publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

  1. Ambiguity-Aware Abductive Learning
    Hao-Yuan HeHui SunZheng Xie, and Ming Li
    In Proceedings of The 41st International Conference on Machine Learning. Vienna, Austria, 2024
  2. Probabilistic Instance Dependent Label Refinement for Noisy Label Learning
    Hao-Yuan HeYu LiuRen-Biao LiuZheng Xie, and Ming Li
    Machine Learning, Forthcoming
  3. Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
    Hao-Yuan HeWang-Zhou Dai, and Ming Li
    Machine Learning, 2024
  4. Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
    Zheng XieYu LiuHao-Yuan HeMing Li, and Zhi-Hua Zhou
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
  5. A Learnability Analysis on Neuro-Symbolic Learning
    Hao-Yuan He, and Ming Li
    Manuscript, 2025
    Under review