{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T06:48:20Z","timestamp":1776840500331,"version":"3.51.2"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Priorities Research Program (NPRP) from Qatar National Research Fund","award":["NPRP 8-274-2-107"],"award-info":[{"award-number":["NPRP 8-274-2-107"]}]},{"name":"Zhejiang provincial \u201cTen Thousand Talents Program\u201d","award":["2021R52007"],"award-info":[{"award-number":["2021R52007"]}]},{"name":"Science and Technology Innovation 2030-Major Project","award":["2021ZD0114300"],"award-info":[{"award-number":["2021ZD0114300"]}]},{"name":"Joint Research Project of Zhejiang Lab","award":["K2022DA0AM01"],"award-info":[{"award-number":["K2022DA0AM01"]}]},{"name":"National Key Research and Development Program of China","award":["2022YFB4500405"],"award-info":[{"award-number":["2022YFB4500405"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tnnls.2023.3250437","type":"journal-article","created":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T17:23:10Z","timestamp":1679073790000},"page":"11979-11988","source":"Crossref","is-referenced-by-count":6,"title":["Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1595-8361","authenticated-orcid":false,"given":"Bo","family":"Lyu","sequence":"first","affiliation":[{"name":"Zhejiang Laboratory, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5048-0319","authenticated-orcid":false,"given":"Shiping","family":"Wen","sequence":"additional","affiliation":[{"name":"Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0549-3882","authenticated-orcid":false,"given":"Yin","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7778-8807","authenticated-orcid":false,"given":"Xiaojun","family":"Chang","sequence":"additional","affiliation":[{"name":"Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8518-5064","authenticated-orcid":false,"given":"Junwei","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1486-8412","authenticated-orcid":false,"given":"Yiran","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9610-846X","authenticated-orcid":false,"given":"Tingwen","family":"Huang","sequence":"additional","affiliation":[{"name":"Science Program, Texas A and M University at Qatar, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001139"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001140"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2228360.2228448"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2017.02.043"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2868781"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.044"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2750386"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2600212.2600213"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2021.3074899"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2013.6629302"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM.2015.7409625"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nature06932"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966055"},{"key":"ref14","first-page":"1","article-title":"ReTransformer: ReRAM-based processing-in-memory architecture for transformer acceleration","volume-title":"Proc. 39th Int. Conf. Comput.-Aided Design","author":"Yang"},{"key":"ref15","first-page":"525","article-title":"XNOR-NET: ImageNet classification using binary convolutional neural networks","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Rastegari"},{"key":"ref16","article-title":"DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"Zhou","year":"2016","journal-title":"arXiv:1606.06160"},{"key":"ref17","article-title":"Ternary weight networks","author":"Li","year":"2016","journal-title":"arXiv:1605.04711"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"key":"ref19","article-title":"Slimmable neural networks","author":"Yu","year":"2018","journal-title":"arXiv:1812.08928"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3107607"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3054583"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00881"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3104866"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC47756.2020.9045658"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218523"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3386263.3406897"},{"key":"ref30","first-page":"372","article-title":"Mixed precision quantization for ReRAM-based DNN inference accelerators","volume-title":"Proc. 26th Asia South Pacific Design Automat. Conf. (ASP-DAC)","author":"Huang"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/EMC2-NIPS53020.2019.00008"},{"key":"ref32","article-title":"BSQ: Exploring bit-level sparsity for mixed-precision neural network quantization","author":"Yang","year":"2021","journal-title":"arXiv:2102.10462"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3460288"},{"key":"ref34","article-title":"NAX: Co-designing neural network and hardware architecture for memristive xbar based computing systems","author":"Negi","year":"2021","journal-title":"arXiv:2106.12125"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2991575"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCT.1971.1083337"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727302"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2906098"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2829911"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2825021"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.04.025"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062326"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2017.55"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342009"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3447818.3460366"},{"key":"ref46","article-title":"ReaLPrune: ReRAM crossbar-aware lottery ticket pruned CNNs","author":"Kumar Joardar","year":"2021","journal-title":"arXiv:2111.09272"},{"key":"ref47","first-page":"867","article-title":"Gibbon: Efficient co-exploration of NN model and processing-in-memory architecture","volume-title":"Proc. Design, Automat. Test Europe Conf. Exhib. (DATE)","author":"Sun"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-020-3245-7"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586105"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207674"},{"key":"ref51","first-page":"575","article-title":"Learning architectures for binary networks","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Kim"},{"key":"ref52","first-page":"4561","article-title":"Darts: Differentiable architecture search","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liu"},{"key":"ref53","article-title":"Model compression via distillation and quantization","author":"Polino","year":"2018","journal-title":"arXiv:1802.05668"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3059510"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2011.2107214"},{"key":"ref56","article-title":"GOLD-NAS: Gradual, one-level, differentiable","author":"Bi","year":"2020","journal-title":"arXiv:2007.03331"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10663876\/10075408.pdf?arnumber=10075408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T18:14:53Z","timestamp":1725473693000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10075408\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":56,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3250437","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}