{"id":"https://openalex.org/W3164596050","doi":"https://doi.org/10.1109/tpami.2021.3084680","title":"CoDiNet: Path Distribution Modeling With Consistency and Diversity for Dynamic Routing","display_name":"CoDiNet: Path Distribution Modeling With Consistency and Diversity for Dynamic Routing","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3164596050","doi":"https://doi.org/10.1109/tpami.2021.3084680","mag":"3164596050","pmid":"https://pubmed.ncbi.nlm.nih.gov/34048337"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3084680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3084680","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer 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 Transactions on Pattern Analysis and Machine Intelligence","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/A5100696525","display_name":"Huanyu Wang","orcid":"https://orcid.org/0000-0001-6941-4445"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanyu Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058879520","display_name":"Zequn Qin","orcid":"https://orcid.org/0000-0002-1632-8313"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zequn Qin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818877","display_name":"Songyuan Li","orcid":"https://orcid.org/0000-0003-4052-1006"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyuan Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407758","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-3023-1662"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3023-1662","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100696525"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":0.3884,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60017127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"44","issue":"10","first_page":"6011","last_page":"6023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.989300012588501,"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/computer-science","display_name":"Computer science","score":0.7084088325500488},{"id":"https://openalex.org/keywords/static-routing","display_name":"Static routing","score":0.6770960688591003},{"id":"https://openalex.org/keywords/equal-cost-multi-path-routing","display_name":"Equal-cost multi-path routing","score":0.6044549942016602},{"id":"https://openalex.org/keywords/multipath-routing","display_name":"Multipath routing","score":0.5150406360626221},{"id":"https://openalex.org/keywords/link-state-routing-protocol","display_name":"Link-state routing protocol","score":0.5124140381813049},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.49886465072631836},{"id":"https://openalex.org/keywords/policy-based-routing","display_name":"Policy-based routing","score":0.49775364995002747},{"id":"https://openalex.org/keywords/dynamic-source-routing","display_name":"Dynamic Source Routing","score":0.46912384033203125},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41480278968811035},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3007698655128479},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.2197931408882141}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084088325500488},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.6770960688591003},{"id":"https://openalex.org/C115443555","wikidata":"https://www.wikidata.org/wiki/Q5367790","display_name":"Equal-cost multi-path routing","level":5,"score":0.6044549942016602},{"id":"https://openalex.org/C76522221","wikidata":"https://www.wikidata.org/wiki/Q5035396","display_name":"Multipath routing","level":5,"score":0.5150406360626221},{"id":"https://openalex.org/C89305328","wikidata":"https://www.wikidata.org/wiki/Q1755411","display_name":"Link-state routing protocol","level":4,"score":0.5124140381813049},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.49886465072631836},{"id":"https://openalex.org/C196423136","wikidata":"https://www.wikidata.org/wiki/Q7209671","display_name":"Policy-based routing","level":5,"score":0.49775364995002747},{"id":"https://openalex.org/C9659607","wikidata":"https://www.wikidata.org/wiki/Q1268903","display_name":"Dynamic Source Routing","level":4,"score":0.46912384033203125},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41480278968811035},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3007698655128479},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.2197931408882141}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3084680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3084680","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer 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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34048337","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34048337","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 transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8778414158","display_name":null,"funder_award_id":"U20A20222","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":66,"referenced_works":["https://openalex.org/W1996901117","https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2181101938","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2325237720","https://openalex.org/W2562731582","https://openalex.org/W2604998962","https://openalex.org/W2781486669","https://openalex.org/W2798722023","https://openalex.org/W2884751099","https://openalex.org/W2962677625","https://openalex.org/W2962944050","https://openalex.org/W2963024474","https://openalex.org/W2963145730","https://openalex.org/W2963346150","https://openalex.org/W2963363373","https://openalex.org/W2963393494","https://openalex.org/W2963446712","https://openalex.org/W2963918968","https://openalex.org/W2963993763","https://openalex.org/W2964233199","https://openalex.org/W2966225497","https://openalex.org/W2966950562","https://openalex.org/W2967733054","https://openalex.org/W2972830778","https://openalex.org/W2981698279","https://openalex.org/W2981812042","https://openalex.org/W3007122219","https://openalex.org/W3010833785","https://openalex.org/W3034421924","https://openalex.org/W3035424951","https://openalex.org/W3035524453","https://openalex.org/W3035678286","https://openalex.org/W3092348244","https://openalex.org/W3103461182","https://openalex.org/W3107401339","https://openalex.org/W3107849462","https://openalex.org/W3109632933","https://openalex.org/W4297796628","https://openalex.org/W6600213771","https://openalex.org/W6631798071","https://openalex.org/W6637891497","https://openalex.org/W6638523607","https://openalex.org/W6674330103","https://openalex.org/W6677580257","https://openalex.org/W6685716381","https://openalex.org/W6686024063","https://openalex.org/W6688435802","https://openalex.org/W6701498492","https://openalex.org/W6703116779","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6729059855","https://openalex.org/W6729448088","https://openalex.org/W6745447533","https://openalex.org/W6748163181","https://openalex.org/W6750566404","https://openalex.org/W6755526309","https://openalex.org/W6756887525","https://openalex.org/W6757036269","https://openalex.org/W6762718338","https://openalex.org/W6767994309","https://openalex.org/W6776082042","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W1997091564","https://openalex.org/W3127002380","https://openalex.org/W2152381136","https://openalex.org/W2181601090","https://openalex.org/W2102655743","https://openalex.org/W4253436398","https://openalex.org/W2351097701","https://openalex.org/W2001312276","https://openalex.org/W2607223747","https://openalex.org/W2369989480"],"abstract_inverted_index":{"Dynamic":[0],"routing":[1,8,32,40,51,63,77,97,104,126,145],"networks,":[2,12],"aimed":[3],"at":[4],"finding":[5],"the":[6,11,54,76,89,101,107,122],"best":[7],"paths":[9,71,105],"in":[10,20,34,75,125],"have":[13],"achieved":[14],"significant":[15],"improvements":[16],"to":[17,49,87],"neural":[18],"networks":[19,33],"terms":[21],"of":[22,56,61,103,109],"accuracy":[23,153],"and":[24,95,111,154,166],"efficiency.":[25,155],"In":[26],"this":[27],"paper,":[28],"we":[29,80,140],"see":[30],"dynamic":[31,62,144],"a":[35,39,43,46,50,82,92,96,142,150],"fresh":[36],"light,":[37],"formulating":[38],"method":[41,162],"as":[42],"mapping":[44],"from":[45],"sample":[47,93],"space":[48,57,94,98],"space.":[52,78],"From":[53],"perspective":[55],"mapping,":[58],"prevalent":[59],"methods":[60],"did":[64],"not":[65],"take":[66],"into":[67,121,136],"account":[68],"how":[69],"inference":[70],"would":[72],"be":[73,119,134],"distributed":[74],"Thus,":[79],"propose":[81],"novel":[83],"method,":[84],"termed":[85],"CoDiNet,":[86],"model":[88],"relationship":[90],"between":[91,152],"by":[99],"regularizing":[100],"distribution":[102],"with":[106,115,130],"properties":[108],"consistency":[110],"diversity.":[112],"Specifically,":[113],"samples":[114],"similar":[116],"semantics":[117,132],"should":[118,133],"mapped":[120,135],"same":[123],"area":[124],"space,":[127],"while":[128],"those":[129],"dissimilar":[131],"different":[137],"areas.":[138],"Moreover,":[139],"design":[141],"customizable":[143],"module,":[146],"which":[147],"can":[148],"strike":[149],"balance":[151],"When":[156],"deployed":[157],"upon":[158],"ResNet":[159],"models,":[160],"our":[161],"achieves":[163],"higher":[164],"performance":[165],"effectively":[167],"reduces":[168],"average":[169],"computational":[170],"cost":[171],"on":[172],"four":[173],"widely":[174],"used":[175],"datasets.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}