no code implementations • 18 Dec 2023 • Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klöwer, Yue Yu
In this work, we introduce conservation law-encoded neural operators (clawNOs), a suite of NOs that endow inference with automatic satisfaction of such conservation laws.
no code implementations • 15 Jun 2021 • Yibo Guo, Yiming Fan, Zhiyang Xiang, Haidi Wang, Wenhua Meng, Mingliang Xu
Defect detection and classification technology has changed from traditional artificial visual inspection to current intelligent automated inspection, but most of the current defect detection methods are training related detection models based on a data-driven approach, taking into account the difficulty of collecting some sample data in the industrial field.
no code implementations • 10 Jun 2021 • Yibo Guo, Haidi Wang, Yiming Fan, Shunyao Li, Mingliang Xu
In this paper, we introduce a new super-resolution image reconstruction generative adversarial network framework, and a Bayesian optimization method used to optimizing the hyperparameters of the generator and discriminator.
no code implementations • 10 Jun 2021 • Yibo Guo, Haidi Wang, Yiming Fan, Shunyao Li, Mingliang Xu
The generator consists of feature extraction and image reconstruction.