Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. - Chen-Chen Zong; Ye-Wen Wang; Ming-Kun Xie; Sheng-Jun Huang (AAAI, 2024)

Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation. - Chen-Chen Zong; Ye-Wen Wang; Kun-Peng Ning; Haibo Ye; Sheng-Jun Huang (ECCV (28), 2024)

Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation. - Ye-Wen Wang; Chen-Chen Zong; Ming-Kun Xie; Sheng-Jun Huang (ICME, 2024)

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL. - Qin-Wen Luo; Ming-Kun Xie; Ye-Wen Wang; Sheng-Jun Huang (NeurIPS, 2024)

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL. - Qin-Wen Luo; Ming-Kun Xie; Ye-Wen Wang; Sheng-Jun Huang (CoRR, 2025)