{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T06:57:43Z","timestamp":1776409063243,"version":"3.51.2"},"reference-count":111,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Natural Science Research Project of Higher Education Institutions in Anhui Province","award":["YJS20210179"],"award-info":[{"award-number":["YJS20210179"]}]},{"name":"Research Program of Anhui Higher Education Institutions","award":["2022AH05019"],"award-info":[{"award-number":["2022AH05019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tits.2023.3296697","type":"journal-article","created":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T14:46:32Z","timestamp":1690382792000},"page":"14580-14597","source":"Crossref","is-referenced-by-count":14,"title":["PFNet: Large-Scale Traffic Forecasting With Progressive Spatio-Temporal Fusion"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3591-3806","authenticated-orcid":false,"given":"Chen","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu, China"}]},{"given":"Kaizhong","family":"Zuo","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9542-0574","authenticated-orcid":false,"given":"Shaokun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Key Laboratory on High-Confidence Software Technologies (MOE), School of CS, Peking University, Beijing, China"}]},{"given":"Hanwen","family":"Lei","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Key Laboratory on High-Confidence Software Technologies (MOE), School of CS, Peking University, Beijing, China"}]},{"given":"Peng","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu, China"}]},{"given":"Zhangyi","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu, China"}]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu, China"}]},{"given":"Peize","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116585"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0361198120930010"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12450"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.10.011"},{"key":"ref5","article-title":"GaAN: Gated attention networks for learning on large and spatiotemporal graphs","author":"Zhang","year":"2018","journal-title":"arXiv:1803.07294"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2204051"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2478602"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2645278"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2958185"},{"issue":"1","key":"ref10","first-page":"53","article-title":"City management platform using big data from people and traffic flows","volume":"64","author":"Morioka","year":"2015","journal-title":"Hitachi Rev."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2014.2306328"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2643005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2511156"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2639320"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1126\/science.1177170"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3208943"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2022.3215326"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3199160"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2022.3201879"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3148358"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3140229"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/03081068808717359"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/15472450902858368"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.837813"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2267735"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2247040"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/s18072287"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11836"},{"key":"ref29","article-title":"Short-term traffic flow forecasting with spatial\u2013temporal correlation in a hybrid deep learning framework","author":"Wu","year":"2016","journal-title":"arXiv:1612.01022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/trustcom\/bigdatase.2019.00096"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5477"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20587"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467430"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3072118"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00220"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00041"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20202"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref44","first-page":"10347","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Touvron"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00060"},{"key":"ref46","volume-title":"Time Series Analysis: Forecasting and Control","author":"Box","year":"2015"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102671"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.02.007"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.12.032"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119161"},{"key":"ref51","first-page":"6","article-title":"Short-term prediction of traffic situation using MLP-neural networks","volume-title":"Proc. 7th World Congr. Intell. Transp. Syst.","author":"Innamaa"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2016.0208"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2345663"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1061\/9780784479896.026"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2749964"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2726546"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/s17040818"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/s17071501"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ISCID.2017.216"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ISKE.2017.8258813"},{"key":"ref61","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xingjian"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.03.001"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2997352"},{"key":"ref64","article-title":"Spatio\u2013temporal graph convolutional networks: A deep learning framework for traffic forecasting","author":"Yu","year":"2017","journal-title":"arXiv:1709.04875"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25555"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901118"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380186"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/3565578"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3171451"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3173689"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3231959"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3234512"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.07.125"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.12.107"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3216678"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3078187"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119887"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3243122"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3196461"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115992"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2983763"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3183903"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3186707"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3164450"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.08.075"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3102983"},{"key":"ref88","first-page":"443","article-title":"Conformer-based end-to-end speech recognition with rotary position embedding","volume-title":"Proc. Asia\u2013Pacific","author":"Li"},{"key":"ref89","article-title":"BAST: Binaural audio spectrogram transformer for binaural sound localization","author":"Kuang","year":"2022","journal-title":"arXiv:2207.03927"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3185503"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3148105"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3197640"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2017.05.004"},{"key":"ref95","first-page":"1684","article-title":"Z-GCNETs: Time zigzags at graph convolutional networks for time series forecasting","volume-title":"Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17114"},{"key":"ref97","first-page":"17804","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Bai"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358132"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/274"},{"key":"ref101","first-page":"1","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Sutskever"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctv14jx6sm"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.3141\/1678-22"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/VNIS.1989.98810"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-92bf1922-011"},{"key":"ref108","article-title":"Low-rank autoregressive tensor completion for multivariate time series forecasting","author":"Chen","year":"2020","journal-title":"arXiv:2006.10436"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412754"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.3141\/1748-12"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3215613"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10339106\/10195833.pdf?arnumber=10195833","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T19:55:00Z","timestamp":1775246100000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10195833\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":111,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3296697","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}