{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:27:29Z","timestamp":1772908049499,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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","award":["62173032"],"award-info":[{"award-number":["62173032"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20476"],"award-info":[{"award-number":["U21A20476"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foshan Science and Technology Innovation Special Project","award":["BK22BF005"],"award-info":[{"award-number":["BK22BF005"]}]},{"name":"Regional Joint Fund of the Guangdong Basic and Applied Basic Research Fund","award":["2022A1515140109"],"award-info":[{"award-number":["2022A1515140109"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tmc.2024.3461672","type":"journal-article","created":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T18:15:16Z","timestamp":1726510516000},"page":"394-406","source":"Crossref","is-referenced-by-count":16,"title":["WiPhase: A Human Activity Recognition Approach by Fusing of Reconstructed WiFi CSI Phase Features"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8722-3076","authenticated-orcid":false,"given":"Xingcan","family":"Chen","sequence":"first","affiliation":[{"name":"School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3112-2846","authenticated-orcid":false,"given":"Chenglin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5312-0677","authenticated-orcid":false,"given":"Chengpeng","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8513-5013","authenticated-orcid":false,"given":"Wei","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Automation and the Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2270-7889","authenticated-orcid":false,"given":"Wendong","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2405413"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.3045880"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3265867"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3073969"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3235268"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2023.3348694"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3122435"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2878233"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3191783"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2760915"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.2994955"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1925861.1925870"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3477086.3480833"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2941527"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2949123"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2635161"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16103"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2871445"},{"key":"ref19","article-title":"RF-Net: A unified meta-learning framework for RF-enabled one-shot human activity recognition","author":"Ding","year":"2021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2022.3163189"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1700082"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3320155"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3124328"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3302861"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS53394.2021.00006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3192973"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3326490"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3221902"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2679658"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3078738"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3149292"},{"key":"ref33","first-page":"6132","article-title":"Compositional de-attention networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Tay"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3078855"},{"key":"ref35","article-title":"Graph attention networks","volume-title":"Proc. 6th Int. Conf. Learn. Representations","author":"Velickovic"},{"key":"ref36","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Kingma"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3191755"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/10777875\/10681250.pdf?arnumber=10681250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T06:10:47Z","timestamp":1733379047000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10681250\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":38,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2024.3461672","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}