This paper presents the deep learning-based recent achievements to resol...
Despite the extensive applications of relation extraction (RE) tasks in
...
A fundamental challenge to providing edge-AI services is the need for a
...
We develop a novel deep learning method for uncertainty quantification i...
To support rapid and accurate autonomous driving services, road environm...
As deep neural networks achieve unprecedented performance in various tas...
We consider a scenario that utilizes road side units (RSUs) as distribut...
Motivated by the fact that the data rate of non-orthogonal multiple acce...
Although deep learning (DL) has already become a state-of-the-art techno...
This paper explores caching of fractions of a video content, not caching...
In a decade, the adaptive quality control of video streaming and the
sup...
This paper proposes a deep reinforcement learning-based video streaming
...
In wireless caching networks, a user generally has a concrete purpose of...
In wireless caching networks, the design of the content delivery method ...
This paper proposes a video delivery strategy for dynamic streaming serv...
For a massive number of devices, nonorthogonal multiple access (NOMA) ha...
For downlink multiple-user (MU) transmission based on non-orthogonal mul...
In this paper, we propose bi-directional cooperative non-orthogonal mult...
In this paper, we propose a joint dynamic power control and user pairing...
This paper considers one-hop device-to-device (D2D)-assisted wireless ca...