Charts are common in literature across different scientific fields, conv...
Recent research understands the residual networks from a new perspective...
Thriving underwater applications demand efficient extreme compression
te...
Structural re-parameterization is a general training scheme for Convolut...
Residual networks have shown great success and become indispensable in r...
Existing deep learning-based hyperspectral image (HSI) classification wo...
Despite substantial progress in no-reference image quality assessment
(N...
Neural Architecture Search has attracted increasing attention in recent
...
Federated learning (FL) has increasingly been deployed, in its vertical ...
Residual networks have shown great success and become indispensable in
t...
Answering complex queries over knowledge graphs (KG) is an important yet...
Rule mining is an effective approach for reasoning over knowledge graph ...
Semantic segmentation is a popular research topic in computer vision, an...
Neural Architecture Search (NAS) has attracted increasingly more attenti...
Architecture ranking has recently been advocated to design an efficient ...
Sketching is a powerful dimensionality reduction technique for accelerat...
We study statistical problems, such as planted clique, its variants, and...
When digitizing a print bilingual dictionary, whether via optical charac...