{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T16:23:39Z","timestamp":1781195019557,"version":"3.54.1"},"reference-count":60,"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":["52074305"],"award-info":[{"award-number":["52074305"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52274160"],"award-info":[{"award-number":["52274160"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51874300"],"award-info":[{"award-number":["51874300"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of China-Shanxi Provincial People’s Government Coal-based Low Carbon Joint Fund","award":["U1510115"],"award-info":[{"award-number":["U1510115"]}]},{"DOI":"10.13039\/501100004478","name":"Beijing Union University","doi-asserted-by":"publisher","award":["ZK90202106"],"award-info":[{"award-number":["ZK90202106"]}],"id":[{"id":"10.13039\/501100004478","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Education Commission","award":["KM202211417005"],"award-info":[{"award-number":["KM202211417005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tmc.2025.3612469","type":"journal-article","created":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T17:46:23Z","timestamp":1758563183000},"page":"2793-2810","source":"Crossref","is-referenced-by-count":2,"title":["Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-Play Neural Network Toolbox Enabling Edge Deployment"],"prefix":"10.1109","volume":"25","author":[{"given":"Jiaqi","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shihao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simin","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2518-4160","authenticated-orcid":false,"given":"Lixu","family":"Wang","sequence":"additional","affiliation":[{"name":"Northwestern University, Evanston, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9040-847X","authenticated-orcid":false,"given":"Zehua","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Vancouver, BC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7663-278X","authenticated-orcid":false,"given":"Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangyuan","family":"He","sequence":"additional","affiliation":[{"name":"College of Applied Science and Technology, Beijing Union University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4389-8821","authenticated-orcid":false,"given":"Zijian","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1006-7594","authenticated-orcid":false,"given":"F. Richard","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3529-2640","authenticated-orcid":false,"given":"Victor C. M.","family":"Leung","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3379090"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-024-03185-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103280"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3373028"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102429"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3386572"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3555802"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3555308"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103441"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3158253"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103982"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2024.3378651"},{"key":"ref13","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref14","first-page":"1","article-title":"MobileViT: Light-weight, general-purpose, and mobile-friendly vision transformer","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Mehta","year":"2022"},{"key":"ref15","first-page":"12934","article-title":"Efficientformer: Vision transformers at mobilenet speed","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Li","year":"2022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/computers13120336"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12295"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/sym13060954"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3005727"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3237572"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.10.006"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3447582"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/DATE56975.2023.10137095"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3315451"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.105890"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103828"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2213\/1\/012038"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/app11083652"},{"key":"ref32","article-title":"Work safety law of the people\u2019s Republic of China (2021 amendment)","year":"2021"},{"key":"ref33","first-page":"1305","article-title":"CondConv: Conditionally parameterized convolutions for efficient inference","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","volume":"32","author":"Yang","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0271-y"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00406"},{"key":"ref39","article-title":"Yolov6: A single-stage object detection framework for industrial applications","author":"Li","year":"2022"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00064"},{"key":"ref45","article-title":"Yolov11: An overview of the key architectural enhancements","author":"Khanam","year":"2024"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128697"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_40"},{"key":"ref50","article-title":"Pp-lcnet: A lightweight CPU convolutional neural network","author":"Cui","year":"2021"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956379"},{"key":"ref52","first-page":"1","article-title":"Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Zhang","year":"2023"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00475"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26313-2_33"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref58","article-title":"PP-YOLOE: An evolved version of YOLO","author":"Xu","year":"2022"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01599"},{"key":"ref60","article-title":"Yolov12: Attention-centric real-time object detectors","author":"Tian","year":"2025"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11345503\/11175043.pdf?arnumber=11175043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T23:59:02Z","timestamp":1768262342000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11175043\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":60,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3612469","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}