{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:24:16Z","timestamp":1761895456561,"version":"build-2065373602"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11210144","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["AAAD: Asynchronous Inter-Variable Relationship-Aware Anomaly Detection for Multivariate Time Series"],"prefix":"10.1109","author":[{"given":"Hongyi","family":"Liu","sequence":"first","affiliation":[{"name":"Peking University,School of Software and Microelectronics,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaosong","family":"Huang","sequence":"additional","affiliation":[{"name":"Peking University,School of Computer Science,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengxi","family":"Jia","sequence":"additional","affiliation":[{"name":"Peking University,School of Software and Microelectronics,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingzhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peking University,School of Software and Microelectronics,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Jia","sequence":"additional","affiliation":[{"name":"Peking University,Institute for Artificial Intelligence,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhonghai","family":"Wu","sequence":"additional","affiliation":[{"name":"Peking University,School of Software and Microelectronics,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University,School of Software and Microelectronics,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.33682\/m76f-d618"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/UV50937.2020.9426191"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219845"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71368-7_8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467174"},{"key":"ref7","article-title":"Aiops challenge 2022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3444690"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3052449"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3691338"},{"article-title":"Deep autoencoding gaussian mixture model for unsupervised anomaly detection","volume-title":"International conference on learning representations","author":"Zong","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2017.2671247"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000008084.60811.49"},{"key":"ref14","first-page":"13016","article-title":"Timeseries anomaly detection using temporal hierarchical one-class network","volume":"33","author":"Shen","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747274"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00093"},{"journal-title":"Anomaly transformer: Time series anomaly detection with association discrepancy","year":"2021","author":"Xu","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/332"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS60048.2023.00033"},{"key":"ref20","article-title":"Aaad"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"article-title":"How attentive are graph attention networks?","volume-title":"International Conference on Learning Representations","author":"Brody","key":"ref22"},{"key":"ref23","first-page":"57947","article-title":"Memto: Memory-guided transformer for multivariate time series anomaly detection","volume":"36","author":"Song","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00466"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599295"},{"key":"ref28","first-page":"43322","article-title":"One fits all: Power general time series analysis by pretrained lm","volume":"36","author":"Zhou","year":"2023","journal-title":"Advances in neural information processing systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3335317"},{"journal-title":"Large language model guided knowledge distillation for time series anomaly detection","year":"2024","author":"Liu","key":"ref30"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11210144.pdf?arnumber=11210144","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:51:02Z","timestamp":1761889862000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11210144\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11210144","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}