{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:22:45Z","timestamp":1740100965512,"version":"3.37.3"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021ZD0112400"],"award-info":[{"award-number":["2021ZD0112400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072067,U1808206,U1908214,51978120,61906032,61602080"],"award-info":[{"award-number":["62072067,U1808206,U1908214,51978120,61906032,61602080"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000143","name":"CCF-Tencent Open Fund","doi-asserted-by":"publisher","award":["IAGR20210116"],"award-info":[{"award-number":["IAGR20210116"]}],"id":[{"id":"10.13039\/100000143","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["DUT21JC27,DUT21GJ208,DUT21TD107"],"award-info":[{"award-number":["DUT21JC27,DUT21GJ208,DUT21TD107"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892062","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Energy-Efficient Deep Neural Network Optimization via Pooling-Based Input Masking"],"prefix":"10.1109","author":[{"given":"Jiankang","family":"Ren","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Dalian University of Technology,Dalian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huawei","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dalian University of Technology,Dalian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ran","family":"Bi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dalian University of Technology,Dalian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dalian University of Technology,Dalian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Ni","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dalian University of Technology,Dalian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guozhen","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dalian University of Technology,Dalian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.643"},{"journal-title":"Energy-constrained compression for deep neural networks via weighted sparse projection and layer input masking","year":"2018","author":"yang","key":"ref11"},{"journal-title":"Hardware acceleration of sparse and irregular tensor computations of ml models A survey and insights","year":"2020","author":"dave","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2020.3021397"},{"journal-title":"Mobilenets Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"howard","key":"ref14"},{"key":"ref15","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Advances in neural information processing systems"},{"journal-title":"Deep adaptive network An efficient deep neural network with sparse binary connections","year":"2016","author":"zhou","key":"ref16"},{"journal-title":"Efficient micro-structured weight unification and pruning for neural network compression","year":"2021","author":"lin","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PACT.2019.00022"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"journal-title":"Coviddeep Sars-cov-2\/covid-19 test based on wearable medical sensors and efficient neural networks","year":"2020","author":"hassantabar","key":"ref4"},{"key":"ref27","first-page":"3288","article-title":"Bayesian compression for deep learning","author":"louizos","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1016\/j.matpr.2021.06.186","article-title":"Smart drone with real time face recognition","author":"shanthi","year":"2021","journal-title":"Materials Today Proceedings"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3005348"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2910232"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.241"},{"journal-title":"A Survey of Methods for Low-Power Deep Learning and Computer Vision","year":"2020","author":"goel","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2019.2924215"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx110"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001165"},{"key":"ref22","first-page":"39","article-title":"Zena: Zero-aware neural network accelerator","author":"kim","year":"2017","journal-title":"IEEE Design & Test"},{"key":"ref21","first-page":"968","article-title":"A high energy efficient reconfigurable hybrid neural network processor for deep learning applications","author":"yin","year":"2017","journal-title":"IEEE Journal of Solid-State Circuits"},{"key":"ref24","first-page":"2074","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00908"},{"key":"ref26","first-page":"6775","article-title":"Structured bayesian pruning via log-normal multiplicative noise","author":"neklyudov","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"Netadapt Platform-aware neural network adaptation for mobile applications","year":"2018","author":"yang","key":"ref25"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892062.pdf?arnumber=9892062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:52:13Z","timestamp":1665780733000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892062\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892062","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}