{"id":"https://openalex.org/W7126077484","doi":"https://doi.org/10.1109/bibm66473.2025.11356954","title":"Spectral Adaptive Hypergraphs for Skeleton-Based Action Recognition","display_name":"Spectral Adaptive Hypergraphs for Skeleton-Based Action Recognition","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126077484","doi":"https://doi.org/10.1109/bibm66473.2025.11356954"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124267097","display_name":"Xudong Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Xudong Yan","raw_affiliation_strings":["City University of Macau,Faculty of Data Science"],"affiliations":[{"raw_affiliation_string":"City University of Macau,Faculty of Data Science","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124274378","display_name":"Yongde Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yongde Guo","raw_affiliation_strings":["City University of Macau,Faculty of Data Science"],"affiliations":[{"raw_affiliation_string":"City University of Macau,Faculty of Data Science","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113004161","display_name":"Huasong Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Huasong Shao","raw_affiliation_strings":["City University of Macau,Faculty of Data Science"],"affiliations":[{"raw_affiliation_string":"City University of Macau,Faculty of Data Science","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124177542","display_name":"Yushi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushi Liu","raw_affiliation_strings":["Chongqing University,Bioengineering College of Chongqing University"],"affiliations":[{"raw_affiliation_string":"Chongqing University,Bioengineering College of Chongqing University","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shimei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shimei Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124227883","display_name":"Jing Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiong","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124297519","display_name":"Lei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395033","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0001-8555-0156"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5124267097"],"corresponding_institution_ids":["https://openalex.org/I6469544"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71051662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6519","last_page":"6526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9243999719619751,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9243999719619751,"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/T11431","display_name":"Action Observation and Synchronization","score":0.015399999916553497,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.014299999922513962,"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/hypergraph","display_name":"Hypergraph","score":0.9017999768257141},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6182000041007996},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6101999878883362},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4986000061035156},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.42100000381469727},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4032999873161316},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.37860000133514404},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.36910000443458557}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.9017999768257141},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6182000041007996},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6101999878883362},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4986000061035156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48910000920295715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47209998965263367},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40139999985694885},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32820001244544983},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C2985906921","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Spectral properties","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":28,"referenced_works":["https://openalex.org/W846669277","https://openalex.org/W1744759976","https://openalex.org/W1950788856","https://openalex.org/W1983364832","https://openalex.org/W2054041160","https://openalex.org/W2056898157","https://openalex.org/W2716916105","https://openalex.org/W2919115771","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2962730651","https://openalex.org/W2963076818","https://openalex.org/W2964134613","https://openalex.org/W3035225512","https://openalex.org/W3106615203","https://openalex.org/W3108496296","https://openalex.org/W3174836262","https://openalex.org/W3185273257","https://openalex.org/W3203634062","https://openalex.org/W4213436504","https://openalex.org/W4283377921","https://openalex.org/W4312757522","https://openalex.org/W4385245566","https://openalex.org/W4386065362","https://openalex.org/W4386172478","https://openalex.org/W4387876320","https://openalex.org/W4402716188","https://openalex.org/W4404439889"],"related_works":[],"abstract_inverted_index":{"Graph":[0],"based":[1],"models":[2],"have":[3],"significantly":[4],"advanced":[5],"skeleton-based":[6],"action":[7],"recognition,":[8],"yet":[9],"most":[10],"methods":[11],"rely":[12],"on":[13,122],"pairwise":[14],"connections":[15],"and":[16,54,95,117,129,138,147],"struggle":[17],"to":[18,41],"capture":[19],"higher":[20],"order,":[21],"rhythm":[22],"consistent":[23],"dependencies.":[24],"We":[25,87],"introduce":[26],"the":[27,38,75,93,112,142],"Spectral":[28],"Adaptive":[29],"Hypergraph":[30],"Convolution":[31],"Network":[32],"(SA-HyperGCN),":[33],"which":[34],"constructs":[35],"hyperedges":[36],"in":[37],"frequency":[39],"domain":[40],"model":[42],"coordinated":[43],"multi":[44],"joint":[45,49,115],"relations.":[46],"By":[47],"transforming":[48],"trajectories":[50],"into":[51,92],"spectral":[52,70,145],"representations":[53],"adaptively":[55],"grouping":[56],"joints":[57,91],"via":[58],"low-frequency":[59],"similarity,":[60],"SA-HyperGCN":[61,133],"discovers":[62],"actiondriven":[63],"structures":[64,116],"beyond":[65],"spatial":[66],"adjacency.":[67],"The":[68],"resulting":[69],"hypergraph":[71,81,94,139],"is":[72],"fused":[73],"with":[74],"static":[76],"skeleton":[77],"topology":[78],"through":[79],"multi-head":[80],"convolution":[82],"for":[83],"expressive":[84],"message":[85],"passing.":[86],"further":[88],"incorporate":[89],"virtual":[90,114],"apply":[96],"a":[97],"topology-aware":[98],"regularization":[99],"that":[100,132],"discourages":[101],"overly":[102],"similar":[103],"geometric":[104],"configurations.":[105],"This":[106],"constraint":[107],"helps":[108],"maintain":[109],"diversity":[110],"among":[111],"learned":[113],"stabilizes":[118],"training.":[119],"Extensive":[120],"experiments":[121],"NTU":[123,126],"RGB+D":[124,127],"60,":[125],"120":[128],"NW-UCLA":[130],"show":[131],"consistently":[134],"outperforms":[135],"strong":[136],"GCN":[137],"baselines,":[140],"validating":[141],"effectiveness":[143],"of":[144],"modeling":[146],"topologyguided":[148],"regularization.":[149]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-01-30T00:00:00"}