Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

As virtual avatars have become increasingly popular in recent years, current needs indicate
that “interactivity” is crucial for inducing a positive response from users towards these …

Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

Recently, ConvNeXts constructing from standard ConvNet modules has produced
competitive performance in various image applications. In this paper, an efficient model …

Briefing: To tackle the complexity of human and social factors in manufacturing systems,
parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart …

Domain adaptation (DA) aims to accomplish tasks on unlabeled target data by learning and
transferring knowledge from related source domains. In order to learn a discriminative and …

Under the background of the rapid change of energy technology and the deep integration of
artificial intelligence into the power system, it is of great significance to study the intelligent …

With the popularity of credit cards worldwide, timely and accurate fraud detection has
become critically important to ensure the safety of their user accounts. Existing models …

In cyber–physical–social systems, smart manufacturing has to overcome challenges, such
as uncertainty, diversity, complexity in modeling, long-delayed responses to market …

This paper studies the problem of StyleGAN inversion, which plays an essential role in
enabling the pretrained StyleGAN to be used for real image editing tasks. The goal of …