{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T14:08:08Z","timestamp":1782396488514,"version":"3.54.5"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2022YFB2603304"],"award-info":[{"award-number":["2022YFB2603304"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52202402"],"award-info":[{"award-number":["52202402"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["KQTD20180412181337494"],"award-info":[{"award-number":["KQTD20180412181337494"]}]},{"name":"CCCC Science and Technology R&#x0026;D Project","award":["2021-ZJKJ-01"],"award-info":[{"award-number":["2021-ZJKJ-01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/tkde.2024.3360640","type":"journal-article","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T18:38:42Z","timestamp":1706726322000},"page":"3139-3150","source":"Crossref","is-referenced-by-count":26,"title":["Hierarchical Context Representation and Self-Adaptive Thresholding for Multivariate Anomaly Detection"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3341-1549","authenticated-orcid":false,"given":"Chunming","family":"Lin","sequence":"first","affiliation":[{"name":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0975-2367","authenticated-orcid":false,"given":"Bowen","family":"Du","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0157-1716","authenticated-orcid":false,"given":"Leilei","family":"Sun","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2574-0174","authenticated-orcid":false,"given":"Linchao","family":"Li","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Shenzhen), Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219845"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2801475"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403392"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.14778\/3514061.3514067"},{"key":"ref6","first-page":"1","article-title":"Anomaly transformer: Time series anomaly detection with association discrepancy","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3139916"},{"key":"ref8","article-title":"LSTM-based encoder-decoder for multi-sensor anomaly detection","author":"Malhotra","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185996"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/378"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23204"},{"key":"ref12","first-page":"1551","article-title":"Sparse neural networks for anomaly detection in high-dimensional time series","volume-title":"Proc. AI4IOT Workshop Conjunction ICML, IJCAI ECAI","author":"Gugulothu"},{"key":"ref13","article-title":"Anomaly detection with generative adversarial networks for multivariate time series","author":"Li","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30490-4_56"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s20133738"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3128667"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/616"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330776"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441823"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16523"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413847"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/smartiot.2018.00-13"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788611"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449903"},{"key":"ref25","article-title":"Long short term memory networks for anomaly detection in time series","volume-title":"Proc. Eur. Symp. Artif. Neural Netw. Comput. Intell. Mach. Learn.","author":"Malhotra"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1140\/epjst\/e2008-00829-1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/397"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20881"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330680"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011409"},{"key":"ref31","article-title":"Convolutional networks for images, speech, and time series","volume-title":"The Handbook of Brain Theory and Neural Networks","author":"LeCun","year":"1995"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref33","first-page":"10 183","article-title":"Synthesizer: Rethinking self-attention for transformer models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tay"},{"key":"ref34","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098144"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2006.06.012"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2500853.2500857"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467075"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00093"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10549876\/10417809.pdf?arnumber=10417809","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T13:20:20Z","timestamp":1719408020000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10417809\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":40,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3360640","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}