{"id":"https://openalex.org/W4400723015","doi":"https://doi.org/10.1016/j.neunet.2024.106553","title":"Pre-gating and contextual attention gate \u2014 A new fusion method for multi-modal data tasks","display_name":"Pre-gating and contextual attention gate \u2014 A new fusion method for multi-modal data tasks","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4400723015","doi":"https://doi.org/10.1016/j.neunet.2024.106553","pmid":"https://pubmed.ncbi.nlm.nih.gov/39053303"},"language":"en","primary_location":{"id":"doi:10.1016/j.neunet.2024.106553","doi":"https://doi.org/10.1016/j.neunet.2024.106553","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neunet.2024.106553","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","doyens","erih-plus","jufo-3","ki-jl-1","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.neunet.2024.106553","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035252440","display_name":"Duoyi Zhang","orcid":"https://orcid.org/0000-0002-5094-2288","observed_orcids":["https://orcid.org/0000-0002-5094-2288"]},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Duoyi Zhang","raw_affiliation_strings":["Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia. Electronic address: duoyi.zhang@hdr.qut.edu.au","Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5094-2288","affiliations":[{"raw_affiliation_string":"Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia. Electronic address: duoyi.zhang@hdr.qut.edu.au","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015158048","display_name":"Richi Nayak","orcid":"https://orcid.org/0000-0002-9954-0159","observed_orcids":["https://orcid.org/0000-0002-9954-0159"]},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richi Nayak","raw_affiliation_strings":["Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia. Electronic address: r.nayak@qut.edu.au","Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9954-0159","affiliations":[{"raw_affiliation_string":"Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia. Electronic address: r.nayak@qut.edu.au","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014860744","display_name":"Md Abul Bashar","orcid":"https://orcid.org/0000-0003-1004-4085","observed_orcids":["https://orcid.org/0000-0003-1004-4085"]},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Abul Bashar","raw_affiliation_strings":["Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia. Electronic address: m1.bashar@qut.edu.au","Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1004-4085","affiliations":[{"raw_affiliation_string":"Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia. Electronic address: m1.bashar@qut.edu.au","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Centre for Data Science, School of Computer Science, Queensland University of Technology, 4000, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035252440"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":{"value":3350,"currency":"USD","value_usd":3350},"fwci":4.1233,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95781919,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"179","issue":null,"first_page":"106553","last_page":"106553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T12032","display_name":"Multisensory perception and integration","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.8809999823570251},{"id":"https://openalex.org/keywords/cross-modal-attention","display_name":"cross-modal attention","score":0.578000009059906},{"id":"https://openalex.org/keywords/gating-mechanism","display_name":"gating mechanism","score":0.8339999914169312},{"id":"https://openalex.org/keywords/cross-modal-interaction","display_name":"cross-modal interaction","score":0.6320000290870667},{"id":"https://openalex.org/keywords/uncertainty-reduction","display_name":"uncertainty reduction","score":0.7210000157356262},{"id":"https://openalex.org/keywords/multimodal-representation-learning","display_name":"multimodal representation learning","score":0.9100000262260437},{"id":"https://openalex.org/keywords/multimodal-classification","display_name":"multimodal classification","score":0.9010000228881836}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7323288321495056},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.641977071762085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5974035263061523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5793987512588501},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.5267224311828613},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5056262016296387},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4576221704483032},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4191198945045471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39849352836608887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39191675186157227},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1016/j.neunet.2024.106553","doi":"https://doi.org/10.1016/j.neunet.2024.106553","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neunet.2024.106553","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","doyens","erih-plus","jufo-3","ki-jl-1","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},{"id":"pmid:39053303","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39053303","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,"listed_in":[],"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":"Neural networks : the official journal of the International Neural Network Society","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1016/j.neunet.2024.106553","doi":"https://doi.org/10.1016/j.neunet.2024.106553","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neunet.2024.106553","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","doyens","erih-plus","jufo-3","ki-jl-1","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2150884987","https://openalex.org/W2593831809","https://openalex.org/W2619383789","https://openalex.org/W2626778328","https://openalex.org/W2738581557","https://openalex.org/W2787873795","https://openalex.org/W2798683079","https://openalex.org/W2911840101","https://openalex.org/W2941531368","https://openalex.org/W2948972794","https://openalex.org/W2951937667","https://openalex.org/W2954861253","https://openalex.org/W2985076077","https://openalex.org/W2986670728","https://openalex.org/W3000086239","https://openalex.org/W3006361992","https://openalex.org/W3011727199","https://openalex.org/W3015826981","https://openalex.org/W3035333188","https://openalex.org/W3094502228","https://openalex.org/W3120217483","https://openalex.org/W3138967769","https://openalex.org/W3157731560","https://openalex.org/W3170986249","https://openalex.org/W3200328557","https://openalex.org/W3205854703","https://openalex.org/W3212014628","https://openalex.org/W3215528326","https://openalex.org/W3217340782","https://openalex.org/W4205335327","https://openalex.org/W4205462621","https://openalex.org/W4206042814","https://openalex.org/W4206662200","https://openalex.org/W4224217283","https://openalex.org/W4230284066","https://openalex.org/W4255556797","https://openalex.org/W4285715698","https://openalex.org/W4312422136","https://openalex.org/W4312639100","https://openalex.org/W4312946813","https://openalex.org/W4315489590","https://openalex.org/W4321202333","https://openalex.org/W4323275634","https://openalex.org/W4378419978","https://openalex.org/W4385976130","https://openalex.org/W4386071547","https://openalex.org/W4387704502","https://openalex.org/W4396528904","https://openalex.org/W6745847253"],"related_works":["https://openalex.org/W4415353528","https://openalex.org/W7124836847","https://openalex.org/W4413332666","https://openalex.org/W4415343746","https://openalex.org/W4417112622","https://openalex.org/W4407774771","https://openalex.org/W6979264954","https://openalex.org/W7207833489","https://openalex.org/W4402876307","https://openalex.org/W4293517985"],"abstract_inverted_index":{"Multi-modal":[0],"representation":[1],"learning":[2,87,102],"has":[3],"received":[4],"significant":[5],"attention":[6],"across":[7],"diverse":[8],"research":[9],"domains":[10,138],"due":[11],"to":[12,15,26,66],"its":[13],"ability":[14],"model":[16,144],"a":[17,31,76],"scenario":[18],"comprehensively.":[19],"Learning":[20],"the":[21,45,58,64,68,100,114,118,122,126,141],"cross-modal":[22,49],"interactions":[23,50,109],"is":[24],"essential":[25],"combining":[27],"multi-modal":[28,86,133,142,149],"data":[29],"into":[30,57],"joint":[32],"representation.":[33,60],"However,":[34],"conventional":[35],"cross-attention":[36,127],"mechanisms":[37,91],"can":[38],"produce":[39],"noisy":[40],"and":[41,79],"non-meaningful":[42],"values":[43],"in":[44],"absence":[46],"of":[47,70],"useful":[48],"among":[51],"input":[52],"features,":[53],"thereby":[54],"introducing":[55],"uncertainty":[56,123],"feature":[59],"These":[61],"factors":[62],"have":[63],"potential":[65],"degrade":[67],"performance":[69],"downstream":[71,115],"tasks.":[72],"This":[73],"paper":[74],"introduces":[75],"novel":[77],"Pre-gating":[78],"Contextual":[80],"Attention":[81],"Gate":[82],"(PCAG)":[83],"module":[84],"for":[85,113],"comprising":[88],"two":[89],"gating":[90],"that":[92,110,140],"operate":[93],"at":[94],"distinct":[95],"information":[96],"processing":[97],"levels":[98],"within":[99],"deep":[101],"model.":[103],"The":[104],"first":[105],"gate":[106,120],"filters":[107],"out":[108],"lack":[111],"informativeness":[112],"task,":[116],"while":[117],"second":[119],"reduces":[121],"introduced":[124],"by":[125],"module.":[128],"Experimental":[129],"results":[130],"on":[131],"eight":[132],"classification":[134],"tasks":[135],"spanning":[136],"various":[137],"show":[139],"fusion":[143,150],"with":[145],"PCAG":[146,156],"outperforms":[147],"state-of-the-art":[148],"models.":[151],"Additionally,":[152],"we":[153],"elucidate":[154],"how":[155],"effectively":[157],"processes":[158],"cross-modality":[159],"interactions.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":27},{"year":2025,"cited_by_count":12}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-07-18T00:00:00"}