activity
20012023
most citedThe role of hydro power, storage and transmission in the decarbonization of the Chinese power system

132 citations · 914 across the 68 of their papers we have counts for

collaborators

68 papers

math.AP2023

On critical thresholds for hyperbolic balance law systems

Manas Bhatnagar, Hailiang Liu

We review the theoretical development in the study of critical thresholds for hyperbolic balance laws. The emphasis is on two classes of systems: Euler-Poisson-alignment (EPA) syst…

math.AP2023★ 1 cited

A complete characterization of sharp thresholds to spherically symmetric multidimensional pressureless Euler-Poisson systems

Manas Bhatnagar, Hailiang Liu

The Euler-Poisson (EP) system models the dynamics of a variety of physical processes, including charge transport, collisional plasmas, and certain cosmological wave phenomena. In t…

math.OC2022

Anderson acceleration of gradient methods with energy for optimization problems

Hailiang Liu, Jia-Hao He, Xuping Tian

Anderson acceleration (AA) as an efficient technique for speeding up the convergence of fixed-point iterations may be designed for accelerating an optimization method. We propose a…

math.AP2022★ 1 cited

On the invariant region for compressible Euler equations with a general equation of state

Hailiang Liu, Ferdinand Thein

The state space for solutions of the compressible Euler equations with a general equation of state is examined. An arbitrary equation of state is allowed, subject only to the physi…

math.AP2022

Global Dynamics and Photon Loss in the Kompaneets Equation

Joshua Ballew, Gautam Iyer, C. David Levermore +2

The Kompaneets equation governs dynamics of the photon energy spectrum in certain high temperature (or low density) plasmas. We prove several results concerning the long-time conve…

cs.LG2022

SGEM: stochastic gradient with energy and momentum

Hailiang Liu, Xuping Tian

In this paper, we propose SGEM, Stochastic Gradient with Energy and Momentum, to solve a large class of general non-convex stochastic optimization problems, based on the AEGD metho…