{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:12:30Z","timestamp":1761894750932,"version":"build-2065373602"},"reference-count":28,"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\/icme59968.2025.11210227","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":["DiffMissing: Denoising Diffusion Model for Multivariate Time Series Forecasting with Variable Missing"],"prefix":"10.1109","author":[{"given":"Bingheng","family":"Pang","sequence":"first","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuoxuan","family":"Liang","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yidan","family":"Chen","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihong","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moustafa","family":"Youssef","sequence":"additional","affiliation":[{"name":"The American University in Cairo,Egyptian Wireless Research Center of Excellence,Cairo,Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/14697688.2023.2299466"},{"key":"ref2","first-page":"2433","article-title":"Weathergnn: Exploiting meteo-and spatial-dependencies for local numerical weather prediction bias-correction","volume-title":"Proceedings of the International Joint Conference on Artificial Intelligence","author":"Wu"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3531326"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3056502"},{"article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","volume-title":"International Conference on Learning Representations","author":"Li","key":"ref5"},{"key":"ref6","first-page":"22419","article-title":"Auto-former: Decomposition transformers with auto-correlation for long-term series forecasting","volume":"34","author":"Wu","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i11.29155"},{"key":"ref8","first-page":"24804","article-title":"Csdi: Conditional score-based diffusion models for probabilistic time series imputation","volume":"34","author":"Tashiro","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00903-7"},{"article-title":"Reconstructing missing variables for multivariate time series forecasting via conditional generative flows","volume-title":"Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI)","author":"Hu","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3305542"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24271-9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615097"},{"article-title":"Biased temporal convolution graph network for time series forecasting with missing values","volume-title":"The Twelfth International Conference on Learning Representations","author":"Chen","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3672055"},{"article-title":"Speech self-supervised learning using diffusion model synthetic data","volume-title":"Forty-first International Conference on Machine Learning","author":"Gao","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00428"},{"key":"ref18","first-page":"39957","article-title":"Ar-diffusion: Auto-regressive diffusion model for text generation","volume":"36","author":"Wu","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599257"},{"key":"ref20","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in neural information processing systems"},{"article-title":"Probabilistic time series modeling with decomposable denoising diffusion model","volume-title":"Forty-first International Conference on Machine Learning","author":"Yan","key":"ref21"},{"article-title":"Diffusion-ts: Interpretable diffusion for general time series generation","volume-title":"The Twelfth International Conference on Learning Representations","author":"Yuan","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679532"},{"article-title":"itransformer: Inverted transformers are effective for time series forecasting","volume-title":"The Twelfth International Conference on Learning Representations","author":"Liu","key":"ref24"},{"article-title":"Timemixer: Decomposable multiscale mixing for time series forecasting","volume-title":"The Twelfth International Conference on Learning Representations","author":"Wang","key":"ref25"},{"key":"ref26","article-title":"Multivariate time series imputation with generative adversarial networks","author":"Luo","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557702"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599533"}],"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\/11210227.pdf?arnumber=11210227","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:35:11Z","timestamp":1761888911000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11210227\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11210227","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}