{"id":"https://openalex.org/W3215763545","doi":"https://doi.org/10.1109/tnnls.2021.3126944","title":"HpGAN: Sequence Search With Generative Adversarial Networks","display_name":"HpGAN: Sequence Search With Generative Adversarial Networks","publication_year":2021,"publication_date":"2021-11-23","ids":{"openalex":"https://openalex.org/W3215763545","doi":"https://doi.org/10.1109/tnnls.2021.3126944","mag":"3215763545"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3126944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3126944","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","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":null,"display_name":"Mingxing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxing Zhang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhengchun Zhou","orcid":"https://orcid.org/0000-0002-0228-7119"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengchun Zhou","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0228-7119","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lanping Li","orcid":"https://orcid.org/0000-0003-3032-077X"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanping Li","raw_affiliation_strings":["School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3032-077X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zilong Liu","orcid":"https://orcid.org/0000-0002-5851-4261"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zilong Liu","raw_affiliation_strings":["School of Computer Science and Electronics Engineering, University of Essex, Colchester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5851-4261","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronics Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Yang","raw_affiliation_strings":["School of Mathematics, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanghe Feng","orcid":"https://orcid.org/0000-0003-1608-8695"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghe Feng","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1608-8695","affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1972,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93262835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"34","issue":"8","first_page":"4944","last_page":"4956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9926999807357788,"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/sequence","display_name":"Sequence (biology)","score":0.6270999908447266},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4564000070095062},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4327000081539154},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4275999963283539},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.414900004863739},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4124999940395355},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.3352000117301941},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3328999876976013}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6270999908447266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993000268936157},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4564000070095062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4496000111103058},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44780001044273376},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3472999930381775},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32580000162124634},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.29989999532699585},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C111458787","wikidata":"https://www.wikidata.org/wiki/Q215405","display_name":"Legendre polynomials","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2524000108242035},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnnls.2021.3126944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3126944","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2394140253","display_name":null,"funder_award_id":"62131016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6177345224","display_name":null,"funder_award_id":"62071397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1548023092","https://openalex.org/W1577554631","https://openalex.org/W1597286183","https://openalex.org/W1976294375","https://openalex.org/W1990524061","https://openalex.org/W1992856611","https://openalex.org/W2002273713","https://openalex.org/W2014105133","https://openalex.org/W2038833866","https://openalex.org/W2057335429","https://openalex.org/W2086837984","https://openalex.org/W2087063323","https://openalex.org/W2091720712","https://openalex.org/W2093812839","https://openalex.org/W2100495367","https://openalex.org/W2101124023","https://openalex.org/W2118799287","https://openalex.org/W2121441153","https://openalex.org/W2123431550","https://openalex.org/W2125193578","https://openalex.org/W2128084896","https://openalex.org/W2128187515","https://openalex.org/W2130632339","https://openalex.org/W2140798944","https://openalex.org/W2149469612","https://openalex.org/W2157420063","https://openalex.org/W2158124810","https://openalex.org/W2160136043","https://openalex.org/W2160467705","https://openalex.org/W2174424190","https://openalex.org/W2281363849","https://openalex.org/W2294688254","https://openalex.org/W2576929743","https://openalex.org/W2578438628","https://openalex.org/W2779699222","https://openalex.org/W2784180017","https://openalex.org/W2894110571","https://openalex.org/W2898754723","https://openalex.org/W2919115771","https://openalex.org/W2920182427","https://openalex.org/W2947931875","https://openalex.org/W2953426173","https://openalex.org/W2962834015","https://openalex.org/W2963079995","https://openalex.org/W2963622214","https://openalex.org/W2964268978","https://openalex.org/W2981943555","https://openalex.org/W2999016724","https://openalex.org/W3022249012","https://openalex.org/W3100385365","https://openalex.org/W3100772943","https://openalex.org/W3144240269","https://openalex.org/W4230591943","https://openalex.org/W4242085752","https://openalex.org/W6621378261"],"related_works":[],"abstract_inverted_index":{"Sequences":[0],"play":[1],"an":[2,17,75],"important":[3],"role":[4],"in":[5,83,115,156,183],"many":[6,122],"engineering":[7],"applications.":[8],"Searching":[9],"sequences":[10,35,59,164,189],"with":[11,60,88],"desired":[12,34],"properties":[13],"has":[14],"long":[15],"been":[16],"intriguing":[18],"but":[19],"also":[20],"challenging":[21],"research":[22],"topic.":[23],"This":[24],"article":[25],"proposes":[26],"a":[27,53,167,178],"novel":[28],"method,":[29],"called":[30],"HpGAN,":[31,68],"to":[32,51,63,77],"search":[33,111],"algorithmically":[36],"using":[37],"generative":[38,54],"adversarial":[39],"networks":[40],"(GANs).":[41],"HpGAN":[42,95,114,119,161],"is":[43,96],"based":[44],"on":[45],"the":[46,64,71,79,110,142,146,174],"idea":[47],"of":[48,81,113,141,170],"zero-sum":[49],"game":[50],"train":[52],"model,":[55],"which":[56,102,137,165],"can":[57],"generate":[58],"characteristics":[61],"similar":[62],"training":[65,143],"sequences.":[66],"In":[67,145],"we":[69],"design":[70],"Hopfield":[72],"network":[73],"as":[74],"encoder":[76],"avoid":[78],"limitations":[80],"GAN":[82],"generating":[84],"discrete":[85],"data.":[86],"Compared":[87],"traditional":[89],"sequence":[90,127],"construction":[91],"by":[92,105,193],"algebraic":[93],"tools,":[94],"particularly":[97],"suitable":[98],"for":[99],"complex":[100],"problems":[101],"are":[103,138],"intractable":[104],"mathematical":[106],"analysis.":[107],"We":[108],"demonstrate":[109],"capabilities":[112],"two":[116],"applications:":[117],"1)":[118],"successfully":[120],"found":[121,153,162,192],"different":[123],"mutually":[124],"orthogonal":[125],"complementary":[126],"sets":[128],"(MOCSSs)":[129],"and":[130,150,159],"optimal":[131],"odd-length":[132],"binary":[133],"Z-complementary":[134],"pairs":[135],"(OB-ZCPs)":[136],"not":[139],"part":[140],"set.":[144],"literature,":[147],"both":[148],"MOCSSs":[149],"OB-ZCPs":[151],"have":[152],"wide":[154],"applications":[155],"wireless":[157],"communications":[158],"2)":[160],"new":[163],"achieve":[166],"four-times":[168],"increase":[169],"signal-to-interference":[171],"ratio\u2014benchmarked":[172],"against":[173],"well-known":[175],"Legendre":[176],"sequences\u2014of":[177],"mismatched":[179],"filter":[180],"(MMF)":[181],"estimator":[182],"pulse":[184],"compression":[185],"radar":[186],"systems.":[187],"These":[188],"outperform":[190],"those":[191],"AlphaSeq.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-12-06T00:00:00"}