{"id":"https://openalex.org/W4392903462","doi":"https://doi.org/10.1109/icassp48485.2024.10446166","title":"Circular Decomposition and Cross-Modal Recombination for Multimodal Sentiment Analysis","display_name":"Circular Decomposition and Cross-Modal Recombination for Multimodal Sentiment Analysis","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903462","doi":"https://doi.org/10.1109/icassp48485.2024.10446166"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5062271776","display_name":"Haijian Liang","orcid":"https://orcid.org/0000-0002-8924-5420"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["CN","ES"],"is_corresponding":true,"raw_author_name":"Haijian Liang","raw_affiliation_strings":["Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I97750245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102747855","display_name":"Weicheng Xie","orcid":"https://orcid.org/0000-0001-8946-7472"},"institutions":[{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Weicheng Xie","raw_affiliation_strings":["Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I97750245"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101302819","display_name":"Xilin He","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Xilin He","raw_affiliation_strings":["Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I97750245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053061988","display_name":"Siyang Song","orcid":"https://orcid.org/0000-0003-2339-5685"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Siyang Song","raw_affiliation_strings":["University of Leicester,School of Computing and Mathematical Sciences","School of Computing and Mathematical Sciences, University of Leicester"],"affiliations":[{"raw_affiliation_string":"University of Leicester,School of Computing and Mathematical Sciences","institution_ids":["https://openalex.org/I153648349"]},{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University","National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Computer Vision Institue,School of Computer Science & Software Engineering","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I97750245"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062271776"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I97750245"],"apc_list":null,"apc_paid":null,"fwci":1.1918,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78518772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7910","last_page":"7914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9959999918937683,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9959999918937683,"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":0.992900013923645,"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/T11309","display_name":"Music and Audio Processing","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7276276350021362},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7261656522750854},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6045368313789368},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5981705188751221},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5653641223907471},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.563160240650177},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5013046264648438},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.46202051639556885},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4551129937171936},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4465201795101166},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4218595027923584},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4138116240501404},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41252508759498596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38056448101997375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1631806194782257},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09209614992141724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276276350021362},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7261656522750854},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6045368313789368},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5981705188751221},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5653641223907471},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.563160240650177},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5013046264648438},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.46202051639556885},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4551129937171936},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4465201795101166},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4218595027923584},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4138116240501404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41252508759498596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38056448101997375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1631806194782257},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09209614992141724},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2537725810","display_name":null,"funder_award_id":"62276170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3577061224","display_name":null,"funder_award_id":"JCYJ20220531101412030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7041006821","display_name":null,"funder_award_id":"82261138629","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2187089797","https://openalex.org/W2556418146","https://openalex.org/W2740550900","https://openalex.org/W2787581402","https://openalex.org/W2883409523","https://openalex.org/W2924126491","https://openalex.org/W2964010806","https://openalex.org/W2964051877","https://openalex.org/W2964346351","https://openalex.org/W3034266838","https://openalex.org/W3093051361","https://openalex.org/W3128412859","https://openalex.org/W3184571633","https://openalex.org/W3214432797","https://openalex.org/W4304092664","https://openalex.org/W4312994325","https://openalex.org/W4372349258","https://openalex.org/W4376455521","https://openalex.org/W4386075879","https://openalex.org/W6779459370"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964","https://openalex.org/W2167701463","https://openalex.org/W4307407935"],"abstract_inverted_index":{"Multimodal":[0],"Sentiment":[1],"Analysis":[2],"is":[3],"a":[4,62,89],"burgeoning":[5],"research":[6],"area,":[7],"leveraging":[8],"various":[9],"modalities":[10],"to":[11,56,74,77,87],"predict":[12],"the":[13,21,35,45,79,84,96,106,126,134],"sentiment":[14,38,59,92,102],"score.":[15],"Nevertheless,":[16],"previous":[17],"studies":[18],"have":[19],"disregarded":[20],"impact":[22],"of":[23,37,91,128],"noise":[24],"interference":[25],"on":[26,113],"specific":[27,73],"modal":[28],"sentiments":[29],"during":[30],"video":[31],"recording,":[32],"thereby":[33],"compromising":[34],"accuracy":[36],"prediction.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,68,99],"propose":[44],"Guided":[46],"Circular":[47],"Decomposition":[48],"and":[49,104],"Cross-Modal":[50],"Recombination":[51],"(GCD-CMR)":[52],"model,":[53],"which":[54],"aims":[55],"eliminate":[57],"contaminated":[58,107],"features":[60],"in":[61,83,95],"fine-grained":[63],"way.":[64],"To":[65],"achieve":[66],"this,":[67],"utilize":[69],"tailored":[70],"global":[71],"information":[72],"each":[75],"modality":[76],"guide":[78],"circular":[80],"decomposing":[81],"process":[82],"GCD":[85],"module,":[86,98],"produce":[88],"set":[90],"prototypes.":[93],"Subsequently,":[94],"CMR":[97],"align":[100],"cross-modal":[101],"prototypes":[103,108],"remove":[105],"for":[109],"recombination.":[110],"Experimental":[111],"results":[112],"two":[114],"publicly":[115],"available":[116],"datasets":[117],"demonstrate":[118],"that":[119],"our":[120,129],"model":[121],"surpasses":[122],"state-of-the-art":[123],"models,":[124],"confirming":[125],"effectiveness":[127],"proposed":[130],"method.":[131],"We":[132],"release":[133],"code":[135],"at:":[136],"https://github.com/nianhua20/GCD-CMR.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}