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Yiheng Lu

2 accepted papers

2025

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

AAAI 2025technical

Mixup is a data augmentation technique that enhances model generalization by interpolating between data points using a mixing ratio lambda in the image domain. Recently, the concept of mixup has been adapted to the graph domain through node-centric interpolations. However, these approaches often fai…

2024

Entropy Induced Pruning Framework for Convolutional Neural Networks

AAAI 2024technical

Structured pruning techniques have achieved great compression performance on convolutional neural networks for image classification tasks. However, the majority of existing methods are sensitive with respect to the model parameters, and their pruning results may be unsatisfactory when the original m…

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