Hu Ding

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

To Tackle Cost-Skew Tradeoff: An Adaptive Learning Approach for Hub Node Selection.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
A study of a nonlinear vibration isolator supported on an imperfect boundary plate.
Commun. Nonlinear Sci. Numer. Simul., January, 2024

Relax and Merge: A Simple Yet Effective Framework for Solving Fair <i>k</i>-Means and <i>k</i>-sparse Wasserstein Barycenter Problems.
CoRR, 2024

Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms.
CoRR, 2024

Approximate Algorithms For <i>k</i>-Sparse Wasserstein Barycenter With Outliers.
CoRR, 2024

Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

An Effective Dynamic Gradient Calibration Method for Continual Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Nonlinear dynamical and harvesting characteristics of bistable energy harvester under hybrid base vibration and galloping.
Commun. Nonlinear Sci. Numer. Simul., October, 2023

Sublinear Time Algorithms for Several Geometric Optimization (With Outliers) Problems In Machine Learning.
CoRR, 2023

Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers.
CoRR, 2023

Bursting oscillations induced by multiple coexisting attractors in a modified 3D van der Pol-Duffing system.
Commun. Nonlinear Sci. Numer. Simul., 2023

Learning General Representations for Semantic Segmentation and Height Estimation from Remote Sensing Images.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Towards Timing-Driven Routing: An Efficient Learning Based Geometric Approach.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Sublinear time algorithms for greedy selection in high dimensions.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Coresets for Relational Data and The Applications.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Competitive Posted-Pricing Mechanism for Trading Time-Sensitive Valued Data.
Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

2021
Robust Coreset for Continuous-and-Bounded Learning (with Outliers).
CoRR, 2021

A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stability Yields Sublinear Time Algorithms for Geometric Optimization in Machine Learning.
Proceedings of the 29th Annual European Symposium on Algorithms, 2021

2020
Faster balanced clusterings in high dimension.
Theor. Comput. Sci., 2020

Gradient Episodic Memory with a Soft Constraint for Continual Learning.
CoRR, 2020

A Sub-linear Time Framework for Geometric Optimization with Outliers in High Dimensions.
CoRR, 2020

A Data Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimension.
CoRR, 2020

On Metric DBSCAN with Low Doubling Dimension.
CoRR, 2020

Parallel Computing and Optimization of Lattice Boltzmann Method Based on SW26010 Processor.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

On Metric DBSCAN with Low Doubling Dimension.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Layered Sampling for Robust Optimization Problems.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A Practical Framework for Solving Center-Based Clustering with Outliers.
CoRR, 2019

Minimum Enclosing Ball Revisited: Stability and Sub-linear Time Algorithms.
CoRR, 2019

Simulation Analysis of Vehicle Trajectory Tracking Based on Model Predictive Control.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Greedy Strategy Works for k-Center Clustering with Outliers and Coreset Construction.
Proceedings of the 27th Annual European Symposium on Algorithms, 2019

On Geometric Alignment in Low Doubling Dimension.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Solving Minimum Enclosing Ball with Outliers: Algorithm, Implementation, and Application.
CoRR, 2018

On Geometric Prototype and Applications.
Proceedings of the 26th Annual European Symposium on Algorithms, 2018

2017
Capacitated Center Problems with Two-Sided Bounds and Outliers.
Proceedings of the Algorithms and Data Structures - 15th International Symposium, 2017

Protein Mover's Distance: A Geometric Framework for Solving Global Alignment of PPI Networks.
Proceedings of the Combinatorial Optimization and Applications, 2017

Balanced k-Center Clustering When k Is A Constant.
Proceedings of the 29th Canadian Conference on Computational Geometry, 2017

2016
K-Means Clustering with Distributed Dimensions.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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