We propose two novel model architectures for computing continuous vector representations
of words from very large data sets. The quality of these representations is measured in a …

We present MMDetection, an object detection toolbox that contains a rich set of object detection
and instance segmentation methods as well as related components and modules. The …

Recent work in unsupervised feature learning and deep learning has shown that being able
to train large models can dramatically improve performance. In this paper, we consider the …

Reactive oxygen species (ROS) function as intracellular signaling molecules in a diverse
range of biological processes. However, it is unclear how freely diffusible ROS dictate specific …

Compared with model architectures, the training process, which is also crucial to the success
of detectors, has received relatively less attention in object detection. In this work, we …

The recently introduced continuous Skip-gram model is an efficient method for learning high-quality
distributed vector representations that capture a large number of precise syntactic …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of
coronavirus disease 2019 (COVID-19), uses the viral spike (S) protein for host cell attachment …

N 6 -methyladenosine (m 6 A) is the most abundant internal modification in mammalian
mRNA. This modification is reversible and non-stoichiometric and adds another layer to the …

There has been much interest in quantum key distribution. Experimentally, quantum key
distribution over 150 km of commercial Telecom fibers has been successfully performed. The …

MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18–25 nucleotides)
that negatively control expression of target genes at the post-transcriptional level. Owing to …