Multi-task learning (MTL) has shown great potential in medical image
ana...
This paper describes the TSUP team's submission to the ISCSLP 2022
conve...
Autonomous driving systems (ADSs) must be tested thoroughly before they ...
Fall detection and classification become an imper- ative problem for
hea...
Self-supervised learning (SSL) achieves great success in monaural speech...
The goal of the group testing problem is to identify a set of defective ...
The layout optimization of the heat conduction is essential during desig...
In self-supervised learning, it is challenging to reduce the gap between...
Recently, self-supervised learning (SSL) techniques have been introduced...
The state-of-the-art speech enhancement has limited performance in speec...
As a category of transfer learning, domain adaptation plays an important...
Deep neural networks (DNN) have achieved great success in the recommende...
Infrared small target detection plays an important role in many infrared...
Click-through rate (CTR) prediction plays a critical role in recommender...
Deep learning has brought great progress for the sequential recommendati...
Optical coherence tomography (OCT) is a commonly-used method of extracti...
Sequential recommender systems (SRS) have become the key technology in
c...
With the growing interest in the deployment of massive
multiple-input-mu...