报告人：崔春风 教授（北京航空航天大学）

时间：2026年01月28日 14:00-

地址：理科楼LA103

摘要：I shall report a unified tensor fusion framework for hyperspectral and multispectral images fusion, which is capable of flexible self-adjustment and real-time fusion without pre-training. Then, we devise a partially linearized alternating direction method of multipliers (ADMM) algorithm with Moreau envelope smoothing, accompanied by the rigorous convergence analysis. Furthermore, I shall report the recent advances on ADMM for solving linearly constrained optimization problems whose objective function is the sum of one weakly convex and two strongly convex functions.

邀请人：李寒宇

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