{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T02:01:32Z","timestamp":1772935292890,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"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":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401852","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"1984-1993","source":"Crossref","is-referenced-by-count":0,"title":["Autoregressive Low-Rank Tensor Completion with Schatten Capped p-Norm for Traffic Data Imputation"],"prefix":"10.1109","author":[{"given":"Yao","family":"Li","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences, Sichuan Normal University,Chengdu,China,610068"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianyu","family":"Shu","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Sichuan Normal University,Chengdu,China,610068"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianjun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Southwest University,Chongqing,China,400715"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2178837"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3141214"},{"key":"ref3","article-title":"Fast multivariate spatio-temporal analysis via low rank tensor learning","volume":"27","author":"Bahadori","year":"2014","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CC.2014.6895380"},{"issue":"1","key":"ref5","first-page":"84","article-title":"Foundations of the parafac procedure: Models and conditions for an \u201cexplanatory\u201d multi-modal factor analysis","volume":"16","author":"Harshman","year":"1970","journal-title":"UCLA working papers in phonetics"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.39"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2015.09.105"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.271"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.526"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102673"},{"key":"ref12","article-title":"Temporal regularized matrix factorization for high-dimensional time series prediction","volume":"29","author":"Yu","year":"2016","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2954868"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103226"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-023-00412-w"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.12.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2854968"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3066551"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103228"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1592568.1592600"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886712"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.09.011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2891760"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3155949"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00615"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/nla.2299"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2586759"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v26i1.8210"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-019-01108-9"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-017-9971-0"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2020.2978465"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3319033"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.03.003"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.11.003"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401852.pdf?arnumber=11401852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:29:21Z","timestamp":1772868561000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401852\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401852","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}