{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:39:05Z","timestamp":1779385145307,"version":"3.53.1"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,9]]},"DOI":"10.1109\/dac56929.2023.10247701","type":"proceedings-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T13:31:31Z","timestamp":1694784691000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["EENet: Energy Efficient Neural Networks with Run-time Power Management"],"prefix":"10.1109","author":[{"given":"Xiangjie","family":"Li","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingtao","family":"Shen","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"An","family":"Zou","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yehan","family":"Ma","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3394885.3431535"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.08.025"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3007192"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.02.041"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480095"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107346"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062333"},{"key":"ref1","article-title":"Efficient winograd-based convolution kernel implementation on edge devices","author":"xygkis","year":"2018","journal-title":"Proceedings of the Design Automation Conference"},{"key":"ref17","article-title":"Eexnas: Early-exit neural architecture search solutions for low-power wearable devices","author":"odema","year":"2021","journal-title":"IEEE\/ACM International Symposium on Low Power Electronics and Design"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01535"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.01.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC49033.2022.9700550"},{"key":"ref24","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","article-title":"Cinic-10 is not imagenet or cifar-10","author":"darlow","year":"2018"},{"key":"ref25","article-title":"Reading digits in natural images with unsupervised feature learning","author":"netzer","year":"2011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553186"},{"key":"ref22","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref21","article-title":"F-lemma: Fast learning-based energy management for multi-\/many-core processors","author":"zou","year":"2022","journal-title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"},{"key":"ref27","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3850\/9783981537079_0819"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218526"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317820"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3174243.3174261"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.194"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_25"}],"event":{"name":"2023 60th ACM\/IEEE Design Automation Conference (DAC)","location":"San Francisco, CA, USA","start":{"date-parts":[[2023,7,9]]},"end":{"date-parts":[[2023,7,13]]}},"container-title":["2023 60th ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10247654\/10247655\/10247701.pdf?arnumber=10247701","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T13:42:01Z","timestamp":1696254121000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10247701\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,9]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/dac56929.2023.10247701","relation":{},"subject":[],"published":{"date-parts":[[2023,7,9]]}}}