{"id":"https://openalex.org/W4408347321","doi":"https://doi.org/10.1109/icassp49660.2025.10889653","title":"Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning","display_name":"Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408347321","doi":"https://doi.org/10.1109/icassp49660.2025.10889653"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5106616374","display_name":"Zhongyi Zhou","orcid":"https://orcid.org/0009-0005-6125-4404"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Zhou","raw_affiliation_strings":["East China Normal University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033203506","display_name":"Yaxin Peng","orcid":"https://orcid.org/0000-0002-2983-555X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxin Peng","raw_affiliation_strings":["Shanghai University,Department of Mathematics,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Department of Mathematics,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709373","display_name":"Pengxing Yi","orcid":"https://orcid.org/0000-0001-8061-4333"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Yi","raw_affiliation_strings":["Shanghai University,Department of Mathematics,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Department of Mathematics,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100569694","display_name":"Minjie Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minjie Zhu","raw_affiliation_strings":["East China Normal University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101001798","display_name":"Chaomin Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaomin Shen","raw_affiliation_strings":["East China Normal University,School of Computer Science,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.5973,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97919671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10162","display_name":"Online and Blended Learning","score":0.3310000002384186,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10162","display_name":"Online and Blended Learning","score":0.3310000002384186,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10636","display_name":"Innovative Teaching and Learning Methods","score":0.3287999927997589,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/T11715","display_name":"Education and Critical Thinking Development","score":0.3262999951839447,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypersphere","display_name":"Hypersphere","score":0.9667447805404663},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.582391083240509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5649019479751587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5353634357452393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3586401641368866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33305078744888306}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.9667447805404663},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.582391083240509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649019479751587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5353634357452393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3586401641368866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33305078744888306},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1977295328","https://openalex.org/W2017814585","https://openalex.org/W2047643928","https://openalex.org/W2134262590","https://openalex.org/W2138011018","https://openalex.org/W2150884987","https://openalex.org/W2155904486","https://openalex.org/W2533598788","https://openalex.org/W2963072899","https://openalex.org/W2964189064","https://openalex.org/W2964194231","https://openalex.org/W2981864462","https://openalex.org/W3046253174","https://openalex.org/W3065974826","https://openalex.org/W3094953068","https://openalex.org/W3180392831","https://openalex.org/W3198675127","https://openalex.org/W3210573383","https://openalex.org/W4221161784","https://openalex.org/W4224932950","https://openalex.org/W4225484930","https://openalex.org/W4312238419","https://openalex.org/W4312351187","https://openalex.org/W4390190083","https://openalex.org/W4390872020","https://openalex.org/W4402702936","https://openalex.org/W4402716128","https://openalex.org/W4402753734","https://openalex.org/W6638677478","https://openalex.org/W6732520560","https://openalex.org/W6736334413","https://openalex.org/W6784333009","https://openalex.org/W6791353385","https://openalex.org/W6801897521","https://openalex.org/W6840252490","https://openalex.org/W6849248325"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Continual":[0,52],"Learning":[1,53],"enables":[2],"models":[3],"to":[4,8,22,31,82,118,133,149],"learn":[5],"and":[6,58,76,97,147],"adapt":[7],"new":[9,16,34,88],"tasks":[10,96],"while":[11],"retaining":[12],"prior":[13],"knowledge.":[14],"Introducing":[15],"tasks,":[17,26,89],"however,":[18],"can":[19],"naturally":[20],"lead":[21],"feature":[23,72,92,120,151],"entanglement":[24],"across":[25],"limiting":[27],"the":[28,80,134,142],"model\u2019s":[29],"capability":[30],"distinguish":[32],"between":[33],"domain":[35],"data.":[36],"In":[37],"this":[38],"work,":[39],"we":[40,101],"propose":[41,102],"a":[42,67,83,103,127],"method":[43],"called":[44],"Feature":[45],"Realignment":[46],"through":[47,108],"Experts":[48],"on":[49,66,123],"hyperSpHere":[50],"in":[51,130,138,153],"(Fresh-CL).":[54],"By":[55],"leveraging":[56],"predefined":[57],"fixed":[59],"simplex":[60,84],"equiangular":[61],"tight":[62],"frame":[63],"(ETF)":[64],"classifiers":[65],"hypersphere,":[68],"our":[69],"model":[70],"improves":[71],"separation":[73],"both":[74],"intra":[75],"inter":[77],"tasks.":[78],"However,":[79],"projection":[81],"ETF":[85,107,146],"shifts":[86],"with":[87],"disrupting":[90],"structured":[91],"representation":[93],"of":[94,106,110,144],"previous":[95],"degrading":[98],"performance.":[99],"Therefore,":[100],"dynamic":[104],"extension":[105],"mixture":[109],"experts,":[111],"enabling":[112],"adaptive":[113],"projections":[114],"onto":[115],"diverse":[116],"subspaces":[117],"enhance":[119],"representation.":[121],"Experiments":[122],"11":[124],"datasets":[125],"demonstrate":[126],"2%":[128],"improvement":[129],"accuracy":[131],"compared":[132],"strongest":[135],"baseline,":[136],"particularly":[137],"fine-grained":[139],"datasets,":[140],"confirming":[141],"efficacy":[143],"combining":[145],"MoE":[148],"improve":[150],"distinction":[152],"continual":[154],"learning":[155],"scenarios.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
