27 citations · 43 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 27 cited
Accelerating Physics-Informed Neural Network Training with Prior Dictionaries
Wei Peng, Weien Zhou, Jun Zhang +1
Physics-Informed Neural Networks (PINNs) can be regarded as general-purpose PDE solvers, but it might be slow to train PINNs on particular problems, and there is no theoretical gua…
cs.CL2020★ 14 cited
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation
Wei Peng, Chongxuan Huang, Tianhao Li +2
Existing data augmentation approaches for neural machine translation (NMT) have predominantly relied on back-translating in-domain (IND) monolingual corpora. These methods suffer f…
cs.LG2020★ 2 cited
Applying Cyclical Learning Rate to Neural Machine Translation
Choon Meng Lee, Jianfeng Liu, Wei Peng
In training deep learning networks, the optimizer and related learning rate are often used without much thought or with minimal tuning, even though it is crucial in ensuring a fast…