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Author

Qin-Wen Deng

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Preprint Oct 2026

Hybrid Momentum Methods for Optimizing Deep Learning Models

Momentum is central to stochastic optimization in deep learning, including the training of large language models. Classical momentum methods typically rely on a fast exponential moving average (EMA) scheme, which discounts past gradients on a fixed timescale and may underweight older gradients that remain informative....

Hai-Feng Xu, Yi-Jin Ren, Chenyu Zhou et al. · 0 citations
Open access Sep 2026

Large-scale semidefinite programming with graphics processing units

By leveraging the hidden low-rank structure of large SDPs with sparse problem data, it is demonstrated that the parallel processing power of modern graphics processing units can substantially accelerate the solution process and enable much larger problems to be solved.

Qiu-Shi Han, Zhen-Wei Lin, Han-Wen Liu et al. · 1 citation

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