{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T16:41:19Z","timestamp":1776357679069,"version":"3.51.2"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"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":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tkde.2025.3533492","type":"journal-article","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T18:45:40Z","timestamp":1739472340000},"page":"2085-2096","source":"Crossref","is-referenced-by-count":4,"title":["RAGIC: Risk-Aware Generative Framework for Stock Interval Construction"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8010-8326","authenticated-orcid":false,"given":"Jingyi","family":"Gu","sequence":"first","affiliation":[{"name":"New Jersey Institute of Technology, Newark, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4925-0468","authenticated-orcid":false,"given":"Wenlu","family":"Du","sequence":"additional","affiliation":[{"name":"Skidmore College, Saratoga, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1880-4763","authenticated-orcid":false,"given":"Guiling","family":"Wang","sequence":"additional","affiliation":[{"name":"New Jersey Institute of Technology, Newark, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115537"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3309547"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3079496"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3188320"},{"key":"ref6","volume-title":"A Random Walk Down Wall Street: Including a Life-Cycle Guide to Personal Investing","author":"Malkiel","year":"1999"},{"key":"ref7","first-page":"6216","article-title":"Conformal time-series forecasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Stankeviciute"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4337\/9781786432759"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1037\/0096-3445.124.4.424"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.03.007"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20369"},{"key":"ref12","first-page":"8857","article-title":"Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Rasul"},{"key":"ref13","first-page":"23009","article-title":"Generative time series forecasting with diffusion, denoise, and disentanglement","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16568"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467358"},{"key":"ref16","article-title":"DP-LSTM: Differential privacy-inspired LSTM for stock prediction using financial news","author":"Li","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAAI.2017.27"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/366"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/810"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/640"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11155-007-9039-4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s40745-020-00307-8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.3.448"},{"key":"ref25","volume-title":"Bayesian Learning for Neural Networks","volume":"118","author":"Neal","year":"2012"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1257\/jep.15.4.143"},{"key":"ref28","article-title":"A multi-horizon quantile recurrent forecaster","author":"Wen","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2096824"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5194\/hess-13-1235-2009"},{"key":"ref31","article-title":"Deep ensembles: A loss landscape perspective","author":"Fort","year":"2019"},{"issue":"3","key":"ref32","first-page":"371","article-title":"A tutorial on conformal prediction","volume":"9","author":"Shafer","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref33","first-page":"21","article-title":"Generating text via adversarial training","volume-title":"Proc. NIPS Workshop Adversarial Training","author":"Zhang"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.308"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11312"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref37","article-title":"Time-series generative adversarial networks","volume":"32","author":"Yoon","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/14697688.2020.1730426"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkaa506"},{"key":"ref40","first-page":"534","article-title":"Adversarial neural machine translation","volume-title":"Proc. Asian Conf. Mach. Learn.","author":"Wu"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.01.256"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2021.188.196"},{"key":"ref43","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"ref45","first-page":"10524","article-title":"On layer normalization in the transformer architecture","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xiong"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/0304-405X(80)90021-5"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jempfin.2014.03.003"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.2308\/accr-50158"},{"key":"ref50","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018"},{"key":"ref51","volume-title":"Bollinger on Bollinger Bands","author":"Bollinger","year":"2002"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482315"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10918320\/10885039.pdf?arnumber=10885039","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T07:53:30Z","timestamp":1741420410000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10885039\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":52,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2025.3533492","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":[[2025,4]]}}}