Hu Ding

9

Papers

1

Total Citations

Papers (9)

Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection

Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems

Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness

An Effective Dynamic Gradient Calibration Method for Continual Learning

Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter

Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems

Coresets for Relational Data and The Applications

Coresets for Wasserstein Distributionally Robust Optimization Problems

K-Means Clustering with Distributed Dimensions