{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T04:53:51Z","timestamp":1775883231697,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"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":["2024YFF0617700"],"award-info":[{"award-number":["2024YFF0617700"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23A20309"],"award-info":[{"award-number":["U23A20309"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272302"],"award-info":[{"award-number":["62272302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302273"],"award-info":[{"award-number":["62302273"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science Fund Program of Shandong Province for Distinguished Oversea Young Scholars","award":["2023HWYQ-006"],"award-info":[{"award-number":["2023HWYQ-006"]}]},{"name":"Bytedance Research Project","award":["CT20241217115379"],"award-info":[{"award-number":["CT20241217115379"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tkde.2026.3674583","type":"journal-article","created":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T20:16:46Z","timestamp":1773692206000},"page":"3277-3290","source":"Crossref","is-referenced-by-count":0,"title":["Uncertainty-Aware Online Time Series Multi-Step Forecasting Framework in Cloud Systems"],"prefix":"10.1109","volume":"38","author":[{"given":"Jiadong","family":"Chen","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong Universi- ty, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7617-6760","authenticated-orcid":false,"given":"Yang","family":"Luo","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong Universi- ty, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4443-1555","authenticated-orcid":false,"given":"Xiuqi","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&#x0026;CG, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7522-061X","authenticated-orcid":false,"given":"Fuxin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Bytedance Incorporated, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2923-2748","authenticated-orcid":false,"given":"Yangguang","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tieying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Bytedance Incorporated, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1776-8799","authenticated-orcid":false,"given":"Xiaofeng","family":"Gao","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong Universi- ty, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i13.26852"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i11.21509"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645330"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196908"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2903733"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS47924.2020.00085"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00385"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.07.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2021.03.012"},{"key":"ref11","article-title":"A time series is worth 64 words: Long-term forecasting with transformers","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Nie","year":"2023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26317"},{"key":"ref13","article-title":"TimeMixer: Decomposable multiscale mixing for time series forecasting","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang","year":"2023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599396"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2307\/2985674"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2003.09.015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.2017.1380080"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2307\/2699986"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/d14-1179"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330704"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-019-8395-7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33247"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-SEIP52600.2021.00024"},{"key":"ref27","first-page":"1660","article-title":"Adaptive conformal inference under distribution shift","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gibbs"},{"key":"ref28","first-page":"2337","article-title":"Improved online conformal prediction via strongly adaptive online learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bhatnagar"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/23-AOS2276"},{"key":"ref30","article-title":"Copula conformal prediction for multi-step time series forecasting","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Sun","year":"2024"},{"key":"ref31","article-title":"Online conformal inference for multi-step time series forecasting","author":"Wang","year":"2024"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.112"},{"key":"ref33","first-page":"2970","article-title":"Stateful posted pricing with vanishing regret via dynamic deterministic markov decision processes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Emek"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00233"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcss.2004.10.016"},{"key":"ref36","first-page":"26669","article-title":"Building robust ensembles via margin boosting","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3526074"},{"key":"ref38","first-page":"22316","article-title":"Follow the perturbed leader: Optimism and fast parallel algorithms for smooth minimax games","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Suggala"},{"key":"ref39","first-page":"845","article-title":"Online non-convex learning: Following the perturbed leader is optimal","volume-title":"Proc. 31st Int. Conf. Algorithmic Learn. Theory","author":"Suggala"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/b106715"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-018-5755-8"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065704001899"},{"key":"ref43","first-page":"155","article-title":"Support vector regression machines","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Drucker"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1201\/9781315139470"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog1402_1"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1002\/for.2963"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.02.011"},{"key":"ref49","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ke"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1006\/inco.1996.2612"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11479420\/11435627.pdf?arnumber=11435627","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T04:21:57Z","timestamp":1775881317000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11435627\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":50,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2026.3674583","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":[[2026,5]]}}}