应数学与统计学院邀请，西北农林科技大学樊宏涛教授为我院师生作学术报告。
报告题目：Tensor Computation Problems Based on Laplacian Matrix Decomposition
报告摘要：This report investigates tensor computation problems based on Laplacian matrix decomposi-tion, with applications in high-dimensional data analysis. We propose a novel framework that integrates graph Laplacian regularization with tensor decomposition to capture both the structure of data and the intrinsic correlations. By formulating the problem, we develop an efficient alternating minimization algorithm to decompose high-order tensors while preserving graph properties. Theoretical analysis establishes convergence guarantees under mild conditions, and experimental results on real-world datasets demonstrate superior performance compared to conventional matrix-based approaches.
报告时间：2025年05月24日16:00
报告地点：教学9号楼D07
邀 请 人：孟令胜教授、缪树鑫教授
樊宏涛，西北农林科技大学教授，博士生导师。2021年入选西北农林科技大学首批高层次人才发展支持计划，现担任西北农林科技大学理学院数学系副主任。主要从事数值代数、图像与智能数据处理、人工智能、随机分析与动力学等方面的研究工作。先后主持国家自然科学基金青年项目、陕西省自然科学基础研究计划一般项目(青年)等多项科研项目。已在IEEE Transactions on Image Processing、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Automatic Control、Pattern Recognition、Neurocomputing、Journal of Computational Mathematics等国际国内杂志上发表学术论文30余篇。
甘肃省数学与统计学基础学科研究中心
数学与统计学院
