1 code implementation • 3 Aug 2022 • Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Y. Goulermas, Kaizhu Huang
While exogenous variables have a major impact on performance improvement in time series analysis, inter-series correlation and time dependence among them are rarely considered in the present continuous methods.
1 code implementation • 12 Jul 2022 • Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang
Image outpainting, which is well studied with Convolution Neural Network (CNN) based framework, has recently drawn more attention in computer vision.
1 code implementation • 27 Jan 2022 • Penglei Gao, Xi Yang, Rui Zhang, John Y. Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
In this paper, we develop a novel transformer-based generative adversarial neural network called U-Transformer for generalised image outpainting problem.
1 code implementation • 26 Nov 2020 • Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
We propose a continuous neural network architecture, termed Explainable Tensorized Neural Ordinary Differential Equations (ETN-ODE), for multi-step time series prediction at arbitrary time points.