{"id":"https://openalex.org/W4392908972","doi":"https://doi.org/10.1109/icassp48485.2024.10447537","title":"Learning Inference-Time Drift Sensor-Actuator for Domain Generalization","display_name":"Learning Inference-Time Drift Sensor-Actuator for Domain Generalization","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392908972","doi":"https://doi.org/10.1109/icassp48485.2024.10447537"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447537","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447537","pdf_url":"https://ieeexplore.ieee.org/ielx7/10445798/10445803/10447537.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/10445798/10445803/10447537.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048337380","display_name":"Shuoshuo Chen","orcid":"https://orcid.org/0000-0001-5689-5788"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoshuo Chen","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039193712","display_name":"Yushun Tang","orcid":"https://orcid.org/0000-0002-8350-7637"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushun Tang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052517470","display_name":"Zhehan Kan","orcid":"https://orcid.org/0000-0002-1069-649X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhehan Kan","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045519742","display_name":"Zhihai He","orcid":"https://orcid.org/0000-0002-2647-8286"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihai He","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47714054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5090","last_page":"5094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8899000287055969,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8899000287055969,"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/generalization","display_name":"Generalization","score":0.7756887674331665},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7219164967536926},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.6520205140113831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486960649490356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016510486602783},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44212859869003296},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.4313497841358185},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.42502203583717346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2835550308227539},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20667457580566406},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17757061123847961}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7756887674331665},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7219164967536926},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.6520205140113831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486960649490356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016510486602783},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44212859869003296},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.4313497841358185},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.42502203583717346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2835550308227539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20667457580566406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17757061123847961},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447537","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447537","pdf_url":"https://ieeexplore.ieee.org/ielx7/10445798/10445803/10447537.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"id":"doi:10.1109/icassp48485.2024.10447537","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447537","pdf_url":"https://ieeexplore.ieee.org/ielx7/10445798/10445803/10447537.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392908972.pdf","grobid_xml":"https://content.openalex.org/works/W4392908972.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1747497716","https://openalex.org/W2028138594","https://openalex.org/W2031342017","https://openalex.org/W2104094955","https://openalex.org/W2148603752","https://openalex.org/W2162651021","https://openalex.org/W2167366427","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2798658180","https://openalex.org/W2894728917","https://openalex.org/W2963043696","https://openalex.org/W2964124968","https://openalex.org/W2981368934","https://openalex.org/W2998712190","https://openalex.org/W3095799614","https://openalex.org/W3153511633","https://openalex.org/W3175215201","https://openalex.org/W3207238119","https://openalex.org/W3207856632","https://openalex.org/W3212348395","https://openalex.org/W3214575451","https://openalex.org/W3215641581","https://openalex.org/W4289639938","https://openalex.org/W4311140058","https://openalex.org/W4312765682","https://openalex.org/W4320478180","https://openalex.org/W6683124652","https://openalex.org/W6780233385","https://openalex.org/W6796913975","https://openalex.org/W6802218743","https://openalex.org/W6803247036","https://openalex.org/W6804017529","https://openalex.org/W6809970587","https://openalex.org/W6838581198","https://openalex.org/W6849445909","https://openalex.org/W6849665487","https://openalex.org/W6849770162","https://openalex.org/W6850176168"],"related_works":["https://openalex.org/W2990081132","https://openalex.org/W4296984035","https://openalex.org/W3127121676","https://openalex.org/W3108206468","https://openalex.org/W3091433184","https://openalex.org/W4245534163","https://openalex.org/W2902096670","https://openalex.org/W2931947761","https://openalex.org/W3108897387","https://openalex.org/W4386230428"],"abstract_inverted_index":{"In":[0,26],"machine":[1],"learning":[2,51],"tasks,":[3],"models":[4],"trained":[5],"in":[6,15,36,83],"the":[7,16,31,84,89,94,106,126,131,148,153,159],"source":[8,85],"domain":[9,18,21,42,57,86,90,156],"often":[10],"suffer":[11],"from":[12,96],"performance":[13,154],"degradation":[14],"target":[17],"due":[19],"to":[20,39,77,129,133],"drift":[22,43,53,60,91],"or":[23],"distribution":[24],"shift.":[25],"this":[27,41,115],"paper,":[28],"we":[29],"explore":[30],"concept":[32],"of":[33,64,81,155],"sensor-actuator":[34,54],"design":[35],"adaptive":[37],"control":[38],"address":[40],"problem":[44],"and":[45,68,87,138],"develop":[46],"a":[47,65,69,79],"new":[48],"approach,":[49],"called":[50,99],"inference-time":[52],"(LIDSA)":[55],"for":[56],"generalization.":[58],"The":[59,72,109],"sensor":[61],"network":[62,67,74,112,128],"consists":[63],"constraint":[66,73,100,116],"data":[70,110],"converter.":[71],"is":[75,103],"learned":[76],"extract":[78],"set":[80],"constraints":[82],"sense":[88],"by":[92],"detecting":[93],"deviation":[95],"these":[97],"constraints,":[98],"error,":[101],"which":[102,123],"correlated":[104],"with":[105],"classification":[107],"error.":[108],"converter":[111],"then":[113],"maps":[114],"error":[117],"into":[118],"an":[119],"effective":[120],"guidance":[121],"signal,":[122],"can":[124],"guide":[125],"actuator":[127],"adjust":[130],"feature":[132],"achieve":[134],"improved":[135],"discrimination":[136],"power":[137],"better":[139],"generalization":[140,157],"performance.":[141],"Our":[142],"extensive":[143],"experimental":[144],"results":[145],"demonstrate":[146],"that":[147],"proposed":[149],"LIDSA":[150],"approach":[151],"improves":[152],"over":[158],"baseline":[160],"method.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}