PPaperPicks

Ming-Kun Xie

11 papers at tracked venues · 9 at CORE A* · active 2024–2025

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Venues

NeurIPS ×3AAAI ×2ICML ×2CVPR ×1ECCV ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Sheng-Jun Huang
×8
Masashi Sugiyama
×3
Ye-Wen Wang
×3
Zhiqiang Kou
×2
Hailin Wang
×2
Jing Wang
×2
Shuo Chen
×2
Yuheng Jia
×2
Tongliang Liu
×2
Xin Geng
×2
Qin-Wen Luo
×2
Pei Peng
×2

Papers

  1. Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
    CVPR 2025 ·
    Lei-Lei Ma
    ,
    Shuo Xu
    , Ming-Kun Xie,
    Lei Wang
    ,
    Dengdi Sun
    ,
    Haifeng Zhao
  2. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
    IJCAI 2025 ·
    Zhiqiang Kou
    ,
    Si Qin
    ,
    Hailin Wang
    ,
    Jing Wang
    , Ming-Kun Xie,
    Shuo Chen
    ,
    Yuheng Jia
    ,
    Tongliang Liu
    ,
    Masashi Sugiyama
    ,
    Xin Geng
  3. Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
    ICML 2025 ·
    Qin-Wen Luo
    , Ming-Kun Xie,
    Ye-Wen Wang
    ,
    Sheng-Jun Huang
  4. RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
    NeurIPS 2025 ·
    Zhiqiang Kou
    ,
    Yucheng Xie
    ,
    Hailin Wang
    ,
    Junyang Chen
    ,
    Jing Wang
    , Ming-Kun Xie,
    Shuo Chen
    ,
    Yuheng Jia
    ,
    Tongliang Liu
    ,
    Xin Geng
  5. Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
    NeurIPS 2025 ·
    Pei Peng
    , Ming-Kun Xie,
    Hang Hao
    ,
    Tong Jin
    ,
    Sheng-Jun Huang
  6. Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning
    SIGKDD 2024 ·
    Hao-Zhe Liu
    , Ming-Kun Xie,
    Chen-Chen Zong
    ,
    Sheng-Jun Huang
  7. Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
    ICML 2024 · Ming-Kun Xie,
    Jiahao Xiao
    ,
    Pei Peng
    ,
    Gang Niu
    ,
    Masashi Sugiyama
    ,
    Sheng-Jun Huang
  8. Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
    AAAI 2024 ·
    Chen-Chen Zong
    ,
    Ye-Wen Wang
    , Ming-Kun Xie,
    Sheng-Jun Huang
  9. Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning
    ECCV 2024 ·
    Jiahao Xiao
    , Ming-Kun Xie,
    Heng-Bo Fan
    ,
    Gang Niu
    ,
    Masashi Sugiyama
    ,
    Sheng-Jun Huang
  10. Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
    NeurIPS 2024 ·
    Qin-Wen Luo
    , Ming-Kun Xie,
    Ye-Wen Wang
    ,
    Sheng-Jun Huang
  11. Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
    AAAI 2024 ·
    Wenhai Wan
    ,
    Xinrui Wang
    , Ming-Kun Xie,
    Shao-Yuan Li
    ,
    Sheng-Jun Huang
    ,
    Songcan Chen