{"id":"https://openalex.org/W7161131339","doi":"https://doi.org/10.1109/lsp.2026.3693220","title":"Signal-Geometry Optimization for Micro-Expression Recognition: A Dynamic Gradient Gain Perspective","display_name":"Signal-Geometry Optimization for Micro-Expression Recognition: A Dynamic Gradient Gain Perspective","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7161131339","doi":"https://doi.org/10.1109/lsp.2026.3693220"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3693220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3693220","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5136097502","display_name":"Qi Zeng","orcid":"https://orcid.org/0009-0009-6359-6554"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zeng","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-6359-6554","affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136119506","display_name":"Rujun Xu","orcid":"https://orcid.org/0009-0007-9342-8354"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rujun Xu","raw_affiliation_strings":["College of Engineering, Shanghai Ocean University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-9342-8354","affiliations":[{"raw_affiliation_string":"College of Engineering, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039913940","display_name":"Cong Li","orcid":"https://orcid.org/0000-0002-4333-4786"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Li","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7158-562X","affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78011177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2066","last_page":"2070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.1451999992132187,"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":0.1451999992132187,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.06539999693632126,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10057","display_name":"Face and Expression Recognition","score":0.039500001817941666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6288999915122986},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.45249998569488525},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.32679998874664307},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.30790001153945923},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.28450000286102295},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2840000092983246}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6288999915122986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630000233650208},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4643000066280365},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.45249998569488525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35569998621940613},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32600000500679016},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2840000092983246},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.2678999900817871},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2556999921798706},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3693220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3693220","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Micro-expression":[0],"recognition":[1],"(MER)":[2],"poses":[3],"a":[4,54,64,77,96,109,132],"fundamental":[5],"signal":[6,71,158],"processing":[7],"challenge:":[8],"extracting":[9],"transient,":[10],"low-amplitude":[11],"facial":[12],"dynamics":[13],"from":[14,59,73],"video":[15],"data":[16],"dominated":[17],"by":[18],"high-energy":[19],"stationary":[20],"noise.":[21,75],"Standard":[22],"Cross-Entropy":[23],"optimization":[24],"often":[25],"fails":[26],"to":[27,33,68,101],"enforce":[28,63],"the":[29,87,102,124],"intra-class":[30],"compactness":[31],"required":[32],"resolve":[34],"these":[35],"low-Signal-to-Noise":[36],"Ratio":[37],"(SNR)":[38],"patterns,":[39],"yielding":[40],"embedding":[41,66],"manifolds":[42],"with":[43],"poor":[44],"discriminability.":[45],"To":[46],"address":[47],"this,":[48],"we":[49,62,84],"propose":[50],"<bold":[51,78,137],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[52,79,138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SGO-Net</b>,":[53],"Signal-Geometry":[55],"Optimization":[56],"network.":[57],"Diverging":[58],"Euclidean":[60],"paradigms,":[61],"hyperspherical":[65],"constraint":[67],"explicitly":[69],"decouple":[70],"direction":[72],"amplitude-dependent":[74],"From":[76],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">dynamic":[80],"gradient":[81,97],"gain":[82,112],"perspective</b>,":[83],"theoretically":[85],"reformulate":[86],"Hyperspherical":[88],"Proxy":[89],"Anchor":[90],"Loss,":[91],"proving":[92],"that":[93,113,144],"it":[94],"guarantees":[95],"magnitude":[98],"strictly":[99],"monotonic":[100],"angular":[103,153],"deviation.":[104],"This":[105],"mechanism":[106],"acts":[107],"as":[108],"signal-adaptive":[110],"attentional":[111],"amplifies":[114],"supervisory":[115],"signals":[116],"for":[117],"hard,":[118],"low-SNR":[119],"samples.":[120],"Extensive":[121],"experiments":[122],"on":[123],"composite":[125],"benchmark":[126],"(CASME":[127],"II,":[128],"SAMM,":[129],"SMIC)":[130],"demonstrate":[131],"state-of-the-art":[133],"Unweighted":[134],"F1-score":[135],"of":[136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0.896</b>.":[139],"Notably,":[140],"perturbation":[141],"analysis":[142],"validates":[143],"this":[145],"geometric-dynamic":[146],"synergy":[147],"offers":[148],"superior":[149],"stability":[150],"over":[151],"static":[152],"margin":[154],"baselines":[155],"in":[156],"reliable":[157],"recovery.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-15T00:00:00"}
