{"id":"https://openalex.org/W4408352366","doi":"https://doi.org/10.1109/icassp49660.2025.10890624","title":"CLHi-MTS: A Contrastive Learning-Based Hierarchical Framework for Masked Medical Time-Series Modeling","display_name":"CLHi-MTS: A Contrastive Learning-Based Hierarchical Framework for Masked Medical Time-Series Modeling","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352366","doi":"https://doi.org/10.1109/icassp49660.2025.10890624"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890624","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/A5017638299","display_name":"Ziyang Cheng","orcid":"https://orcid.org/0000-0002-4498-2443"},"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":"Ziyang Cheng","raw_affiliation_strings":["University of Science and Technology of China,Institute of Advanced Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Institute of Advanced Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040959073","display_name":"Shurong Sheng","orcid":"https://orcid.org/0009-0007-8116-2958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shurong Sheng","raw_affiliation_strings":["Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101312038","display_name":"Xiongfei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210094824","display_name":"Beijing Sanbo Brain Hospital","ror":"https://ror.org/00jkncn63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210094824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongfei Wang","raw_affiliation_strings":["Sanbo Brain Hospital Capital Medical University,Department of Neurosurgery, Beijing Key Laboratory of Epilepsy,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanbo Brain Hospital Capital Medical University,Department of Neurosurgery, Beijing Key Laboratory of Epilepsy,China","institution_ids":["https://openalex.org/I183519381","https://openalex.org/I4210094824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006877195","display_name":"Yimao Sun","orcid":"https://orcid.org/0000-0003-1337-8945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Sun","raw_affiliation_strings":["Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065236761","display_name":"Kuntao Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuntao Xiao","raw_affiliation_strings":["Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115596564","display_name":"Wanli Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanli Yang","raw_affiliation_strings":["Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Comprehensive National Science Center,Institute of Artificial Intelligence,Hefei,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112627242","display_name":"Pengfei Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210094824","display_name":"Beijing Sanbo Brain Hospital","ror":"https://ror.org/00jkncn63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210094824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Teng","raw_affiliation_strings":["Sanbo Brain Hospital Capital Medical University,Department of Neurosurgery, Beijing Key Laboratory of Epilepsy,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanbo Brain Hospital Capital Medical University,Department of Neurosurgery, Beijing Key Laboratory of Epilepsy,China","institution_ids":["https://openalex.org/I183519381","https://openalex.org/I4210094824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102822843","display_name":"Guoming Luan","orcid":null},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210094824","display_name":"Beijing Sanbo Brain Hospital","ror":"https://ror.org/00jkncn63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210094824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoming Luan","raw_affiliation_strings":["Sanbo Brain Hospital Capital Medical University,Department of Neurosurgery, Beijing Key Laboratory of Epilepsy,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanbo Brain Hospital Capital Medical University,Department of Neurosurgery, Beijing Key Laboratory of Epilepsy,China","institution_ids":["https://openalex.org/I183519381","https://openalex.org/I4210094824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006770666","display_name":"Jia\u2010Hong Gao","orcid":"https://orcid.org/0000-0002-9311-0297"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Gao","raw_affiliation_strings":["Peking University,The McGovern Institute for Brain Research,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,The McGovern Institute for Brain Research,Beijing,China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210115644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.03832059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9745000004768372,"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/computer-science","display_name":"Computer science","score":0.7543059587478638},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6586964726448059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42979955673217773},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42952728271484375},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07147741317749023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543059587478638},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6586964726448059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42979955673217773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42952728271484375},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07147741317749023},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890624","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1987951491","https://openalex.org/W2006873322","https://openalex.org/W2049266248","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2288427781","https://openalex.org/W2292901520","https://openalex.org/W3027572331","https://openalex.org/W3188872815","https://openalex.org/W3190152617","https://openalex.org/W3199148273","https://openalex.org/W4226265563","https://openalex.org/W4280616982","https://openalex.org/W4367047139","https://openalex.org/W4379196925","https://openalex.org/W4385245566","https://openalex.org/W4392449689","https://openalex.org/W4392903634","https://openalex.org/W4392904165","https://openalex.org/W6633205339","https://openalex.org/W6676186243","https://openalex.org/W6838895826","https://openalex.org/W6846825190","https://openalex.org/W6849726903","https://openalex.org/W6850364612","https://openalex.org/W6850686174","https://openalex.org/W6857844221","https://openalex.org/W6858058022","https://openalex.org/W6862987034"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Medical":[0,97],"time-series":[1,156],"analysis":[2],"is":[3],"crucial":[4,78],"for":[5,29,79,95,132,150],"the":[6,18,62,70,116,141],"diagnosis":[7],"and":[8,20,32,68,111,153],"treatment":[9],"of":[10,22,105,118],"various":[11],"diseases.":[12],"As":[13],"modern":[14],"medical":[15,23,155],"sensors":[16],"evolve,":[17],"complexity":[19],"dimensionality":[21],"signals":[24],"have":[25],"increased,":[26],"posing":[27],"challenges":[28],"data":[30,50,81],"labeling":[31],"classification.":[33],"Self-supervised":[34],"learning":[35,144],"has":[36,58],"emerged":[37],"as":[38],"a":[39,89,128],"promising":[40],"solution":[41],"by":[42],"automatically":[43],"extracting":[44],"meaningful":[45],"feature":[46],"representations":[47],"from":[48],"raw":[49],"without":[51],"manually":[52],"annotated":[53],"labels.":[54],"However,":[55],"existing":[56],"research":[57],"often":[59],"focused":[60],"on":[61,147],"time-point":[63],"or":[64],"instance":[65],"level":[66],"input":[67],"overlook":[69],"intricate":[71],"relationships":[72],"among":[73],"different":[74],"channels,":[75],"which":[76],"are":[77],"precise":[80],"representation.":[82],"In":[83],"this":[84],"study,":[85],"we":[86],"propose":[87],"CLHi-MTS,":[88],"novel":[90],"Contrastive":[91],"Learning-Based":[92],"Hierarchical":[93],"Framework":[94],"Masked":[96],"Time-Series":[98],"Modeling":[99],"that":[100],"leverages":[101],"three":[102],"distinct":[103],"levels":[104],"proximity:":[106],"channel":[107],"interdependencies,":[108],"temporal":[109],"fluctuations,":[110],"instance-level":[112],"correlations,":[113],"to":[114],"guide":[115],"reconstruction":[117],"masked":[119],"segments":[120],"enhanced":[121],"with":[122],"contrastive":[123,137],"learning.":[124],"We":[125],"also":[126],"introduce":[127],"new":[129],"augmentation":[130],"strategy":[131],"generating":[133],"positive":[134],"examples":[135],"in":[136],"learning,":[138],"further":[139],"enhancing":[140],"model\u2019s":[142],"representation":[143],"ability.":[145],"Evaluated":[146],"five":[148],"datasets":[149],"both":[151],"in-domain":[152],"cross-domain":[154],"classification":[157],"tasks,":[158],"our":[159],"framework":[160],"outperforms":[161],"six":[162],"state-of-the-art":[163],"self-supervised":[164],"methods.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}