Bo Han

Part-dependent Label Noise: Towards Instance-dependent Label Noise

Masashi Sugiyama, Gang Niu, Xiaobo Xia, 2020, NeurIPS.

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

Xiaobo Xia, Yibing Zhan, Tongliang Liu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Mitigating Label Noise on Graph via Topological Sample Selection

Xiaobo Xia, Jiangchao Yao, Tongliang Liu, 2024, ArXiv.

Few-Shot Adversarial Prompt Learning on Vision-Language Models

Xiaobo Xia, Tongliang Liu, Bo Han, 2024, 2403.14774.

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation

Masashi Sugiyama, Gang Niu, Jiangchao Yao, 2023, NeurIPS.

Holistic Label Correction for Noisy Multi-Label Classification

Xiaobo Xia, Tongliang Liu, Bo Han, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Tackling Noisy Labels With Network Parameter Additive Decomposition

Xiaobo Xia, Tongliang Liu, Bo Han, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence.