{"id":"https://openalex.org/W2968371142","doi":"https://doi.org/10.1109/tnnls.2019.2928379","title":"Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains","display_name":"Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2968371142","doi":"https://doi.org/10.1109/tnnls.2019.2928379","mag":"2968371142","pmid":"https://pubmed.ncbi.nlm.nih.gov/31403446"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2928379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2928379","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","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/A5030063621","display_name":"Ching-Yun Ko","orcid":"https://orcid.org/0000-0002-8966-8570"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ching-Yun Ko","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8966-8570","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427128","display_name":"Cong Chen","orcid":"https://orcid.org/0000-0003-3376-5037"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cong Chen","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-3376-5037","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039671544","display_name":"Zhuolun He","orcid":"https://orcid.org/0009-0009-4909-6588"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhuolun He","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019021341","display_name":"Yuke Zhang","orcid":"https://orcid.org/0000-0001-5253-5478"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuke Zhang","raw_affiliation_strings":["Ming Hsieh Department of Electrical and Computer Engineering, University of South Carolina, Columbia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, University of South Carolina, Columbia, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069278165","display_name":"Kim Batselier","orcid":"https://orcid.org/0000-0001-7381-2630"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kim Batselier","raw_affiliation_strings":["Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-7381-2630","affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5621,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58441558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":"7","first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9878000020980835,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8675662279129028},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7627608776092529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6736359000205994},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5732218623161316},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5551908016204834},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4862140715122223},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4687291085720062},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4573310315608978},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4176226258277893},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40275314450263977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3880646228790283},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.24816104769706726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23100954294204712},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1734490692615509}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8675662279129028},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7627608776092529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736359000205994},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5732218623161316},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5551908016204834},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4862140715122223},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4687291085720062},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4573310315608978},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4176226258277893},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40275314450263977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3880646228790283},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.24816104769706726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23100954294204712},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1734490692615509},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2019.2928379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2928379","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"},{"id":"pmid:31403446","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31403446","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 neural networks and learning systems","raw_type":null},{"id":"pmh:oai:tudelft.nl:uuid:542077fa-62f1-4fb5-8a05-cb381160dc91","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:542077fa-62f1-4fb5-8a05-cb381160dc91","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"},{"id":"https://openalex.org/F4320334890","display_name":"University Research Committee, University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W1525535255","https://openalex.org/W1798945469","https://openalex.org/W1902934009","https://openalex.org/W1965392255","https://openalex.org/W1993482030","https://openalex.org/W2024165284","https://openalex.org/W2040370888","https://openalex.org/W2064052975","https://openalex.org/W2070450685","https://openalex.org/W2075665712","https://openalex.org/W2114766824","https://openalex.org/W2119412403","https://openalex.org/W2125389748","https://openalex.org/W2128744540","https://openalex.org/W2143352446","https://openalex.org/W2144351558","https://openalex.org/W2153074847","https://openalex.org/W2159687189","https://openalex.org/W2172166488","https://openalex.org/W2196348858","https://openalex.org/W2268476358","https://openalex.org/W2290998037","https://openalex.org/W2300242332","https://openalex.org/W2399803916","https://openalex.org/W2476464964","https://openalex.org/W2495425901","https://openalex.org/W2578339228","https://openalex.org/W2584613988","https://openalex.org/W2611378001","https://openalex.org/W2752006103","https://openalex.org/W2775593698","https://openalex.org/W2786294823","https://openalex.org/W2834136616","https://openalex.org/W2901039033","https://openalex.org/W2908860143","https://openalex.org/W2962751495","https://openalex.org/W2963048316","https://openalex.org/W2963114950","https://openalex.org/W2963276753","https://openalex.org/W2963551771","https://openalex.org/W2963674932","https://openalex.org/W2963737062","https://openalex.org/W2964003140","https://openalex.org/W2964213043","https://openalex.org/W2964299589","https://openalex.org/W3026440734","https://openalex.org/W3128947043","https://openalex.org/W4294526088","https://openalex.org/W4298155380","https://openalex.org/W6638060716","https://openalex.org/W6639703010","https://openalex.org/W6677103964","https://openalex.org/W6678583879","https://openalex.org/W6679233511","https://openalex.org/W6679667936","https://openalex.org/W6683309385","https://openalex.org/W6685405536","https://openalex.org/W6693692838","https://openalex.org/W6723181079","https://openalex.org/W6731894390","https://openalex.org/W6737377672","https://openalex.org/W6745442365","https://openalex.org/W6746930153","https://openalex.org/W6752544479","https://openalex.org/W6755967383","https://openalex.org/W6980906276"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4391547476","https://openalex.org/W2597809628"],"abstract_inverted_index":{"Sum-product":[0],"networks":[1,9],"(SPNs)":[2],"constitute":[3],"an":[4,25,65],"emerging":[5],"class":[6],"of":[7,83],"neural":[8],"with":[10,96],"clear":[11],"probabilistic":[12],"semantics":[13],"and":[14,30,56,70,89],"superior":[15],"inference":[16,90],"speed":[17],"over":[18],"other":[19],"graphical":[20],"models.":[21],"This":[22],"brief":[23],"reveals":[24],"important":[26],"connection":[27],"between":[28,52],"SPNs":[29,44],"tensor":[31,43],"trains":[32],"(TTs),":[33],"leading":[34],"to":[35,80],"a":[36,53,57,68,81],"new":[37],"canonical":[38],"form":[39],"which":[40],"we":[41,47,76],"call":[42],"(tSPNs).":[45],"Specifically,":[46],"demonstrate":[48,77],"the":[49,60],"intimate":[50],"relationship":[51],"valid":[54],"SPN":[55,66],"TT.":[58],"For":[59],"first":[61],"time,":[62],"through":[63],"mapping":[64],"onto":[67],"tSPN":[69],"employing":[71],"specially":[72],"customized":[73],"optimization":[74],"techniques,":[75],"improvements":[78],"up":[79],"factor":[82],"100":[84],"on":[85],"both":[86],"model":[87],"compression":[88],"speedup":[91],"for":[92],"various":[93],"data":[94],"sets":[95],"negligible":[97],"loss":[98],"in":[99],"accuracy.":[100]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
