{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T10:07:54Z","timestamp":1785838074227,"version":"3.56.0"},"reference-count":20,"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"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","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":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209795","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":2,"title":["MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs"],"prefix":"10.1109","author":[{"given":"Wei","family":"Tao","sequence":"first","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyang","family":"Qu","sequence":"additional","affiliation":[{"name":"Ping An Technology (Shenzhen) Co., Ltd.,Shenzhen,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Lu","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiguang","family":"Wan","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guokuan","family":"Li","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianzong","family":"Wang","sequence":"additional","affiliation":[{"name":"Ping An Technology (Shenzhen) Co., Ltd.,Shenzhen,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","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":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447725"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00147"},{"key":"ref5","article-title":"Deep autoencoding gaussian mixture model for unsupervised anomaly detection","volume-title":"International Conference on Learning Representations","author":"Zong"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403392"},{"key":"ref7","article-title":"Timesnet: Temporal 2d-variation modeling for general time series analysis","volume-title":"The Eleventh International Conference on Learning Representations","author":"Wu"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.14778\/3476311.3476380"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.14778\/3632093.3632101"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.14778\/3514061.3514067"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/DATE64628.2025.10992912"},{"key":"ref12","article-title":"Test: Text prototype aligned embedding to activate llm\u2019s ability for time series","volume-title":"The Twelfth International Conference on Learning Representations","author":"Sun"},{"key":"ref13","first-page":"2162","article-title":"Large language model guided knowledge distillation for time series anomaly detection","volume-title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","author":"Liu"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737239"},{"key":"ref15","article-title":"Unsupervised scalable representation learning for multivariate time series","volume":"32","author":"Franceschi","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref17","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","journal-title":"Universal Language Model Fine-tuning for Text Classification."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467174"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CySWater.2016.7469060"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219845"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","location":"Nantes, France","start":{"date-parts":[[2025,6,30]]},"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\/11209795.pdf?arnumber=11209795","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:51:17Z","timestamp":1761889877000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209795\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209795","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}