{"ID":2887889,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.00475","arxiv_id":"2508.00475","title":"E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer","abstract":"(1) Pengcheng Laboratory, (2) Southern University of Science and Technology, (3) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, (4) University of Chinese Academy of Sciences","short_abstract":"(1) Pengcheng Laboratory, (2) Southern University of Science and Technology, (3) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, (4) University of Chinese Academy of Sciences","url_abs":"https://arxiv.org/abs/2508.00475","url_pdf":"https://arxiv.org/pdf/2508.00475v1","authors":"[\"Yunhao Ma\",\"Yanyu Lin\",\"Mingjing Li\",\"Puli Quan\",\"Chenlin Zhou\",\"Wenyue Zhang\",\"Zhiwei Zhong\",\"Wanyi Jia\",\"Xueke Zhu\",\"Qingyan Meng\",\"Huihui Zhou\",\"Fengwei An\"]","published":"2025-08-01T09:50:40Z","proceeding":"cs.AR","tasks":"[\"cs.AR\",\"cs.NE\"]","methods":"[\"Transformer\"]","has_code":false}