Xuan Wu

Orcid: 0009-0006-2825-7627

Affiliations:

Nanyang Technological University, Singapore
Huawei Technologies Ltd. (2022 - 2023)
Johns Hopkins University, Baltimore, MD, USA (PhD 2022)
Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China (former)

According to our database¹, Xuan Wu authored at least 21 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Accelerating Scientific Research with Gemini: Case Studies and Common Techniques.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

On Tight Robust Coresets for <i>k</i>-Medians Clustering.

[BibT_eX]

[DOI]

CoRR, July, 2025

Coresets for Constrained Clustering: General Assignment Constraints and Improved Size Bounds.

[BibT_eX]

[DOI]

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Robust Sparsification via Sensitivity.

[BibT_eX]

[DOI]

Chansophea Wathanak In

Yi Li

David P. Woodruff

Xuan Wu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

On Optimal Coreset Construction for Euclidean (k, z)-Clustering.

[BibT_eX]

[DOI]

Lingxiao Huang

Jian Li

Xuan Wu

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

2023

Coresets for Clustering with General Assignment Constraints.

[BibT_eX]

[DOI]

CoRR, 2023

On Coresets for Clustering in Small Dimensional Euclidean spaces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Near-optimal Coresets for Robust Clustering.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k.

[BibT_eX]

[DOI]

Lingxiao Huang

Jian Li

Xuan Wu

CoRR, 2022

The Power of Uniform Sampling for Coresets.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

New Coresets for Projective Clustering and Applications.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Coresets for Clustering in Excluded-minor Graphs and Beyond.

[BibT_eX]

[DOI]

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Coresets for Clustering with Missing Values.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Coresets for Clustering in Graphs of Bounded Treewidth.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Coresets for Clustering in Graphs of Bounded Treewidth.

[BibT_eX]

[DOI]

CoRR, 2019

Coresets for Gaussian Mixture Models of Any Shape.

[BibT_eX]

[DOI]

Dan Feldman

Zahi Kfir

Xuan Wu

CoRR, 2019

Coresets for Ordered Weighted Clustering.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

ε-Coresets for Clustering (with Outliers) in Doubling Metrics.

[BibT_eX]

[DOI]

CoRR, 2018

Improved Algorithms for Properly Learning Mixture of Gaussians.

[BibT_eX]

[DOI]

Xuan Wu

Changzhi Xie

Proceedings of the Theoretical Computer Science - 36th National Conference, 2018

Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Annual Symposium on Foundations of Computer Science, 2018

2017

Wasserstein Identity Testing.

[BibT_eX]

[DOI]

Shichuan Deng

Wenzheng Li

Xuan Wu

CoRR, 2017

Xuan Wu

Timeline

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Bibliography

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