{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:30:56Z","timestamp":1763202656976,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"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":[[2022,5,28]]},"DOI":"10.1109\/iscas48785.2022.9938013","type":"proceedings-article","created":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T20:38:08Z","timestamp":1668199088000},"page":"707-711","source":"Crossref","is-referenced-by-count":4,"title":["A 4-bit Integer-Only Neural Network Quantization Method Based on Shift Batch Normalization"],"prefix":"10.1109","author":[{"given":"Qingyu","family":"Guo","sequence":"first","affiliation":[{"name":"Peking University,Key Laboratory of Microelectronic Devices and Circuits (MoE), School of Integrated Circuits,Beijing,China,100871"}]},{"given":"Xiaoxin","family":"Cui","sequence":"additional","affiliation":[{"name":"Peking University,Key Laboratory of Microelectronic Devices and Circuits (MoE), School of Integrated Circuits,Beijing,China,100871"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Zhicun (WITIN) Technology Corporation Limited,Beijing,China,100191"}]},{"given":"Aifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Zhicun (WITIN) Technology Corporation Limited,Beijing,China,100191"}]},{"given":"Xinjie","family":"Guo","sequence":"additional","affiliation":[{"name":"Beijing Zhicun (WITIN) Technology Corporation Limited,Beijing,China,100191"}]},{"given":"Yuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Peking University,Key Laboratory of Microelectronic Devices and Circuits (MoE), School of Integrated Circuits,Beijing,China,100871"}]}],"member":"263","reference":[{"year":"0","key":"ref10"},{"year":"0","key":"ref11"},{"year":"0","key":"ref12"},{"year":"0","key":"ref13"},{"journal-title":"Speech commands A dataset for limited-vocabulary speech recognition","year":"2018","author":"warden","key":"ref14"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757323"},{"journal-title":"Hawqv3 Dyadic neural network quantization","year":"2020","author":"yao","key":"ref3"},{"key":"ref6","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"abs 1502 3167","author":"ioffe","year":"2015","journal-title":"CoRR"},{"key":"ref5","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"18","author":"hubara","year":"2016","journal-title":"Journal of Machine Learning Research"},{"journal-title":"Discovering low-precision networks close to full-precision networks for efficient embedded inference","year":"2018","author":"mckinstry","key":"ref8"},{"journal-title":"A survey of quantization methods for efficient neural network inference","year":"2021","author":"gholami","key":"ref7"},{"journal-title":"I-bert Integer-only bert quanization","year":"2021","author":"kim","key":"ref2"},{"journal-title":"Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference","year":"2017","author":"jacob","key":"ref1"},{"journal-title":"Understanding straight-through estimator in training activation quantized neural nets","year":"2019","author":"yin","key":"ref9"}],"event":{"name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","start":{"date-parts":[[2022,5,27]]},"location":"Austin, TX, USA","end":{"date-parts":[[2022,6,1]]}},"container-title":["2022 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9937201\/9937203\/09938013.pdf?arnumber=9938013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T20:20:54Z","timestamp":1669666854000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9938013\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,28]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/iscas48785.2022.9938013","relation":{},"subject":[],"published":{"date-parts":[[2022,5,28]]}}}