{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T03:23:36Z","timestamp":1784517816742,"version":"3.55.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,10]]},"DOI":"10.1109\/infocom42981.2021.9488755","type":"proceedings-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T00:07:32Z","timestamp":1627344452000},"page":"1-10","source":"Crossref","is-referenced-by-count":28,"title":["CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer"],"prefix":"10.1109","author":[{"given":"Ming","family":"Sun","sequence":"first","affiliation":[{"name":"Tsinghua University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ya","family":"Su","sequence":"additional","affiliation":[{"name":"Tsinghua University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shenglin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nankai University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanpu","family":"Cao","sequence":"additional","affiliation":[{"name":"Nankai University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"Liu","sequence":"additional","affiliation":[{"name":"Nankai University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Pei","sequence":"additional","affiliation":[{"name":"Tsinghua University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenfei","family":"Wu","sequence":"additional","affiliation":[{"name":"Tsinghua University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongsu","family":"Zhang","sequence":"additional","affiliation":[{"name":"ByteDance"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaozhou","family":"Liu","sequence":"additional","affiliation":[{"name":"ByteDance"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junliang","family":"Tang","sequence":"additional","affiliation":[{"name":"ByteDance"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2426723"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330680"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.03.028"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624168"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098144"},{"key":"ref14","author":"grafarend","year":"2006","journal-title":"Linear and Nonlinear Models Fixed Effects Random Effects and Mixed Models"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788611"},{"key":"ref16","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013"},{"key":"ref17","article-title":"Wasserstein gan","author":"arjovsky","year":"2017"},{"key":"ref18","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-Companion.2019.00023"},{"key":"ref27","article-title":"Analyzing alzheimer’s disease progression from sequential magnetic resonance imaging scans using deep 3d convolutional neural networks","author":"basu","year":"2018","journal-title":"NIPS"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2815675.2815679"},{"key":"ref6","article-title":"Deep autoencoding gaussian mixture model for unsupervised anomaly detection","author":"zong","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref29","first-page":"1063","article-title":"Cross-dataset time series anomaly detection for cloud systems","author":"zhang","year":"2019","journal-title":"2019 USENIX Annual Technical Conference ( USENIX ATC 19)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2801475"},{"key":"ref8","article-title":"Lstm-based encoder-decoder for multi-sensor anomaly detection","author":"malhotra","year":"2016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219845"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185996"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011409"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00357-014-9161-z"},{"key":"ref22","first-page":"270","author":"tan","year":"2018","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.039"},{"key":"ref24","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref23","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018"},{"key":"ref26","first-page":"3861","article-title":"Towards k-means-friendly spaces: Simultaneous deep learning and clustering","author":"yang","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning-Volume 70"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/406"}],"event":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","location":"Vancouver, BC, Canada","start":{"date-parts":[[2021,5,10]]},"end":{"date-parts":[[2021,5,13]]}},"container-title":["IEEE INFOCOM 2021 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9488422\/9488423\/09488755.pdf?arnumber=9488755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:14:23Z","timestamp":1659482063000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9488755\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,10]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/infocom42981.2021.9488755","relation":{},"subject":[],"published":{"date-parts":[[2021,5,10]]}}}