7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Convergence of Spectral Descent for Non-smooth Optimization
Yixuan Yang, Yuqing He, Song Li
The Muon optimizer has recently demonstrated remarkable empirical success in training large language models. However, the theoretical understanding of its mechanisms remains limite…
cs.IT2025
Stable recovery guarantees for blind deconvolution under random mask assumption
Song Li, Yu Xia
This study addresses the blind deconvolution problem with modulated inputs, focusing on a measurement model where an unknown blurring kernel is convolved with mult…
cs.LG2021★ 7 cited
Dynamic Differential-Privacy Preserving SGD
Jian Du, Song Li, Xiangyi Chen +2
The vanilla Differentially-Private Stochastic Gradient Descent (DP-SGD), including DP-Adam and other variants, ensures the privacy of training data by uniformly distributing privac…