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Hu Ding

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

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Venues

ICLR ×4AAAI ×2ICML ×2NeurIPS ×2ACM MM ×1IJCAI ×1SIGMOD ×1

Frequent coauthors

Jiawei Huang
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Kangke Cheng
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Xianglu Wang
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Yuntao Wang
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Shihong Song
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Wanlin Zhang
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Qi Chen
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Xiaoyang Xu
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Weichen Lin
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Qingyuan Yang
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Guanlin Mo
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Papers

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