{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:10:08Z","timestamp":1770739808055,"version":"3.49.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472155"],"award-info":[{"award-number":["62472155"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tii.2025.3625947","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T18:48:40Z","timestamp":1765478920000},"page":"1335-1346","source":"Crossref","is-referenced-by-count":0,"title":["A Resource Reuse Strategy for Large-Scale Matrix Operations in HLS-Based FPGA Design"],"prefix":"10.1109","volume":"22","author":[{"given":"Zhihang","family":"Lei","sequence":"first","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2372-6715","authenticated-orcid":false,"given":"Chubo","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1144-7599","authenticated-orcid":false,"given":"Zheng","family":"Xiao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7380-8997","authenticated-orcid":false,"given":"Baixuan","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anthony Theodore","family":"Chronopoulos","sequence":"additional","affiliation":[{"name":"Shanghai Institute for Mathematics and Interdisciplinary Sciences (SIMIS), Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2635-7716","authenticated-orcid":false,"given":"Kenli","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2024.3393428"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3715324"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3292971"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3233973"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3244339"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21918"},{"key":"ref7","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021744"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240801"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3373087.3375306"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3482854"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref17","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref19","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Tan","year":"2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2024.3438994"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC58863.2023.10363454"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/FPL60245.2023.00043"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/EDGE60047.2023.00019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS54959.2023.00084"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479897317685"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1462173.1462176"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IA335182.2014.10612387"},{"key":"ref30","article-title":"hls4ml: An open-source codesign workflow to empower scientific low-power machine learning devices","author":"Fahim","year":"2021"},{"key":"ref31","article-title":"Vitis high-level synthesis user guide (UG1399)","volume-title":"Xilinx Inc.","year":"2022"},{"key":"ref32","volume-title":"PuLP: A Linear Programming Toolkit for Python","author":"Mitchell","year":"2011"},{"key":"ref33","volume-title":"CBC (COIN-OR Branch and Cut) Solver","author":"Forrest","year":"2005"},{"issue":"1","key":"ref34","first-page":"2171","article-title":"Deap: Evolutionary algorithms made easy","volume":"13","author":"Fortin","year":"2012","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/11372499\/11298245.pdf?arnumber=11298245","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:11:44Z","timestamp":1770671504000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11298245\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":34,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tii.2025.3625947","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}