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Qilin Wu

2 accepted papers

2025

A Multi-modal Hand Imitation Dataset for Dexterous Hand

IROS 2025

Multimodal data is indispensable for advancing imitation learning, particularly in the context of dexterous hands. However, existing datasets predominantly rely on single-modality inputs, such as RGB images, which inherently lack the capacity to capture the spatial and temporal dynamics essential fo

Cited by 0SourcecodeScholar
2023

SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations

NeurIPS 2023poster

Post-hoc explanation techniques on graph neural networks (GNNs) provide economical solutions for opening the black-box graph models without model retraining. Many GNN explanation variants have achieved state-of-the-art explaining results on a diverse set of benchmarks, while they rarely provide theo…