{"id":"https://openalex.org/W4386065970","doi":"https://doi.org/10.1109/isit54713.2023.10206531","title":"Systematic Encoding of Elliptic Codes with Dynamic Information Sets","display_name":"Systematic Encoding of Elliptic Codes with Dynamic Information Sets","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386065970","doi":"https://doi.org/10.1109/isit54713.2023.10206531"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5031632854","display_name":"Jianguo Zhao","orcid":"https://orcid.org/0000-0002-8497-4683"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianguo Zhao","raw_affiliation_strings":["Sun Yat-sen University,School of System Science and Engineering,Guangzhou,China","School of System Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of System Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of System Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379215","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-1725-1901"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031632854"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55242468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2075","last_page":"2080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":1.0,"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/T11130","display_name":"Coding theory and cryptography","score":1.0,"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9902999997138977,"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/T11693","display_name":"Cryptography and Residue Arithmetic","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/encoding","display_name":"Encoding (memory)","score":0.6873437166213989},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.685397744178772},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5551632046699524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5473329424858093},{"id":"https://openalex.org/keywords/parity-check-matrix","display_name":"Parity-check matrix","score":0.5260714888572693},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48730599880218506},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47810620069503784},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4680333435535431},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4317484498023987},{"id":"https://openalex.org/keywords/algebraic-number","display_name":"Algebraic number","score":0.41436323523521423},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41072607040405273},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.39824533462524414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3939475119113922},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36210721731185913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3483491539955139},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.24635162949562073},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08977305889129639},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.07657650113105774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.062774658203125}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6873437166213989},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.685397744178772},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5551632046699524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5473329424858093},{"id":"https://openalex.org/C95925971","wikidata":"https://www.wikidata.org/wiki/Q3100414","display_name":"Parity-check matrix","level":4,"score":0.5260714888572693},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48730599880218506},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47810620069503784},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4680333435535431},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4317484498023987},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.41436323523521423},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41072607040405273},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.39824533462524414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3939475119113922},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36210721731185913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3483491539955139},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.24635162949562073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08977305889129639},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.07657650113105774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.062774658203125},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/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/isit54713.2023.10206531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":21,"referenced_works":["https://openalex.org/W1556443961","https://openalex.org/W2009370804","https://openalex.org/W2022879455","https://openalex.org/W2023063824","https://openalex.org/W2032431003","https://openalex.org/W2034321633","https://openalex.org/W2051600051","https://openalex.org/W2097083932","https://openalex.org/W2099244604","https://openalex.org/W2120227138","https://openalex.org/W2131723039","https://openalex.org/W2134791857","https://openalex.org/W2144760922","https://openalex.org/W2155020285","https://openalex.org/W2156783363","https://openalex.org/W2156826724","https://openalex.org/W3107419248","https://openalex.org/W3198838307","https://openalex.org/W4206973523","https://openalex.org/W4232274958","https://openalex.org/W4289655139"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799","https://openalex.org/W2145403642"],"abstract_inverted_index":{"Systematic":[0],"encoding":[1,36,58],"is":[2],"crucial":[3],"in":[4],"some":[5],"decoding":[6,17,29],"algorithms":[7],"of":[8,15,37,71,82,104],"algebraic-geometric":[9],"(AG)":[10],"codes.":[11,39],"In":[12],"the":[13,22,56,62,90,100,105],"context":[14],"soft":[16],"that":[18],"requires":[19],"systematic":[20,35,57,63],"encoding,":[21],"information":[23],"set":[24],"changes":[25],"dynamically":[26],"for":[27,34,45,54,88],"each":[28],"event,":[30],"presenting":[31],"a":[32,50,80],"challenge":[33,44],"AG":[38],"This":[40],"paper":[41],"addresses":[42],"this":[43],"elliptic":[46,106],"codes":[47],"by":[48],"proposing":[49],"fast":[51],"construction":[52],"algorithm":[53,78],"both":[55],"polynomial":[59],"(SEP)":[60],"and":[61,73,86,92,97,102],"generator":[64],"matrix":[65],"(SGM)":[66],"based":[67],"on":[68],"Gr\u00f6bner":[69],"bases":[70],"modules":[72],"backward":[74],"interpolation.":[75],"The":[76],"proposed":[77],"has":[79],"complexity":[81],"$\\mathcal{O}\\left(":[83],"{{k^2}}":[84],"\\right)$":[85],"$\\mathcal{O}(kn)$":[87],"constructing":[89],"SEP":[91],"SGM,":[93],"respectively,":[94],"where":[95],"k":[96],"n":[98],"denote":[99],"dimension":[101],"length":[103],"code.":[107],"Additionally,":[108],"its":[109,116],"computation":[110],"can":[111],"be":[112],"highly":[113],"parallelized,":[114],"enhancing":[115],"implementation":[117],"efficiency.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}