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Yuanhang Zou

2 accepted papers

2023

SlotGAT: Slot-based Message Passing for Heterogeneous Graphs

ICML 2023poster

Heterogeneous graphs are ubiquitous to model complex data. There are urgent needs on powerful heterogeneous graph neural networks to effectively support important applications. We identify a potential semantic mixing issue in existing message passing processes, where the representations of the neigh…

2015

A factorization network based method for multi-lingual domain classification

ICASSP 2015accepted

In many spoken language understanding systems (SLUS), domain classification is the most crucial component, as system responses based on wrong domains often yield very unpleasant user experiences. In multi-lingual domain classification, the training data for some poor-resource languages often comes f…

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