{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:17:51Z","timestamp":1740100671834,"version":"3.37.3"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T00:00:00Z","timestamp":1651622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T00:00:00Z","timestamp":1651622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,4]]},"DOI":"10.1109\/cscwd54268.2022.9776242","type":"proceedings-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T19:39:11Z","timestamp":1653075551000},"page":"968-972","source":"Crossref","is-referenced-by-count":0,"title":["STCIN: Spatial-Temporal Cross Interaction Networks for Urban Anomaly Prediction"],"prefix":"10.1109","author":[{"given":"Xu","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haina","family":"Tang","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulei","family":"Wu","sequence":"additional","affiliation":[{"name":"University of Exeter,Department of Computer Science,Exeter,United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuewen","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052601"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.52"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37453-1_40"},{"article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","year":"2017","author":"li","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref17","first-page":"802","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2016.2596103"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3161602"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/837"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10735","article-title":"Deep spatio-temporal residual networks for citywide crowd flows prediction","author":"zhang","year":"2017","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref7","article-title":"Segmentation of urban areas using road networks","author":"yuan","year":"2012","journal-title":"Microsoft Albuquerque NM USA Tech Rep MSR-TR-2012-65"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380296"},{"key":"ref1","article-title":"Urban anomaly analytics: Description, detection and prediction","author":"zhang","year":"2020","journal-title":"IEEE Transactions on Big Data"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2636073"}],"event":{"name":"2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","start":{"date-parts":[[2022,5,4]]},"location":"Hangzhou, China","end":{"date-parts":[[2022,5,6]]}},"container-title":["2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9775971\/9776016\/09776242.pdf?arnumber=9776242","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,5]],"date-time":"2023-02-05T20:33:25Z","timestamp":1675629205000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9776242\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,4]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/cscwd54268.2022.9776242","relation":{},"subject":[],"published":{"date-parts":[[2022,5,4]]}}}