{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T21:10:03Z","timestamp":1756156203260,"version":"3.44.0"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"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":[[2019,3]]},"DOI":"10.1109\/aicas.2019.8771498","type":"proceedings-article","created":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T19:57:53Z","timestamp":1564084673000},"page":"276-278","source":"Crossref","is-referenced-by-count":3,"title":["Exploration of Automatic Mixed-Precision Search for Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Xuyang","family":"Guo","sequence":"first","affiliation":[{"name":"Tsinghua University"}]},{"given":"Yuanjun","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}]},{"given":"Hsin-pai","family":"Cheng","sequence":"additional","affiliation":[{"name":"Duke University"}]},{"given":"Bing","family":"Li","sequence":"additional","affiliation":[{"name":"Duke University"}]},{"given":"Wei","family":"Wen","sequence":"additional","affiliation":[{"name":"Duke University"}]},{"given":"Siyuan","family":"Ma","sequence":"additional","affiliation":[{"name":"Xi’an Jiaotong University"}]},{"given":"Hai","family":"Li","sequence":"additional","affiliation":[{"name":"Duke University"}]},{"given":"Yiran","family":"Chen","sequence":"additional","affiliation":[{"name":"Duke University"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Darts: Differentiable architecture search","year":"2018","author":"liu","key":"ref10"},{"article-title":"Proxquant: Quantized neural networks via proximal operators","year":"2018","author":"bai","key":"ref6"},{"article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"howard","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"article-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to + 1 or ?1","year":"2016","author":"courbariaux","key":"ref7"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref2"},{"article-title":"Mixed low-precision deep learning inference using dynamic fixed point","year":"2017","author":"mellempudi","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"}],"event":{"name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","start":{"date-parts":[[2019,3,18]]},"location":"Hsinchu, Taiwan","end":{"date-parts":[[2019,3,20]]}},"container-title":["2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8766332\/8771465\/08771498.pdf?arnumber=8771498","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T20:31:19Z","timestamp":1756153879000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8771498\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/aicas.2019.8771498","relation":{},"subject":[],"published":{"date-parts":[[2019,3]]}}}