Ming-Kun Xie

Venues

Frequent coauthors

Papers

1. Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
   CVPR 2025 ·

   Lei-Lei Ma

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2. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
   IJCAI 2025 ·

   Zhiqiang Kou

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3. Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
   ICML 2025 ·

   Qin-Wen Luo

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4. RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
   NeurIPS 2025 ·

   Zhiqiang Kou

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5. Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
   NeurIPS 2025 ·

   Pei Peng

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6. Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning
   SIGKDD 2024 ·

   Hao-Zhe Liu

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7. Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
   ICML 2024 · Ming-Kun Xie
8. Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
   AAAI 2024 ·

   Chen-Chen Zong

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9. Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning
   ECCV 2024 ·

   Jiahao Xiao

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10. Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
    NeurIPS 2024 ·

    Qin-Wen Luo

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11. Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
    AAAI 2024 ·

    Wenhai Wan

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