Author

Wei-Bo Liu

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Conference Aug 2026

Robust Noisy-Label Learning: A Novel Class-Specific Autoencoder-Guided Sample Selection Framework

Deep learning has been extensively applied to sample selection. However, the performance of deep learning-based sample selection methods can be substantially degraded when training data are contaminated by noisy labels, a common issue in practical industrial settings. To address this challenge, this paper proposes Clas...

Hao-Bin Cao, Zi-Dong Wang, Wei-Bo Liu et al. · International Conference on... · 0 citations

Open access Sep 2026

A novel approach to lossless convolutional neural network compression via progressive knowledge distillation-incorporated low-rank compression.

Model compression is widely used to deploy large neural networks on resource-constrained edge devices. Among existing techniques, low-rank composition is theoretically grounded in approximation theory and provides a strong basis for preserving model performance after compression. However, in practice, even state-of-the...

Ya-Ping He, Hao Wu, Wei-Bo Liu et al. · Neural Networks · 0 citations