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科言猫学术研究的AI总结
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Yeonjong Shin

North Carolina State University

13H指数
43论文数
637被引数
收录论文 17
发表时间
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NOEM: efficient and scalable finite element method enabled by reusable neural operators神经算子赋能的高效可扩展有限元方法
errNature Computational Science
IF18.3
err2026-04-28
err0
PREAI
errWeihang Ouyang; Yeonjong Shin; Si-Wei Liu; Lu Lu
err分享
err收藏
tLaSDI: Thermodynamics-informed latent space dynamics identification
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-09-01
err0
errOAAI
errPark, Jun Sur Richard; Cheung, Siu Wun; Choi, Youngsoo; Shin, Yeonjong
err分享
err收藏
S-OPT: A POINTS SELECTION ALGORITHM FOR HYPER-REDUCTION IN REDUCED ORDER MODELS
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2024-07-16
err3
errOAAI
errLauzon, Jessica t.; Cheung, Siu wun; Shin, Yeonjong; Choi, Youngsoo; Copeland, Dylan m.; Huynh, Kevin
err分享
err收藏
ON THE TRAINING AND GENERALIZATION OF DEEP OPERATOR NETWORKS
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2024-07-01
err2
errOAAI
errLee, Sanghyun; Shin, Yeonjong
err分享
err收藏
Accelerating gradient descent and Adam via fractional gradients
errNEURAL NETWORKS
IF6.3
err2023-04-01
err13
errOAAI
errShin, Yeonjong; Darbon, Jerome; Karniadakis, George Em
err分享
err收藏
Approximation rates of DeepONets for learning operators arising from advection-diffusion equations
errNEURAL NETWORKS
IF6.3
err2022-09-01
err38
errOAAI
errDeng, Beichuan; Shin, Yeonjong; Lu, Lu; Zhang, Zhongqiang; Karniadakis, George Em
err分享
err收藏
ACTIVE NEURON LEAST SQUARES: A TRAINING METHOD FOR MULTIVARIATE RECTIFIED NEURAL NETWORKS
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2022-08-01
err3
PREAI
errAinsworth, Mark; Shin, Yeonjong
err分享
err收藏
GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems
errPHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
IF3.7
err2022-06-20
err33
errOAAI
errZhang, Zhen; Shin, Yeonjong; Karniadakis, George Em
err分享
err收藏
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions深度Kronecker神经网络: 具有自适应激活函数的神经网络的通用框架
errNEUROCOMPUTING
IF6.5
err2022-01-01
err110
errOAAI
errJagtap, Ameya D.; Shin, Yeonjong; Kawaguchi, Kenji; Karniadakis, George Em
err分享
err收藏
PLATEAU PHENOMENON IN GRADIENT DESCENT TRAINING OF RELU NETWORKS: EXPLANATION, QUANTIFICATION, AND AVOIDANCE
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2021-10-06
err11
errOAAI
errAinsworth, Mark; Shin, Yeonjong
err分享
err收藏
Sequential function approximation with noisy data带噪声数据的序列函数逼近
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2018-10-01
err4
errOAAI
errShin, Yeonjong; Wu, Kailiang; Xiu, Dongbin
err分享
err收藏
SPARSE APPROXIMATION USING l1-l2 MINIMIZATION AND ITS APPLICATION TO STOCHASTIC COLLOCATION基于l1-l2最小化的稀疏逼近及其在随机配置中的应用
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2017-01-31
err41
PREAI
errYan, Liang; Shin, Yeonjong; Xiu, Dongbin
err分享
err收藏
A RANDOMIZED ALGORITHM FOR MULTIVARIATE FUNCTION APPROXIMATION多元函数逼近的一种随机算法
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2017-01-01
err16
PREAI
errShin, Yeonjong; Xiu, Dongbin
err分享
err收藏
A RANDOMIZED TENSOR QUADRATURE METHOD FOR HIGH DIMENSIONAL POLYNOMIAL APPROXIMATION
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2017-01-01
err10
PREAI
errWu, Kailiang; Shin, Yeonjong; Xiu, Dongbin
err分享
err收藏
On a near optimal sampling strategy for least squares polynomial regression
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2016-12-01
err18
errOAAI
errShin, Yeonjong; Xiu, Dongbin
err分享
err收藏
CORRECTING DATA CORRUPTION ERRORS FOR MULTIVARIATE FUNCTION APPROXIMATION
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2016-01-01
err10
PREAI
errShin, Yeonjong; Xiu, Dongbin
err分享
err收藏
NONADAPTIVE QUASI-OPTIMAL POINTS SELECTION FOR LEAST SQUARES LINEAR REGRESSION
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2016-01-01
err51
PREAI
errShin, Yeonjong; Xiu, Dongbin
err分享
err收藏

研究方向

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合作学者
合作期刊
G
George Em Karniadakis
H 指数: 130 · 论文数: 1.3K
M
Mark Ainsworth
H 指数: 74 · 论文数: 490
D
Dongbin Xiu
H 指数: 44 · 论文数: 251
K
Kenji Kawaguchi
H 指数: 40 · 论文数: 455
L
Lu Lu
H 指数: 35 · 论文数: 152
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