{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T20:00:02Z","timestamp":1770494402598,"version":"3.49.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key Laboratory Fund for Underwater Acoustic Adversarial Defense Technology","award":["JCKY2023207CH04"],"award-info":[{"award-number":["JCKY2023207CH04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tvt.2024.3361928","type":"journal-article","created":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T18:36:58Z","timestamp":1707158218000},"page":"8576-8583","source":"Crossref","is-referenced-by-count":17,"title":["Reparameterization Causal Convolutional Network for Automatic Modulation Classification"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0582-5945","authenticated-orcid":false,"given":"Ning","family":"Tang","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0532-8799","authenticated-orcid":false,"given":"Xiaoyu","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0756-8546","authenticated-orcid":false,"given":"Fei","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0923-3751","authenticated-orcid":false,"given":"Shengyu","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8873-5903","authenticated-orcid":false,"given":"Yaohui","family":"Lyu","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900516"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2011.121911.110086"},{"issue":"1","key":"ref3","article-title":"Radio machine learning dataset generation with GNU radio","volume-title":"Proc. GNU Radio Conf.","volume":"1","author":"OShea","year":"2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44188-7_16"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2797022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3176640"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3085433"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3089738"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3005707"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3164935"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3152522"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2970922"},{"key":"ref13","first-page":"142950","article-title":"Edge-enabled modulation classification in the Internet of Underwater Things based on network pruning and ensemble learning","volume":"9","author":"Wang","year":"2023","journal-title":"IEEE Internet Things J."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Spring48590.2020.9128408"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2017.8322633"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3095855"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2017.7920754"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3091730"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2968030"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.2999453"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2017.8335483"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LNET.2021.3057637"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3102656"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2022.103650"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3196103"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3179450"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3177760"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01074"},{"key":"ref30","first-page":"1298","article-title":"Expandnets: Linear over-parameterization to train compact convolutional networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Guo","year":"2020"},{"key":"ref31","article-title":"Fine-tuning pruned networks with linear over-parameterization","author":"Pan","year":"2022"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref33","article-title":"Network in network","author":"Lin","year":"2013"},{"key":"ref34","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012"},{"key":"ref35","article-title":"Multi-sample dropout for accelerated training and better generalization","author":"Inoue","year":"2020"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/10564808\/10420493.pdf?arnumber=10420493","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T19:47:23Z","timestamp":1736970443000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10420493\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":35,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2024.3361928","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}