{"id":"https://openalex.org/W4360765020","doi":"https://doi.org/10.1109/asonam55673.2022.10068580","title":"Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup","display_name":"Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4360765020","doi":"https://doi.org/10.1109/asonam55673.2022.10068580"},"language":"en","primary_location":{"id":"doi:10.1109/asonam55673.2022.10068580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam55673.2022.10068580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"article","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/A5101960707","display_name":"Huimin Zeng","orcid":"https://orcid.org/0000-0003-0198-2352"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huimin Zeng","raw_affiliation_strings":["School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048013870","display_name":"Zhenrui Yue","orcid":"https://orcid.org/0000-0002-0309-2065"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenrui Yue","raw_affiliation_strings":["School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045401193","display_name":"Ziyi Kou","orcid":"https://orcid.org/0000-0002-9916-0930"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyi Kou","raw_affiliation_strings":["School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074191748","display_name":"Lanyu Shang","orcid":"https://orcid.org/0000-0002-7480-6889"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lanyu Shang","raw_affiliation_strings":["School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354592","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-8135-369X"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["University of Notre Dame,Department of Computer Science and Engineering,IN,USA","Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Department of Computer Science and Engineering,IN,USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois,Urbana-Champaign,IL,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101960707"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.274,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90337316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11581","display_name":"Viral Infections and Outbreaks Research","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9660000205039978,"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":0.7929151058197021},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6840158700942993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621504545211792},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6023960113525391},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6011987328529358},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5355747938156128},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.5007123947143555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4857807457447052},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.41724342107772827},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.08399632573127747},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07667160034179688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0752352774143219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929151058197021},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6840158700942993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621504545211792},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6023960113525391},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6011987328529358},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5355747938156128},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.5007123947143555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4857807457447052},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.41724342107772827},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.08399632573127747},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07667160034179688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0752352774143219},{"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:10.1109/asonam55673.2022.10068580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam55673.2022.10068580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G4404859348","display_name":null,"funder_award_id":"IIS-2202481,CHE-2105005,IIS-2008228,CNS-1845639,CNS-1831669","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2770039499","https://openalex.org/W2963416784","https://openalex.org/W2965373594","https://openalex.org/W2984402309","https://openalex.org/W2997310315","https://openalex.org/W3031781733","https://openalex.org/W3035431747","https://openalex.org/W3037355691","https://openalex.org/W3098106685","https://openalex.org/W3099727075","https://openalex.org/W3100083965","https://openalex.org/W3165299977","https://openalex.org/W3174673808","https://openalex.org/W3175183722","https://openalex.org/W3197907569","https://openalex.org/W4200192202","https://openalex.org/W4285602186","https://openalex.org/W4293846201","https://openalex.org/W4306317398","https://openalex.org/W6739868092"],"related_works":["https://openalex.org/W3197131596","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W4225301003","https://openalex.org/W4283459170","https://openalex.org/W4283211831","https://openalex.org/W2798287483","https://openalex.org/W3095487414","https://openalex.org/W2901026139"],"abstract_inverted_index":{"In":[0,69],"the":[1,12,15,25,29,33,55,64,73,76,80,100,113,117,127,147,157],"real-world":[2,134],"application":[3],"of":[4,14,24,32,102,116],"COVID-19":[5,66,149],"misinformation":[6,143],"detection,":[7],"a":[8,86],"fundamental":[9],"challenge":[10],"is":[11],"lack":[13],"labeled":[16],"COVID":[17],"data":[18,61,67],"to":[19,53,63,71,106,146,156],"enable":[20],"supervised":[21],"end-to-end":[22],"training":[23,128],"models,":[26],"especially":[27],"at":[28],"early":[30],"stage":[31],"pandemic.":[34],"To":[35],"address":[36],"this":[37],"challenge,":[38],"we":[39,98],"propose":[40],"an":[41,58,108],"unsupervised":[42],"domain":[43,51,62,78,103,110,151],"adaptation":[44],"framework":[45],"using":[46],"contrastive":[47],"learning":[48],"and":[49,79],"adversarial":[50,104],"mixup":[52],"transfer":[54],"knowledge":[56],"from":[57,120],"existing":[59],"source":[60,77],"target":[65,81,150],"domain.":[68],"particular,":[70],"bridge":[72],"gap":[74],"between":[75,93],"domain,":[82],"our":[83,138],"method":[84,139],"reduces":[85],"radial":[87],"basis":[88],"function":[89],"(RBF)":[90],"based":[91],"discrepancy":[92],"these":[94],"two":[95],"domains.":[96],"Moreover,":[97],"leverage":[99],"power":[101],"examples":[105],"establish":[107],"intermediate":[109],"mixup,":[111],"where":[112],"latent":[114],"representations":[115],"input":[118],"text":[119],"both":[121],"domains":[122],"could":[123],"be":[124],"mixed":[125],"during":[126],"process.":[129],"Extensive":[130],"experiments":[131],"on":[132],"multiple":[133],"datasets":[135],"suggest":[136],"that":[137],"can":[140],"effectively":[141],"adapt":[142],"detection":[144],"systems":[145],"unseen":[148],"with":[152],"significant":[153],"improvements":[154],"compared":[155],"state-of-the-art":[158],"baselines.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
