Ding, Hu

27 publications

NeurIPS 2025 Adaptive and Multi-Scale Affinity Alignment for Hierarchical Contrastive Learning Jiawei Huang, Minming Li, Hu Ding

ICLR 2025 An Effective Manifold-Based Optimization Method for Distributionally Robust Classification Jiawei Huang, Hu Ding

NeurIPS 2025 Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport Jiawei Huang, Minming Li, Hu Ding

CVPR 2025 Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-Distribution Detection Qi Chen, Hu Ding

ICLR 2025 Exploring the Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness Xianglu Wang, Hu Ding

ICML 2025 Finding Wasserstein Ball Center: Efficient Algorithm and the Applications in Fairness Yuntao Wang, Yuxuan Li, Qingyuan Yang, Hu Ding

ICLR 2025 Relax and Merge: A Simple yet Effective Framework for Solving Fair $k$-Means and $k$-Sparse Wasserstein Barycenter Problems Shihong Song, Guanlin Mo, Hu Ding

ICLR 2025 To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation Wanlin Zhang, Weichen Lin, Ruomin Huang, Shihong Song, Hu Ding

AAAI 2024 A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem Xiaoyang Xu, Hu Ding

ICML 2024 An Effective Dynamic Gradient Calibration Method for Continual Learning Weichen Lin, Jiaxiang Chen, Ruomin Huang, Hu Ding

IJCAI 2024 Approximate Algorithms for K-Sparse Wasserstein Barycenter with Outliers Qingyuan Yang, Hu Ding

NeurIPS 2022 Coresets for Relational Data and the Applications Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding

NeurIPS 2022 Coresets for Wasserstein Distributionally Robust Optimization Problems Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding

UAI 2022 Sublinear Time Algorithms for Greedy Selection in High Dimensions Qi Chen, Kai Liu, Ruilong Yao, Hu Ding

ICML 2021 A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos Freris, Hu Ding

UAI 2021 Defending SVMs Against Poisoning Attacks: The Hardness and DBSCAN Approach Hu Ding, Fan Yang, Jiawei Huang

NeurIPS 2021 Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems Zixiu Wang, Yiwen Guo, Hu Ding

NeurIPS 2021 Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter Ruizhe Qin, Mengying Li, Hu Ding

ICML 2020 Layered Sampling for Robust Optimization Problems Hu Ding, Zixiu Wang

IJCAI 2020 On Metric DBSCAN with Low Doubling Dimension Hu Ding, Fan Yang, Mingyue Wang

AAAI 2019 On Geometric Alignment in Low Doubling Dimension Hu Ding, Mingquan Ye

AAAI 2017 Novel Geometric Approach for Global Alignment of PPI Networks Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu

ICML 2016 K-Means Clustering with Distributed Dimensions Hu Ding, Yu Liu, Lingxiao Huang, Jian Li

AAAI 2015 Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers Hu Ding, Jinhui Xu

AAAI 2014 Finding Median Point-Set Using Earth Mover's Distance Hu Ding, Jinhui Xu

CVPR 2013 Gauging Association Patterns of Chromosome Territories via Chromatic Median Hu Ding, Branislav Stojkovic, Ronald Berezney, Jinhui Xu

NeurIPS 2013 K-Prototype Learning for 3D Rigid Structures Hu Ding, Ronald Berezney, Jinhui Xu