{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:21:59Z","timestamp":1772205719381,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2022YFB4501404"],"award-info":[{"award-number":["2022YFB4501404"]}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","award":["2022079"],"award-info":[{"award-number":["2022079"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CAS Project for Young Scientists in Basic Research","award":["YSBR- 029"],"award-info":[{"award-number":["YSBR- 029"]}]},{"name":"CAS Project for Youth Innovation Promotion Association and Open Research Projects of Zhejiang Lab","award":["2022PB0AB01"],"award-info":[{"award-number":["2022PB0AB01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tpds.2023.3324934","type":"journal-article","created":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T18:30:07Z","timestamp":1697481007000},"page":"3253-3265","source":"Crossref","is-referenced-by-count":10,"title":["Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5950-7370","authenticated-orcid":false,"given":"Zhihua","family":"Fan","sequence":"first","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4069-2251","authenticated-orcid":false,"given":"Wenming","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8853-9915","authenticated-orcid":false,"given":"Zhen","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3905-6936","authenticated-orcid":false,"given":"Tianyu","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2949-2297","authenticated-orcid":false,"given":"Haibin","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7151-6549","authenticated-orcid":false,"given":"Yanhuan","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9841-5962","authenticated-orcid":false,"given":"Meng","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5786-7294","authenticated-orcid":false,"given":"Xinxin","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4598-1685","authenticated-orcid":false,"given":"Xiaochun","family":"Ye","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5219-0908","authenticated-orcid":false,"given":"Dongrui","family":"Fan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1953-1392","authenticated-orcid":false,"given":"Ninghui","family":"Sun","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0494-6332","authenticated-orcid":false,"given":"Xuejun","family":"An","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001138"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050797"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref34","article-title":"NVIDIA A100 tensor core GPU","year":"2021"},{"key":"ref15","first-page":"581","article-title":"LRADNN: High-throughput and energy-efficient deep neural network accelerator using low rank approximation","author":"zhu","year":"2016","journal-title":"Proc IEEE Asia and South Pacific Des Autom Conf"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3205289.3205295"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342010"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00068"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00049"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3470496.3527404"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783723"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2981068"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00061"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2852335"},{"key":"ref2","first-page":"2148","article-title":"Predicting parameters in deep learning","author":"denil","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639343"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_14"},{"key":"ref16","first-page":"1106","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2018.2865006"},{"key":"ref19","first-page":"347","article-title":"Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization","author":"astrid","year":"2018","journal-title":"Proc IEEE 20th Int Conf Adv Commun Technol"},{"key":"ref18","article-title":"Low-rank approximations for conditional feedforward computation in deep neural networks","author":"davis","year":"2014","journal-title":"Proc 2nd Int Conf Learn Representations"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","article-title":"RISC-NN: Use RISC, NOT CISC as neural network hardware infrastructure","author":"xiang","year":"2021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480043"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CGO.2004.1281665"},{"key":"ref20","first-page":"1269","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","author":"denton","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","article-title":"Convolutional neural networks with low-rank regularization","author":"tai","year":"2016","journal-title":"Proc 4th Int Conf Learn Representations"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.15"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3140659.3080254"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00090"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00089"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342009"},{"key":"ref7","article-title":"An analysis of deep neural network models for practical applications","author":"canziani","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01147"},{"key":"ref4","first-page":"1135","article-title":"Learning both weights and connections for efficient neural networks","author":"han","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2018.2864299"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.88"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2018.2890236"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/10272650\/10286398.pdf?arnumber=10286398","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T20:10:53Z","timestamp":1701115853000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10286398\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":40,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpds.2023.3324934","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}