001"},"institutions":[{"id":"https://openalex.org/I2799939184","display_name":"Home Depot (United States)","ror":"https://ror.org/031603425","country_code":"US","type":"company","lineage":["https://openalex.org/I2799939184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuyang Gao","raw_affiliation_strings":["The Home Depot, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"The Home Depot, Atlanta, GA, USA","institution_ids":["https://openalex.org/I2799939184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619090","display_name":"Xiaofeng Yang","orcid":"https://orcid.org/0000-0001-9023-5855"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033765170","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0003-3974-9206"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5021145541"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":1.0778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86045274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6335","last_page":"6343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"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":0.6776292324066162},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6433811187744141},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14724737405776978},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.06194153428077698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776292324066162},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6433811187744141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14724737405776978},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.06194153428077698}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671641","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671641","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671641","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3637528.3671641","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671641","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671641","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401863689.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1976526581","https://openalex.org/W2026905436","https://openalex.org/W2115457096","https://openalex.org/W2116823175","https://openalex.org/W2170269447","https://openalex.org/W2178629455","https://openalex.org/W2194775991","https://openalex.org/W2295355433","https://openalex.org/W2509384312","https://openalex.org/W2891503716","https://openalex.org/W2962858109","https://openalex.org/W2962934715","https://openalex.org/W2963749936","https://openalex.org/W2982210492","https://openalex.org/W4283703617","https://openalex.org/W4283824940","https://openalex.org/W4309619902","https://openalex.org/W4385562550","https://openalex.org/W4385804842","https://openalex.org/W4390873044"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4211215373","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W3217094455","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2989589450"],"abstract_inverted_index":{"Explanation":[0,92],"supervision":[1,36,93,102],"aims":[2],"to":[3,12,37],"enhance":[4],"deep":[5,148],"learning":[6,149],"models":[7,150],"by":[8],"integrating":[9],"additional":[10,60],"signals":[11],"guide":[13],"the":[14,24,29,32,56,81,136,143,152],"generation":[15],"of":[16,28,34,58,69,80,138,147,154],"model":[17],"explanations,":[18],"showcasing":[19],"notable":[20],"improvements":[21],"in":[22,55,141,151],"both":[23],"predictability":[25,144],"and":[26,73,145],"explainability":[27,146],"model.":[30],"However,":[31],"application":[33],"explanation":[35,101,106],"higher-dimensional":[38],"data,":[39],"such":[40],"as":[41],"3D":[42,71,100,113,117],"medical":[43,130,155],"images,":[44],"remains":[45],"an":[46,59],"under-explored":[47],"domain.":[48],"Challenges":[49],"associated":[50],"with":[51,110,115],"supervising":[52],"visual":[53],"explanations":[54],"presence":[57],"dimension":[61],"include:":[62],"1)":[63],"spatial":[64],"correlation":[65],"changed,":[66],"2)":[67],"lack":[68],"direct":[70],"annotations,":[72],"3)":[74],"uncertainty":[75],"varies":[76],"across":[77],"different":[78],"parts":[79],"explanation.":[82],"To":[83],"address":[84],"these":[85],"challenges,":[86],"we":[87],"propose":[88],"a":[89],"Dynamic":[90],"Uncertainty-aware":[91],"(DUE\\footnoteCode":[94],"available":[95],"at:":[96],"https://github.com/AlexQilong/DUE.)":[97],"framework":[98,121,140],"for":[99],"that":[103],"ensures":[104],"uncertainty-aware":[105],"guidance":[107],"when":[108],"dealing":[109],"sparsely":[111],"annotated":[112],"data":[114],"diffusion-based":[116],"interpolation.":[118],"Our":[119],"proposed":[120],"is":[122],"validated":[123],"through":[124],"comprehensive":[125],"experiments":[126],"on":[127],"diverse":[128],"real-world":[129],"imaging":[131,156],"datasets.":[132],"The":[133],"results":[134],"demonstrate":[135],"effectiveness":[137],"our":[139],"enhancing":[142],"context":[153],"diagnosis":[157],"applications.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
