no code implementations • 31 May 2023 • Xuan Liang, Tao Zou
With the rapid advancements in technology for data collection, the application of the spatial autoregressive (SAR) model has become increasingly prevalent in real-world analysis, particularly when dealing with large datasets.
no code implementations • 25 Sep 2019 • Wanming Huang, Shuai Jiang, Xuan Liang, Ian Oppermann, Richard Yi Da Xu
Instead of defining p(x|k, θ) explicitly, we devised a modified GAN to allow us to define the distribution using p(z|k, θ), where z is the corresponding latent representation of x, as well as p(k|x, θ) through an additional classification network which is trained with the GAN in an “end-to-end” fashion.
no code implementations • 14 Feb 2019 • Xuan Liang, Yida Xu
In this work, we introduce a new data set, named Action Generation Data Set (AGDS) which is specifically designed to carry out the task of caption-to-action generation.