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20182023
most citedField-free spin-orbit torque switching from geometrical domain wall pinning

66 citations · 101 across the 16 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cond-mat.str-el2022★ 3 cited

Long-range spin-orbital order in the spin-orbital SU(2)SU(2)U(1) model

Yang Liu, Z. Y. Xie, Hong-Gang Luo +1

By using the tensor-network state algorithm, we study a spin-orbital model with SU(2)SU(2)U(1) symmetry on the triangular lattice. This model was proposed to descri…

cs.CV2022

Soft Augmentation for Image Classification

Yang Liu, Shen Yan, Laura Leal-Taixé +2

Modern neural networks are over-parameterized and thus rely on strong regularization such as data augmentation and weight decay to reduce overfitting and improve generalization. Th…

cs.LG2022★ 11 cited

Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization

Hengrui Luo, Younghyun Cho, James W. Demmel +2

This paper presents a new type of hybrid model for Bayesian optimization (BO) adept at managing mixed variables, encompassing both quantitative (continuous and integer) and qualita…

math.AP2022★ 3 cited

Entropy-bounded solutions to the 3D compressible heat-conducting magnetohydrodynamic equations with vacuum at infinity

Yang Liu, Xin Zhong

The mathematical analysis on the behavior of the entropy for viscous, compressible, and heat conducting magnetohydrodynamic flows near the vacuum region is a challenging problem as…

math.AP2022

Global existence of strong solutions with large oscillations and vacuum to the compressible nematic liquid crystal flows in 3D bounded domains

Yang Liu, Xin Zhong

We investigate compressible nematic liquid crystal flows in three-dimensional (3D) bounded domains with slip boundary condition for velocity and Neumann boundary condition for orie…

cs.LG2022★ 4 cited

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning

Shaopeng Fu, Fengxiang He, Yang Liu +2

The tremendous amount of accessible data in cyberspace face the risk of being unauthorized used for training deep learning models. To address this concern, methods are proposed to…