{"id":"https://openalex.org/W4391759498","doi":"https://doi.org/10.1109/tmi.2024.3364240","title":"A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation","display_name":"A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation","publication_year":2024,"publication_date":"2024-02-12","ids":{"openalex":"https://openalex.org/W4391759498","doi":"https://doi.org/10.1109/tmi.2024.3364240","pmid":"https://pubmed.ncbi.nlm.nih.gov/38345948"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3364240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3364240","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100728040","display_name":"Kang Li","orcid":"https://orcid.org/0000-0002-0149-6912"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Li","raw_affiliation_strings":["Department of Computer Science and Engineering and the Institute of Medical Intelligence and XR, The Chinese University of Hong Kong, Hong Kong, SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering and the Institute of Medical Intelligence and XR, The Chinese University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112890006","display_name":"Yu Zhu","orcid":"https://orcid.org/0009-0006-6480-8924"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, SAR"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012581106","display_name":"Lequan Yu","orcid":"https://orcid.org/0000-0002-9315-6527"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lequan Yu","raw_affiliation_strings":["Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, SAR"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032708386","display_name":"Pheng\u2010Ann Heng","orcid":"https://orcid.org/0000-0003-3055-5034"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pheng-Ann Heng","raw_affiliation_strings":["Department of Computer Science and Engineering and the Institute of Medical Intelligence and XR, The Chinese University of Hong Kong, Hong Kong, SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering and the Institute of Medical Intelligence and XR, The Chinese University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100728040"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":3.8881,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93360328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"43","issue":"6","first_page":"2279","last_page":"2290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9746999740600586,"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/computer-science","display_name":"Computer science","score":0.7124971747398376},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6183339953422546},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5864934921264648},{"id":"https://openalex.org/keywords/upgrade","display_name":"Upgrade","score":0.5348260402679443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5033635497093201},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46908655762672424},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4525562524795532},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4464932978153229},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.42958804965019226},{"id":"https://openalex.org/keywords/applicability-domain","display_name":"Applicability domain","score":0.4283842444419861},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40202662348747253},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3353402018547058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11164763569831848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124971747398376},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6183339953422546},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5864934921264648},{"id":"https://openalex.org/C2780615140","wikidata":"https://www.wikidata.org/wiki/Q920419","display_name":"Upgrade","level":2,"score":0.5348260402679443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033635497093201},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46908655762672424},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4525562524795532},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4464932978153229},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.42958804965019226},{"id":"https://openalex.org/C107908354","wikidata":"https://www.wikidata.org/wiki/Q4781456","display_name":"Applicability domain","level":3,"score":0.4283842444419861},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40202662348747253},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3353402018547058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11164763569831848},{"id":"https://openalex.org/C164126121","wikidata":"https://www.wikidata.org/wiki/Q766383","display_name":"Quantitative structure\u2013activity relationship","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2024.3364240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3364240","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:38345948","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38345948","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:hub.hku.hk:10722/345596","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/345596","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4893727646","display_name":null,"funder_award_id":"T45-401/22-N","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1970928383","https://openalex.org/W1987971958","https://openalex.org/W2058323939","https://openalex.org/W2473930607","https://openalex.org/W2525945566","https://openalex.org/W2612566375","https://openalex.org/W2786498526","https://openalex.org/W2791091755","https://openalex.org/W2804047627","https://openalex.org/W2899619773","https://openalex.org/W2922466325","https://openalex.org/W2963072899","https://openalex.org/W2963073614","https://openalex.org/W2963540014","https://openalex.org/W2964189064","https://openalex.org/W3000640519","https://openalex.org/W3004519034","https://openalex.org/W3004531689","https://openalex.org/W3009563704","https://openalex.org/W3095806163","https://openalex.org/W3099805905","https://openalex.org/W3172614365","https://openalex.org/W3173397338","https://openalex.org/W3179371357","https://openalex.org/W3180392831","https://openalex.org/W3187986157","https://openalex.org/W3203473630","https://openalex.org/W3204071213","https://openalex.org/W4220721049","https://openalex.org/W4231870048","https://openalex.org/W4283808136","https://openalex.org/W4288099568","https://openalex.org/W4295936673","https://openalex.org/W4301393262","https://openalex.org/W4312210066","https://openalex.org/W4312231739","https://openalex.org/W4320721692","https://openalex.org/W4386152544","https://openalex.org/W6628877408","https://openalex.org/W6738602802","https://openalex.org/W6741087337","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6748453352","https://openalex.org/W6755715394","https://openalex.org/W6760883817","https://openalex.org/W6761469101","https://openalex.org/W6767674130","https://openalex.org/W6780069234","https://openalex.org/W6785403201","https://openalex.org/W6789305514","https://openalex.org/W6796806396","https://openalex.org/W6802544226","https://openalex.org/W6810737565","https://openalex.org/W6841536812"],"related_works":["https://openalex.org/W2368672678","https://openalex.org/W2370626080","https://openalex.org/W2965111880","https://openalex.org/W2368576029","https://openalex.org/W2377210208","https://openalex.org/W116478885","https://openalex.org/W2391279445","https://openalex.org/W2390420166","https://openalex.org/W2354998446","https://openalex.org/W2378085033"],"abstract_inverted_index":{"Upon":[0],"remarkable":[1],"progress":[2],"in":[3,66,74,161,168,183],"cardiac":[4],"image":[5],"segmentation,":[6],"contemporary":[7],"studies":[8],"dedicate":[9],"to":[10,85,100,115,130,147,163,200],"further":[11],"upgrading":[12],"model":[13,58,88,132,166],"functionality":[14],"toward":[15],"perfection,":[16],"through":[17],"progressively":[18,135],"exploring":[19],"the":[20,36,42,50,56,61,75,102,119,126,139,150,178,201],"sequentially":[21],"delivered":[22],"datasets":[23,182],"over":[24,153],"time":[25],"by":[26,134],"domain":[27],"incremental":[28,187],"learning.":[29],"Existing":[30],"works":[31],"mainly":[32],"concentrated":[33],"on":[34],"addressing":[35],"heterogeneous":[37],"style":[38],"variations,":[39],"but":[40,69],"overlooked":[41],"critical":[43],"shape":[44,103,111,123],"variations":[45],"across":[46],"domains":[47,68],"hidden":[48],"behind":[49],"sub-disease":[51],"composition":[52,104],"discrepancy.":[53],"In":[54],"case":[55],"updated":[57],"catastrophically":[59],"forgets":[60],"sub-diseases":[62],"that":[63],"were":[64],"learned":[65],"past":[67],"are":[70],"no":[71],"longer":[72],"present":[73],"subsequent":[76],"domains,":[77],"we":[78],"proposed":[79],"a":[80,91,143],"dual":[81],"enrichment":[82],"synergistic":[83],"strategy":[84],"incrementally":[86],"broaden":[87],"competence":[89],"for":[90],"growing":[92],"number":[93],"of":[94,105],"sub-diseases.":[95],"The":[96,156],"data-enriched":[97],"scheme":[98,128],"aims":[99],"diversify":[101],"current":[106],"training":[107],"data":[108],"via":[109],"displacement-aware":[110],"encoding":[112],"and":[113,137,180,185,196],"decoding,":[114],"gradually":[116,148],"build":[117],"up":[118],"robustness":[120],"against":[121],"cross-domain":[122],"variations.":[124],"Meanwhile,":[125],"model-enriched":[127],"intends":[129],"strengthen":[131],"capabilities":[133,167],"appending":[136],"consolidating":[138],"latest":[140],"expertise":[141],"into":[142],"dynamically-expanded":[144],"multi-expert":[145],"network,":[146],"cultivate":[149],"generalization":[151],"ability":[152],"style-variated":[154],"domains.":[155],"above":[157],"two":[158],"schemes":[159],"work":[160],"synergy":[162],"collaboratively":[164],"upgrade":[165],"two-pronged":[169],"manners.":[170],"We":[171],"have":[172],"extensively":[173],"evaluated":[174],"our":[175],"network":[176],"with":[177],"ACDC":[179],"M&Ms":[181],"single-domain":[184],"compound-domain":[186],"learning":[188],"settings.":[189],"Our":[190],"approach":[191],"outperformed":[192],"other":[193],"competing":[194],"methods":[195],"achieved":[197],"comparable":[198],"results":[199],"upper":[202],"bound.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
