{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T16:41:16Z","timestamp":1784652076131,"version":"3.55.0"},"reference-count":128,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ZhejiangLab Open Research Project","award":["K2022KG0AB02"],"award-info":[{"award-number":["K2022KG0AB02"]}]},{"name":"Optima Collaborative Research Project of Defect Detection Algorithm for Automated Optical Inspection\u2013Phase II, the Key-Area Research and Development Program of Guangdong Province","award":["2020B0909050001"],"award-info":[{"award-number":["2020B0909050001"]}]},{"name":"Optima Collaborative Research Project of Defect Detection Algorithm for Automated Optical Inspection\u2013Phase II, the Key-Area Research and Development Program of Guangdong Province","award":["2020B090921003"],"award-info":[{"award-number":["2020B090921003"]}]},{"name":"Motion G, Inc. Collaborative Research Project for Modeling, Decision and Control Algorithms of Servo Drive Systems"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61533019"],"award-info":[{"award-number":["61533019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Syst. Man Cybern, Syst."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tsmc.2024.3349555","type":"journal-article","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T18:49:07Z","timestamp":1706640547000},"page":"6522-6536","source":"Crossref","is-referenced-by-count":43,"title":["Generative AI Empowering Parallel Manufacturing: Building a \u201c6S\u201d Collaborative Production Ecology for Manufacturing 5.0"],"prefix":"10.1109","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5918-2991","authenticated-orcid":false,"given":"Jing","family":"Yang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7429-031X","authenticated-orcid":false,"given":"Yutong","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2271-156X","authenticated-orcid":false,"given":"Xingxia","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoxing","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing SANBODY Technology Company Ltd., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0008-0659","authenticated-orcid":false,"given":"Xiao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9185-3989","authenticated-orcid":false,"given":"Fei-Yue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"2","article-title":"Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. Industriellen revolution","volume":"13","author":"Kagermann","year":"2011","journal-title":"VDI Nachrichten"},{"issue":"4","key":"ref2","first-page":"305","article-title":"Federated ecology: From federated data to federated intelligence","volume":"2","author":"Wang","year":"2020","journal-title":"Chin. J. Intell. Sci. Technol."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3125312"},{"issue":"8","key":"ref4","first-page":"1912","article-title":"Federated control: A distributed control approach towards information security and rights protection","volume":"47","author":"Zhu","year":"2021","journal-title":"Acta Automatica Sinica"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2023.3274224"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123753"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123552"},{"issue":"3","key":"ref8","first-page":"614","article-title":"Parallel intelligence and CPSS in 30 years: An ACP approach","volume":"49","author":"Yang","year":"2023","journal-title":"Acta Automatica Sinica"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2022.3196592"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3243558"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2854904"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3190308"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3164657"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500488"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3257172"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3226748"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228530"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3224250"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2022.3154541"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2022.3197950"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228594"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2021.3100465"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3195635"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228928"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228314"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3229213"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228270"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228934"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3233588"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3145035"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123486"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123966"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123585"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123618"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3226755"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.106094"},{"key":"ref37","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguist. Hum. Lang. Technol.","author":"Devlin"},{"key":"ref38","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Brown"},{"key":"ref39","first-page":"8583","article-title":"Scaling vision with sparse mixture of experts","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Riquelme"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref41","first-page":"1","article-title":"DreamFusion: Text-to-3D using 2D diffusion","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Poole"},{"key":"ref42","first-page":"8821","article-title":"Zero-shot text-to-image generation","volume-title":"Proc. Mach. Learn. Res.","author":"Ramesh"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3216206"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3218023"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3170489"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3170071"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3144337"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-chembioeng-061114-123255"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11465-018-0499-5"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2018.01.006"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1177\/0954405417736547"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123768"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3221927"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228817"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.106097"},{"issue":"1","key":"ref56","first-page":"214","article-title":"The promise and peril of generative AI","volume":"614","author":"Jo","year":"2023","journal-title":"Nature"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1080\/15228053.2023.2233814"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.105818"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123744"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3252571"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1049\/cim2.12078"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.12.093"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2021.03.053"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1177\/1475921720924601"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108234"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.11.040"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3178483"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501825"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/3563657.3596098"},{"key":"ref71","article-title":"Generative AI meets 3D: A survey on text-to-3D in AIGC era","author":"Li","year":"2023","journal-title":"arXiv:2305.06131"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI52147.2023.10371898"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1162\/99608f92.0705d8bd"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3215503"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3269428"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3223131"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3274536"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.106022"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106775"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3226901"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3164024"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3146282"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3283414"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3189175"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3197815"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3186897"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3063801"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3094655"},{"issue":"5","key":"ref89","first-page":"1","article-title":"A new framework for Web3-powered decentralized autonomous organization and operation","volume":"49","author":"Li","year":"2023","journal-title":"Acta Automatica Sinica"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53992.2023.10394591"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2021.3103695"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228590"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2021.3133841"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3169153"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.106115"},{"key":"ref96","first-page":"5958","article-title":"Train big, then compress: Rethinking model size for efficient training and inference of transformers","volume-title":"Proc. Mach. Learn. Res","author":"Li"},{"key":"ref97","article-title":"Pruning filters for efficient ConvNets","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref98","first-page":"1","article-title":"Trained ternary quantization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhu"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00966"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1907367117"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.20"},{"key":"ref104","first-page":"12697","article-title":"Calibrate before use: Improving few-shot performance of language models","volume-title":"Proc. Mach. Learn. Res.","author":"Zhao"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3166397"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3289873"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.106091"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3229096"},{"key":"ref109","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Mach. Learn. Res","author":"Tan"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-006-0035-z"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.815"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-2021"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1122"},{"key":"ref114","first-page":"1","article-title":"Teaching machines to read and comprehend","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Hermann"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3239953"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3184288"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3166779"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3205056"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45118-8_33"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-49720-2_9"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3231639"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3172342"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1177\/0278364910396552"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2407900"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2009.2022423"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2021.11.249"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.23919\/ACC50511.2021.9483030"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1002\/aisy.202300026"}],"container-title":["IEEE Transactions on Systems, Man, and Cybernetics: Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221021\/10720558\/10416760.pdf?arnumber=10416760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T17:43:21Z","timestamp":1729187001000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10416760\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":128,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tsmc.2024.3349555","relation":{},"ISSN":["2168-2216","2168-2232"],"issn-type":[{"value":"2168-2216","type":"print"},{"value":"2168-2232","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}