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Hong Jin

2 accepted papers

2024

Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data

AAAI 2024technical

Artificial Intelligence (AI) models have become an integral part of modern society, significantly improving human lives. However, ensuring the reliability and safety of these models is of paramount importance. One critical aspect is the continuous monitoring and verification of model performance to…

2022

Heterogeneous Graph Node Classification With Multi-Hops Relation Features

ICASSP 2022accepted

In recent years, knowledge graph (KG) has obtained many achievements in both research and industrial fields. However, most KG algorithms consider node embedding with only structure and node features, but not relation features. In this paper, we propose a novel Heterogeneous Attention (HAT) algorithm…

Cited by 0SourceScholar