{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:29:42Z","timestamp":1781224182960,"version":"3.54.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key R&D Program of Zhejiang","award":["2022C01018"],"award-info":[{"award-number":["2022C01018"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2001"],"award-info":[{"award-number":["U21B2001"]}],"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":["61973273"],"award-info":[{"award-number":["61973273"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Commun. Netw."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1109\/tccn.2024.3520958","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T14:27:11Z","timestamp":1734964031000},"page":"2123-2134","source":"Crossref","is-referenced-by-count":22,"title":["A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0655-7814","authenticated-orcid":false,"given":"Yao","family":"Lu","sequence":"first","affiliation":[{"name":"Institute of Cyberspace Security, College of Information Engineering, and the Binjiang Institute of Artificial Intelligence, Zhejiang University of Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yutao","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Cyberspace Security, College of Information Engineering, and the Binjiang Institute of Artificial Intelligence, Zhejiang University of Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7314-6863","authenticated-orcid":false,"given":"Yuqi","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2693-922X","authenticated-orcid":false,"given":"Dongwei","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Cyberspace Security, College of Information Engineering, and the Binjiang Institute of Artificial Intelligence, Zhejiang University of Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4002-1282","authenticated-orcid":false,"given":"Yun","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1042-470X","authenticated-orcid":false,"given":"Qi","family":"Xuan","sequence":"additional","affiliation":[{"name":"Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3117-2211","authenticated-orcid":false,"given":"Xiaoniu","family":"Yang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Electromagnetic Space Security, Jiaxing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WICOM.2009.5302483"},{"issue":"12","key":"ref2","first-page":"6230","article-title":"Automatic modulation recognition and classification for digital modulated signals based on ANN algorithms","volume":"3","author":"Almaspour","year":"2016","journal-title":"Nine"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2900460"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2012.6364346"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/DSP.2009.4785956"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2024.3401720"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1515\/bpasts-2016-0028"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2018.12.019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2017.7920749"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2017.01.005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2016.08.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2797022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44188-7_16"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2983143"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3120997"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2020.3024610"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3005707"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tr.2020.3032744"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2023.3306391"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3467284"},{"key":"ref22","article-title":"Towards building a high-performance intelligent radio network through deep learning: Addressing data privacy, adversarial robustness, network structure, and latency requirements","author":"Jameel","year":"2024"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2023.3239189"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.002.2200468"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_12"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5954"},{"key":"ref27","first-page":"17629","article-title":"Pruning filter in filter","volume-title":"Proc. 34th Conf. Neural Inf. Process. Syst.","volume":"33","author":"Meng"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3280899"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19775-8_14"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095306"},{"key":"ref31","first-page":"6377","article-title":"Pruning neural networks without any data by iteratively conserving synaptic flow","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Tanaka"},{"key":"ref32","first-page":"1","article-title":"Radio machine learning dataset generation with gnu radio","volume-title":"Proc. 6th GNU Radio Conf.","author":"O\u2019Shea"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s21196601"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref35","article-title":"Pruning filters for efficient convnets","author":"Li","year":"2016","journal-title":"arXiv:1608.08710"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2023.3329000"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2874634"},{"key":"ref39","article-title":"DBP: Discrimination based block-level pruning for deep model acceleration","author":"Wang","year":"2019","journal-title":"arXiv:1912.10178"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3089178"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3169740"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3373497"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1162\/0899766042321814"},{"key":"ref44","first-page":"1","article-title":"SVCCA: Singular vector canonical correlation analysis for deep learning dynamics and interpretability","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","volume":"30","author":"Raghu"},{"key":"ref45","first-page":"1","article-title":"Insights on representational similarity in neural networks with canonical correlation","volume-title":"Proc. 32nd Conf. Neural Inf. Process. Syst.","volume":"31","author":"Morcos"},{"key":"ref46","first-page":"3519","article-title":"Similarity of neural network representations revisited","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kornblith"},{"key":"ref47","article-title":"Graph-based similarity of neural network representations","author":"Chen","year":"2021","journal-title":"arXiv:2111.11165"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00356"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref51","first-page":"1","article-title":"Discrimination-aware channel pruning for deep neural networks","volume-title":"Proc. 32nd Conf. Neural Inf. Process. Syst.","volume":"31","author":"Zhuang"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_19"},{"key":"ref53","first-page":"1","article-title":"Faster CNNs with direct sparse convolutions and guided pruning","volume-title":"Proc. ICLR","author":"Park"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587747"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69535-4_45"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9191238"},{"key":"ref59","article-title":"Layer folding: Neural network depth reduction using activation linearization","author":"Dror","year":"2021","journal-title":"arXiv:2106.09309"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3302519"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/11564089_7"},{"issue":"5","key":"ref62","first-page":"1","article-title":"Feature selection via dependence maximization","volume":"13","author":"Song","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1126\/science.153.3731.34"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-49430-8_2"},{"key":"ref67","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"}],"container-title":["IEEE Transactions on Cognitive Communications and Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687307\/11119470\/10810366.pdf?arnumber=10810366","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T18:41:30Z","timestamp":1754678490000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10810366\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":67,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tccn.2024.3520958","relation":{},"ISSN":["2332-7731","2372-2045"],"issn-type":[{"value":"2332-7731","type":"electronic"},{"value":"2372-2045","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}