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Author

Shenghan Mei

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Open access Sep 2026

ADMM and linearized ADMM for weakly convex minimization

We study a class of weakly convex optimization problems in which the objective is the sum of a smooth convex term and a weakly convex term that may be non-smooth. To exploit this structure, we develop a splitting technique based on the alternating direction method of multipliers (ADMM), which decouples the minimization...

Sheng-Han Mei, Cheng-Yu Ke, Yifei Lou et al. · 0 citations
Preprint Aug 2026

Transform-Based Multilinear Algebra via Tensor Decomposition

This work develops TTD- and HTD-based formulations for the T-product and its associated key algebra by operating directly on the factor matrices or tensors of the decompositions of the decompositions.

Yi-Dan Mei, Sheng-Han Mei, Zi-Qin He et al. · 0 citations

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