{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T18:40:06Z","timestamp":1748284806622,"version":"3.41.0"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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":["62276112"],"award-info":[{"award-number":["62276112"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jilin Province Science and Technology Development","award":["20230201088GX"],"award-info":[{"award-number":["20230201088GX"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3564883","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T17:36:12Z","timestamp":1745861772000},"page":"2104-2108","source":"Crossref","is-referenced-by-count":0,"title":["Dual Space Representation Learning for Skeleton-Based Action Recognition"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7599-2823","authenticated-orcid":false,"given":"Yuheng","family":"Yang","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9410-4120","authenticated-orcid":false,"given":"Haipeng","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7981-9873","authenticated-orcid":false,"given":"Zhenguang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3297-6991","authenticated-orcid":false,"given":"Sihao","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Computing, Georgia Institute of Technology, Atlanta, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5630-7271","authenticated-orcid":false,"given":"Yingying","family":"Jiao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/184"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3227816"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3298286"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3351070"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00022"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s24154860"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2025.3542702"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01955"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01230"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01022"},{"key":"ref12","article-title":"Graph contrastive learning for skeleton-based action recognition","volume-title":"Proc. 11th Int. Conf. Learn. Representations (ICLR)","author":"Huang","year":"2023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/00140139.2014.945494"},{"key":"ref14","first-page":"4868","article-title":"Hyperbolic graph convolutional neural networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Chami","year":"2019"},{"key":"ref15","article-title":"Hyperbolic self-paced learning for self-supervised skeleton-based action representations","volume-title":"Proc. 11th Int. Conf. Learn. Representations (ICLR)","author":"Franco","year":"2023"},{"article-title":"HyLiFormer: Hyperbolic linear attention for skeleton-based human action recognition","year":"2025","author":"Li","key":"ref16"},{"key":"ref17","first-page":"8230","article-title":"Hyperbolic graph neural networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Liu","year":"2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00958"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01368"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00200"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.115"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2916873"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.339"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01311"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/184"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2024.109592"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.110188"},{"key":"ref28","first-page":"5916","article-title":"Revisiting the softmax Bellman operator: New benefits and new perspective","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Song","year":"2019"},{"key":"ref29","first-page":"633","article-title":"Rankmax: An adaptive projection alternative to the softmax function","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Kong","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CSNT51715.2021.9509714"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/10978002.pdf?arnumber=10978002","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T18:11:17Z","timestamp":1748283077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10978002\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3564883","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2025]]}}}