{"id":"https://openalex.org/W4408503356","doi":"https://doi.org/10.1145/3722557","title":"Interpretable Novel Target Discovery through Open-Set Domain Adaptation","display_name":"Interpretable Novel Target Discovery through Open-Set Domain Adaptation","publication_year":2025,"publication_date":"2025-03-17","ids":{"openalex":"https://openalex.org/W4408503356","doi":"https://doi.org/10.1145/3722557"},"language":"en","primary_location":{"id":"doi:10.1145/3722557","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722557","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3722557","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3722557","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025221749","display_name":"Taotao Jing","orcid":"https://orcid.org/0000-0001-7597-6532"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Taotao Jing","raw_affiliation_strings":["Department of Computer Science, Tulane University, New Orleans, Louisiana, USA","Department of Computer Science, Tulane University, USA"],"raw_orcid":"https://orcid.org/0000-0001-7597-6532","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tulane University, New Orleans, Louisiana, USA","institution_ids":["https://openalex.org/I114832834"]},{"raw_affiliation_string":"Department of Computer Science, Tulane University, USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103518177","display_name":"H. R. Xia","orcid":"https://orcid.org/0000-0001-7503-7586"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Xia","raw_affiliation_strings":["School of Cyber Science and Technology, Sun Yat-Sen University, Guangzhou, China","School of Cyber Science and Technology, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0001-7503-7586","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Cyber Science and Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086089915","display_name":"Hongfu Liu","orcid":"https://orcid.org/0000-0002-4261-8154"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongfu Liu","raw_affiliation_strings":["Michtom School of Computer Science, Brandeis University, Waltham, Massachusetts, USA","Michtom School of Computer Science, Brandeis University, USA"],"raw_orcid":"https://orcid.org/0000-0002-4261-8154","affiliations":[{"raw_affiliation_string":"Michtom School of Computer Science, Brandeis University, Waltham, Massachusetts, USA","institution_ids":["https://openalex.org/I6902469"]},{"raw_affiliation_string":"Michtom School of Computer Science, Brandeis University, USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083458247","display_name":"Zhengming Ding","orcid":"https://orcid.org/0000-0002-6994-5278"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengming Ding","raw_affiliation_strings":["Department of Computer Science, Tulane University, New Orleans, Louisiana, USA","Department of Computer Science, Tulane University, USA"],"raw_orcid":"https://orcid.org/0000-0002-6994-5278","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tulane University, New Orleans, Louisiana, USA","institution_ids":["https://openalex.org/I114832834"]},{"raw_affiliation_string":"Department of Computer Science, Tulane University, USA","institution_ids":["https://openalex.org/I114832834"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025221749"],"corresponding_institution_ids":["https://openalex.org/I114832834"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02106708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"5","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9966999888420105,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9965999722480774,"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":0.8752895593643188},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.47398272156715393},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4694746732711792},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4660917818546295},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.45088258385658264},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.44663190841674805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3431394398212433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34036701917648315},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08208581805229187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8752895593643188},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.47398272156715393},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4694746732711792},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4660917818546295},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.45088258385658264},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.44663190841674805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3431394398212433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34036701917648315},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08208581805229187},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3722557","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722557","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3722557","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3722557","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722557","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3722557","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1730172","display_name":null,"funder_award_id":"LEQSF(2022-25)-RD-A-22","funder_id":"https://openalex.org/F4320309392","funder_display_name":"Louisiana Board of Regents"}],"funders":[{"id":"https://openalex.org/F4320309392","display_name":"Louisiana Board of Regents","ror":"https://ror.org/00jv89z46"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408503356.pdf"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1849277567","https://openalex.org/W2108598243","https://openalex.org/W2153579005","https://openalex.org/W2165698076","https://openalex.org/W2186222003","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2395579298","https://openalex.org/W2400717490","https://openalex.org/W2405223529","https://openalex.org/W2418098761","https://openalex.org/W2475168403","https://openalex.org/W2520774990","https://openalex.org/W2596142952","https://openalex.org/W2606462007","https://openalex.org/W2773003563","https://openalex.org/W2779610669","https://openalex.org/W2798593490","https://openalex.org/W2811104224","https://openalex.org/W2885722640","https://openalex.org/W2895739182","https://openalex.org/W2897536120","https://openalex.org/W2899867883","https://openalex.org/W2937614441","https://openalex.org/W2945976633","https://openalex.org/W2948069880","https://openalex.org/W2948429981","https://openalex.org/W2962986791","https://openalex.org/W2963149653","https://openalex.org/W2963283377","https://openalex.org/W2963989815","https://openalex.org/W2964086552","https://openalex.org/W2964430164","https://openalex.org/W2970660048","https://openalex.org/W2979402357","https://openalex.org/W2979920800","https://openalex.org/W2980362438","https://openalex.org/W2981720610","https://openalex.org/W2990947836","https://openalex.org/W2998043922","https://openalex.org/W2998666297","https://openalex.org/W2998708909","https://openalex.org/W3000029975","https://openalex.org/W3000538487","https://openalex.org/W3002678554","https://openalex.org/W3034454087","https://openalex.org/W3035235949","https://openalex.org/W3035519852","https://openalex.org/W3041133507","https://openalex.org/W3089741414","https://openalex.org/W3093349296","https://openalex.org/W3095253761","https://openalex.org/W3096741441","https://openalex.org/W3097526063","https://openalex.org/W3099972666","https://openalex.org/W3108225721","https://openalex.org/W3109728025","https://openalex.org/W3109994846","https://openalex.org/W3110214837","https://openalex.org/W3113432867","https://openalex.org/W3143107425","https://openalex.org/W3158065459","https://openalex.org/W3167738759","https://openalex.org/W3172748299","https://openalex.org/W3172917901","https://openalex.org/W3175314453","https://openalex.org/W3194427711","https://openalex.org/W3215928733","https://openalex.org/W4229494842","https://openalex.org/W4281260451","https://openalex.org/W4283012013","https://openalex.org/W4297752781","https://openalex.org/W4366603647","https://openalex.org/W4386071494","https://openalex.org/W4393144927","https://openalex.org/W6682222085"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Open-set":[0],"domain":[1,7,14,88,138],"adaptation":[2,8,139],"(OSDA)":[3],"considers":[4],"a":[5,75,153],"special":[6],"problem":[9],"in":[10,21,67,85,198,205],"which":[11,104,131],"the":[12,22,56,82,86,92,96,116,135,141,159,165,202],"target":[13,87],"contains":[15],"novel":[16,36,50,76,206],"categories":[17,37,51,66,84,98,161,184,187],"that":[18],"never":[19],"appear":[20],"well-labeled":[23],"source":[24,233],"domain.":[25],"Unfortunately,":[26],"prior":[27],"efforts":[28],"on":[29],"OSDA":[30],"simply":[31],"detect":[32],"and":[33,60,89,101,125,140,157,207,212,222],"recognize":[34],"all":[35],"as":[38,108,152],"one":[39],"\u201cunknown\u201d":[40],"group":[41],"without":[42],"further":[43],"exploration.":[44],"The":[45,171],"demand":[46],"for":[47],"exploring":[48],"these":[49],"prompts":[52],"us":[53],"to":[54,79,107,178,185,200,219],"consider":[55],"underlying":[57],"multi-class":[58],"structure":[59],"semantic":[61,93,128,173,223],"description":[62],"of":[63,95,137,143,155,167,215],"those":[64],"unknown":[65],"more":[68],"detail.":[69],"In":[70],"this":[71],"article,":[72],"we":[73],"propose":[74],"interpretable":[77,129],"framework":[78,118,204],"accurately":[80],"identify":[81],"seen":[83,183],"effectively":[90],"recover":[91],"knowledge":[94],"unseen":[97,186],"with":[99,164],"attributes":[100,174],"visual":[102],"interpretations,":[103],"is":[105,150,176,235],"referred":[106],"Semantic":[109],"Recovery":[110],"Open-Set":[111],"Domain":[112],"Adaptation":[113],"(SR-OSDA).":[114],"Specifically,":[115],"proposed":[117,203,217],"includes":[119],"an":[120,126],"explicit":[121],"attribute":[122],"explainable":[123],"module":[124],"implicit":[127],"module,":[130],"provide":[132,179],"insight":[133],"into":[134],"process":[136],"discovery":[142],"new":[144,192],"categories.":[145],"Furthermore,":[146],"structure-preserving":[147],"partial":[148],"alignment":[149],"developed":[151],"method":[154],"recognizing":[156],"aligning":[158],"visible":[160],"across":[162],"domains":[163],"aid":[166],"domain-invariant":[168],"feature":[169],"learning.":[170],"visual-structural":[172],"propagation":[175],"designed":[177],"smooth":[180],"transitions":[181],"from":[182],"via":[188],"visual-semantic":[189],"mapping.":[190],"Three":[191],"cross-domain":[193],"SR-OSDA":[194],"benchmarks":[195],"are":[196],"constructed":[197],"order":[199],"evaluate":[201],"practical":[208],"challenges.":[209],"Experimental":[210],"results":[211],"empirical":[213],"analysis":[214],"our":[216],"solution":[218],"open-set":[220],"recognition":[221],"recovery":[224],"demonstrate":[225],"its":[226],"superiority":[227],"over":[228],"other":[229],"state-of-the-art":[230],"solutions.":[231],"Our":[232],"code":[234],"available":[236],"at":[237],"https://github.com/scottjingtt/XSROSDA":[238],".":[239]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
