1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2024★ 1 cited
Causality-guided adaptive sampling method for physics-informed neural networks
Shuning Lin, Yong Chen
Compared to purely data-driven methods, a key feature of physics-informed neural networks (PINNs) - a proven powerful tool for solving partial differential equations (PDEs) - is th…
cs.DC2020
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations
Yongchao Liu, Yue Jin, Yong Chen +4
Accelerating deep model training and inference is crucial in practice. Existing deep learning frameworks usually concentrate on optimizing training speed and pay fewer attentions t…