Publications

A ConvNet for the 2020s

The "Roaring 20s" of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art image classification...

Optuna

The purpose of this study is to introduce new design-criteria for next-generation hyperparameter optimization software. The criteria we propose include (1) define-by-run API tha...

[21] Specific synthesis of DNA in vitro via a polymerase-catalyzed chain reaction

PICRUSt2 for prediction of metagenome functions

Assembly of long, error-prone reads using repeat graphs

Dimensionality reduction for visualizing single-cell data using UMAP

Image Super-Resolution Via Sparse Representation

This paper presents a new approach to single-image super-resolution, based on sparse signal representation. Research on image statistics suggests that image patches can be well-...

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: a randomised phase 3 non-inferiority trial

Climate Change 2021 – The Physical Science Basis

The Working Group I contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the physical scien...

Coordinate Attention for Efficient Mobile Network Design

Recent studies on mobile network design have demonstrated the remarkable effectiveness of channel attention (e.g., the Squeeze-and-Excitation attention) for lifting model perfor...

Frequent deletions and down-regulation of micro- RNA genes <i>miR15</i> and <i>miR16</i> at 13q14 in chronic lymphocytic leukemia

Micro-RNAs ( miR genes) are a large family of highly conserved noncoding genes thought to be involved in temporal and tissue-specific gene regulation. MiRs are transcribed as sh...