{"id":"https://openalex.org/W2771683683","doi":"https://doi.org/10.1109/wcsp.2017.8170998","title":"A synthesis flow for fast convolution unit based on molecular reactions","display_name":"A synthesis flow for fast convolution unit based on molecular reactions","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771683683","doi":"https://doi.org/10.1109/wcsp.2017.8170998","mag":"2771683683"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2017.8170998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2017.8170998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5063200221","display_name":"Yuchen Zhuang","orcid":"https://orcid.org/0000-0003-4641-894X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Zhuang","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090745701","display_name":"Lulu Ge","orcid":"https://orcid.org/0000-0002-0043-6512"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lulu Ge","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323797","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0003-0845-0527"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["State Key Laboratory of Coordination Chemistry, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Coordination Chemistry, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037794174","display_name":"Jing Zhao","orcid":"https://orcid.org/0000-0001-5177-5699"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["State Key Laboratory of Coordination Chemistry, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Coordination Chemistry, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072916702","display_name":"Xiaohu You","orcid":"https://orcid.org/0000-0002-0809-8511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohu You","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380082","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0002-7736-6487"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhang","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"332","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9998000264167786,"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/T12029","display_name":"DNA and Biological Computing","score":0.9975000023841858,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6439052224159241},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5948452353477478},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4480658769607544},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.44397708773612976},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.32370173931121826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15454548597335815},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14913558959960938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11769762635231018},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.10032159090042114},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08129164576530457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439052224159241},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5948452353477478},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4480658769607544},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.44397708773612976},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.32370173931121826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15454548597335815},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14913558959960938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11769762635231018},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.10032159090042114},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08129164576530457},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2017.8170998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2017.8170998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W41279594","https://openalex.org/W1522756649","https://openalex.org/W1555307241","https://openalex.org/W1652394668","https://openalex.org/W1977312644","https://openalex.org/W1991095994","https://openalex.org/W1997653619","https://openalex.org/W2000804241","https://openalex.org/W2009780675","https://openalex.org/W2022943108","https://openalex.org/W2042340731","https://openalex.org/W2065617269","https://openalex.org/W2073612000","https://openalex.org/W2075031385","https://openalex.org/W2141478443","https://openalex.org/W2142364125","https://openalex.org/W2182739942","https://openalex.org/W2186876778","https://openalex.org/W2557842770","https://openalex.org/W2563225778","https://openalex.org/W2783243969","https://openalex.org/W2783720762","https://openalex.org/W2962738471","https://openalex.org/W4214777351","https://openalex.org/W4240883001","https://openalex.org/W6601620200","https://openalex.org/W6633040502","https://openalex.org/W6644478229","https://openalex.org/W6730704524","https://openalex.org/W6747714453","https://openalex.org/W6748143113"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Nowadays,":[0],"molecular":[1],"computing":[2],"and":[3,13,101,111,116],"artificial":[4],"intelligence":[5],"have":[6,104],"drawn":[7],"intensive":[8],"attentions":[9],"from":[10],"both":[11],"academia":[12],"industry.":[14],"Therefore,":[15],"people":[16],"begin":[17],"to":[18,60,81,127,135,150],"seek":[19],"possible":[20],"combination":[21],"of":[22,33,41,46,108,132,139,154],"these":[23],"two":[24],"promising":[25],"areas.":[26],"In":[27,58],"this":[28,72,109,145],"paper,":[29],"with":[30],"the":[31,43,62,83,106,120,136,152,159],"aid":[32],"chemical":[34],"reaction":[35],"networks":[36,54],"(CRNs),":[37],"a":[38,66,78,87,94],"design":[39,128],"methodology":[40],"realizing":[42],"key":[44],"block":[45],"fast":[47],"convolution":[48],"unit":[49],"(FCU)":[50],"in":[51,76],"convolutional":[52],"neural":[53],"(CNNs)":[55],"is":[56,91,142,162],"proposed.":[57],"order":[59],"address":[61,151],"difficulty":[63],"when":[64,158],"\u201ccompiling\u201d":[65],"complex":[67],"traditional":[68],"circuit":[69],"into":[70],"CRNs,":[71,140],"paper":[73],"devotes":[74],"itself":[75],"offering":[77],"systematic":[79],"method":[80,110,122,146],"construct":[82],"n-parallel":[84],"FCUs,":[85],"where":[86],"3-parallel":[88],"FCU":[89],"case":[90],"employed":[92,126],"as":[93],"running":[95],"example.":[96],"Theoretical":[97],"analysis,":[98],"numerical":[99],"simulation,":[100],"complexity":[102,153],"comparison":[103],"proved":[105],"validity":[107],"ensured":[112],"its":[113],"convenience,":[114],"robustness,":[115],"efficiency.":[117],"Though":[118],"preliminary,":[119],"proposed":[121],"can":[123],"be":[124],"readily":[125],"other":[129],"arithmetic":[130],"blocks":[131],"CNNs.":[133],"Thanks":[134],"high":[137],"parallelism":[138],"it":[141],"believed":[143],"that":[144],"offers":[147],"another":[148],"perspective":[149],"CNN":[155],"implementation,":[156],"especially":[157],"system":[160],"scale":[161],"large.":[163]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
