Lung cancer, particularly in its advanced stages, remains a leading caus...
While there exists a large amount of literature on the general challenge...
In this paper, we propose a dictionary screening method for embedding
co...
Generative modeling has been the dominant approach for large-scale
pretr...
This paper investigates the sum-capacity of two-user optical intensity
m...
In this paper, a new multi-source wideband direction of arrival (MSW-DOA...
We consider performance enhancement of asymmetrically-clipped optical
or...
Product copywriting is a critical component of e-commerce recommendation...
This paper investigates the capacity of general multiple-input single-ou...
The few-shot natural language understanding (NLU) task has attracted muc...
Most previous methods for text data augmentation are limited to simple t...
Quantile regression is a field with steadily growing importance in
stati...
A major issue in Smoothed Particle Hydrodynamics (SPH) approaches is the...
Robust methods, though ubiquitous in practice, are yet to be fully under...
The freedom of fast iterations of distributed deep learning tasks is cru...
We investigate design and performance of communications over the bandlim...
In the generative model approach of machine learning, it is essential to...
Deep Learning has established itself to be a common occurrence in the
bu...
In this paper, we consider a class of nonconvex complex quadratic progra...
This paper provides new inner and outer bounds on the capacity region of...
We revisit Shannon's problem of bounding the capacity of bandlimited Gau...
Question answering is an important and difficult task in the natural lan...
Since the first online demonstration of Neural Machine Translation (NMT)...