Hu Ding - RankMe

101 papers A* 28A 11B 6Misc 1Journal 45Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions. AAAI Kangke Cheng, Shihong Song, Guanlin Mo, Hu Ding
2026	J	`jnl`	Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High dimensions. CoRR Kangke Cheng, Shihong Song, Guanlin Mo, Hu Ding
2025	A	`conf`	Achieving Simultaneous Buffering and Steiner Tree Synthesis via Harmonic Based Reinforcement Learning. ICCAD Lin Chen, Yuxuan Li, Hu Ding
2025	A*	`conf`	An Effective Manifold-based Optimization Method for Distributionally Robust Classification. ICLR Jiawei Huang, Hu Ding
2025	J	`jnl`	Bi-criteria sublinear time algorithms for clustering with outliers in high dimensions. Theor. Comput. Sci. Jiawei Huang, Wenjie Liu, Hu Ding
2025	A*	`conf`	Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness. ICLR Xianglu Wang, Hu Ding
2025	A*	`conf`	Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness. ICML Yuntao Wang, Yuxuan Li, Qingyuan Yang, Hu Ding
2025	A*	`conf`	Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems. ICLR Shihong Song, Guanlin Mo, Hu Ding
2025	J	`jnl`	Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities. CoRR Hu Ding, Pengxiang Hua, Zhen Huang
2025	A*	`conf`	To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation. ICLR Wanlin Zhang, Weichen Lin, Ruomin Huang, Shihong Song, Hu Ding
2025	A*	`conf`	To Tackle Cost-Skew Tradeoff: An Adaptive Learning Approach for Hub Node Selection. DAC Guowei Sun, Lin Chen, Qiming Huang, Hu Ding
2025	A	`conf`	Towards Multi-Objective Routing: A Novel Coreset-based Transfer Learning Framework. ICCAD Xianglu Wang, Hu Ding
2024	A*	`conf`	A Novel Confidence Guided Training Method for Conditional GANs with Auxiliary Classifier. ACM Multimedia Qi Chen, Wenjie Liu, Hu Ding
2024	A*	`conf`	A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem. AAAI Xiaoyang Xu, Hu Ding
2024	A*	`conf`	An Effective Dynamic Gradient Calibration Method for Continual Learning. ICML Weichen Lin, Jiaxiang Chen, Ruomin Huang, Hu Ding
2024	J	`jnl`	An Effective Dynamic Gradient Calibration Method for Continual Learning. CoRR Weichen Lin, Jiaxiang Chen, Ruomin Huang, Hu Ding
2024	J	`jnl`	Approximate Algorithms For CoRR Qingyuan Yang, Hu Ding
2024	A*	`conf`	Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers. IJCAI Qingyuan Yang, Hu Ding
2024	—	`conf`	Bi-criteria Sublinear Time Algorithms for Clustering with Outliers in High Dimensions. COCOON (1) Jiawei Huang, Wenjie Liu, Hu Ding
2024	A*	`conf`	OTPlace-Vias: A Novel Optimal Transport Based Method for High Density Vias Placement in 3D Circuits. DAC Lin Chen, Qi Xu, Hu Ding
2024	J	`jnl`	Relax and Merge: A Simple Yet Effective Framework for Solving Fair CoRR Shihong Song, Guanlin Mo, Qingyuan Yang, Hu Ding
2024	J	`jnl`	Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms. CoRR Guanlin Mo, Shihong Song, Hu Ding
2024	J	`jnl`	Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms. Proc. ACM Manag. Data Guanlin Mo, Shihong Song, Hu Ding
2023	J	`jnl`	A Data-dependent Approach for High-dimensional (Robust) Wasserstein Alignment. ACM J. Exp. Algorithmics Hu Ding, Wenjie Liu, Mingquan Ye
2023	J	`jnl`	A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem. CoRR Xiaoyang Xu, Hu Ding
2023	J	`jnl`	Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers. CoRR Hu Ding, Ruomin Huang, Kai Liu, Haikuo Yu, Zixiu Wang
2023	—	`conf`	Solving Low-Dose CT Reconstruction via GAN with Local Coherence. MICCAI (10) Wenjie Liu, Hu Ding
2023	J	`jnl`	Sublinear Time Algorithms for Several Geometric Optimization (With Outliers) Problems In Machine Learning. CoRR Hu Ding
2023	A	`conf`	Towards Timing-Driven Routing: An Efficient Learning Based Geometric Approach. ICCAD Liying Yang, Guowei Sun, Hu Ding
2022	J	`jnl`	A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment. CoRR Hu Ding, Wenjie Liu, Mingquan Ye
2022	A*	`conf`	Coresets for Relational Data and The Applications. NeurIPS Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding
2022	J	`jnl`	Coresets for Relational Data and The Applications. CoRR Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding
2022	A*	`conf`	Coresets for Wasserstein Distributionally Robust Optimization Problems. NeurIPS Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding
2022	J	`jnl`	Coresets for Wasserstein Distributionally Robust Optimization Problems. CoRR Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding
2022	—	`conf`	Online Competitive Posted-Pricing Mechanism for Trading Time-Sensitive Valued Data. BigCom Shuangshuang Xue, Hu Ding, Lan Zhang, Haisheng Tan, Xiang-Yang Li
2022	J	`jnl`	Random Projection and Recovery for High Dimensional Optimization with Arbitrary Outliers. Int. J. Comput. Geom. Appl. Jiawei Huang, Ruizhe Qin, Fan Yang, Hu Ding
2022	A	`conf`	Sublinear time algorithms for greedy selection in high dimensions. UAI Qi Chen, Kai Liu, Ruilong Yao, Hu Ding
2021	A	`conf`	A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions. SDM Hu Ding, Tan Chen, Fan Yang, Mingyue Wang
2021	A*	`conf`	A Novel Sequential Coreset Method for Gradient Descent Algorithms. ICML Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding
2021	J	`jnl`	A Novel Sequential Coreset Method for Gradient Descent Algorithms. CoRR Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding
2021	A	`conf`	Defending SVMs against poisoning attacks: the hardness and DBSCAN approach. UAI Hu Ding, Fan Yang, Jiawei Huang
2021	J	`jnl`	Is Simple Uniform Sampling Efficient for Center-Based Clustering With Outliers: When and Why? CoRR Hu Ding, Jiawei Huang
2021	J	`jnl`	Robust Coreset for Continuous-and-Bounded Learning (with Outliers). CoRR Zixiu Wang, Yiwen Guo, Hu Ding
2021	A*	`conf`	Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems. NeurIPS Zixiu Wang, Yiwen Guo, Hu Ding
2021	A*	`conf`	Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter. NeurIPS Ruizhe Qin, Mengying Li, Hu Ding
2021	A	`conf`	Stability Yields Sublinear Time Algorithms for Geometric Optimization in Machine Learning. ESA Hu Ding
2020	J	`jnl`	A Data Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimension. CoRR Hu Ding, Tan Chen, Mingyue Wang, Fan Yang
2020	A	`conf`	A Sub-Linear Time Framework for Geometric Optimization with Outliers in High Dimensions. ESA Hu Ding
2020	J	`jnl`	A Sub-linear Time Framework for Geometric Optimization with Outliers in High Dimensions. CoRR Hu Ding
2020	J	`jnl`	A Unified Framework for Clustering Constrained Data Without Locality Property. Algorithmica Hu Ding, Jinhui Xu
2020	J	`jnl`	Defending Support Vector Machines against Poisoning Attacks: the Hardness and Algorithm. CoRR Hu Ding, Fan Yang, Jiawei Huang
2020	J	`jnl`	Distributed and Robust Support Vector Machine. Int. J. Comput. Geom. Appl. Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu
2020	J	`jnl`	Faster balanced clusterings in high dimension. Theor. Comput. Sci. Hu Ding
2020	A*	`conf`	Layered Sampling for Robust Optimization Problems. ICML Hu Ding, Zixiu Wang
2020	J	`jnl`	Layered Sampling for Robust Optimization Problems. CoRR Hu Ding, Zixiu Wang
2020	J	`jnl`	Learning the truth vector in high dimensions. J. Comput. Syst. Sci. Hu Ding, Jinhui Xu
2020	A*	`conf`	On Metric DBSCAN with Low Doubling Dimension. IJCAI Hu Ding, Fan Yang, Mingyue Wang
2020	J	`jnl`	On Metric DBSCAN with Low Doubling Dimension. CoRR Hu Ding, Fan Yang
2020	J	`jnl`	The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization with Outliers. CoRR Hu Ding, Ruizhe Qin, Jiawei Huang
2019	J	`jnl`	A Faster Algorithm for Truth Discovery via Range Cover. Algorithmica Ziyun Huang, Hu Ding, Jinhui Xu
2019	J	`jnl`	A Practical Framework for Solving Center-Based Clustering with Outliers. CoRR Hu Ding, Haikuo Yu
2019	J	`jnl`	Greedy Strategy Works for Clustering with Outliers and Coresets Construction. CoRR Hu Ding
2019	A	`conf`	Greedy Strategy Works for k-Center Clustering with Outliers and Coreset Construction. ESA Hu Ding, Haikuo Yu, Zixiu Wang
2019	J	`jnl`	Minimum Enclosing Ball Revisited: Stability and Sub-linear Time Algorithms. CoRR Hu Ding
2019	A*	`conf`	On Geometric Alignment in Low Doubling Dimension. AAAI Hu Ding, Mingquan Ye
2019	—	`conf`	Simulation Analysis of Vehicle Trajectory Tracking Based on Model Predictive Control. ISIE Haoyang Fan, Shaohua Li, Hu Ding, Junning Zhang
2018	J	`jnl`	A Unified Framework for Clustering Constrained Data without Locality Property. CoRR Hu Ding, Jinhui Xu
2018	J	`jnl`	Faster Balanced Clusterings in High Dimension. CoRR Hu Ding
2018	J	`jnl`	On Geometric Alignment in Low Doubling Dimension. CoRR Hu Ding, Mingquan Ye
2018	J	`jnl`	On Geometric Prototype And Applications. CoRR Hu Ding, Manni Liu
2018	A	`conf`	On Geometric Prototype and Applications. ESA Hu Ding, Manni Liu
2018	J	`jnl`	Solving Minimum Enclosing Ball with Outliers: Algorithm, Implementation, and Application. CoRR Hu Ding, Mingquan Ye
2017	—	`conf`	Balanced k-Center Clustering When k Is A Constant. CCCG Hu Ding
2017	J	`jnl`	Balanced k-Center Clustering When k Is A Constant. CoRR Hu Ding
2017	B	`conf`	Capacitated Center Problems with Two-Sided Bounds and Outliers. WADS Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
2017	J	`jnl`	Capacitated Center Problems with Two-Sided Bounds and Outliers. CoRR Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
2017	J	`jnl`	FPTAS for Minimizing the Earth Mover's Distance Under Rigid Transformations and Related Problems. Algorithmica Hu Ding, Jinhui Xu
2017	B	`conf`	Faster Algorithm for Truth Discovery via Range Cover. WADS Ziyun Huang, Hu Ding, Jinhui Xu
2017	A*	`conf`	Novel Geometric Approach for Global Alignment of PPI Networks. AAAI Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu
2017	—	`conf`	Protein Mover's Distance: A Geometric Framework for Solving Global Alignment of PPI Networks. COCOA (1) Manni Liu, Hu Ding
2016	J	`jnl`	Chromatic kernel and its applications. J. Comb. Optim. Hu Ding, Branislav Stojkovic, Zihe Chen, Andrew Hughes, Lei Xu, Andrew J. Fritz, Nitasha Sehgal, Ronald Berezney, Jinhui Xu
2016	B	`conf`	Distributed and Robust Support Vector Machine. ISAAC Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu
2016	A*	`conf`	Finding Global Optimum for Truth Discovery: Entropy Based Geometric Variance. SoCG Hu Ding, Jing Gao, Jinhui Xu
2016	B	`conf`	Finding rigid sub-structure patterns from 3D point-sets. ICPR Zihe Chen, Danyang Chen, Hu Ding, Ziyun Huang, Zheshuo Li, Nitasha Sehgal, Andrew J. Fritz, Ronald Berezney, Jinhui Xu
2016	A*	`conf`	K-Means Clustering with Distributed Dimensions. ICML Hu Ding, Yu Liu, Lingxiao Huang, Jian Li
2016	B	`conf`	Towards distributed ensemble clustering for networked sensing systems: a novel geometric approach. MobiHoc Hu Ding, Lu Su, Jinhui Xu
2015	A*	`conf`	A Unified Framework for Clustering Constrained Data without Locality Property. SODA Hu Ding, Jinhui Xu
2015	—	`conf`	Mining k-median chromosome association graphs from a population of heterogeneous cells. BCB Zihe Chen, Hu Ding, Danyang Chen, Xiangyu Wang, Andrew J. Fritz, Nitasha Sehgal, Ronald Berezney, Jinhui Xu
2015	A*	`conf`	Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers. AAAI Hu Ding, Jinhui Xu
2015	Misc	`conf`	Truth Discovery on Crowd Sensing of Correlated Entities. SenSys Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng
2014	J	`jnl`	Cell Type Specific Alterations in Interchromosomal Networks across the Cell Cycle. PLoS Comput. Biol. Andrew J. Fritz, Branislav Stojkovic, Hu Ding, Jinhui Xu, Sambit Bhattacharya, Ronald Berezney
2014	A*	`conf`	Finding Median Point-Set Using Earth Mover's Distance. AAAI Hu Ding, Jinhui Xu
2014	A*	`conf`	Sub-linear Time Hybrid Approximations for Least Trimmed Squares Estimator and Related Problems. SoCG Hu Ding, Jinhui Xu
2013	A	`conf`	FPTAS for Minimizing Earth Mover's Distance under Rigid Transformations. ESA Hu Ding, Jinhui Xu
2013	A*	`conf`	Gauging Association Patterns of Chromosome Territories via Chromatic Median. CVPR Hu Ding, Branislav Stojkovic, Ronald Berezney, Jinhui Xu
2013	—	`conf`	k-Prototype Learning for 3D Rigid Structures. NIPS Hu Ding, Ronald Berezney, Jinhui Xu
2012	J	`jnl`	Chromatic $k$-Mean Clustering in High Dimensional Space CoRR Hu Ding, Jinhui Xu
2012	B	`conf`	Efficient searching of globally optimal and smooth multisurfaces with shape priors. Image Processing Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu
2012	J	`jnl`	Robust Projective Clustering Under $L_{2}$ Norm CoRR Hu Ding, Jinhui Xu
2011	—	`conf`	Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness. MLMI Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu
2011	—	`conf`	Solving the Chromatic Cone Clustering Problem via Minimum Spanning Sphere. ICALP (1) Hu Ding, Jinhui Xu