Hu Ding

According to our database, Hu Ding authored at least 40 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Jiawei Huang, Hu Ding

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Guanlin Mo, Shihong Song, Hu Ding

Proc. ACM Manag. Data, 2024

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

Qi Chen, Wenjie Liu, Hu Ding

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

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

Lin Chen, Qi Xu, Hu Ding

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

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

Jiawei Huang, Wenjie Liu, Hu Ding

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

2023

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

Hu Ding, Wenjie Liu, Mingquan Ye

ACM J. Exp. Algorithmics, December, 2023

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

Wenjie Liu, Hu Ding

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

2022

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

Jiawei Huang, Ruizhe Qin, Fan Yang, Hu Ding

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

Coresets for Wasserstein Distributionally Robust Optimization Problems.

Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding

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

2021

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

Hu Ding, Jiawei Huang

CoRR, 2021

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

Hu Ding, Fan Yang, Jiawei Huang

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

A Novel Sequential Coreset Method for Gradient Descent Algorithms.

Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding

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

2020

Learning the truth vector in high dimensions.

Hu Ding, Jinhui Xu

J. Comput. Syst. Sci., 2020

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

Hu Ding, Fan Yang, Jiawei Huang

CoRR, 2020

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

Hu Ding, Ruizhe Qin, Jiawei Huang

CoRR, 2020

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

Hu Ding

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

2019

Greedy Strategy Works for Clustering with Outliers and Coresets Construction.

Hu Ding

CoRR, 2019

2017

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

Hu Ding, Jinhui Xu

Algorithmica, 2017

Faster Algorithm for Truth Discovery via Range Cover.

Ziyun Huang, Hu Ding, Jinhui Xu

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

Novel Geometric Approach for Global Alignment of PPI Networks.

Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu

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

2016

Chromatic kernel and its applications.

Hu Ding, Branislav Stojkovic, Zihe Chen, Andrew Hughes, Lei Xu, Andrew J. Fritz, Nitasha Sehgal, Ronald Berezney, Jinhui Xu

J. Comb. Optim., 2016

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

Hu Ding, Lu Su, Jinhui Xu

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

Distributed and Robust Support Vector Machine.

Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu

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

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

Zihe Chen, Danyang Chen, Hu Ding, Ziyun Huang, Zheshuo Li, Nitasha Sehgal, Andrew J. Fritz, Ronald Berezney, Jinhui Xu

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

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

Hu Ding, Jing Gao, Jinhui Xu

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

2015

A Unified Framework for Clustering Constrained Data without Locality Property.

Hu Ding, Jinhui Xu

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

Truth Discovery on Crowd Sensing of Correlated Entities.

Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng

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

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

Zihe Chen, Hu Ding, Danyang Chen, Xiangyu Wang, Andrew J. Fritz, Nitasha Sehgal, Ronald Berezney, Jinhui Xu

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

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

Hu Ding, Jinhui Xu

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

2014

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

Andrew J. Fritz, Branislav Stojkovic, Hu Ding, Jinhui Xu, Sambit Bhattacharya, Ronald Berezney

PLoS Comput. Biol., 2014

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

Hu Ding, Jinhui Xu

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

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

Hu Ding, Jinhui Xu

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

2013

k-Prototype Learning for 3D Rigid Structures.

Hu Ding, Ronald Berezney, Jinhui Xu

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.

Hu Ding, Jinhui Xu

Proceedings of the Algorithms - ESA 2013, 2013

Gauging Association Patterns of Chromosome Territories via Chromatic Median.

Hu Ding, Branislav Stojkovic, Ronald Berezney, Jinhui Xu

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

2012

Robust Projective Clustering Under $L_{2}$ Norm

Hu Ding, Jinhui Xu

CoRR, 2012

Chromatic $k$-Mean Clustering in High Dimensional Space

Hu Ding, Jinhui Xu

CoRR, 2012

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

Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

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

Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu

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

Solving the Chromatic Cone Clustering Problem via Minimum Spanning Sphere.

Hu Ding, Jinhui Xu

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