Yulong Lu

Yulong Lu

University of Massachusetts Amherst

H-index: 16

North America-United States

About Yulong Lu

Yulong Lu, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Applied and Computational Mathematics, Probability, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the convergence of Sobolev gradient flow for the Gross–Pitaevskii eigenvalue problem

Generative downscaling of PDE solvers with physics-guided diffusion models

Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem

Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions

Optimal deep neural network approximation for Korobov functions with respect to Sobolev norms

Birth–death dynamics for sampling: global convergence, approximations and their asymptotics

Two-scale gradient descent ascent dynamics finds mixed nash equilibria of continuous games: A mean-field perspective

Transfer learning enhanced deeponet for long-time prediction of evolution equations

Yulong Lu Information

University

Position

___

Citations(all)

858

Citations(since 2020)

793

Cited By

250

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Yulong Lu Skills & Research Interests

Applied and Computational Mathematics

Probability

Statistics

Top articles of Yulong Lu

On the convergence of Sobolev gradient flow for the Gross–Pitaevskii eigenvalue problem

SIAM Journal on Numerical Analysis

2024/4/30

Yulong Lu
Yulong Lu

H-Index: 9

Xiangxiong Zhang
Xiangxiong Zhang

H-Index: 17

Generative downscaling of PDE solvers with physics-guided diffusion models

arXiv preprint arXiv:2404.05009

2024/4/7

Yulong Lu
Yulong Lu

H-Index: 9

Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem

arXiv preprint arXiv:2403.06028

2024/3/9

Yulong Lu
Yulong Lu

H-Index: 9

Xiangxiong Zhang
Xiangxiong Zhang

H-Index: 17

Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions

arXiv preprint arXiv:2402.08082

2024/2/12

Yulong Lu
Yulong Lu

H-Index: 9

Optimal deep neural network approximation for Korobov functions with respect to Sobolev norms

arXiv preprint arXiv:2311.04779

2023/11/8

Yulong Lu
Yulong Lu

H-Index: 9

Birth–death dynamics for sampling: global convergence, approximations and their asymptotics

Nonlinearity

2023/9/26

Two-scale gradient descent ascent dynamics finds mixed nash equilibria of continuous games: A mean-field perspective

2023/7/3

Yulong Lu
Yulong Lu

H-Index: 9

Transfer learning enhanced deeponet for long-time prediction of evolution equations

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Yulong Lu
Yulong Lu

H-Index: 9

Li Wang
Li Wang

H-Index: 0

A Regularity Theory for Static Schrödinger Equations on d in Spectral Barron Spaces

SIAM Journal on Mathematical Analysis

2023/2/28

Yulong Lu
Yulong Lu

H-Index: 9

Exponential-wrapped distributions on symmetric spaces

SIAM Journal on Mathematics of Data Science

2022/12/31

Didong Li
Didong Li

H-Index: 3

Yulong Lu
Yulong Lu

H-Index: 9

Solving multiscale steady radiative transfer equation using neural networks with uniform stability

Research in the Mathematical Sciences

2022/9

Yulong Lu
Yulong Lu

H-Index: 9

Li Wang
Li Wang

H-Index: 0

A priori generalization error analysis of two-layer neural networks for solving high dimensional Schrödinger eigenvalue problems

arXiv preprint arXiv:2105.01228

2021/5

Yulong Lu
Yulong Lu

H-Index: 9

On the representation of solutions to elliptic PDEs in Barron spaces

Advances in neural information processing systems

2021/12/6

Yulong Lu
Yulong Lu

H-Index: 9

Machine Learning for PDEs

2021/9/17

Yulong Lu
Yulong Lu

H-Index: 9

A priori generalization analysis of the deep Ritz method for solving high dimensional elliptic partial differential equations

2021/7/21

Yulong Lu
Yulong Lu

H-Index: 9

Min Wang
Min Wang

H-Index: 16

Continuum limit and preconditioned Langevin sampling of the path integral molecular dynamics

Journal of Computational Physics

2020/12/15

Yulong Lu
Yulong Lu

H-Index: 9

A mean field analysis of deep resnet and beyond: Towards provably optimization via overparameterization from depth

2020/11/21

Density estimation and modeling on symmetric spaces

arXiv preprint arXiv:2009.01983

2020/9

Didong Li
Didong Li

H-Index: 3

Yulong Lu
Yulong Lu

H-Index: 9

A universal approximation theorem of deep neural networks for expressing probability distributions

Advances in neural information processing systems

2020

Yulong Lu
Yulong Lu

H-Index: 9

Quantitative propagation of chaos in a bimolecular chemical reaction-diffusion model

SIAM Journal on Mathematical Analysis

2020

Yulong Lu
Yulong Lu

H-Index: 9

See List of Professors in Yulong Lu University(University of Massachusetts Amherst)

Co-Authors

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