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Zhixia He

2 accepted papers

2026

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models

AAAI 2026technical

Out-of-distribution (OOD) detection is committed to delineating the classification boundaries between in-distribution (ID) and OOD images. Recent advances in vision-language models (VLMs) have demonstrated remarkable OOD detection performance by integrating both visual and textual modalities. In thi

Cited by 0SourcePDFScholar
2025

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models

ICASSP 2025accepted

Out-of-distribution (OOD) detection poses a signifi-cant challenge for Graph Neural Networks (GNNs), particularly in open-world scenarios with varying distribution shifts. Most existing OOD detection methods on graphs primarily focus on identifying instances in test data domains caused by either sem…

Cited by 0SourceScholar