{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T18:04:38Z","timestamp":1782929078463,"version":"3.54.5"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"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":["62371406"],"award-info":[{"award-number":["62371406"]}],"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":["623B2060"],"award-info":[{"award-number":["623B2060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council program","doi-asserted-by":"crossref","award":["202206310094"],"award-info":[{"award-number":["202206310094"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Seatrium New Energy Laboratory"},{"name":"Singapore Ministry of Education (MOE) Tier 1","award":["RT5\/23"],"award-info":[{"award-number":["RT5\/23"]}]},{"name":"Singapore Ministry of Education (MOE) Tier 1","award":["RG24\/24"],"award-info":[{"award-number":["RG24\/24"]}]},{"name":"NTU Centre for Computational Technologies in Finance"},{"name":"RIE2025 Industry Alignment Fund - Industry Collaboration Projects","award":["I2301E0026"],"award-info":[{"award-number":["I2301E0026"]}]},{"DOI":"10.13039\/501100001348","name":"A*STAR","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001348","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1109\/tmc.2025.3627263","type":"journal-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T17:14:13Z","timestamp":1761930853000},"page":"4822-4838","source":"Crossref","is-referenced-by-count":7,"title":["Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2310-661X","authenticated-orcid":false,"given":"Zhang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Xiamen University, Xiamen, Fujian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8220-6525","authenticated-orcid":false,"given":"Hongyang","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, University of Hong Kong, Pok Fu Lam, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9449-4854","authenticated-orcid":false,"given":"Xiangwang","family":"Hou","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1620-1504","authenticated-orcid":false,"given":"Lianfen","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4266-4000","authenticated-orcid":false,"given":"Seyyedali","family":"Hosseinalipour","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University at Buffalo&#x2013;SUNY, Buffalo, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-7416","authenticated-orcid":false,"given":"Dusit","family":"Niyato","sequence":"additional","affiliation":[{"name":"College of Computing and Data Science, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2519-6401","authenticated-orcid":false,"given":"Khaled Ben","family":"Letaief","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"A comprehensive survey of AI-generated content (AIGC): A history of generative AI from GAN to ChatGPT","author":"Cao","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-024-03609-x"},{"key":"ref3","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Brown"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01117"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10039-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.004.2200617"},{"key":"ref7","article-title":"GPT-4 technical report","author":"Achiam","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3202047"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3266582"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3329141"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/mnet.2025.3545609"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3353265"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/mwc.004.2300015"},{"key":"ref14","article-title":"Text-to-image diffusion models in generative AI: A survey","author":"Zhang","year":"2023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3199876"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024644"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3170245"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3066650"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2993359"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3259030"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3430486"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3068427"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3400011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3081991"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3192882"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3360943"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3310080"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3152265"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118344"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3030178"},{"key":"ref31","article-title":"PyTorch image quality: Metrics and measure for image quality assessment","author":"Kastryulin","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1167\/16.12.326"},{"key":"ref34","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ho"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.32657\/10356\/90191"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3486728"},{"key":"ref39","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2024.3387707"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3430486"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.23919\/ICN.2020.0014"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11423852\/11223083.pdf?arnumber=11223083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T19:47:19Z","timestamp":1782244039000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11223083\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":42,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3627263","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":[[2026,4]]}}}