{"id":"https://openalex.org/W2894994475","doi":"https://doi.org/10.1109/tpami.2018.2873305","title":"Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer","display_name":"Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2894994475","doi":"https://doi.org/10.1109/tpami.2018.2873305","mag":"2894994475","pmid":"https://pubmed.ncbi.nlm.nih.gov/30281439"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2873305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2873305","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/A5043643513","display_name":"Shaohui Lin","orcid":"https://orcid.org/0000-0003-0284-9940"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Lin","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-0284-9940","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-9163-2932","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408350","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0002-4068-6460"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["Youtu Lab, Tencent Corp., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent Corp., Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["the Faculty of Engineering and Information Technologies, UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies, the University of Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"the Faculty of Engineering and Information Technologies, UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies, the University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, USA"],"raw_orcid":"https://orcid.org/0000-0002-4516-9729","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.2683,"has_fulltext":false,"cited_by_count":173,"citation_normalized_percentile":{"value":0.98201266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"41","issue":"12","first_page":"2889","last_page":"2905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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":0.8537728190422058},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8498388528823853},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7443751692771912},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7001199126243591},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.547874927520752},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5470666289329529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4750892221927643},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.44444796442985535},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4137963652610779},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40997955203056335},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3495856523513794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34081122279167175},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33471280336380005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3314368724822998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8537728190422058},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8498388528823853},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7443751692771912},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7001199126243591},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.547874927520752},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5470666289329529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4750892221927643},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44444796442985535},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4137963652610779},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40997955203056335},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3495856523513794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34081122279167175},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33471280336380005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3314368724822998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2018.2873305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2873305","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:30281439","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30281439","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/G1353530241","display_name":null,"funder_award_id":"U1705262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2594239301","display_name":"\u6076\u52a3\u73af\u5883\u4e0b\u9065\u611f\u56fe\u50cf\u5c0f\u76ee\u6807\u9c81\u68d2\u68c0\u6d4b\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61772443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5711944514","display_name":null,"funder_award_id":"DP-180103424","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6328948108","display_name":null,"funder_award_id":"61705262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7519899501","display_name":null,"funder_award_id":"FL-170100117","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7529411012","display_name":"\u57fa\u4e8e\u9690\u5f0f\u5206\u89e3\u7684\u65f6\u95f4\u5e8f\u5217\u7ed3\u6784\u6a21\u578b\u7684\u63a8\u7406\u4e0e\u9884\u6d4b\u7814\u7a76","funder_award_id":"61572410","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"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":104,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1533861849","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1724438581","https://openalex.org/W1798945469","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1902934009","https://openalex.org/W1904365287","https://openalex.org/W1919191429","https://openalex.org/W1996901117","https://openalex.org/W2089468765","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2104636679","https://openalex.org/W2112796928","https://openalex.org/W2114766824","https://openalex.org/W2117539524","https://openalex.org/W2125389748","https://openalex.org/W2134797427","https://openalex.org/W2147062276","https://openalex.org/W2152332944","https://openalex.org/W2155893237","https://openalex.org/W2161591461","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2167215970","https://openalex.org/W2168894214","https://openalex.org/W2172166488","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2260663238","https://openalex.org/W2279098554","https://openalex.org/W2294370754","https://openalex.org/W2300242332","https://openalex.org/W2395611524","https://openalex.org/W2400429454","https://openalex.org/W2511131004","https://openalex.org/W2531409750","https://openalex.org/W2554242204","https://openalex.org/W2575345876","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2707890836","https://openalex.org/W2807961551","https://openalex.org/W2950248853","https://openalex.org/W2952899695","https://openalex.org/W2953127297","https://openalex.org/W2962835968","https://openalex.org/W2962965870","https://openalex.org/W2962988160","https://openalex.org/W2963000224","https://openalex.org/W2963048316","https://openalex.org/W2963114950","https://openalex.org/W2963125010","https://openalex.org/W2963331432","https://openalex.org/W2963363373","https://openalex.org/W2963446712","https://openalex.org/W2963504571","https://openalex.org/W2963674932","https://openalex.org/W2963911037","https://openalex.org/W2964118293","https://openalex.org/W2964217848","https://openalex.org/W2964233199","https://openalex.org/W2964299589","https://openalex.org/W4293450887","https://openalex.org/W4297775537","https://openalex.org/W6600609147","https://openalex.org/W6620707391","https://openalex.org/W6625900113","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6637551013","https://openalex.org/W6637709462","https://openalex.org/W6638060716","https://openalex.org/W6638444622","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6639703010","https://openalex.org/W6640036494","https://openalex.org/W6649495467","https://openalex.org/W6677103964","https://openalex.org/W6678583879","https://openalex.org/W6679667936","https://openalex.org/W6679909955","https://openalex.org/W6683826617","https://openalex.org/W6684191040","https://openalex.org/W6684563725","https://openalex.org/W6684665197","https://openalex.org/W6685405536","https://openalex.org/W6685627644","https://openalex.org/W6686024063","https://openalex.org/W6692521979","https://openalex.org/W6695314431","https://openalex.org/W6698200048","https://openalex.org/W6725448924","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6729623471","https://openalex.org/W6732014465","https://openalex.org/W6737664043","https://openalex.org/W6739917289"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W3102660566"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4,179],"achieved":[5],"remarkable":[6],"success":[7],"in":[8,43],"various":[9],"computer":[10],"vision":[11],"tasks,":[12],"which":[13,39,96,122,233],"are":[14,247],"extremely":[15],"powerful":[16],"to":[17,112,128,173],"deal":[18],"with":[19],"massive":[20],"training":[21,146],"data":[22],"by":[23,87],"using":[24],"tens":[25],"of":[26,28,133,189,224],"millions":[27],"parameters.":[29],"However,":[30],"CNNs":[31],"often":[32],"cost":[33],"significant":[34],"memory":[35],"and":[36,101,119,156,165,182,186,195,230,244],"computation":[37],"consumption,":[38],"prohibits":[40],"their":[41],"usage":[42],"resource-limited":[44],"environments":[45],"such":[46,84],"as":[47],"mobile":[48],"or":[49,68],"embedded":[50],"devices.":[51],"To":[52,150],"address":[53],"the":[54,57,65,70,131,134,152,158,184,190,202,211,217,222,239],"above":[55],"issues,":[56],"existing":[58,135],"approaches":[59],"typically":[60],"focus":[61],"on":[62,193],"either":[63],"accelerating":[64],"convolutional":[66,100,117],"layers":[67,72],"compressing":[69],"fully-connected":[71,102,120],"separatedly,":[73],"without":[74],"pursuing":[75],"a":[76,85,89,105,124,140,169],"joint":[77],"optimum.":[78],"In":[79,199],"this":[80],"paper,":[81],"we":[82],"overcome":[83,157],"limitation":[86],"introducing":[88],"holistic":[90],"CNN":[91],"compression":[92,185,219],"framework,":[93],"termed":[94],"LRDKT,":[95],"works":[97],"throughout":[98],"both":[99,116,200],"layers.":[103],"First,":[104],"low-rank":[106],"decomposition":[107],"(LRD)":[108],"scheme":[109,147,204,220],"is":[110,148],"proposed":[111,191,203,218],"remove":[113],"redundancies":[114],"across":[115],"kernels":[118],"matrices,":[121],"has":[123,205],"novel":[125,141],"closed-form":[126],"solver":[127],"significantly":[129],"improve":[130],"efficiency":[132],"iterative":[136],"optimization":[137],"solvers.":[138],"Second,":[139],"knowledge":[142],"transfer":[143,225],"(KT)":[144],"based":[145],"introduced.":[149],"recover":[151],"accumulated":[153],"accuracy":[154],"loss":[155],"vanishing":[159],"gradient,":[160],"KT":[161],"explicitly":[162],"aligns":[163],"outputs":[164],"intermediate":[166],"responses":[167],"from":[168],"teacher":[170],"(original)":[171],"network":[172],"its":[174],"student":[175],"(compressed)":[176],"network.":[177],"We":[178,214],"comprehensively":[180],"analyzed":[181],"evaluated":[183],"speedup":[187],"ratios":[188],"model":[192],"MNIST":[194],"ILSVRC":[196],"2012":[197],"benchmarks.":[198],"benchmarks,":[201],"demonstrated":[206],"superior":[207],"performance":[208,236],"gains":[209,237],"over":[210,238],"state-of-the-art":[212],"methods.":[213],"also":[215],"demonstrate":[216],"for":[221],"task":[223],"learning,":[226],"including":[227],"domain":[228],"adaptation":[229],"object":[231],"detection,":[232],"show":[234],"exciting":[235],"state-of-the-arts.":[240],"Our":[241],"source":[242],"code":[243],"compressed":[245],"models":[246],"available":[248],"at":[249],"https://github.com/ShaohuiLin/LRDKT.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}