1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2026
Adam-SHANG: A Convergent Adam-Type Method for Stochastic Smooth Convex Optimization
Yaxin Yu, Long Chen, Minfu Feng
We propose Adam-SHANG, a Lyapunov-guided Adam-type method that couples momentum, adaptive preconditioning, and a curvature-aware correction through a more stable lagged-preconditio…
math.OC2026
SHANG++: Robust Stochastic Acceleration under Multiplicative Noise
Yaxin Yu, Long Chen, Minfu Feng
Under the multiplicative noise scaling (MNS) condition, original Nesterov acceleration is provably sensitive to noise and may diverge when gradient noise overwhelms the signal. In…
math.NA2023★ 1 cited
A Pressure-Stabilized Continuous Data Assimilation Reduced Order Model
Xi Li, Youcai Xu, Minfu Feng
We present a novel reduced-order pressure stabilization strategy based on continuous data assimilation(CDA) for two-dimensional incompressible Navier-Stokes equations. A feedback c…