演讲人:刘勇(中国人民大学)时间:11:45-13:00, Nov 27, 2025 (Thu)地点:RM 1-202, FIT Building内容:Transformer 是当前大模型的核心架构,在自然语言处理、计算机视觉等领域展现出卓越性能,但其内在机理的理解仍较为有限。本报告从统计物理能量视角构建新框架,发现自注意力机制本质是最小化 Helmholtz 自由能的过程,由此为其提供了物理层面的原理解释。在此基础上,进一步从能量视角设计了新型 Transformer 架构,且实...
2025年11月24日,丹麦皇家科学和文学院院士、丹麦哥本哈根大学教授Mikkel Thorup做客清华大学交叉信息院,带来题为“兼顾速度与质量的关系聚类(Fast and Good Correlation Clustering)”特邀报告。交叉信息院副教授段然主持讲座。师生齐聚FIT楼1-222会议室,聆听讲座。关系聚类(Correlation Clustering )是一个在图论、机器学习和数据挖掘中有很多应用的重要问题。但其精确求解是 NP 难的,因此研究重点长期聚焦于近似算...
演讲人:Mikkel Thorup [University of Copenhage]时间:14:00-15:00, Nov 24, 2025 (Mon)地点:RM 1-222, FIT Building内容:A clustering is a partitioning into sets called clusters. The input to (unweighted) correlation clustering is an unweighted graph. We want to cluster the vertices so as to minimimize the number of edges between clusters plus the number of non-edges inside clusters.Recently there...
演讲人:Jung Ho Ahn [首尔国立大学] 时间:10:00-11:00, Nov 7, 2025 (Fri)地点:RM 1-222, FIT Building内容:GPUs continue to redefine performance boundaries across diverse workloads. This talk presents two compelling examples from our latest research, underscoring the critical role of programmable accelerators. First, we demonstrate how our group surpassed DARPA's ambitious 2021 DPRIVE ASIC target...
演讲人:Lingjie Duan [SUTD]时间:14:00-15:00, Nov 6, 2025 (Thu)地点:FIT1-312内容:Existing AI methods (model-based optimization, deep reinforcement Learning) struggle with generalization and rapid adaptation in dynamic wireless networks. This work pioneers "LLM for Wireless," harnessing the general intelligence of Large Language Models (LLMs) to proactively optimize network infrastructure, mov...
演讲人:刘鑫 [华中科技大学]时间:16:00-17:00, Oct 28, 2025 (Tue)地点:RM S327, MMW Building内容:Majorana zero modes (MZMs) exhibit non-Abelian braiding statistics, rendering them a cornerstone for topological quantum computing. A robust MZM platform demands a wide topological superconducting parameter space that facilitates experimental detection and control of MZMs and provides a promising de...