{"id":"https://openalex.org/W4415536725","doi":"https://doi.org/10.1145/3746027.3762078","title":"Heterogeneous Encoder Fusion with KAN Decoder for Group Engagement Modeling via 8\u00d7 Sliding Pipelines","display_name":"Heterogeneous Encoder Fusion with KAN Decoder for Group Engagement Modeling via 8\u00d7 Sliding Pipelines","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415536725","doi":"https://doi.org/10.1145/3746027.3762078"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3762078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3762078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5049160911","display_name":"Yong-Rui Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuefeng Zou","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091919893","display_name":"Hui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048818071","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0002-3197-8103"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045007834","display_name":"Keda Lu","orcid":"https://orcid.org/0009-0006-8974-3813"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keda Lu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108770934","display_name":"Lexuan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linsi Zhu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109731559","display_name":"Fengzhao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengzhao Sun","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102858425","display_name":"Bo Wang","orcid":"https://orcid.org/0009-0007-7695-2584"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Unisound AI Technology Co., Ltd., Hefei, China"],"affiliations":[{"raw_affiliation_string":"Unisound AI Technology Co., Ltd., Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110091437","display_name":"Kefu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yao","raw_affiliation_strings":["Unisound AI Technology Co., Ltd., Hefei, China"],"affiliations":[{"raw_affiliation_string":"Unisound AI Technology Co., Ltd., Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047888605","display_name":"Jianqing Sun","orcid":"https://orcid.org/0009-0007-3598-8564"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianqing Sun","raw_affiliation_strings":["Unisound AI Technology Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Unisound AI Technology Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039730743","display_name":"Jiaen Liang","orcid":"https://orcid.org/0009-0001-8309-1301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaen Liang","raw_affiliation_strings":["Unisound AI Technology Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Unisound AI Technology Co., Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5049160911"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.7802,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92168415,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"14163","last_page":"14169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10709","display_name":"Social Robot Interaction and HRI","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9635999798774719,"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/fuse","display_name":"Fuse (electrical)","score":0.6757000088691711},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5372999906539917},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4918999969959259},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.47999998927116394},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4668000042438507},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3928000032901764},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.3734999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944000124931335},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6757000088691711},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5372999906539917},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4918999969959259},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.47999998927116394},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.454800009727478},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39329999685287476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3571999967098236},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32440000772476196},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3762078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3762078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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":16,"referenced_works":["https://openalex.org/W2028696452","https://openalex.org/W2055000402","https://openalex.org/W2137983211","https://openalex.org/W2194775991","https://openalex.org/W2313339984","https://openalex.org/W2755291975","https://openalex.org/W2782668511","https://openalex.org/W2976895217","https://openalex.org/W3205504809","https://openalex.org/W3212751556","https://openalex.org/W4288099396","https://openalex.org/W4322773095","https://openalex.org/W4388979610","https://openalex.org/W4403752318","https://openalex.org/W4403780494","https://openalex.org/W4403780549"],"related_works":[],"abstract_inverted_index":{"Estimating":[0],"engagement":[1,27,136],"in":[2,14,76],"group":[3,77,82],"interactions":[4,37],"is":[5],"crucial":[6],"for":[7,170],"building":[8],"socially":[9],"intelligent":[10],"systems,":[11],"such":[12],"as":[13],"human-agent":[15],"and":[16,55,72,106,147],"human-robot":[17],"interaction.":[18],"However,":[19],"precisely":[20],"modeling":[21],"the":[22,33,69,80,102,111,117,140,151,176],"continuous":[23],"frame-level":[24],"fluctuations":[25],"of":[26,59,108,143,168],"remains":[28],"challenging,":[29],"particularly":[30],"when":[31],"considering":[32],"complex":[34],"multi-party":[35],"signal":[36],"within":[38],"groups.":[39],"Our":[40],"method":[41],"employs":[42],"an":[43,88],"encoder":[44],"that":[45],"integrates":[46],"BiLSTM":[47],"with":[48,122],"Transformer":[49],"to":[50,78,132],"effectively":[51],"capture":[52],"both":[53,68],"local":[54],"global":[56],"temporal":[57,103],"dependencies":[58],"multimodal":[60],"features.":[61],"Crucially,":[62],"we":[63,86,115],"explicitly":[64],"fuse":[65],"signals":[66],"from":[67,150],"target":[70],"participant":[71],"their":[73,127],"conversational":[74],"partners":[75],"model":[79],"holistic":[81],"interaction":[83],"dynamics.":[84],"Furthermore,":[85],"introduce":[87],"8x":[89],"overlapped":[90],"optimized":[91],"sliding":[92],"window":[93],"strategy,":[94],"constructing":[95],"a":[96,180],"''sliding":[97],"pipeline'',":[98],"which":[99,178],"significantly":[100],"enhances":[101],"smoothness,":[104],"continuity,":[105],"stability":[107],"predictions.":[109,137],"In":[110],"final":[112],"regression":[113],"stage,":[114],"replace":[116],"traditional":[118],"multilayer":[119],"perceptron(MLP)":[120],"decoder":[121],"Kolmogorov-Arnold":[123],"Network":[124],"(KAN),":[125],"leveraging":[126],"superior":[128],"function":[129],"approximation":[130],"capability":[131],"achieve":[133],"more":[134],"accurate":[135],"Evaluated":[138],"on":[139],"test":[141],"sets":[142],"NoXi-base,":[144],"NoXi-addition,":[145],"MPIIGroupInteraction":[146],"NoXi-J":[148],"datasets":[149],"Multimediate'25":[152],"Engagement":[153],"Challenge,":[154],"our":[155],"approach":[156],"demonstrates":[157],"significant":[158,181],"performance":[159],"improvements,":[160],"achieving":[161],"highly":[162],"competitive":[163],"Concordance":[164],"Correlation":[165],"Coefficients":[166],"(CCC)":[167],"0.678":[169],"global,":[171],"approximately":[172],"56.1%":[173],"higher":[174],"than":[175],"baseline,":[177],"shows":[179],"improvement.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-25T00:00:00"}
