{"id":"https://openalex.org/W4391097257","doi":"https://doi.org/10.1109/lcomm.2024.3356619","title":"Discover Novel Unknown Signal Classes in Open Scenarios With Multi-Representation Discriminant Network","display_name":"Discover Novel Unknown Signal Classes in Open Scenarios With Multi-Representation Discriminant Network","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4391097257","doi":"https://doi.org/10.1109/lcomm.2024.3356619"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2024.3356619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2024.3356619","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications 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/A5100406112","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0002-6556-1568"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["College of Information and Communication Engineering, Key Laboratory of Advanced Marine Communication and Information Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-6556-1568","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Key Laboratory of Advanced Marine Communication and Information Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036926068","display_name":"Lutao Liu","orcid":"https://orcid.org/0000-0003-1090-3417"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lutao Liu","raw_affiliation_strings":["College of Information and Communication Engineering, Key Laboratory of Advanced Marine Communication and Information Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1090-3417","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Key Laboratory of Advanced Marine Communication and Information Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050037820","display_name":"Muran Guo","orcid":"https://orcid.org/0000-0001-7013-9612"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muran Guo","raw_affiliation_strings":["College of Information and Communication Engineering, Key Laboratory of Advanced Marine Communication and Information Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7013-9612","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Key Laboratory of Advanced Marine Communication and Information Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5273,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8420323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"28","issue":"3","first_page":"647","last_page":"651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9973000288009644,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9973000288009644,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9164000153541565,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753774881362915},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7484490871429443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6800817251205444},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6414269208908081},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5792298316955566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5564841032028198},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5320621132850647},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.47191527485847473},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4460511803627014},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.43866589665412903},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4308403730392456},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.42929667234420776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40173619985580444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11070942878723145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753774881362915},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7484490871429443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6800817251205444},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6414269208908081},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5792298316955566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5564841032028198},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5320621132850647},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.47191527485847473},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4460511803627014},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.43866589665412903},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4308403730392456},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.42929667234420776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40173619985580444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11070942878723145},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2024.3356619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2024.3356619","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2901114541","https://openalex.org/W2990500698","https://openalex.org/W3000943722","https://openalex.org/W3016365586","https://openalex.org/W3033532056","https://openalex.org/W3035160371","https://openalex.org/W3035682985","https://openalex.org/W3175562757","https://openalex.org/W3182500101","https://openalex.org/W3190182606","https://openalex.org/W4200350610","https://openalex.org/W4214687390","https://openalex.org/W4285214623","https://openalex.org/W4292692470","https://openalex.org/W4313534925","https://openalex.org/W4318831920","https://openalex.org/W4377079867","https://openalex.org/W4382371846","https://openalex.org/W4386065844","https://openalex.org/W4386737365"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W3008559849","https://openalex.org/W2371177901"],"abstract_inverted_index":{"This":[0],"letter":[1],"aims":[2],"to":[3,39,66],"achieve":[4],"the":[5,19,53,64],"automatic":[6],"classification":[7,59],"and":[8,22,44,51],"annotation":[9],"of":[10,24],"novel":[11,25],"unknown":[12],"signal":[13,42],"classes":[14],"in":[15,89],"open":[16],"scenarios,":[17],"enabling":[18],"continuous":[20],"discovery":[21],"accumulation":[23],"modulation":[26],"information":[27],"across":[28],"various":[29],"tasks.":[30],"It":[31],"proposes":[32],"a":[33,57,73],"multi-representation":[34],"transformation":[35],"swapped":[36],"prediction":[37],"mechanism":[38],"learn":[40],"invariant":[41],"features":[43],"utilize":[45],"fusion":[46],"information,":[47],"promoting":[48],"consistent":[49],"training":[50],"improving":[52],"clustering":[54],"performance.":[55],"Furthermore,":[56],"discriminative":[58],"loss":[60],"is":[61],"introduced,":[62],"enhancing":[63],"ability":[65],"discover":[67],"previously":[68],"unseen":[69],"classes.":[70],"We":[71],"perform":[72],"five-fold":[74],"cross-validation":[75],"on":[76],"two":[77],"datasets.":[78],"Experimental":[79],"results":[80],"demonstrate":[81],"that":[82],"our":[83],"approach":[84],"outperforms":[85],"other":[86],"comparative":[87],"approaches":[88],"several":[90],"aspects.":[91]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
