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ORCIDHu Ding 0003
Person information
- affiliation: University of Science and Technology of China, Hefei, China
Other persons with the same name
- Hu Ding — disambiguation page
- Hu Ding 0001
![[0000-0003-4301-1108]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4301-1108")
— Shanghai University, Shanghai, China - Hu Ding 0002 — South China Normal University, Guangzhou, China
- Hu Ding 0004 — Tianjin University, Tianjin, China
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2020 – today
- 2025
[j11]Jiawei Huang, Wenjie Liu, Hu Ding:
Bi-criteria sublinear time algorithms for clustering with outliers in high dimensions. Theor. Comput. Sci. 1057: 115538 (2025)- [c27]Jiawei Huang, Hu Ding:
An Effective Manifold-based Optimization Method for Distributionally Robust Classification. ICLR 2025 - 2024
- [j10]Guanlin Mo, Shihong Song, Hu Ding:
Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms. Proc. ACM Manag. Data 2(3): 178 (2024) - [c26]Jiawei Huang, Wenjie Liu, Hu Ding:
Bi-criteria Sublinear Time Algorithms for Clustering with Outliers in High Dimensions. COCOON (1) 2024: 91-103 - [c25]Lin Chen, Qi Xu, Hu Ding:
OTPlace-Vias: A Novel Optimal Transport Based Method for High Density Vias Placement in 3D Circuits. DAC 2024: 130:1-130:6 - [c24]Qi Chen, Wenjie Liu, Hu Ding:
A Novel Confidence Guided Training Method for Conditional GANs with Auxiliary Classifier. ACM Multimedia 2024: 6706-6714 - 2023
- [j9]Hu Ding, Wenjie Liu, Mingquan Ye:
A Data-dependent Approach for High-dimensional (Robust) Wasserstein Alignment. ACM J. Exp. Algorithmics 28: 1.8:1-1.8:32 (2023) - [c23]Wenjie Liu, Hu Ding:
Solving Low-Dose CT Reconstruction via GAN with Local Coherence. MICCAI (10) 2023: 524-534 - 2022
- [j8]Jiawei Huang, Ruizhe Qin, Fan Yang, Hu Ding:
Random Projection and Recovery for High Dimensional Optimization with Arbitrary Outliers. Int. J. Comput. Geom. Appl. 32(3&4): 201-225 (2022) - [c22]Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding:
Coresets for Wasserstein Distributionally Robust Optimization Problems. NeurIPS 2022 - [i10]Hu Ding, Wenjie Liu, Mingquan Ye:
A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment. CoRR abs/2209.02905 (2022) - [i9]Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding:
Coresets for Wasserstein Distributionally Robust Optimization Problems. CoRR abs/2210.04260 (2022) - 2021
- [c21]Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding:
A Novel Sequential Coreset Method for Gradient Descent Algorithms. ICML 2021: 4412-4422 - [c20]Hu Ding, Fan Yang, Jiawei Huang:
Defending SVMs against poisoning attacks: the hardness and DBSCAN approach. UAI 2021: 268-278 - [i8]Hu Ding, Jiawei Huang:
Is Simple Uniform Sampling Efficient for Center-Based Clustering With Outliers: When and Why? CoRR abs/2103.00558 (2021) - [i7]Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding:
A Novel Sequential Coreset Method for Gradient Descent Algorithms. CoRR abs/2112.02504 (2021) - 2020
- [j7]Hu Ding, Jinhui Xu:
A Unified Framework for Clustering Constrained Data Without Locality Property. Algorithmica 82(4): 808-852 (2020) - [j6]Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu:
Distributed and Robust Support Vector Machine. Int. J. Comput. Geom. Appl. 30(3&4): 213-233 (2020) - [j5]Hu Ding, Jinhui Xu:
Learning the truth vector in high dimensions. J. Comput. Syst. Sci. 109: 78-94 (2020) - [c19]Hu Ding:
A Sub-Linear Time Framework for Geometric Optimization with Outliers in High Dimensions. ESA 2020: 38:1-38:21 - [i6]Hu Ding, Ruizhe Qin, Jiawei Huang:
The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization with Outliers. CoRR abs/2002.11923 (2020) - [i5]Hu Ding, Fan Yang, Jiawei Huang:
Defending Support Vector Machines against Poisoning Attacks: the Hardness and Algorithm. CoRR abs/2006.07757 (2020)
2010 – 2019
- 2019
- [j4]Ziyun Huang, Hu Ding, Jinhui Xu:
A Faster Algorithm for Truth Discovery via Range Cover. Algorithmica 81(10): 4118-4133 (2019) - [i4]Hu Ding:
Greedy Strategy Works for Clustering with Outliers and Coresets Construction. CoRR abs/1901.08219 (2019) - 2018
- [i3]Hu Ding, Jinhui Xu:
A Unified Framework for Clustering Constrained Data without Locality Property. CoRR abs/1810.01049 (2018) - 2017
- [j3]Hu Ding, Jinhui Xu:
FPTAS for Minimizing the Earth Mover's Distance Under Rigid Transformations and Related Problems. Algorithmica 78(3): 741-770 (2017) - [c18]Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu:
Novel Geometric Approach for Global Alignment of PPI Networks. AAAI 2017: 31-37 - [c17]Ziyun Huang, Hu Ding, Jinhui Xu:
Faster Algorithm for Truth Discovery via Range Cover. WADS 2017: 461-472 - 2016
- [j2]Hu Ding, Branislav Stojkovic, Zihe Chen, Andrew Hughes, Lei Xu, Andrew J. Fritz, Nitasha Sehgal, Ronald Berezney, Jinhui Xu:
Chromatic kernel and its applications. J. Comb. Optim. 31(3): 1298-1315 (2016) - [c16]Hu Ding, Jing Gao, Jinhui Xu:
Finding Global Optimum for Truth Discovery: Entropy Based Geometric Variance. SoCG 2016: 34:1-34:16 - [c15]Zihe Chen, Danyang Chen, Hu Ding, Ziyun Huang, Zheshuo Li, Nitasha Sehgal, Andrew J. Fritz, Ronald Berezney, Jinhui Xu:
Finding rigid sub-structure patterns from 3D point-sets. ICPR 2016: 1725-1730 - [c14]Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu:
Distributed and Robust Support Vector Machine. ISAAC 2016: 54:1-54:13 - [c13]Hu Ding, Lu Su, Jinhui Xu:
Towards distributed ensemble clustering for networked sensing systems: a novel geometric approach. MobiHoc 2016: 1-10 - 2015
- [c12]Hu Ding, Jinhui Xu:
Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers. AAAI 2015: 2561-2567 - [c11]Zihe Chen, Hu Ding, Danyang Chen, Xiangyu Wang, Andrew J. Fritz, Nitasha Sehgal, Ronald Berezney, Jinhui Xu:
Mining k-median chromosome association graphs from a population of heterogeneous cells. BCB 2015: 47-56 - [c10]Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng:
Truth Discovery on Crowd Sensing of Correlated Entities. SenSys 2015: 169-182 - [c9]Hu Ding, Jinhui Xu:
A Unified Framework for Clustering Constrained Data without Locality Property. SODA 2015: 1471-1490 - 2014
- [j1]Andrew J. Fritz, Branislav Stojkovic, Hu Ding, Jinhui Xu, Sambit Bhattacharya, Ronald Berezney:
Cell Type Specific Alterations in Interchromosomal Networks across the Cell Cycle. PLoS Comput. Biol. 10(10) (2014) - [c8]Hu Ding, Jinhui Xu:
Finding Median Point-Set Using Earth Mover's Distance. AAAI 2014: 1781-1787 - [c7]Hu Ding, Jinhui Xu:
Sub-linear Time Hybrid Approximations for Least Trimmed Squares Estimator and Related Problems. SoCG 2014: 110 - 2013
- [c6]Hu Ding, Branislav Stojkovic, Ronald Berezney, Jinhui Xu:
Gauging Association Patterns of Chromosome Territories via Chromatic Median. CVPR 2013: 1296-1303 - [c5]Hu Ding, Jinhui Xu:
FPTAS for Minimizing Earth Mover's Distance under Rigid Transformations. ESA 2013: 397-408 - [c4]Hu Ding, Ronald Berezney, Jinhui Xu:
k-Prototype Learning for 3D Rigid Structures. NIPS 2013: 2589-2597 - 2012
- [c3]Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu:
Efficient searching of globally optimal and smooth multisurfaces with shape priors. Image Processing 2012: 83140N - [i2]Hu Ding, Jinhui Xu:
Chromatic $k$-Mean Clustering in High Dimensional Space. CoRR abs/1204.6699 (2012) - [i1]Hu Ding, Jinhui Xu:
Robust Projective Clustering Under $L_{2}$ Norm. CoRR abs/1204.6717 (2012) - 2011
- [c2]Hu Ding, Jinhui Xu:
Solving the Chromatic Cone Clustering Problem via Minimum Spanning Sphere. ICALP (1) 2011: 773-784 - [c1]Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu:
Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness. MLMI 2011: 308-316
Coauthor Index
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