{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T15:56:14Z","timestamp":1776441374653,"version":"3.51.2"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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":["61976030"],"award-info":[{"award-number":["61976030"]}],"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":["62072061"],"award-info":[{"award-number":["62072061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Natural Science Foundation of Chongqing Municipality","doi-asserted-by":"publisher","award":["CSTB2024NSCQ-MSX1118"],"award-info":[{"award-number":["CSTB2024NSCQ-MSX1118"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007957","name":"Chongqing Municipal Education Commission","doi-asserted-by":"publisher","award":["KJZD-M202500804"],"award-info":[{"award-number":["KJZD-M202500804"]}],"id":[{"id":"10.13039\/501100007957","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tifs.2025.3592561","type":"journal-article","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T17:54:21Z","timestamp":1753379661000},"page":"7911-7926","source":"Crossref","is-referenced-by-count":1,"title":["WTxGRN: Wavelet Transform-Based Extended Gated Recurrent Network for Palm Vein Recognition"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4911-0393","authenticated-orcid":false,"given":"Huafeng","family":"Qin","sequence":"first","affiliation":[{"name":"National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1937-4377","authenticated-orcid":false,"given":"Yuming","family":"Fu","sequence":"additional","affiliation":[{"name":"National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5614-0705","authenticated-orcid":false,"given":"Jing","family":"Chen","sequence":"additional","affiliation":[{"name":"National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2744-2170","authenticated-orcid":false,"given":"Qun","family":"Song","sequence":"additional","affiliation":[{"name":"National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7648-5671","authenticated-orcid":false,"given":"Yantao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7383-0588","authenticated-orcid":false,"given":"Mounim A.","family":"El-Yacoubi","sequence":"additional","affiliation":[{"name":"SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6806-6300","authenticated-orcid":false,"given":"Dexing","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Automation Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2850320"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3001410"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3132332"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3059340"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3324681"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2023.3317303"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3243782"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/ietisy\/e90-d.8.1185"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1179\/1743131X12Y.0000000013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-69923-3_34"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref14","first-page":"1","article-title":"Adversarial AutoMixup","volume-title":"Proc. ICLR","author":"Qin"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73021-4_5"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3327667"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3261909"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2024.3381654"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3378427"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00042"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref22","article-title":"XLSTM: Extended long short-term memory","author":"Beck","year":"2024","journal-title":"arXiv:2405.04517"},{"key":"ref23","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(97)00011-7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00331"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.adi1480"},{"key":"ref27","first-page":"32160","article-title":"GLIF: A unified gated leaky integrate-and-fire neuron for spiking neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yao"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref29","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3474198.3478217"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3173276"},{"key":"ref32","first-page":"33202","article-title":"Hierarchically gated recurrent neural network for sequence modeling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Qin"},{"key":"ref33","article-title":"HGRN2: Gated linear RNNs with state expansion","author":"Qin","year":"2024","journal-title":"arXiv:2404.07904"},{"key":"ref34","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023","journal-title":"arXiv:2312.00752"},{"key":"ref35","first-page":"13904","article-title":"Combining recurrent, convolutional, and continuous-time models with linear state space layers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gu"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.936"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00682"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0788-3"},{"key":"ref39","article-title":"Spiking deep networks with LIF neurons","author":"Hunsberger","year":"2015","journal-title":"arXiv:1510.08829"},{"key":"ref40","article-title":"Optimal conversion of conventional artificial neural networks to spiking neural networks","author":"Deng","year":"2021","journal-title":"arXiv:2103.00476"},{"key":"ref41","first-page":"6316","article-title":"A free lunch from ANN: Towards efficient, accurate spiking neural networks calibration","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01212"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3275769"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2024.3435135"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2931595"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6787"},{"key":"ref47","first-page":"21056","article-title":"Deep residual learning in spiking neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Fang"},{"key":"ref48","article-title":"Spikformer: When spiking neural network meets transformer","author":"Zhou","year":"2022","journal-title":"arXiv:2209.15425"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3241201"},{"key":"ref50","article-title":"Vision-LSTM: XLSTM as generic vision backbone","author":"Alkin","year":"2024","journal-title":"arXiv:2406.04303"},{"key":"ref51","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015","journal-title":"arXiv:1502.03167"},{"key":"ref52","article-title":"Online normalizer calculation for softmax","author":"Milakov","year":"2018","journal-title":"arXiv:1805.02867"},{"key":"ref53","first-page":"1","article-title":"Parallelizing linear recurrent neural nets over sequence length","volume-title":"Proc. ICLR","author":"Martin"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/BF00206223"},{"key":"ref55","first-page":"5156","article-title":"Transformers are RNNs: Fast autoregressive transformers with linear attention","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Katharopoulos"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.473"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/PGEC.1965.264137"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1710.05941"},{"key":"ref59","article-title":"Layer normalization","author":"Lei Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72949-2_21"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3390\/sym10040078"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2009.2028772"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2015.7139056"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901335"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7502-7_79-1"},{"key":"ref67","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017","journal-title":"arXiv:1711.05101"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00400"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3355393"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757323"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17320"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10206\/10810755\/11095785.pdf?arnumber=11095785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T18:44:25Z","timestamp":1754333065000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11095785\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1109\/tifs.2025.3592561","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}