Fine-grained image recognition is a longstanding computer vision challen...
In recent years, vision transformers have been introduced into face
reco...
Early exiting has become a promising approach to improving the inference...
Long-term time series forecasting plays an important role in various
rea...
Understanding user perspectives on Artificial Intelligence (AI) in educa...
The emergence of the metaverse is being widely viewed as a revolutionary...
Previous contrastive learning methods for sentence representations often...
Cellular traffic prediction is an indispensable part for intelligent
tel...
In recent years, the gamification research community has widely and
freq...
Graphs are widely used to represent the relations among entities. When o...
Early exiting is an effective paradigm for improving the inference effic...
Spoken language understanding (SLU) treats automatic speech recognition ...
Topology impacts important network performance metrics, including link
u...
Light field disparity estimation is an essential task in computer vision...
The reliability of wireless base stations in China Mobile is of vital
im...
Mobile network traffic forecasting is one of the key functions in daily
...
One major impediment in rapidly deploying object detection models for
in...
A cooperative full duplex (FD) non-orthogonal multiple access (NOMA) sch...
In mobile network, a complaint hotspot problem often affects even thousa...
Machine reading comprehension have been intensively studied in recent ye...
Although semi-supervised variational autoencoder (SemiVAE) works in imag...