| Epsilon-coresets for clustering (with outliers) in doubling metrics L Huang, SHC Jiang, J Li, X Wu 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS
, 2018 | 81 | 2018 |
| Coresets for clustering in excluded-minor graphs and beyond V Braverman, SHC Jiang, R Krauthgamer, X Wu Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA
, 2021 | 44 | 2021 |
| The power of uniform sampling for coresets V Braverman, V Cohen-Addad, HCS Jiang, R Krauthgamer, ... 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS
, 2022 | 36 | 2022 |
| Coresets for clustering in graphs of bounded treewidth D Baker, V Braverman, L Huang, SHC Jiang, R Krauthgamer, X Wu International Conference on Machine Learning, 569-579, 2020 | 36 | 2020 |
| Coresets for ordered weighted clustering V Braverman, SHC Jiang, R Krauthgamer, X Wu International Conference on Machine Learning, 744-753, 2019 | 30 | 2019 |
| New coresets for projective clustering and applications M Tukan, X Wu, S Zhou, V Braverman, D Feldman International Conference on Artificial Intelligence and Statistics, 5391-5415, 2022 | 20 | 2022 |
| Near-optimal coresets for robust clustering L Huang, SHC Jiang, J Lou, X Wu arXiv preprint arXiv:2210.10394, 2022 | 14 | 2022 |
| Coresets for clustering with missing values V Braverman, S Jiang, R Krauthgamer, X Wu Advances in Neural Information Processing Systems 34, 17360-17372, 2021 | 13 | 2021 |
| Coresets for gaussian mixture models of any shape D Feldman, Z Kfir, X Wu arXiv preprint arXiv:1906.04895, 2019 | 12 | 2019 |
| On optimal coreset construction for euclidean (k, z)-clustering L Huang, J Li, X Wu Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1594-1604, 2024 | 7 | 2024 |
| Towards optimal coreset construction for (k, z)-clustering: Breaking the quadratic dependency on k L Huang, J Li, X Wu CoRR, abs/2211.11923 2 (3), 9, 2022 | 6 | 2022 |
| Improved algorithms for properly learning mixture of gaussians X Wu, C Xie National Conference of Theoretical Computer Science, 8-26, 2018 | 6 | 2018 |
| On coresets for clustering in small dimensional Euclidean spaces L Huang, R Huang, Z Huang, X Wu International Conference on Machine Learning, 13891-13915, 2023 | 5 | 2023 |
| Coresets for clustering with missing values S Jiang, R Krauthgamer, X Wu Advances in Neural Information Processing Systems 34, 2021 | 5 | 2021 |
| Coresets for clustering with general assignment constraints L Huang, S Jiang, J Li, X Wu CoRR, abs/2301.08460, 2023 | 2 | 2023 |
| Coresets for Clustering in Graphs of Bounded Treewidth V Braverman, L Huang, SHC Jiang, R Krauthgamer, X Wu CoRR abs/1907.04733, 2019 | 2 | 2019 |
| Wasserstein identity testing S Deng, W Li, X Wu arXiv preprint arXiv:1710.10457, 2017 | 1 | 2017 |
| Improved Coresets for Clustering with Capacity and Fairness Constraints L Huang, P Lu, X Wu arXiv preprint arXiv:2302.11151, 2023 | | 2023 |
| Coresets for Constrained Clustering: General Assignment Constraints and Improved Size Bounds L Huang, J Li, P Lu, X Wu arXiv preprint arXiv:2301.08460, 2023 | | 2023 |
| Coresets for Clustering: Foundations and Challenges X Wu Johns Hopkins University, 2022 | | 2022 |
Shaofeng JiangPeking UniversityPatvirtintas el. paštas pku.edu.cn
