{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T15:36:40Z","timestamp":1782574600107,"version":"3.54.5"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"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":["62373194"],"award-info":[{"award-number":["62373194"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Cultivating Plan Program for the Leader in Science and Technology of Yunnan Province, China","award":["202005AC160005"],"award-info":[{"award-number":["202005AC160005"]}]},{"name":"Ten Thousand Talent Plans for Young of Yunnan Province, China","award":["YNWR-QNBJ-2019-188"],"award-info":[{"award-number":["YNWR-QNBJ-2019-188"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,4,1]]},"DOI":"10.1109\/jiot.2025.3650552","type":"journal-article","created":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T18:42:04Z","timestamp":1767638524000},"page":"14923-14939","source":"Crossref","is-referenced-by-count":1,"title":["Beyond 1 \u00d7 1 Convolutions: A Dynamic Select-and-Fuse Channel Sampling Strategy for On-Device Human Activity Recognition"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4594-3121","authenticated-orcid":false,"given":"Zechen","family":"Li","sequence":"first","affiliation":[{"name":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3971-8768","authenticated-orcid":false,"given":"Guangjie","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3520-5098","authenticated-orcid":false,"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8749-7459","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qifan","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6735-7667","authenticated-orcid":false,"given":"Kun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Nanjing Audit University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3696-9281","authenticated-orcid":false,"given":"Hao","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, Kunming, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1982-6780","authenticated-orcid":false,"given":"Aiguo","family":"Song","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3033430"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3729467"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3447744"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobicase.2014.257786"},{"key":"ref5","first-page":"3995","article-title":"Deep convolutional neural networks on multichannel time series for human activity recognition","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Yang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.04.032"},{"key":"ref7","first-page":"1683","article-title":"Pruning filters for efficient ConvNets","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Li"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00561"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3357591"},{"key":"ref11","first-page":"112","article-title":"Dynamic channel pruning: Feature boosting and suppression","volume-title":"Proc. Eur. Conf. Comput. Vis. (ECCV)","author":"Gao"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3334614"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2972628"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3149337"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2022.3161812"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3090076"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s16010115"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/431"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3267242.3267286"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3551598"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-025-11388-3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2025.3619549"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i10.29045"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10721-6"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2985082"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73661-2_5"},{"key":"ref35","article-title":"GhostNetV3: Exploring the training strategies for compact models","author":"Liu","year":"2024","journal-title":"arXiv:2404.11202"},{"issue":"2","key":"ref36","first-page":"133","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"140","author":"Simonyan","year":"2022","journal-title":"Int. J. Comput. Vis."},{"key":"ref37","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":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35395-6_30"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/INSS.2010.5573462"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/app7101101"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2940729"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/s140406474"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3338264"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107561"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3472290"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2025.113861"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2003.1244943"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11456203\/11328758.pdf?arnumber=11328758","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:52:55Z","timestamp":1774554775000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11328758\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,1]]},"references-count":48,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3650552","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,1]]}}}