5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
Xu Chu, Hanlin Xue, Bingce Wang +5
Dynamic graph augmentation is used to improve the performance of dynamic GNNs. Most methods assume temporal locality, meaning that recent edges are more influential than earlier ed…
cs.LG2012★ 5 cited
Total Variation and Euler's Elastica for Supervised Learning
Tong Lin, Hanlin Xue, Ling Wang +1
In recent years, total variation (TV) and Euler's elastica (EE) have been successfully applied to image processing tasks such as denoising and inpainting. This paper investigates h…