{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:51:58Z","timestamp":1740102718299,"version":"3.37.3"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T00:00:00Z","timestamp":1700352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T00:00:00Z","timestamp":1700352000000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006180","name":"Technology Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006180","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,19]]},"DOI":"10.1109\/apcc60132.2023.10460739","type":"proceedings-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T17:49:34Z","timestamp":1710438574000},"page":"36-41","source":"Crossref","is-referenced-by-count":0,"title":["Lightweight Network for Modulation Recognition Based on Stochastic Pruning-Asymmetric Quantization"],"prefix":"10.1109","author":[{"given":"Tianyu","family":"Zhao","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China"}]},{"given":"Zunwen","family":"He","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China"}]},{"given":"Mingyu","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China"}]},{"given":"Hongji","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China"}]},{"given":"Wancheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3181026"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2839735"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2017.2697853"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3181026"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3030018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/APCC.2018.8633576"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3085433"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44188-7_16"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2017.55"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2020.3032744"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3184771"},{"article-title":"Rethinking the smaller-norm-less-informative assumption in channel pruning of convolution layers","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Ye","key":"ref12"},{"key":"ref13","article-title":"The unreasonable effectiveness of random pruning: Return of the most naive baseline for sparse training","author":"Liu","year":"2022","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2983143"},{"key":"ref15","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1201\/9781003162810-13"},{"key":"ref17","article-title":"A white paper on neural network quantization","author":"Nagel","year":"2021","journal-title":"arXiv preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"}],"event":{"name":"2023 28th Asia Pacific Conference on Communications (APCC)","start":{"date-parts":[[2023,11,19]]},"location":"Sydney, Australia","end":{"date-parts":[[2023,11,22]]}},"container-title":["2023 28th Asia Pacific Conference on Communications (APCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10460591\/10460598\/10460739.pdf?arnumber=10460739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T12:59:41Z","timestamp":1711457981000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10460739\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,19]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/apcc60132.2023.10460739","relation":{},"subject":[],"published":{"date-parts":[[2023,11,19]]}}}