Author

Ming-Yi Li

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Preprint Aug 2026

Muon with Finite Newton-Schulz: The Smoothing Benefit in Nonsmooth Nonconvex Optimization

Muon has emerged as a strong optimizer for the matrix-valued parameters in large language model pretraining, approximately orthogonalizing its momentum with a few Newton-Schulz iterations. Existing theory either replaces this iteration with the exact polar factor it approximates, or treats its finite depth as an approx...

Ming-Yi Li, Taira Tsuchiya · 4 citations · ⚡1

Sep 2026

Alternating Distillation and Resource-Adaptive Pruning for Federated Large Model Adaptation.

This study delves into large PFMs adaptation in the resource-constrained federated learning environment, and proposes an innovative framework, namely ADRAP, which alternates between large model distillation and resource-adaptive pruning, with guaranteed convergence.

Xiao Zhang, Yang-Yang Wang, Xing-Yu Sun et al. · IEEE Transactions on Pattern... · 0 citations

Open access Sep 2026

Discovery of Multicomponent Invar Materials With Low Thermal Expansion, High Curie Temperature, and Superior Phase Stability Assisted by Active Learning.

Zero thermal expansion (ZTE) materials provide exceptional dimensional stability under temperature fluctuations, making them indispensable for high-precision instrumentation and extreme environments. However, their natural scarcity, combined with the vast compositional space in multicomponent systems, renders tradition...

Song Yang, Jing-Han Li, Wan-Da Yang et al. · Advances in Materials · 0 citations