2 citations · 4 across the 5 of their papers we have counts for
5 papers
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification
Yiming Fan, Marta D'Elia, Yue Yu +2
We consider the problem of modeling heterogeneous materials where micro-scale dynamics and interactions affect global behavior. In the presence of heterogeneities in material micro…
Discovering Representation Sprachbund For Multilingual Pre-Training
Yimin Fan, Yaobo Liang, Alexandre Muzio +4
Multilingual pre-trained models have demonstrated their effectiveness in many multilingual NLP tasks and enabled zero-shot or few-shot transfer from high-resource languages to low…
Zero-sample surface defect detection and classification based on semantic feedback neural network
Yibo Guo, Yiming Fan, Zhiyang Xiang +3
Defect detection and classification technology has changed from traditional artificial visual inspection to current intelligent automated inspection, but most of the current defect…
A self-adapting super-resolution structures framework for automatic design of GAN
Yibo Guo, Haidi Wang, Yiming Fan +2
With the development of deep learning, the single super-resolution image reconstruction network models are becoming more and more complex. Small changes in hyperparameters of the m…
Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN
Yibo Guo, Haidi Wang, Yiming Fan +2
With the effective application of deep learning in computer vision, breakthroughs have been made in the research of super-resolution images reconstruction. However, many researches…