Contour based scene text detection methods have rapidly developed recent...
Edge artificial intelligence (AI) has been a promising solution towards ...
Vertical federated learning (FL) is a collaborative machine learning
fra...
Driven by the interplay among artificial intelligence, digital twin, and...
The use of massive survival data has become common in survival analysis....
Annotating multi-class instances is a crucial task in the field of machi...
In this paper, we study unmanned aerial vehicles (UAVs) assisted wireles...
The rapid advancement of artificial intelligence technologies has given ...
Complementary-label learning (CLL) is a common application in the scenar...
The safety-critical scenarios of artificial intelligence (AI), such as
a...
Arbitrary-shaped scene text detection is a challenging task due to the
v...
Reconfigurable intelligent surface (RIS) has emerged as a cost-effective...
Federated learning (FL) over resource-constrained wireless networks has
...
Mobile communication standards were developed for enhancing transmission...
Distributed statistical learning is a common strategy for handling massi...
Joint activity detection and channel estimation (JADCE) for grant-free r...
Federated learning (FL), as a disruptive machine learning paradigm, enab...
Federated learning (FL) is a promising learning paradigm that can tackle...
Federated learning (FL), as an emerging edge artificial intelligence
par...
In this paper, we aim at providing an effective Pairwise Learning Neural...
Massive access is a critical design challenge of Internet of Things (IoT...
In this paper, we consider decentralized federated learning (FL) over
wi...
Federated learning (FL) is recognized as a key enabling technology to pr...
Over-the-air computation (AirComp) is a disruptive technique for fast
wi...
In this paper, we consider fast wireless data aggregation via over-the-a...
Over-the-air computation (AirComp) provides a promising way to support
u...
Volatility asymmetry is a hot topic in high-frequency financial market. ...
With the rapid development of Internet of Things (IoT), massive machine-...
This paper considers a cooperative Internet of Things (IoT) system with ...
Over-the-air computation (AirComp) based federated learning (FL) is capa...
In this paper, we consider federated learning (FL) over a noisy fading
m...
Antenna selection is capable of reducing the hardware complexity of mass...
Over-the-air computation (AirComp) is a promising technology that is cap...
Intelligent reflecting surface (IRS) has the potential to significantly
...
In multiple-input multiple-output (MIMO) device-to-device (D2D) networks...
In this work, we present our solution to the vehicle re-identification
(...
The adoption of reconfigurable intelligent surface (RIS) in wireless net...
Given the fast growth of intelligent devices, it is expected that a larg...
Intelligent Internet-of-Things (IoT) will be transformative with the
adv...
In this paper, we consider the multicast transmission of a real-time Int...
We consider the multicast transmission of a real-time Internet of Things...
This paper considers a cooperative status update system with a source ai...
Reconfigurable intelligent surface (RIS) as an emerging cost-effective
t...
Reconfigurable intelligent surface (RIS) has recently been recognized as...
Low-frequency historical data, high-frequency historical data and option...
Intelligent reflecting surface (IRS) has recently been recognized a prom...
Object segmentation and object tracking are fundamental research area in...
Person identification in the wild is very challenging due to great varia...
In 2018, Pott, at al. have studied in [IEEE Transactions on Information
...
The total variation (TV) model and its related variants have already bee...