{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T09:08:01Z","timestamp":1765357681749,"version":"3.44.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650654","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:35:05Z","timestamp":1725888905000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["RTFormer: Re-parameter TSBN Spiking Transformer"],"prefix":"10.1109","author":[{"given":"Hongzhi","family":"Wang","sequence":"first","affiliation":[{"name":"Zhejiang University,School of Software Technology,Ningbo,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiubo","family":"Liang","sequence":"additional","affiliation":[{"name":"Zhejiang University,School of Software Technology,Ningbo,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengjian","family":"Li","sequence":"additional","affiliation":[{"name":"Zhejiang Lab,Research Center for Data Hub and Security,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University,School of Software Technology,Ningbo,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_22"},{"article-title":"Palm 2 technical report","year":"2023","author":"Anil","key":"ref3"},{"article-title":"Llama 2: Open foundation and fine-tuned chat models","year":"2023","author":"Touvron","key":"ref4"},{"key":"ref5","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"article-title":"Scaling language models: Methods, analysis & insights from training gopher","year":"2021","author":"Rae","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3241201"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(97)00011-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00331"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00266"},{"key":"ref11","first-page":"32160","article-title":"Glif: A unified gated leaky integrate-and-fire neuron for spiking neural networks","volume":"35","author":"Yao","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/343"},{"article-title":"Parallel spiking neurons with high efficiency and long-term dependencies learning ability","year":"2023","author":"Fang","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19874"},{"key":"ref15","first-page":"6316","article-title":"A free lunch from ann: Towards efficient, accurate spiking neural networks calibration","volume-title":"International conference on machine learning","author":"Li"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0788-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6787"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00603"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1504\/ijhfms.2023.130146"},{"article-title":"Spikegpt: Generative pre-trained language model with spiking neural networks","year":"2023","author":"Zhu","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i10.28975"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892262"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/338"},{"article-title":"Spiking gats: Learning graph attentions via spiking neural network","year":"2022","author":"Wang","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.112130359"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1424-8"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3119238"},{"key":"ref29","first-page":"21056","article-title":"Deep residual learning in spiking neural networks","volume":"34","author":"Fang","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"article-title":"Advancing spiking neural networks towards deep residual learning","year":"2021","author":"Hu","key":"ref30"},{"article-title":"Spikformer: When spiking neural network meets transformer","year":"2022","author":"Zhou","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"article-title":"Spike-driven transformer","year":"2023","author":"Yao","key":"ref33"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.773954"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17320"},{"key":"ref36","first-page":"34377","article-title":"Temporal effective batch normalization in spiking neural networks","volume":"35","author":"Duan","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"volume-title":"Theoretical neuroscience: computational and mathematical modeling of neural systems","year":"2005","author":"Dayan","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.adi1480"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01357"},{"article-title":"Spike calibration: Fast and accurate conversion of spiking neural network for object detection and segmentation","year":"2022","author":"Li","key":"ref40"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01779"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757323"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650654.pdf?arnumber=10650654","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T17:38:39Z","timestamp":1756489119000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650654\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650654","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}