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Chengwu Yang

2 accepted papers

2025

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?

ICLR 2025poster

Existing benchmarks like NLGraph and GraphQA evaluate LLMs on graphs by focusing mainly on pairwise relationships, overlooking the high-order correlations found in real-world data. Hypergraphs, which can model complex beyond-pairwise relationships, offer a more robust framework but are still underex…

2024

PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration

ECCV 2024poster

"Learning rotation-invariant distinctive features is a fundamental requirement for point cloud registration. Existing methods often use rotation-sensitive networks to extract features, while employing rotation augmentation to learn an approximate invariant mapping rudely. This makes networks fragile…