Lingxiao Huang

Orcid: 0000-0001-7512-142X

According to our database1, Lingxiao Huang authored at least 51 papers between 2012 and 2024.

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Bibliography

2024
Space Complexity of Euclidean Clustering.
CoRR, 2024

A Unified Framework of Multi-Stage Multi-Winner Voting: An Axiomatic Exploration.
CoRR, 2024

2023
Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean.
Remote. Sens., October, 2023

<i>NIR<sub>v</sub>P</i> as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023

A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem.
CoRR, 2023

Coresets for Clustering with General Assignment Constraints.
CoRR, 2023

A Revised Two-Leaf Light Use Efficiency Model for Improving Gross Primary Production Estimation at a Tropical Evergreen Broadleaved Forest Site.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

The Power of Uniform Sampling for k-Median.
Proceedings of the International Conference on Machine Learning, 2023

On Coresets for Clustering in Small Dimensional Euclidean spaces.
Proceedings of the International Conference on Machine Learning, 2023

Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions.
Proceedings of the International Conference on Machine Learning, 2023

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Near-optimal Coresets for Robust Clustering.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MuraNet: Multi-task Floor Plan Recognition with Relation Attention.
Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

2022
Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k.
CoRR, 2022

Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Submodular Optimization under Noise: Local Search is Robust.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Revised MODIS-GPP Algorithm by Incorporating Seasonal Fluctuation of Maximum Light Use Efficiency for Maize and Soybean.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
CAC: A Clustering Based Framework for Classification.
CoRR, 2021

Coresets for Time Series Clustering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Coupled Estimation Of daily Gross Primary Production and Evapotranspiration at 84 Global Forest Sites.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Approximation algorithms for the connected sensor cover problem.
Theor. Comput. Sci., 2020

Numerical simulation of three dimensional flow in Yazidang Reservoir based on image processing.
J. Intell. Fuzzy Syst., 2020

Fair Classification with Noisy Protected Attributes.
CoRR, 2020

Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal.
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

Coresets for Regressions with Panel Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Coresets for Clustering in Graphs of Bounded Treewidth.
Proceedings of the 37th International Conference on Machine Learning, 2020

Towards Just, Fair and Interpretable Methods for Judicial Subset Selection.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Approach to terrain pretreatment for the Yazidang reservoir based on image processing.
Int. J. Inf. Commun. Technol., 2019

Coresets for Clustering in Graphs of Bounded Treewidth.
CoRR, 2019

Coresets for Clustering with Fairness Constraints.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stable and Fair Classification.
Proceedings of the 36th International Conference on Machine Learning, 2019

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
ε-Coresets for Clustering (with Outliers) in Doubling Metrics.
CoRR, 2018

SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms.
Proceedings of the 16th Scandinavian Symposium and Workshops on Algorithm Theory, 2018

Multiwinner Voting with Fairness Constraints.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics.
Proceedings of the 59th IEEE Annual Symposium on Foundations of Computer Science, 2018

2017
Group Fairness in Multiwinner Voting.
CoRR, 2017

Improved Algorithms For Structured Sparse Recovery.
CoRR, 2017

Capacitated Center Problems with Two-Sided Bounds and Outliers.
Proceedings of the Algorithms and Data Structures - 15th International Symposium, 2017

Stochastic <i>k</i>-Center and <i>j</i>-Flat-Center Problems.
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017

2016
Stochastic k-Center and j-Flat-Center Problems.
CoRR, 2016

Canonical Paths for MCMC: from Art to Science.
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

K-Means Clustering with Distributed Dimensions.
Proceedings of the 33nd International Conference on Machine Learning, 2016

epsilon-Kernel Coresets for Stochastic Points.
Proceedings of the 24th Annual European Symposium on Algorithms, 2016

2015
Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points.
Proceedings of the Automata, Languages, and Programming - 42nd International Colloquium, 2015

Vague color image enhancement on fractional differential and improved retinex.
Proceedings of the Color Imaging XX: Displaying, 2015

2014
The multi-shop ski rental problem.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2012
Minimum Spanning Trees, Perfect Matchings and Cycle Covers Over Stochastic Points in Metric Spaces
CoRR, 2012


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