Yang Chu — accepted AI-conference papers

2026

HierUQ: Hierarchical Uncertainty Quantification with Adaptive Granularity Reconciliation for Degraded Image Classification

Yang Chu, Xiaomeng Yang, Keli Deng, Yuntao Qian

CVPR 2026

Hierarchical classification (HC) on degraded images presents challenges due to feature corruption, unreliable confidence estimation, and fine-grained misclassification. Existing methods often struggle to balance semantic consistency and adaptive decision paths under low-quality visual conditions. To

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2025

Label Relationship Graph-Enhanced Class Hierarchy for Incremental Classification of Remote Sensing Images

Yang Chu, Yuntao Qian

ICASSP 2025accepted

Incremental learning is a strategy that continuously incorporates new data to tackle emerging tasks without the need for retraining the model. While effective, it encounters the challenge of catastrophic forgetting. Hierarchical Classification (HC) enhances classification accuracy and efficiency by…

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