3 papers
cs.LG2025
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
Zengyi Wo, Chang Liu, Yumeng Wang +2
Graph Neural Networks (GNNs) have been successful in modeling graph-structured data. However, similar to other machine learning models, GNNs can exhibit bias in predictions based o…
cs.CV2024
MOoSE: Multi-Orientation Sharing Experts for Open-set Scene Text Recognition
Chang Liu, Simon Corbillé, Elisa H Barney Smith
Open-set text recognition, which aims to address both novel characters and previously seen ones, is one of the rising subtopics in the text recognition field. However, the current…
math.OC2024
Explicit design optimization of air rudders for maximizing stiffness and fundamental frequency
Yibo Jia, Wen Meng, Zongliang Du +6
In aerospace engineering, there is a growing demand for lightweight design through topology optimization. This paper presents a novel design optimization method for stiffened air r…