{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:31:52Z","timestamp":1761294712887,"version":"3.37.3"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10447421","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"2580-2584","source":"Crossref","is-referenced-by-count":3,"title":["TA2P: Task-Aware Adaptive Pruning Method for Image Classification on Edge Devices"],"prefix":"10.1109","author":[{"given":"Yanting","family":"Wang","sequence":"first","affiliation":[{"name":"Northwestern Polytechnical University,School of Software,Xi&#x2019;an,China"}]},{"given":"Feng","family":"Li","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University,School of Software,Xi&#x2019;an,China"}]},{"given":"Han","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Unicom Research Institue,Beijing,China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/LGRS.2020.3017542"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/TIM.2022.3146923"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TII.2022.3161640"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/CVPR.2016.521"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/EMES52337.2021.9484143"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/TPAMI.2018.2873305"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/CVPR.2017.126"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/CVPR.2017.15"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/CSCWD57460.2023.10152777"},{"year":"2015","author":"Han","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","key":"ref10"},{"year":"2020","author":"Wang","article-title":"Picking winning tickets before training by preserving gradient flow","key":"ref11"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TNNLS.2022.3165123"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/ICCV.2017.298"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1007\/s10489-022-03508-1"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/TPAMI.2018.2874634"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TGRS.2022.3151689"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/IGARSS47720.2021.9555134"},{"year":"2018","author":"Yu","article-title":"Distilling critical paths in convolutional neural networks","key":"ref18"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/CVPR.2018.00928"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/CVPR.2019.00491"},{"key":"ref21","first-page":"3958","article-title":"Combined group and exclusive sparsity for deep neural networks","volume-title":"International Conference on Machine Learning","author":"Yoon"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/4235.985692"},{"year":"2018","author":"Liu","article-title":"Rethinking the value of network pruning","key":"ref23"},{"year":"2020","author":"Xu","article-title":"Layer pruning via fusible residual convolutional block for deep neural networks","key":"ref24"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2024,4,14]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10447421.pdf?arnumber=10447421","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:37:57Z","timestamp":1722577077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10447421\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10447421","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}