← Authors

Lingxiao Huang

17 papers · 2016–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (27) 🧭 Keyword Pioneer πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (17) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (57)

Conferences

ICML (8) NIPS (5) ICLR (3) IJCAI (1)

Top co-authors

L. Elisa Celis (4) Nisheeth Vishnoi (4) Nisheeth K. Vishnoi (4) Shaofeng H.-C. Jiang (3) Xuan Wu (3) K Sudhir (2) Jianing Lou (2) Huanjian Zhou (2) Hu Ding (1) Niclas Boehmer (1)

Keywords

approximation algorithm (5) fairness constraint (4) coreset construction (3) k-means clustering (3) communication complexity (2) submodular function (2) multiwinner voting (2) fair classification (2) ranking aggregation (1) maximum likelihood (1) data subsampling (1) euclidean space (1) graph clustering (1) sensitivity analysis (1) uniform sampling (1) false positive rate (1) time series clustering (1) query complexity (1) linear regression (1) distributed computing (1)

Papers

A Mathematical Framework for AI-Human Integration in Work ICML 2025
Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension ICLR 2025
The Power of Uniform Sampling for k-Median ICML 2023
On Coresets for Clustering in Small Dimensional Euclidean spaces ICML 2023
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions ICML 2023
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023
Near-optimal Coresets for Robust Clustering ICLR 2023
Efficient Submodular Optimization under Noise: Local Search is Robust NIPS 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering NIPS 2022
Coresets for Time Series Clustering NIPS 2021
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021
Coresets for Regressions with Panel Data NIPS 2020
Coresets for Clustering in Graphs of Bounded Treewidth ICML 2020
Stable and Fair Classification ICML 2019
Coresets for Clustering with Fairness Constraints NIPS 2019
Multiwinner Voting with Fairness Constraints IJCAI 2018
K-Means Clustering with Distributed Dimensions ICML 2016