466 citations · 561 across the 9 of their papers we have counts for
4 papers · 1 filter
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
Convolutional neural networks (CNNs) have achieved great success on grid-like data such as images, but face tremendous challenges in learning from more generic data such as graphs.…
Learning Convolutional Text Representations for Visual Question Answering
Zhengyang Wang, Shuiwang Ji
Visual question answering is a recently proposed artificial intelligence task that requires a deep understanding of both images and texts. In deep learning, images are typically mo…
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions
Zhengyang Wang, Hao Yuan, Shuiwang Ji
The key idea of variational auto-encoders (VAEs) resembles that of traditional auto-encoder models in which spatial information is supposed to be explicitly encoded in the latent s…
Pixel Deconvolutional Networks
Hongyang Gao, Hao Yuan, Zhengyang Wang +1
Deconvolutional layers have been widely used in a variety of deep models for up-sampling, including encoder-decoder networks for semantic segmentation and deep generative models fo…