3 accepted papers
Graph anomaly detection is crucial for identifying anomalous nodes within graphs and addressing applications like financial fraud detection and social spam detection. Recent spectral graph neural network methods advance graph anomaly detection by focusing on anomalies that notably affect the distrib…
Open-ended referring expression comprehension focuses on locating the text query within an image via scene knowledge, requiring complex reasoning across the triplet of the image, scene knowledge, and the text query. However, most existing methods struggle to integrate scene knowledge while performin…
Cross-speed bearing fault diagnosis based on unsupervised domain adaptation can handle data distribution differences across various operating speeds, supporting intelligent maintenance of equipment like wind turbines with variable operating speeds. Existing methods focus on aligning sample distribut…