{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T05:46:12Z","timestamp":1782798372755,"version":"3.54.5"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T00:00:00Z","timestamp":1779062400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T00:00:00Z","timestamp":1779062400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002766","name":"Beijing University of Posts and Telecommunications","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002766","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,18]]},"DOI":"10.1109\/infocom59046.2026.11571556","type":"proceedings-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T19:38:15Z","timestamp":1782761895000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Decoupled Generalizable Spatiotemporal Learning for Wireless Traffic Prediction"],"prefix":"10.1109","author":[{"given":"Qi","family":"Li","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications (BUPT),School of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Yao","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications (BUPT),School of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications (BUPT),School of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shihang","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications (BUPT),School of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications (BUPT),School of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Zhu","sequence":"additional","affiliation":[{"name":"China Mobile Jiutian Research,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolei","family":"Hua","sequence":"additional","affiliation":[{"name":"China Mobile Jiutian Research,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renkai","family":"Yu","sequence":"additional","affiliation":[{"name":"China Mobile Jiutian Research,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3109614"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2023.3324486"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v40i18.38599"},{"key":"ref4","article-title":"Less but more: Linear adaptive graph learning empowering spatiotemporal forecasting","author":"Ma","year":"2025","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33247"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557702"},{"key":"ref7","article-title":"A time series is worth 64 words: Long-term forecasting with transformers","volume-title":"The Eleventh International Conference on Learning Representations","author":"Nie"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref9","article-title":"Root mean square layer normalization","volume":"32","author":"Zhang","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"16 049","article-title":"How does information bottleneck help deep learning?","volume-title":"International conference on machine learning","author":"Kawaguchi"},{"key":"ref11","article-title":"Time-moe: Billion-scale time series foundation models with mixture of experts","volume-title":"The Thirteenth International Conference on Learning Representations","author":"Shi"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2015.55"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615160"},{"key":"ref14","article-title":"itransformer: Inverted transformers are effective for time series forecasting","volume-title":"The Twelfth International Conference on Learning Representations","author":"Liu"}],"event":{"name":"IEEE INFOCOM 2026 - IEEE Conference on Computer Communications","location":"Tokyo, Japan","start":{"date-parts":[[2026,5,18]]},"end":{"date-parts":[[2026,5,21]]}},"container-title":["IEEE INFOCOM 2026 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11571071\/11571169\/11571556.pdf?arnumber=11571556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T05:32:56Z","timestamp":1782797576000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11571556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,18]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/infocom59046.2026.11571556","relation":{},"subject":[],"published":{"date-parts":[[2026,5,18]]}}}