Minimum Spanning Trees, Perfect Matchings and Cycle Covers Over Stochastic Points in Metric Spaces - Lingxiao Huang; Jian Li 015 (CoRR, 2012)

Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow. - Jian Li 015; Yicheng Liu; Lingxiao Huang; Pingzhong Tang (AAMAS, 2014)

The multi-shop ski rental problem. - Lingqing Ai; Xian Wu; Lingxiao Huang; Longbo Huang; Pingzhong Tang; Jian Li 015 (SIGMETRICS, 2014)

Vague color image enhancement on fractional differential and improved retinex. - Xin Zhang; Weixing Wang; Xiaojun Huang; Lingxiao Huang; Zhiwei Wang (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2015)

Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points. - Lingxiao Huang; Jian Li 015 (ICALP (1), 2015)

epsilon-Kernel Coresets for Stochastic Points. - Lingxiao Huang; Jian Li 015; Jeff M. Phillips; Haitao Wang 001 (ESA, 2016)

K-Means Clustering with Distributed Dimensions. - Hu Ding; Yu Liu; Lingxiao Huang; Jian Li 015 (ICML, 2016)

Canonical Paths for MCMC: from Art to Science. - Lingxiao Huang; Pinyan Lu; Chihao Zhang 001 (SODA, 2016)

Stochastic k-Center and j-Flat-Center Problems. - Lingxiao Huang; Jian Li 015 (CoRR, 2016)

Stochastic k-Center and j-Flat-Center Problems. - Lingxiao Huang; Jian Li 015 (SODA, 2017)

Capacitated Center Problems with Two-Sided Bounds and Outliers. - Hu Ding; Lunjia Hu; Lingxiao Huang; Jian Li 015 (WADS, 2017)

Improved Algorithms For Structured Sparse Recovery. - Lingxiao Huang; Yifei Jin; Jian Li 015; Haitao Wang 001 (CoRR, 2017)

Group Fairness in Multiwinner Voting. - L. Elisa Celis; Lingxiao Huang; Nisheeth K. Vishnoi (CoRR, 2017)

Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. - Lingxiao Huang; Shaofeng H.-C. Jiang; Jian Li 015; Xuan Wu 002 (FOCS, 2018)

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

SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. - Lingxiao Huang; Yifei Jin; Jian Li 015 (SWAT, 2018)

ε-Coresets for Clustering (with Outliers) in Doubling Metrics. - Lingxiao Huang; Shaofeng H.-C. Jiang; Jian Li 015; Xuan Wu 002 (CoRR, 2018)

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. - L. Elisa Celis; Lingxiao Huang; Vijay Keswani; Nisheeth K. Vishnoi (FAT, 2019)

Stable and Fair Classification. - Lingxiao Huang; Nisheeth K. Vishnoi (ICML, 2019)

Coresets for Clustering with Fairness Constraints. - Lingxiao Huang; Shaofeng H.-C. Jiang; Nisheeth K. Vishnoi (NeurIPS, 2019)

Coresets for Clustering in Graphs of Bounded Treewidth. - Vladimir Braverman; Lingxiao Huang; Shaofeng H.-C. Jiang; Robert Krauthgamer; Xuan Wu 002 (CoRR, 2019)

Approach to terrain pretreatment for the Yazidang reservoir based on image processing. - Lingxiao Huang; Lanxiang Zheng; Hefang Jing; Xuande Zhang; Chunguang Li (Int. J. Inf. Commun. Technol., 2019)

Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. - Lingxiao Huang; Julia Wei; L. Elisa Celis (AIES, 2020)

Coresets for Clustering in Graphs of Bounded Treewidth. - Daniel N. Baker; Vladimir Braverman; Lingxiao Huang; Shaofeng H.-C. Jiang; Robert Krauthgamer; Xuan Wu 002 (ICML, 2020)

Coresets for Regressions with Panel Data. - Lingxiao Huang; K. Sudhir; Nisheeth K. Vishnoi (NeurIPS, 2020)

Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal. - Lingxiao Huang; Nisheeth K. Vishnoi (STOC, 2020)

Fair Classification with Noisy Protected Attributes. - L. Elisa Celis; Lingxiao Huang; Nisheeth K. Vishnoi (CoRR, 2020)

Numerical simulation of three dimensional flow in Yazidang Reservoir based on image processing. - Lingxiao Huang; Qiao Qiao; Lanxiang Zheng; Libo Liu; Wenjuan Zhao; Hefang Jing; Chunguang Li (J. Intell. Fuzzy Syst., 2020)

Approximation algorithms for the connected sensor cover problem. - Lingxiao Huang; Jian Li 015; Qicai Shi (Theor. Comput. Sci., 2020)

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

Coupled Estimation Of daily Gross Primary Production and Evapotranspiration at 84 Global Forest Sites. - Lingxiao Huang; Meng Liu 009; Yazhen Jiang; Ronglin Tang (IGARSS, 2021)

Coresets for Time Series Clustering. - Lingxiao Huang; K. Sudhir; Nisheeth K. Vishnoi (NeurIPS, 2021)

CAC: A Clustering Based Framework for Classification. - Shivin Srivastava; Siddharth Bhatia 001; Lingxiao Huang; Lim Jun Heng; Kenji Kawaguchi; Vaibhav Rajan (CoRR, 2021)

A Revised MODIS-GPP Algorithm by Incorporating Seasonal Fluctuation of Maximum Light Use Efficiency for Maize and Soybean. - Lingxiao Huang; Meng Liu 009; Yazhen Jiang; Ronglin Tang (IGARSS, 2022)

M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. - Shaofeng Zhang; Meng Liu 012; Junchi Yan; Hengrui Zhang; Lingxiao Huang; Xiaokang Yang 001; Pinyan Lu (KDD, 2022)

Efficient Submodular Optimization under Noise: Local Search is Robust. - Lingxiao Huang; Yuyi Wang 001; Chunxue Yang; Huanjian Zhou (NeurIPS, 2022)

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

Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k. - Lingxiao Huang; Jian Li 015; Xuan Wu 002 (CoRR, 2022)

MuraNet: Multi-task Floor Plan Recognition with Relation Attention. - Lingxiao Huang; Jung-Hsuan Wu; Chiching Wei; Wilson Li (ICDAR Workshops (1), 2023)

Near-optimal Coresets for Robust Clustering. - Lingxiao Huang; Shaofeng H.-C. Jiang; Jianing Lou; Xuan Wu 002 (ICLR, 2023)

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. - Chang Liu 021; Zetian Jiang; Runzhong Wang; Lingxiao Huang; Pinyan Lu; Junchi Yan (ICLR, 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)

On Coresets for Clustering in Small Dimensional Euclidean spaces. - Lingxiao Huang; Ruiyuan Huang; Zengfeng Huang; Xuan Wu 002 (ICML, 2023)

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

A Revised Two-Leaf Light Use Efficiency Model for Improving Gross Primary Production Estimation at a Tropical Evergreen Broadleaved Forest Site. - Lingxiao Huang; Meng Liu 009; Yazhen Jiang; Ronglin Tang (IGARSS, 2023)

Coresets for Clustering with General Assignment Constraints. - Lingxiao Huang; Shaofeng H.-C. Jiang; Jian Li 015; Xuan Wu 002 (CoRR, 2023)

A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem. - Zhang-Hua Fu; Sipeng Sun; Jintong Ren; Tianshu Yu 001; Haoyu Zhang 001; Yuanyuan Liu 004; Lingxiao Huang; Xiang Yan; Pinyan Lu (CoRR, 2023)

NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations. - Siyuan Chen; Lichun Sui; Liangyun Liu; Xinjie Liu; Jonathan Li 001; Lingxiao Huang; Xing Li; Xiaojin Qian (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean. - Lingxiao Huang; Meng Liu 012; Na Yao (Remote. Sens., 2023)

Direct Estimation of Ecosystem Water Use Efficiency Using the Random Forest Machine Learning Model. - Yifei Sun; Lingxiao Huang; Junrui Wang; Meng Liu 009; Suchuang Di; Simin Yang; Hang Zhang; Cen Zhang; Ronglin Tang (IGARSS, 2024)

On Optimal Coreset Construction for Euclidean (k, z)-Clustering. - Lingxiao Huang; Jian Li 015; Xuan Wu 002 (STOC, 2024)

A Unified Framework of Multi-Stage Multi-Winner Voting: An Axiomatic Exploration. - Shengjie Gong; Lingxiao Huang; Shuangping Huang; Yuyi Wang 001; Zhiqi Wang; Tao Xiao; Xiang Yan; Chunxue Yang (CoRR, 2024)

A Data-Driven Method for Direct Estimation of Global 8-Day 500-m Ecosystem Water Use Efficiency. - Lingxiao Huang; Yifei Sun; Na Yao; Meng Liu 009 (IEEE Trans. Geosci. Remote. Sens., 2024)

Improved Approximation Algorithms for k-Submodular Maximization via Multilinear Extension. - Huanjian Zhou; Lingxiao Huang; Baoxiang Wang 001 (ICLR, 2025)

Coresets for Constrained Clustering: General Assignment Constraints and Improved Size Bounds. - Lingxiao Huang; Jian Li 015; Pinyan Lu; Xuan Wu 002 (SODA, 2025)

Near-Optimal Dimension Reduction for Facility Location. - Lingxiao Huang; Shaofeng H.-C. Jiang; Robert Krauthgamer; Di Yue (STOC, 2025)

Monitoring paddy rice cultivation adjustments in Northeast China through time series remote sensing and deep learning. - Shihao Wang; Chong Huang 001; Lingxiao Huang; Xinliang Xu; Huading Shi; Qingbao Gu; Qiang Xue; Shiai Liu; Chenchen Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

The Role of Diversity in In-Context Learning for Large Language Models. - Wenyang Xiao; Haoyu Zhao; Lingxiao Huang (CoRR, 2025)

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

Space Complexity of Euclidean Clustering. - Xiaoyi Zhu; Yuxiang Tian; Lingxiao Huang; Zengfeng Huang (IEEE Trans. Inf. Theory, 2025)

On Tight Robust Coresets for k-Medians Clustering. - Lingxiao Huang; Zhenyu Jiang; Yi Li; Xuan Wu (CoRR, 2025)