Yu Zhang
Results
Journal Article
Numerical Investigation and Wind Tunnel Validation on Near-Wake Vortical Structures of Wind Turbine Blades
Advances in Applied Mathematics and Mechanics, Vol. 8 (2016), Iss. 4 : pp. 556–572
Journal Article
Generation of Three-Atom W State via Nonresonant Jaynes-Cummings Model
Journal of Atomic and Molecular Sciences, Vol. 4 (2013), Iss. 1 : pp. 91–94
Journal Article
A Simple Scheme for Realizing Six-Photon Entangled State Based on Cavity Quantum Electrodynamics
Journal of Atomic and Molecular Sciences, Vol. 3 (2012), Iss. 1 : pp. 73–77
Journal Article
A Theoretical Analysis of the Nonadiabatic Photodissociation of HF and DF Molecules: Fine-Structure Distributions of the $F(^2P_J)$ Product
Journal of Atomic and Molecular Sciences, Vol. 1 (2010), Iss. 1 : pp. 18–40
Journal Article
Five New Ab Initio Potential Energy Surfaces for the O(<sup>3</sup><em>P</em>,<sup>1</sup><em>D</em>)+H<sub>2</sub> System
Communications in Computational Chemistry, Vol. 1 (2013), Iss. 1 : pp. 63–71
Journal Article
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
Communications in Computational Physics, Vol. 32 (2022), Iss. 2 : pp. 299–335
Journal Article
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Communications in Computational Physics, Vol. 28 (2020), Iss. 5 : pp. 1746–1767
Journal Article
Stationary Solutions for a Generalized Kadomtsev-Petviashvili Equation in Bounded Domain
Communications in Mathematical Research , Vol. 30 (2014), Iss. 3 : pp. 273–283
Journal Article
Implicit Bias in Understanding Deep Learning for Solving PDEs Beyond Ritz-Galerkin Method
CSIAM Transactions on Applied Mathematics, Vol. 3 (2022), Iss. 2 : pp. 299–317
Journal Article
Theory of the Frequency Principle for General Deep Neural Networks
CSIAM Transactions on Applied Mathematics, Vol. 2 (2021), Iss. 3 : pp. 484–507
Journal Article
Wavelet Method for Boundary Integral Equations
Journal of Computational Mathematics, Vol. 18 (2000), Iss. 1 : pp. 25–42
Journal Article
Embedding Principle: A Hierarchical Structure of Loss Landscape of Deep Neural Networks
Journal of Machine Learning, Vol. 1 (2022), Iss. 1 : pp. 60–113