PPaperPicks

Hu Ding

13 papers at tracked venues · 12 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Shihong Song
×4
Guanlin Mo
×3
Jiawei Huang
×3
Minming Li
×2
Qingyuan Yang
×2
Weichen Lin
×2
Ruomin Huang
×2
Kangke Cheng
×1
Xianglu Wang
×1
Yuntao Wang
×1
Yuxuan Li
×1
Wanlin Zhang
×1

Papers

  1. Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions
    AAAI 2026 ·
    Kangke Cheng
    ,
    Shihong Song
    ,
    Guanlin Mo
    , Hu Ding
  2. Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
    NeurIPS 2025 ·
    Jiawei Huang
    ,
    Minming Li
    , Hu Ding
  3. An Effective Manifold-based Optimization Method for Distributionally Robust Classification
    ICLR 2025 ·
    Jiawei Huang
    , Hu Ding
  4. Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport
    NeurIPS 2025 ·
    Jiawei Huang
    ,
    Minming Li
    , Hu Ding
  5. Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
    ICLR 2025 ·
    Xianglu Wang
    , Hu Ding
  6. Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness
    ICML 2025 ·
    Yuntao Wang
    ,
    Yuxuan Li
    ,
    Qingyuan Yang
    , Hu Ding
  7. Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems
    ICLR 2025 ·
    Shihong Song
    ,
    Guanlin Mo
    , Hu Ding
  8. To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
    ICLR 2025 ·
    Wanlin Zhang
    ,
    Weichen Lin
    ,
    Ruomin Huang
    ,
    Shihong Song
    , Hu Ding
  9. A Novel Confidence Guided Training Method for Conditional GANs with Auxiliary Classifier
    ACM MM 2024 ·
    Qi Chen
    ,
    Wenjie Liu
    , Hu Ding
  10. A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem
    AAAI 2024 ·
    Xiaoyang Xu
    , Hu Ding
  11. An Effective Dynamic Gradient Calibration Method for Continual Learning
    ICML 2024 ·
    Weichen Lin
    ,
    Jiaxiang Chen
    ,
    Ruomin Huang
    , Hu Ding
  12. Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers
    IJCAI 2024 ·
    Qingyuan Yang
    , Hu Ding
  13. Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms
    SIGMOD 2024 ·
    Guanlin Mo
    ,
    Shihong Song
    , Hu Ding