Domain adaptive semantic segmentation enables robust pixel-wise understa...
We aim to secure a large-scale device-to-device (D2D) network against
ad...
Face super-resolution is a domain-specific image super-resolution, which...
We exploit both covert communication and friendly jamming to propose a
f...
It is challenging to annotate large-scale datasets for supervised video
...
Auto-Encoder (AE)-based deep subspace clustering (DSC) methods have achi...
The performance of wireless networks is fundamentally limited by the
agg...
Joint radar and communication (JRC) has recently attracted substantial
a...
Deep auto-encoders (DAEs) have achieved great success in learning data
r...
We compute the expected number of cars that have at least one two-hop pa...
Backscattering assisted wireless-powered communication combines
ultralow...
This paper presents a comprehensive literature review on applications an...
Industrial control systems are critical to the operation of industrial
f...
Leveraging on the underlying low-dimensional structure of data, low-rank...
The probability density function (pdf) of the received signal of an ambi...
Recently, due to the staggering growth of wireless data traffic,
heterog...
With growing security threats to the evolving wireless systems, protecti...
This letter studies uplink transmission in large-scale cellular networks...
Short-term load forecasting is a critical element of power systems energ...
Short-term load forecasting (STLF) is essential for the reliable and eco...
Traditional load analysis is facing challenges with the new electricity ...
Multiple kernel learning (MKL) method is generally believed to perform b...
Recently, ambient backscatter communications has been introduced as a
cu...
The recent advanced wireless energy harvesting technology has enabled
wi...