{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:27:20Z","timestamp":1772908040635,"version":"3.50.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"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":["62071416"],"award-info":[{"award-number":["62071416"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Select. Areas Commun."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/jsac.2024.3414626","type":"journal-article","created":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T17:35:21Z","timestamp":1718386521000},"page":"2832-2846","source":"Crossref","is-referenced-by-count":4,"title":["A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Sensing Over Wireless Networks"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5602-8879","authenticated-orcid":false,"given":"Zhixiang","family":"Hu","sequence":"first","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3943-5234","authenticated-orcid":false,"given":"An","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0097-5062","authenticated-orcid":false,"given":"Wenkang","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4037-3149","authenticated-orcid":false,"given":"Tony Q. S.","family":"Quek","sequence":"additional","affiliation":[{"name":"Department of Information Systems Technology and Design, Singapore University of Technology and Design, Tampines, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minjian","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3156632"},{"key":"ref2","article-title":"Variational algorithms for approximate Bayesian inference","author":"Beal","year":"2003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2640294"},{"key":"ref4","article-title":"Probabilistic inference using Markov chain Monte Carlo methods","author":"Neal","year":"1993"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3437-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2016.2545665"},{"key":"ref7","first-page":"1","article-title":"Stein variational gradient descent: A general purpose Bayesian inference algorithm","volume-title":"Proc. Adv. Neural Inf. Process. (NIPS)","volume":"29","author":"Liu"},{"key":"ref8","first-page":"814","article-title":"Black box variational inference","volume-title":"Proc. Int. Conf. Artif. Intell. Stat. (AISTATS)","author":"Ranganath"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/78.978374"},{"key":"ref10","first-page":"985","article-title":"Provable Bayesian inference via particle mirror descent","volume-title":"Proc. Int. Conf. Artif. Intell. Stat. (AISTATS)","author":"Dai"},{"key":"ref11","first-page":"1303","article-title":"Stochastic variational inference","volume":"14","author":"Hoffman","year":"2013","journal-title":"J. Mach. Learn. Res."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2925601"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2531627"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437055"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS47522.2019.9020494"},{"key":"ref16","article-title":"Deep unfolding: Model-based inspiration of novel deep architectures","author":"Hershey","year":"2014","journal-title":"arXiv:1410.0342"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3140926"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SSP49050.2021.9513734"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3205478"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685707"},{"key":"ref21","first-page":"1","article-title":"Hypernetworks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Ha"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3269624"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1985.1164557"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/29.31267"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3367752"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070707"},{"key":"ref27","article-title":"Categorical reparameterization with Gumbel-Softmax","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Jang"},{"key":"ref28","article-title":"Alternating projections","author":"Boyd","year":"2003"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3035832"},{"key":"ref30","volume-title":"Study on Channel Model for Frequencies From 0.5 to 100 GHz; Version 16.1.0; (Release 16)","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2013.2260619"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/BF01581643"},{"key":"ref33","volume-title":"Linear Operators: Part 1 General Theory","author":"Dunford","year":"1958"}],"container-title":["IEEE Journal on Selected Areas in Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/49\/10683890\/10557666.pdf?arnumber=10557666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T17:28:25Z","timestamp":1726766905000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10557666\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":33,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/jsac.2024.3414626","relation":{},"ISSN":["0733-8716","1558-0008"],"issn-type":[{"value":"0733-8716","type":"print"},{"value":"1558-0008","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}