1 citations · 1 across the 4 of their papers we have counts for
5 papers
Data-Driven Model Reduction using WeldNet: Windowed Encoders for Learning Dynamics
Biraj Dahal, Jiahui Cheng, Hao Liu +2
Many problems in science and engineering involve time-dependent, high dimensional datasets arising from complex physical processes, which are costly to simulate. In this work, we p…
Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting
Jiahui Cheng, Sung Ha Kang, Haomin Zhou +1
In the identification of differential equations from data, significant progresses have been made with the weak/integral formulation. In this paper, we explore the direction of find…
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation
Hao Liu, Jiahui Cheng, Wenjing Liao
Deep learning has exhibited remarkable results across diverse areas. To understand its success, substantial research has been directed towards its theoretical foundations. Neverthe…
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization
Jiahui Cheng, Minshuo Chen, Hao Liu +2
Label Shift has been widely believed to be harmful to the generalization performance of machine learning models. Researchers have proposed many approaches to mitigate the impact of…
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
Jiahui Cheng, Bin Guo, Jiaqi Liu +4
Surface defect detection plays an increasingly important role in manufacturing industry to guarantee the product quality. Many deep learning methods have been widely used in surfac…