| 2026 | AAAI | Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions. | Kangke Cheng, Shihong Song, Guanlin Mo, Hu Ding |
| 2025 | CVPR | Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection. | Qi Chen, Hu Ding |
| 2025 | DAC | To Tackle Cost-Skew Tradeoff: An Adaptive Learning Approach for Hub Node Selection. | Guowei Sun, Lin Chen, Qiming Huang, Hu Ding |
| 2025 | ICCAD | Achieving Simultaneous Buffering and Steiner Tree Synthesis via Harmonic Based Reinforcement Learning. | Lin Chen, Yuxuan Li, Hu Ding |
| 2025 | ICCAD | Towards Multi-Objective Routing: A Novel Coreset-based Transfer Learning Framework. | Xianglu Wang, Hu Ding |
| 2025 | ICLR | An Effective Manifold-based Optimization Method for Distributionally Robust Classification. | Jiawei Huang, Hu Ding |
| 2025 | ICLR | Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems. | Shihong Song, Guanlin Mo, Hu Ding |
| 2025 | ICLR | Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness. | Xianglu Wang, Hu Ding |
| 2025 | ICLR | To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation. | Wanlin Zhang, Weichen Lin, Ruomin Huang, Shihong Song, Hu Ding |
| 2025 | ICML | Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness. | Yuntao Wang, Yuxuan Li, Qingyuan Yang, Hu Ding |
| 2024 | AAAI | A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem. | Xiaoyang Xu, Hu Ding |
| 2024 | COCOON | Bi-criteria Sublinear Time Algorithms for Clustering with Outliers in High Dimensions. | Jiawei Huang, Wenjie Liu, Hu Ding |
| 2024 | DAC | OTPlace-Vias: A Novel Optimal Transport Based Method for High Density Vias Placement in 3D Circuits. | Lin Chen, Qi Xu, Hu Ding |
| 2024 | ICML | An Effective Dynamic Gradient Calibration Method for Continual Learning. | Weichen Lin, Jiaxiang Chen, Ruomin Huang, Hu Ding |
| 2024 | IJCAI | Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers. | Qingyuan Yang, Hu Ding |
| 2023 | ICCAD | Towards Timing-Driven Routing: An Efficient Learning Based Geometric Approach. | Liying Yang, Guowei Sun, Hu Ding |
| 2023 | MICCAI | Solving Low-Dose CT Reconstruction via GAN with Local Coherence. | Wenjie Liu, Hu Ding |
| 2022 | UAI | Sublinear time algorithms for greedy selection in high dimensions. | Qi Chen, Kai Liu, Ruilong Yao, Hu Ding |
| 2021 | ESA | Stability Yields Sublinear Time Algorithms for Geometric Optimization in Machine Learning. | Hu Ding |
| 2021 | ICML | A Novel Sequential Coreset Method for Gradient Descent Algorithms. | Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding |
| 2021 | UAI | Defending SVMs against poisoning attacks: the hardness and DBSCAN approach. | Hu Ding, Fan Yang, Jiawei Huang |
| 2021 | SDM | A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions. | Hu Ding, Tan Chen, Fan Yang, Mingyue Wang |
| 2020 | ESA | A Sub-Linear Time Framework for Geometric Optimization with Outliers in High Dimensions. | Hu Ding |
| 2020 | ICML | Layered Sampling for Robust Optimization Problems. | Hu Ding, Zixiu Wang |
| 2020 | IJCAI | On Metric DBSCAN with Low Doubling Dimension. | Hu Ding, Fan Yang, Mingyue Wang |
| 2020 | ISPA | Parallel Computing and Optimization of Lattice Boltzmann Method Based on SW26010 Processor. | Xiaoxiao Zhang, Liangjun Wang, Xuesen Chu, Hu Ding, Wu Zhang |
| 2019 | AAAI | On Geometric Alignment in Low Doubling Dimension. | Hu Ding, Mingquan Ye |
| 2019 | ESA | Greedy Strategy Works for k-Center Clustering with Outliers and Coreset Construction. | Hu Ding, Haikuo Yu, Zixiu Wang |
| 2018 | ESA | On Geometric Prototype and Applications. | Hu Ding, Manni Liu |
| 2017 | AAAI | Novel Geometric Approach for Global Alignment of PPI Networks. | Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu |
| 2017 | COCOA | Protein Mover's Distance: A Geometric Framework for Solving Global Alignment of PPI Networks. | Manni Liu, Hu Ding |
| 2017 | WADS | Capacitated Center Problems with Two-Sided Bounds and Outliers. | Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li |
| 2017 | WADS | Faster Algorithm for Truth Discovery via Range Cover. | Ziyun Huang, Hu Ding, Jinhui Xu |
| 2016 | ICML | K-Means Clustering with Distributed Dimensions. | Hu Ding, Yu Liu, Lingxiao Huang, Jian Li |
| 2016 | ICPR | 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 |
| 2016 | ISAAC | Distributed and Robust Support Vector Machine. | Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu |
| 2016 | MOBIHOC | Towards distributed ensemble clustering for networked sensing systems: a novel geometric approach. | Hu Ding, Lu Su, Jinhui Xu |
| 2015 | AAAI | Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers. | Hu Ding, Jinhui Xu |
| 2015 | SODA | A Unified Framework for Clustering Constrained Data without Locality Property. | Hu Ding, Jinhui Xu |
| 2015 | SENSYS | Truth Discovery on Crowd Sensing of Correlated Entities. | Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng |
| 2014 | AAAI | Finding Median Point-Set Using Earth Mover's Distance. | Hu Ding, Jinhui Xu |
| 2013 | CVPR | Gauging Association Patterns of Chromosome Territories via Chromatic Median. | Hu Ding, Branislav Stojkovic, Ronald Berezney, Jinhui Xu |
| 2013 | ESA | FPTAS for Minimizing Earth Mover's Distance under Rigid Transformations. | Hu Ding, Jinhui Xu |
| 2011 | ICALP | Solving the Chromatic Cone Clustering Problem via Minimum Spanning Sphere. | Hu Ding, Jinhui Xu |
| 2011 | MICCAI | 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 |