Institute for Interdisciplinary Information Sciences
2018-2021, Johns Hopkins University, Ph.D.
I have successfully defended my Ph.D. thesis, my thesis work is "Coresets for Clustering: Foundations and Challenges".
I have broad interests in various areas from the TCS community including Computational Learning Theory, Approximation Algorithms, Property Testing, Coresets, and Sketches.
2010 Asia-Pacific Informatics Olympiad (APIO 2010) Gold Prize, Ranking 6 of all players.
2010 National Olympics of Informatics (NOI 2010) Silver Prize, Ranking 26 of all players,
2011 Chinese Mathematics Olympics (CMO 2011) Gold Prize, Ranking 11 of all players.
2021 MINDS Fellowship, Johns Hopkins University
(Authors are ordered alphabetically otherwise marked by (C) )
New Coresets for Projective Clustering and Applications. (C) Murad Tukan*, Xuan Wu*, Samson Zhou, Vladimir Braverman, Dan Feldman. (AISTATS 2022, To appear)
Coresets for Clustering with Missing Values. Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgameer, Xuan Wu. (NeurIPS 2021 Spotlight )
Coresets for Clustering in Excluded-minor Graphs and Beyond. Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu. (SODA 2021)
Coresets for Clustering in Graphs of Bounded Treewidth. Daniel Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu. (ICML 2020)
Improved Algorithms for Learning Mixtures of Gaussians. Xuan Wu, Changzhi Xie.
Wasserstein Identity Testing. Shichuan Deng, Wenzheng Li, Xuan Wu.
Talks and Slides
Coresets for Ordered Weighted Clustering. ICML 2019
Coresets for Clustering in Graphs of Bounded Treewidth. ICML 2020
Coresets for Clustering in Excluded-minor Graphs and Beyond. SODA 2021
Coresets for Clustering with Missing Values. NeurIPS 2021, Spotlight Presentation