{"id":"https://openalex.org/W3186314399","doi":"https://doi.org/10.1109/tnet.2021.3097137","title":"Interactive Anomaly Detection in Dynamic Communication Networks","display_name":"Interactive Anomaly Detection in Dynamic Communication Networks","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3186314399","doi":"https://doi.org/10.1109/tnet.2021.3097137","mag":"3186314399"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2021.3097137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2021.3097137","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarsphere.psu.edu/resources/f5783657-83d4-4f6b-afda-325ea564d6c8/downloads/20347","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101502904","display_name":"Xuying Meng","orcid":"https://orcid.org/0000-0002-0095-4811"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuying Meng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0095-4811","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029640741","display_name":"Yequan Wang","orcid":"https://orcid.org/0000-0001-7530-6125"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yequan Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7530-6125","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011048500","display_name":"Suhang Wang","orcid":"https://orcid.org/0000-0003-3448-4878"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suhang Wang","raw_affiliation_strings":["College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070236880","display_name":"Di Yao","orcid":"https://orcid.org/0000-0003-1778-8319"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Yao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1778-8319","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100751750","display_name":"Yujun Zhang","orcid":"https://orcid.org/0000-0002-6151-7519"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, University of Chinese Academy Sciences, Beijing, China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6151-7519","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Chinese Academy Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5213,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72865757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"29","issue":"6","first_page":"2602","last_page":"2615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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":0.8259016275405884},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7085590958595276},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5796929597854614},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4821448028087616},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4582156538963318},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45760679244995117},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4434114098548889},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43697723746299744},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.4192425012588501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32042598724365234},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1698656976222992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259016275405884},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7085590958595276},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5796929597854614},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4821448028087616},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4582156538963318},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45760679244995117},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4434114098548889},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43697723746299744},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.4192425012588501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32042598724365234},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1698656976222992},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnet.2021.3097137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2021.3097137","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-article"},{"id":"pmh:oai:scholarsphere.psu.edu:32cd2287-eab9-4a87-ab06-0b0448787236","is_oa":true,"landing_page_url":"https://scholarsphere.psu.edu/resources/32cd2287-eab9-4a87-ab06-0b0448787236","pdf_url":"https://scholarsphere.psu.edu/resources/f5783657-83d4-4f6b-afda-325ea564d6c8/downloads/20347","source":{"id":"https://openalex.org/S4306401507","display_name":"ScholarSphere (Penn State Libraries)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3130638595","host_organization_name":"Pangasinan State University","host_organization_lineage":["https://openalex.org/I3130638595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:scholarsphere.psu.edu:32cd2287-eab9-4a87-ab06-0b0448787236","is_oa":true,"landing_page_url":"https://scholarsphere.psu.edu/resources/32cd2287-eab9-4a87-ab06-0b0448787236","pdf_url":"https://scholarsphere.psu.edu/resources/f5783657-83d4-4f6b-afda-325ea564d6c8/downloads/20347","source":{"id":"https://openalex.org/S4306401507","display_name":"ScholarSphere (Penn State Libraries)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3130638595","host_organization_name":"Pangasinan State University","host_organization_lineage":["https://openalex.org/I3130638595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1025052068","display_name":null,"funder_award_id":"62002343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2095704611","display_name":null,"funder_award_id":"61902382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3692187314","display_name":"\u57fa\u4e8e\u7528\u6237\u53cd\u9988\u7684\u4e2a\u6027\u5316\u63a8\u8350\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61972381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4574971863","display_name":null,"funder_award_id":"XDC02030500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6690208708","display_name":null,"funder_award_id":"XDC02030500","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7338629080","display_name":null,"funder_award_id":"KFZD-SW-440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7493839033","display_name":null,"funder_award_id":"KFZD-SW-440","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3186314399.pdf"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W32779056","https://openalex.org/W1483288229","https://openalex.org/W1487320471","https://openalex.org/W1513231349","https://openalex.org/W1530595269","https://openalex.org/W1717978628","https://openalex.org/W1839697241","https://openalex.org/W2013357884","https://openalex.org/W2026258420","https://openalex.org/W2039522160","https://openalex.org/W2093168265","https://openalex.org/W2112420033","https://openalex.org/W2122646361","https://openalex.org/W2128873747","https://openalex.org/W2149721706","https://openalex.org/W2164128149","https://openalex.org/W2168405694","https://openalex.org/W2278186031","https://openalex.org/W2346714907","https://openalex.org/W2398336627","https://openalex.org/W2443763917","https://openalex.org/W2584401436","https://openalex.org/W2609866817","https://openalex.org/W2752364363","https://openalex.org/W2767586661","https://openalex.org/W2787947370","https://openalex.org/W2788154850","https://openalex.org/W2790209388","https://openalex.org/W2793172510","https://openalex.org/W2809108362","https://openalex.org/W2853755454","https://openalex.org/W2905520682","https://openalex.org/W2906694449","https://openalex.org/W2906836970","https://openalex.org/W2910068345","https://openalex.org/W2962818688","https://openalex.org/W2963964957","https://openalex.org/W2964560279","https://openalex.org/W3080262031","https://openalex.org/W3128318087","https://openalex.org/W3153860772","https://openalex.org/W3155322940","https://openalex.org/W4297732237","https://openalex.org/W4299286629","https://openalex.org/W6629353124","https://openalex.org/W6630632610","https://openalex.org/W6631782964","https://openalex.org/W6638827766","https://openalex.org/W6684588631","https://openalex.org/W6718820882","https://openalex.org/W6736081208","https://openalex.org/W6739511181","https://openalex.org/W6743600924","https://openalex.org/W6748495906","https://openalex.org/W6748793842","https://openalex.org/W6749557911","https://openalex.org/W6758101687","https://openalex.org/W7049215199"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Network":[0],"flows":[1,175,178],"are":[2,67],"the":[3,7,10,63,71,80,99,122,139,154,195,200,212],"basic":[4],"components":[5],"of":[6,13,49,74,145,156,185,199,215],"Internet.":[8],"Considering":[9],"serious":[11],"consequences":[12],"abnormal":[14,50,82],"flows,":[15,51],"it":[16,92],"is":[17,40,132],"crucial":[18],"to":[19,44,96,137,142,152,170,179,220],"provide":[20,138,191],"timely":[21,94],"anomaly":[22,31,114,222],"detection":[23,32,115,223],"in":[24,34,116,159],"dynamic":[25,35,117],"communication":[26,118],"networks.":[27,119],"To":[28,101],"obtain":[29,45],"accurate":[30],"results":[33],"networks,":[36],"supervision":[37,95,131],"from":[38,54],"experts":[39,61,136],"highly":[41],"demanded.":[42],"However,":[43],"high-quality":[46],"ground":[47,140],"truth":[48,141],"we":[52,105,163,190],"suffer":[53],"two":[55,192],"major":[56],"problems:":[57],"(1)limited":[58],"labor":[59],"resources:":[60],"with":[62,203],"latest":[64],"domain":[65],"knowledge":[66],"much":[68],"fewer":[69],"than":[70],"large":[72],"number":[73],"flows;":[75],"and":[76,87,167,176,183],"(2)dynamic":[77],"environment:":[78],"considering":[79],"new":[81,85,177],"patterns":[83],"(i.e.,":[84],"attacks)":[86],"continuously":[88],"changing":[89],"network":[90],"structures,":[91],"requires":[93],"adaptively":[97],"update":[98],"parameters.":[100],"tackle":[102],"these":[103],"problems,":[104],"propose":[106],"HADDN,":[107],"a":[108,125,143],"novel":[109],"bandit":[110,126],"framework":[111],"for":[112,194],"periodic-updated":[113],"We":[120,147],"formulate":[121],"task":[123],"as":[124],"problem,":[127],"where":[128],"by":[129,134],"interactions,":[130],"offered":[133],"human":[135],"fraction":[144],"flows.":[146],"construct":[148],"semi-parametric":[149,196],"expected":[150,197],"rewards":[151],"optimize":[153],"estimation":[155],"flows\u2019":[157],"abnormality":[158,186],"limited":[160],"interactions.":[161],"Also,":[162],"utilize":[164],"feature-based":[165],"clusters":[166],"structural":[168],"correlations":[169],"make":[171],"connections":[172],"between":[173],"historical":[174],"improve":[180],"both":[181],"efficiency":[182],"accuracy":[184],"estimation.":[187],"What\u2019s":[188],"more,":[189],"implementations":[193],"reward":[198],"proposed":[201,217],"HADDN":[202],"theoretical":[204],"proof.":[205],"Experimental":[206],"evaluations":[207],"on":[208],"public":[209],"datasets":[210],"demonstrate":[211],"substantial":[213],"improvement":[214],"our":[216],"approaches":[218],"compared":[219],"state-of-art":[221],"methods.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
