Xuan Wu - RankMe

28 papers A* 11A 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Scientific Research with Gemini: Case Studies and Common Techniques. CoRR David P. Woodruff, Vincent Cohen-Addad, Lalit Jain, Jieming Mao, Song Zuo, MohammadHossein Bateni, Simina Brânzei, Michael P. Brenner, Lin Chen, Ying Feng, Lance Fortnow, Gang Fu, Ziyi Guan, Zahra Hadizadeh, Mohammad T. Hajiaghayi, Mahdi JafariRaviz, Adel Javanmard, Karthik C. S., Ken-ichi Kawarabayashi, Ravi Kumar, Silvio Lattanzi, Euiwoong Lee, Yi Li, Ioannis Panageas, Dimitris Paparas, Benjamin Przybocki, Bernardo Subercaseaux, Ola Svensson, Shayan Taherijam, Xuan Wu, Eylon Yogev, Morteza Zadimoghaddam, Samson Zhou, Yossi Matias, James Manyika, Vahab Mirrokni
2025	A*	`conf`	Coresets for Constrained Clustering: General Assignment Constraints and Improved Size Bounds. SODA Lingxiao Huang, Jian Li, Pinyan Lu, Xuan Wu
2025	J	`jnl`	On Tight Robust Coresets for CoRR Lingxiao Huang, Zhenyu Jiang, Yi Li, Xuan Wu
2025	A*	`conf`	Robust Sparsification via Sensitivity. ICML Chansophea Wathanak In, Yi Li, David P. Woodruff, Xuan Wu
2024	A*	`conf`	On Optimal Coreset Construction for Euclidean (k, z)-Clustering. STOC Lingxiao Huang, Jian Li, Xuan Wu
2023	J	`jnl`	Coresets for Clustering with General Assignment Constraints. CoRR Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
2023	A*	`conf`	Near-optimal Coresets for Robust Clustering. ICLR Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu
2023	J	`jnl`	On Coresets for Clustering in Small Dimensional Euclidean Spaces. CoRR Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
2023	A*	`conf`	On Coresets for Clustering in Small Dimensional Euclidean spaces. ICML Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
2022	J	`jnl`	Near-optimal Coresets for Robust Clustering. CoRR Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu
2022	A	`conf`	New Coresets for Projective Clustering and Applications. AISTATS Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman
2022	J	`jnl`	New Coresets for Projective Clustering and Applications. CoRR Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman
2022	A*	`conf`	The Power of Uniform Sampling for Coresets. FOCS Vladimir Braverman, Vincent Cohen-Addad, Shaofeng H.-C. Jiang, Robert Krauthgamer, Chris Schwiegelshohn, Mads Bech Toftrup, Xuan Wu
2022	J	`jnl`	The Power of Uniform Sampling for Coresets. CoRR Vladimir Braverman, Vincent Cohen-Addad, Shaofeng H.-C. Jiang, Robert Krauthgamer, Chris Schwiegelshohn, Mads Bech Toftrup, Xuan Wu
2022	J	`jnl`	Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k. CoRR Lingxiao Huang, Jian Li, Xuan Wu
2021	A*	`conf`	Coresets for Clustering in Excluded-minor Graphs and Beyond. SODA Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2021	A*	`conf`	Coresets for Clustering with Missing Values. NeurIPS Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2021	J	`jnl`	Coresets for Clustering with Missing Values. CoRR Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2020	J	`jnl`	Coresets for Clustering in Excluded-minor Graphs and Beyond. CoRR Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2020	A*	`conf`	Coresets for Clustering in Graphs of Bounded Treewidth. ICML Daniel N. Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2019	J	`jnl`	Coresets for Clustering in Graphs of Bounded Treewidth. CoRR Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2019	J	`jnl`	Coresets for Gaussian Mixture Models of Any Shape. CoRR Dan Feldman, Zahi Kfir, Xuan Wu
2019	A*	`conf`	Coresets for Ordered Weighted Clustering. ICML Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2019	J	`jnl`	Coresets for Ordered Weighted Clustering. CoRR Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
2018	A*	`conf`	Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. FOCS Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
2018	—	`conf`	Improved Algorithms for Properly Learning Mixture of Gaussians. NCTCS Xuan Wu, Changzhi Xie
2018	J	`jnl`	ε-Coresets for Clustering (with Outliers) in Doubling Metrics. CoRR Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
2017	J	`jnl`	Wasserstein Identity Testing. CoRR Shichuan Deng, Wenzheng Li, Xuan Wu