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徐卫志、于惠团队在Transformer模型压缩领域取得重要进展
2026-05-19
我院徐卫志、于惠团队近期在人工智能领域的国际顶级学术会议The Thirty-Ninth Annual Conference on Neural Information Processing Systems 2025 (NeurIPS 2025，第39届神经信息处理系统大会)上发表了题为“Attribution-Driven Adaptive Token Pruning for Transformers”的研究论文，为Transformer模型的高效压缩和加速推理提供了突破性的新方法。本研究提出了一种基于归因的自适应令牌剪枝方法（AD-TP），旨在通过智能筛选和保留最重要的令牌，...
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信工学院科研成果
2022-03-25
序号题目作者作者类型时间级别期刊/会议1A General 3D non-stationary wireless channel model for 5g and beyond边际论文一作2021.01SCI一区IEEE Transactions on Wireless Communications2Quantitative Radiomic Features as New Biomarkers for Alzheimer’s Disease: An Amyloid PET丁艳辉论文一作2021.1SCI一区Cerebral Cortex3Nash equilibrium and group strategy consensus of networked evolutionary game with couple...
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