In the age of rapid internet expansion, social media platforms like Twitter have become
crucial for sharing information, expressing emotions, and revealing intentions during crisis …

Graph-based multi-view clustering aims to take advantage of multiple view graph
information to provide clustering solutions. The consistency constraint of multiple views is …

Abstract Text, 2D, and 3D information are crucial information representations in modern
science and management disciplines. However, complex and irregular 3D data produce …

Artificial intelligence (AI) has made significant strides in automating defect detection for
industrial products. However, its real-time application in manufacturing, especially with …

Network intrusion detection plays a crucial role in ensuring network security by
distinguishing malicious attacks from normal network traffic. However, imbalanced data …

Abstract Few-Shot Event Classification (FSEC) aims at assigning event labels to unlabeled
sentences when limited annotated samples are available. Existing works mainly focus on …

Process mining is an interdisciplinary field that combines Artificial Intelligence and Business
Process Management to extract insights from historical event data. Knowledge-intensive …

We focus on domain adaptation, a branch of transfer learning that concentrates on
transferring knowledge from one domain to another when the data distributions differ …

Zero-shot object classification aims to recognize the object of unseen classes whose
supervised data are unavailable in the training stage. Recent zero-shot learning (ZSL) …

Contrastive learning as an effective representation learning technique has attracted
tremendous attention due to its general success in downstream tasks. However, the …