Federated learning (FL) is a novel distributed machine learning paradigm that enables
participants to collaboratively train a centralized model with privacy preservation by …

C-V2X (Cellular Vehicle-to-Everything) is a state-of-the-art wireless technology used in
autonomous driving and intelligent transportation systems (ITS). This technology has …

Online class-incremental learning (OCIL) studies the problem of mitigating the phenomenon
of catastrophic forgetting while learning new classes from a continuously non-stationary data …

Modern artificial intelligence systems require class-incremental learning while suffering from
catastrophic forgetting in many real-world applications. Due to the missing knowledge of …

Driven by practical needs, research on Class-Incremental Learning (CIL) has received more
and more attentions in recent years. A technical challenge to be conquered by CIL methods …

Artistic style transfer aims to transfer the style of an artwork to a photograph while
maintaining its original overall content. Many prior works focus on designing various transfer …

The key of talking face generation is to synthesize the identity-preserving natural facial
expressions with accurate audio-lip synchronization. To accomplish this, it requires to …

Knowledge Distillation transfers knowledge learned by a teacher network to a student
network. A common mode of knowledge transfer is directly using the teacher network's …

In practice, radar measurements are hindered by unavoidable noise, which lowers the
signal-to-noise ratio (SNR) and raises the problem of radar signal denoising. Thanks to the …

Although face recognition has made dramatic improvements in recent years, there are still
many challenges in real-world applications such as face recognition for the elderly and …