{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T04:49:00Z","timestamp":1775623740067,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2022ZD0119100"],"award-info":[{"award-number":["2022ZD0119100"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472278"],"award-info":[{"award-number":["62472278"]}],"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":["62025204"],"award-info":[{"award-number":["62025204"]}],"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":["62432007"],"award-info":[{"award-number":["62432007"]}],"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":["62441236"],"award-info":[{"award-number":["62441236"]}],"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":["62332014"],"award-info":[{"award-number":["62332014"]}],"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":["62332013"],"award-info":[{"award-number":["62332013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai QiYuan Innovation Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tmc.2025.3641568","type":"journal-article","created":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T18:35:23Z","timestamp":1765305323000},"page":"7149-7165","source":"Crossref","is-referenced-by-count":0,"title":["AutoMOCHA: Automated Adaptation Hierarchy for Mobile Video Analytics Against Domain Shifts"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5492-0897","authenticated-orcid":false,"given":"Maozhe","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0991-724X","authenticated-orcid":false,"given":"Rui","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7643-7239","authenticated-orcid":false,"given":"Shengzhong","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0965-9058","authenticated-orcid":false,"given":"Fan","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6934-1685","authenticated-orcid":false,"given":"Guihai","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3459409"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3466931"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3105953"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3636534.3649391"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3590653"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3462437"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3666025.3699325"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3699779"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3514173"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3533591"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3549367"},{"key":"ref12","first-page":"917","article-title":"$\\lbrace${RECL $\\rbrace$}: Responsive $\\lbrace${ Resource-Efficient$\\rbrace$} continuous learning for video analytics","volume-title":"Proc. 20th USENIX Symp. Networked Syst. Des. Implementation","author":"Khani"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407837"},{"key":"ref14","first-page":"119","article-title":"Ekya: Continuous learning of video analytics models on edge compute servers","volume-title":"Proc. 19th USENIX Symp. Networked Syst. Des. Implementation","author":"Bhardwaj"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3316388"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3715014.3722044"},{"key":"ref18","volume-title":"Ultralytics\/yolov5: v5. 0-Yolov5-p6 1280 Models, AWS, Supervise. ly and Youtube Integrations","author":"Jocher","year":"2021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3515037"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3666025.3699331"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/FMSys62467.2024.00006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1516"},{"key":"ref25","article-title":"Qwen2. 5-VL technical report","author":"Bai","year":"2025"},{"key":"ref26","first-page":"11525","article-title":"Object-centric learning with slot attention","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Locatello"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00271"},{"key":"ref28","first-page":"7167","article-title":"A simple unified framework for detecting out-of-distribution samples and adversarial attacks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lee"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3636534.3649359"},{"key":"ref30","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref31","article-title":"Orange PI 5B board","author":"Pi","year":"2025"},{"key":"ref32","article-title":"RKNN toolkit","year":"2023"},{"key":"ref33","article-title":"Wondershaper","author":"Donenfeld","year":"2024"},{"key":"ref34","article-title":"Part of real-world videos","year":"2025"},{"key":"ref35","article-title":"Torchvision: PyTorch\u2019s computer vision library","year":"2016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3466524"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3225414"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3246539"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3595665"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3269807"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3488283"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3459944"},{"key":"ref43","first-page":"973","article-title":"Gemel: Model merging for $\\lbrace${Memory-Efficient $\\rbrace,\\lbrace$},{ Real-Time$\\rbrace$} video analytics at the edge","volume-title":"Proc. 20th USENIX Symp. Networked Syst. Des. Implementation","author":"Padmanabhan"},{"key":"ref44","first-page":"103","article-title":"Swift: Adaptive video streaming with layered neural codecs","volume-title":"Proc. 19th USENIX Symp. Networked Syst. Des. Implementation","author":"Dasari"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3327097"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3457793"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3469116.3470010"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3625687.3625800"},{"key":"ref49","first-page":"8583","article-title":"Scaling vision with sparse mixture of experts","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Riquelme"},{"key":"ref50","first-page":"39","article-title":"Coping with data drift in online video analytics","volume-title":"Proc. Joint Eur. Conf. Mach. Learn. Knowl. Discov. Databases","author":"Xarchakos"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3572215"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3567179"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3133949"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3549399"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3451715"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3570361.3613297"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11471282\/11288053.pdf?arnumber=11288053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T03:56:14Z","timestamp":1775620574000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11288053\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":56,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3641568","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":[[2026,5]]}}}