{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:48:46Z","timestamp":1781016526119,"version":"3.54.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["62372048"],"award-info":[{"award-number":["62372048"]}],"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":["62371069"],"award-info":[{"award-number":["62371069"]}],"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":["62272056"],"award-info":[{"award-number":["62272056"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["4222031"],"award-info":[{"award-number":["4222031"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"Higher Education Discipline Innovation Project","doi-asserted-by":"publisher","award":["B21049"],"award-info":[{"award-number":["B21049"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Fuzzy Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tfuzz.2024.3435792","type":"journal-article","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T17:40:29Z","timestamp":1724089229000},"page":"491-502","source":"Crossref","is-referenced-by-count":23,"title":["Quantum-Assisted Hierarchical Fuzzy Neural Network for Image Classification"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0616-4802","authenticated-orcid":false,"given":"Shengyao","family":"Wu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5552-0834","authenticated-orcid":false,"given":"Runze","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqi","family":"Song","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6405-6711","authenticated-orcid":false,"given":"Sujuan","family":"Qin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7142-9726","authenticated-orcid":false,"given":"Qiaoyan","family":"Wen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1546-4364","authenticated-orcid":false,"given":"Fei","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639100"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10562-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103485"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2914642"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2019.2893618"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.10.011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2574915"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2946520"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/acb900"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102085"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88690-7_52"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref13","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky","year":"2012"},{"key":"ref14","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01385"},{"key":"ref17","first-page":"3965","article-title":"CoatNet: Marrying convolution and attention for all data sizes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Dai","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3286826"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2936787"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3125799"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2022.3207607"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.11.140"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.12.027"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/nature23474"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11433-023-2144-9"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-5670(08)70147-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(03)00087-X"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.109.050505"},{"key":"ref31","article-title":"Quantum algorithms for supervised and unsupervised machine learning","author":"Lloyd","year":"2013"},{"key":"ref32","first-page":"4134","article-title":"Q-means: A quantum algorithm for unsupervised machine learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Kerenidis","year":"2019"},{"key":"ref33","article-title":"An overview of gradient descent optimization algorithms","author":"Ruder","year":"2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.22331\/q-2020-02-06-226"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.98.032309"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.121.040502"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41567-019-0648-8"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.101.032308"},{"issue":"8","key":"ref39","doi-asserted-by":"crossref","first-page":"8677-8686","DOI":"10.1109\/TITS.2022.3203791","article-title":"Temporal-spatial quantum graph convolutional neural network based on schrdinger approach for traffic congestion prediction","volume":"24","author":"Qu","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1140\/epjqt\/s40507-023-00166-1"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11433-023-2337-2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3389\/fphy.2024.1362690"},{"key":"ref43","article-title":"Quantum decision, quantum logic, and fuzzy sets","author":"Melnichenko","year":"2007"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/tfuzz.2024.3419559"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2005.861604"},{"key":"ref46","first-page":"689","article-title":"Multimodal deep learning","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Ngiam","year":"2011"},{"key":"ref47","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot","year":"2010"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00057"},{"key":"ref49","article-title":"Deterministic neural networks with appropriate inductive biases capture epistemic and aleatoric uncertainty","author":"Mukhoti","year":"2021"},{"key":"ref50","article-title":"Scene-15 dataset"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1998.670949"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3900990"},{"key":"ref53","article-title":"Fashion-mnist: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"key":"ref54","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref55","article-title":"fylearn, Fuzzy machine learning algorithms","year":"2020"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2004.839670"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2010.2093532"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2879406"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5242"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11433-022-1921-y"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1002\/qute.201900070"}],"container-title":["IEEE Transactions on Fuzzy Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/91\/10834447\/10638794.pdf?arnumber=10638794","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T20:26:45Z","timestamp":1736454405000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10638794\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":61,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tfuzz.2024.3435792","relation":{},"ISSN":["1063-6706","1941-0034"],"issn-type":[{"value":"1063-6706","type":"print"},{"value":"1941-0034","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}