Extractive text summarization aims at extracting the most representative sentences from a
given document as its summary. To extract a good summary from a long text document …

Due to the shortage of COVID-19 viral testing kits, radiology imaging is used to complement
the screening process. Deep learning based methods are promising in automatically …

The cross-lingual sentiment analysis (CLSA) aims to leverage label-rich resources in the
source language to improve the models of a resource-scarce domain in the target language …

Abstract Domain adaptation aims to apply knowledge obtained from a labeled source
domain to an unseen target domain from a different distribution. Recently, domain …

Adversarial training is a useful approach to promote the learning of transferable
representations across the source and target domains, which has been widely applied for …

Existing cross-collection topic models with document-topic representation encounter
performance bottlenecks in large-scale datasets due to their reliance on Dirichlet priors and …

In a distributed system, cross‐domain access control is an important mechanism to realize
secure data sharing among multiple domains. Most of the existing cross‐domain access …

In the era of big data and Artificial Intelligence, an emerging paradigm is to utilize contrastive
self-supervised learning to model large-scale heterogeneous data. Many existing foundation …

The Dark Web is an internet domain that ensures user anonymity and has increasingly
become a focal point for illegal activities and a repository for information on cyberattacks …

The vast amount of data is key challenge to mine a new scholar that is plausible to be star in
the upcoming period. The enormous amount of unstructured data raise every year is …