{"id":"https://openalex.org/W4412404198","doi":"https://doi.org/10.1109/jbhi.2025.3588122","title":"Mining Global and Local Semantics From Unlabeled Spectra for Spectral Classification","display_name":"Mining Global and Local Semantics From Unlabeled Spectra for Spectral Classification","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4412404198","doi":"https://doi.org/10.1109/jbhi.2025.3588122","pmid":"https://pubmed.ncbi.nlm.nih.gov/40658574"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3588122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3588122","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5070446818","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0003-3125-054X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Luo","raw_affiliation_strings":["State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076153623","display_name":"Haiming Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiming Yao","raw_affiliation_strings":["State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411790","display_name":"Ang Gao","orcid":"https://orcid.org/0000-0002-9145-6614"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ang Gao","raw_affiliation_strings":["State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067280360","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-8145-712X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035550613","display_name":"Xue Wang","orcid":"https://orcid.org/0000-0003-4842-3160"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wang","raw_affiliation_strings":["State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070446818"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0841551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"1","first_page":"808","last_page":"819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.8513000011444092,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.8513000011444092,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8378000259399414,"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/semantics","display_name":"Semantics (computer science)","score":0.6896239519119263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380841732025146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4691179096698761},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40545931458473206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3887050747871399},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0787399411201477}],"concepts":[{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6896239519119263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380841732025146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4691179096698761},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40545931458473206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3887050747871399},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0787399411201477}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013057","descriptor_name":"Spectrum Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013057","descriptor_name":"Spectrum Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013057","descriptor_name":"Spectrum Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013057","descriptor_name":"Spectrum Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3588122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3588122","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40658574","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40658574","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1986902094","https://openalex.org/W2025768430","https://openalex.org/W2029089404","https://openalex.org/W2100495367","https://openalex.org/W2494566811","https://openalex.org/W2798991696","https://openalex.org/W2810258390","https://openalex.org/W2888625853","https://openalex.org/W2896457183","https://openalex.org/W2962858109","https://openalex.org/W2982482221","https://openalex.org/W2990349864","https://openalex.org/W3014033160","https://openalex.org/W3035524453","https://openalex.org/W3089048326","https://openalex.org/W3171007011","https://openalex.org/W3184113492","https://openalex.org/W3187096419","https://openalex.org/W3199136825","https://openalex.org/W3204255034","https://openalex.org/W4206390848","https://openalex.org/W4296209544","https://openalex.org/W4313156423","https://openalex.org/W4313546446","https://openalex.org/W4321791170","https://openalex.org/W4360826436","https://openalex.org/W4385245566","https://openalex.org/W4385754473","https://openalex.org/W4386221015","https://openalex.org/W4390697142","https://openalex.org/W4391365462","https://openalex.org/W4391618211","https://openalex.org/W4392650287","https://openalex.org/W4393187511","https://openalex.org/W4394761569","https://openalex.org/W4396884343","https://openalex.org/W4401990728"],"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/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Non-destructive":[0],"detection":[1],"methods":[2,35],"based":[3,102],"on":[4,38,103,226],"molecular":[5],"vibrational":[6,26],"spectroscopy":[7],"are":[8],"pivotal":[9],"in":[10,138,146,179,229],"fields":[11],"such":[12,175],"as":[13,176],"analytical":[14],"chemistry":[15],"and":[16,57,70,92,127,172,193,231],"medical":[17],"diagnostics.":[18],"Recent":[19],"advances":[20],"have":[21],"integrated":[22],"deep":[23],"learning":[24,65],"with":[25,206],"spectroscopy,":[27],"significantly":[28],"enhancing":[29],"spectral":[30,41,135,215,222,234,251],"recognition":[31,235],"accuracy.":[32],"However,":[33],"these":[34],"often":[36],"rely":[37],"large":[39],"annotated":[40,82],"datasets,":[42],"limiting":[43],"their":[44],"general":[45],"applicability.":[46],"To":[47],"address":[48],"this":[49],"limitation,":[50],"we":[51],"propose":[52],"a":[53,130,207],"novel":[54],"approach,":[55],"Global":[56],"Local":[58],"Semantics":[59],"Mining":[60],"(GLSM),":[61],"which":[62],"leverages":[63],"self-supervised":[64,185],"to":[66,120,144],"capture":[67,121],"the":[68,78,104,110,118,134,141,150,167,191,198,239],"global":[69,89,97,131,192],"local":[71,93,151,170,194],"semantic":[72,90,94,98,152,195],"information":[73,196],"of":[74,109,133,169,197,210,241],"unlabeled":[75],"spectra,":[76,164],"obviating":[77],"need":[79],"for":[80,217,249],"extensive":[81],"data.":[83,136],"We":[84],"devise":[85],"two":[86],"proxy":[87],"tasks:":[88],"mining":[91,99,153],"mining.":[95],"The":[96,200],"task":[100,154],"is":[101],"premise":[105],"that":[106,156],"different":[107],"views":[108],"same":[111],"spectrum":[112],"can":[113,159,203],"be":[114,160,204],"mutually":[115],"transformed,":[116],"enabling":[117],"model":[119,188,202],"domain-invariant":[122],"features":[123],"across":[124],"various":[125],"perspectives":[126],"thereby":[128,165],"develop":[129],"understanding":[132],"This,":[137],"turn,":[139],"enhances":[140],"model's":[142],"robustness":[143],"variations":[145,178],"peak":[147,180],"positions.":[148],"Meanwhile,":[149],"posits":[155],"noisy":[157],"spectra":[158],"reconstructed":[161],"into":[162],"noise-free":[163],"facilitating":[166],"extraction":[168],"patterns":[171],"fine-grained":[173],"details,":[174],"subtle":[177],"intensities.":[181],"By":[182],"combining":[183],"both":[184],"tasks,":[186],"our":[187,242],"effectively":[189],"captures":[190],"spectrum.":[199],"pre-trained":[201],"fine-tuned":[205],"limited":[208],"amount":[209],"labeled":[211],"homologous":[212],"or":[213,219],"heterologous":[214],"data":[216],"semi-supervised":[218,230],"transfer":[220,232],"learning-based":[221,233],"classification.":[223],"Extensive":[224],"experiments":[225],"three":[227],"datasets":[228],"tasks":[236],"comprehensively":[237],"validate":[238],"effectiveness":[240],"GLSM":[243],"method,":[244],"demonstrating":[245],"its":[246],"significant":[247],"potential":[248],"real-world":[250],"analysis":[252],"applications.":[253]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
