{"id":"https://openalex.org/W4416250125","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227992","title":"Attention-Based Denoising Cross-Modal Multi-Level Fusion Network for Multimodal Sentiment Analysis","display_name":"Attention-Based Denoising Cross-Modal Multi-Level Fusion Network for Multimodal Sentiment Analysis","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250125","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227992"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5046887501","display_name":"Kairui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kairui Wang","raw_affiliation_strings":["Ningbo University,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076503603","display_name":"Shanliang Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanliang Pan","raw_affiliation_strings":["Ningbo University,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046887501"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38184001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6694999933242798,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6694999933242798,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.13920000195503235,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.023800000548362732,"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/feature","display_name":"Feature (linguistics)","score":0.6593000292778015},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5961999893188477},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5902000069618225},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5371000170707703},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5249999761581421},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4997999966144562},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4952000081539154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47999998927116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728999853134155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6942999958992004},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6593000292778015},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5961999893188477},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5371000170707703},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5249999761581421},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47999998927116394},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3944000005722046},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499000072479248},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2583643061","https://openalex.org/W2619383789","https://openalex.org/W2787581402","https://openalex.org/W2883409523","https://openalex.org/W2946218857","https://openalex.org/W2964010806","https://openalex.org/W2964051877","https://openalex.org/W2964216663","https://openalex.org/W2964260444","https://openalex.org/W2964346351","https://openalex.org/W2971050617","https://openalex.org/W3034266838","https://openalex.org/W3093051361","https://openalex.org/W3112718522","https://openalex.org/W3128412859","https://openalex.org/W3208639589","https://openalex.org/W3211692312","https://openalex.org/W3214432797","https://openalex.org/W4285149123","https://openalex.org/W4312158849","https://openalex.org/W4383503740","https://openalex.org/W4385494537","https://openalex.org/W4386158731","https://openalex.org/W4401042765"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,21,33,46,63,90,121,145,155,163],"rapid":[2],"development":[3],"of":[4,20,38,49,65,120,157],"short":[5],"videos,":[6],"multi-modal":[7],"sentiment":[8,66],"analysis":[9],"(MSA)":[10],"has":[11],"gradually":[12],"become":[13],"a":[14,57,84,113,135,149],"hot":[15],"research":[16,24],"topic.":[17],"However,":[18],"most":[19],"existing":[22],"MSA":[23],"focuses":[25],"on":[26,172],"designing":[27],"multimodal":[28],"fusion":[29,79,138,146],"frameworks":[30],"by":[31],"leveraging":[32],"complementary":[34],"and":[35,93,100,116,131,178,180],"shared":[36],"information":[37,54,108],"different":[39],"modalities,":[40],"while":[41],"paying":[42],"insufficient":[43],"attention":[44,91],"to":[45,96,127,143,161,185],"in-depth":[47],"exploration":[48],"unimodal":[50],"features.":[51],"The":[52,81],"noise":[53],"hidden":[55],"in":[56],"single":[58,104],"modality":[59,85],"often":[60],"interferes":[61],"with":[62],"accuracy":[64],"analysis.":[67],"To":[68],"address":[69],"this":[70],"issue,":[71],"we":[72],"propose":[73],"an":[74,117],"attention-based":[75],"denoising":[76,86,99],"cross-modal":[77,107],"multi-level":[78,129],"network.":[80],"network":[82],"includes":[83],"module,":[87],"which":[88],"leverages":[89],"mechanism":[92],"other":[94],"strategies":[95],"perform":[97,128],"deep":[98],"feature":[101,150,166],"enhancement":[102],"for":[103],"modalities.":[105],"Subsequently,":[106],"interaction":[109],"is":[110,125,141],"achieved":[111,181],"using":[112],"cross-attention":[114],"mechanism,":[115],"improved":[118],"variant":[119],"MLP":[122],"network,":[123],"MLP-Fusion,":[124],"proposed":[126],"intra-modal":[130],"inter-modal":[132],"fusion.":[133,167],"Furthermore,":[134],"specially":[136],"designed":[137],"loss":[139],"function":[140],"introduced":[142],"optimize":[144],"process.":[147],"Finally,":[148],"focus":[151],"module":[152],"dynamically":[153],"adjusts":[154],"weights":[156],"each":[158],"modality\u2019s":[159],"representation":[160],"achieve":[162],"final":[164],"joint":[165],"Our":[168],"method":[169],"was":[170],"tested":[171],"two":[173],"publicly":[174],"available":[175],"datasets,":[176],"CMU-MOSEI":[177],"CMU-MOSI,":[179],"state-of-the-art":[182],"performance":[183],"compared":[184],"baseline":[186],"methods.":[187]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
