Yi Qu — accepted AI-conference papers

2025

Evidential Deep Learning with Reweighted Margin Adjustment for Uncertainty-Driven Cervical OCT Image Diagnosis

Hanfeng Zhu, Yi Qu, Yutao Ma, Yuchen Pei

ICASSP 2025accepted

Cervical optical coherence tomography (OCT) is crucial in diagnosing cervical diseases due to its high-resolution imaging and non-invasive characteristics. However, recent improvements in classifying cervical OCT images have mainly focused on accuracy, often neglecting the importance of uncertainty…

Cited by 0 Source ↗Scholar ↗

2023

ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition

Yixuan Zhou, Yi Qu, Xing Xu, Hengtao Shen

ICCV 2023poster

Class imbalance is a common challenge in real-world recognition tasks, where the majority of classes have few samples, also known as tail classes. We address this challenge with the perspective of generalization and empirically find that the promising Sharpness-Aware Minimization (SAM) fails to addr…

Cited by 17 PDF ↗code ↗Scholar ↗