We stand with Ukraine

We stand with Ukraine

Hu Ding

Orcid: 0000-0002-1307-6077

Affiliations:

University of Science and Technology of China, Hefei, China
Michigan State University, MI, USA (2016 - 2018)
Tsinghua University, Beijing, China (2015 - 2016)
State University of New York at Buffalo, NY, USA (PhD 2015)

According to our database¹, Hu Ding authored at least 83 papers between 2011 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2026

Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions.

[DOI]

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities.

[DOI]

,

,

CoRR, February, 2025

Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport.

[DOI]

,

,

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning.

[DOI]

,

,

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[DOI]

,

,

,

Proceedings of the Forty-second International Conference on Machine Learning, 2025

To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation.

[DOI]

,

,

,

,

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness.

[DOI]

,

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.

[DOI]

,

,

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

An Effective Manifold-based Optimization Method for Distributionally Robust Classification.

[DOI]

,

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Multi-Objective Routing: A Novel Coreset-based Transfer Learning Framework.

[DOI]

,

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Achieving Simultaneous Buffering and Steiner Tree Synthesis via Harmonic Based Reinforcement Learning.

[DOI]

,

,

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

To Tackle Cost-Skew Tradeoff: An Adaptive Learning Approach for Hub Node Selection.

[DOI]

,

,

,

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

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

[DOI]

,

,

Proc. ACM Manag. Data, 2024

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

[DOI]

,

,

,

CoRR, 2024

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

[DOI]

,

CoRR, 2024

A Novel Confidence Guided Training Method for Conditional GANs with Auxiliary Classifier.

[DOI]

,

,

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers.

[DOI]

,

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

An Effective Dynamic Gradient Calibration Method for Continual Learning.

[DOI]

,

,

,

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OTPlace-Vias: A Novel Optimal Transport Based Method for High Density Vias Placement in 3D Circuits.

[DOI]

,

,

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Bi-criteria Sublinear Time Algorithms for Clustering with Outliers in High Dimensions.

[DOI]

,

,

Proceedings of the Computing and Combinatorics - 30th International Conference, 2024

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem.

[DOI]

,

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Data-dependent Approach for High-dimensional (Robust) Wasserstein Alignment.

[DOI]

,

,

ACM J. Exp. Algorithmics, December, 2023

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

[DOI]

CoRR, 2023

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

[DOI]

,

,

,

,

CoRR, 2023

Solving Low-Dose CT Reconstruction via GAN with Local Coherence.

[DOI]

,

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Timing-Driven Routing: An Efficient Learning Based Geometric Approach.

[DOI]

,

,

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

Random Projection and Recovery for High Dimensional Optimization with Arbitrary Outliers.

[DOI]

,

,

,

Int. J. Comput. Geom. Appl., 2022

Sublinear time algorithms for greedy selection in high dimensions.

[DOI]

,

,

,

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Coresets for Wasserstein Distributionally Robust Optimization Problems.

[DOI]

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coresets for Relational Data and The Applications.

[DOI]

,

,

,

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.

[DOI]

Shuangshuang Xue

,

,

,

,

Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

2021

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

[DOI]

,

,

CoRR, 2021

Is Simple Uniform Sampling Efficient for Center-Based Clustering With Outliers: When and Why?

[DOI]

,

CoRR, 2021

Defending SVMs against poisoning attacks: the hardness and DBSCAN approach.

[DOI]

,

,

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions.

[DOI]

,

,

,

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

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

[DOI]

,

,

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.

[DOI]

,

,

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Novel Sequential Coreset Method for Gradient Descent Algorithms.

[DOI]

,

,

,

Nikolaos M. Freris

,

Proceedings of the 38th International Conference on Machine Learning, 2021

Stability Yields Sublinear Time Algorithms for Geometric Optimization in Machine Learning.

[DOI]

Proceedings of the 29th Annual European Symposium on Algorithms, 2021

2020

Faster balanced clusterings in high dimension.

[DOI]

Theor. Comput. Sci., 2020

Learning the truth vector in high dimensions.

[DOI]

,

J. Comput. Syst. Sci., 2020

Defending Support Vector Machines against Poisoning Attacks: the Hardness and Algorithm.

[DOI]

,

,

CoRR, 2020

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

[DOI]

,

,

,

CoRR, 2020

On Metric DBSCAN with Low Doubling Dimension.

[DOI]

,

CoRR, 2020

The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization with Outliers.

[DOI]

,

,

CoRR, 2020

On Metric DBSCAN with Low Doubling Dimension.

[DOI]

,

,

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Layered Sampling for Robust Optimization Problems.

[DOI]

,

Proceedings of the 37th International Conference on Machine Learning, 2020

A Sub-Linear Time Framework for Geometric Optimization with Outliers in High Dimensions.

[DOI]

Proceedings of the 28th Annual European Symposium on Algorithms, 2020

2019

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

[DOI]

,

CoRR, 2019

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

[DOI]

CoRR, 2019

Greedy Strategy Works for Clustering with Outliers and Coresets Construction.

[DOI]

CoRR, 2019

Simulation Analysis of Vehicle Trajectory Tracking Based on Model Predictive Control.

[DOI]

,

,

,

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Greedy Strategy Works for k-Center Clustering with Outliers and Coreset Construction.

[DOI]

,

,

Proceedings of the 27th Annual European Symposium on Algorithms, 2019

On Geometric Alignment in Low Doubling Dimension.

[DOI]

,

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

[DOI]

,

CoRR, 2018

On Geometric Prototype and Applications.

[DOI]

,

Proceedings of the 26th Annual European Symposium on Algorithms, 2018

2017

FPTAS for Minimizing the Earth Mover's Distance Under Rigid Transformations and Related Problems.

[DOI]

,

Algorithmica, 2017

Faster Algorithm for Truth Discovery via Range Cover.

[DOI]

,

,

Proceedings of the Algorithms and Data Structures - 15th International Symposium, 2017

Capacitated Center Problems with Two-Sided Bounds and Outliers.

[DOI]

,

,

,

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.

[DOI]

,

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

Novel Geometric Approach for Global Alignment of PPI Networks.

[DOI]

,

,

,

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Chromatic kernel and its applications.

[DOI]

,

Branislav Stojkovic

,

,

,

,

Andrew J. Fritz

,

,

Ronald Berezney

,

J. Comb. Optim., 2016

Towards distributed ensemble clustering for networked sensing systems: a novel geometric approach.

[DOI]

,

,

Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016

Distributed and Robust Support Vector Machine.

[DOI]

,

,

,

Proceedings of the 27th International Symposium on Algorithms and Computation, 2016

Finding rigid sub-structure patterns from 3D point-sets.

[DOI]

,

,

,

,

,

,

Andrew J. Fritz

,

Ronald Berezney

,

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

K-Means Clustering with Distributed Dimensions.

[DOI]

,

,

,

Proceedings of the 33nd International Conference on Machine Learning, 2016

Finding Global Optimum for Truth Discovery: Entropy Based Geometric Variance.

[DOI]

,

,

Proceedings of the 32nd International Symposium on Computational Geometry, 2016

2015

A Unified Framework for Clustering Constrained Data without Locality Property.

[DOI]

,

Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Truth Discovery on Crowd Sensing of Correlated Entities.

[DOI]

,

,

,

,

,

,

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Mining k-median chromosome association graphs from a population of heterogeneous cells.

[DOI]

,

,

,

,

Andrew J. Fritz

,

,

Ronald Berezney

,

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers.

[DOI]

,

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Cell Type Specific Alterations in Interchromosomal Networks across the Cell Cycle.

[DOI]

Andrew J. Fritz

,

Branislav Stojkovic

,

,

,

Sambit Bhattacharya

,

Ronald Berezney

PLoS Comput. Biol., 2014

Sub-linear Time Hybrid Approximations for Least Trimmed Squares Estimator and Related Problems.

[DOI]

,

Proceedings of the 30th Annual Symposium on Computational Geometry, 2014

Finding Median Point-Set Using Earth Mover's Distance.

[DOI]

,

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

k-Prototype Learning for 3D Rigid Structures.

[DOI]

,

Ronald Berezney

,

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

FPTAS for Minimizing Earth Mover's Distance under Rigid Transformations.

[DOI]

,

Proceedings of the Algorithms - ESA 2013, 2013

Gauging Association Patterns of Chromosome Territories via Chromatic Median.

[DOI]

,

Branislav Stojkovic

,

Ronald Berezney

,

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Robust Projective Clustering Under $L_{2}$ Norm

[DOI]

,

CoRR, 2012

Chromatic $k$-Mean Clustering in High Dimensional Space

[DOI]

,

CoRR, 2012

Efficient searching of globally optimal and smooth multisurfaces with shape priors.

[DOI]

,

Branislav Stojkovic

,

,

,

,

,

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness.

[DOI]

,

Branislav Stojkovic

,

,

,

,

,

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Solving the Chromatic Cone Clustering Problem via Minimum Spanning Sphere.

[DOI]

,

Proceedings of the Automata, Languages and Programming - 38th International Colloquium, 2011

Loading...