5 papers
Global Pixel Transformers for Virtual Staining of Microscopy Images
Yi Liu, Hao Yuan, Zhengyang Wang +1
Visualizing the details of different cellular structures is of great importance to elucidate cellular functions. However, it is challenging to obtain high quality images of differe…
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
Convolutional neural networks (CNNs) have shown great capability of solving various artificial intelligence tasks. However, the increasing model size has raised challenges in emplo…
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.…
Supersingular representations of rank 1 groups
Karol Koziol
We prove that any connected reductive group of semisimple -rank 1 over a -adic field admits an irreducible admissible supersingular mod- representation. This establishes o…
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…