Huang, Lingxiao

20 publications

ICML 2025 A Mathematical Framework for AI-Human Integration in Work L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi

NeurIPS 2025 Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers Ziyi Fang, Lingxiao Huang, Runkai Yang

NeurIPS 2025 Coresets for Clustering Under Stochastic Noise Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi, Runkai Yang, Haoyu Zhao

ICLR 2025 Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension Huanjian Zhou, Lingxiao Huang, Baoxiang Wang

NeurIPS 2025 Strategic Costs of Perceived Bias in Fair Selection L. Elisa Celis, Lingxiao Huang, Milind Sohoni, Nisheeth K. Vishnoi

ICLR 2023 Near-Optimal Coresets for Robust Clustering Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu

ICML 2023 On Coresets for Clustering in Small Dimensional Euclidean Spaces Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu

ICLR 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan

ICML 2023 Subset Selection Based on Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi

ICML 2023 The Power of Uniform Sampling for K-Median Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou

NeurIPS 2022 Coresets for Vertical Federated Learning: Regularized Linear Regression and $k$-Means Clustering Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao

NeurIPS 2022 Efficient Submodular Optimization Under Noise: Local Search Is Robust Lingxiao Huang, Yuyi Wang, Chunxue Yang, Huanjian Zhou

NeurIPS 2021 Coresets for Time Series Clustering Lingxiao Huang, K Sudhir, Nisheeth Vishnoi

ICML 2021 Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi

ICML 2020 Coresets for Clustering in Graphs of Bounded Treewidth Daniel Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu

NeurIPS 2020 Coresets for Regressions with Panel Data Lingxiao Huang, K Sudhir, Nisheeth Vishnoi

NeurIPS 2019 Coresets for Clustering with Fairness Constraints Lingxiao Huang, Shaofeng Jiang, Nisheeth Vishnoi

ICML 2019 Stable and Fair Classification Lingxiao Huang, Nisheeth Vishnoi

IJCAI 2018 Multiwinner Voting with Fairness Constraints L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi

ICML 2016 K-Means Clustering with Distributed Dimensions Hu Ding, Yu Liu, Lingxiao Huang, Jian Li