Lingxiao Huang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 64

Top Topics

Plan Recognition

Subset Selection

Euclidean Space

Color Image Enhancement

Top Venues

Publications

Lingxiao Huang, Jian Li, Xuan Wu
On Optimal Coreset Construction for Euclidean (k, z)-Clustering. STOC (2024)
Shengjie Gong, Lingxiao Huang, Shuangping Huang, Yuyi Wang, Zhiqi Wang, Tao Xiao, Xiang Yan, Chunxue Yang
A Unified Framework of Multi-Stage Multi-Winner Voting: An Axiomatic Exploration. CoRR (2024)
Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
Space Complexity of Euclidean Clustering. SoCG (2024)
Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
Space Complexity of Euclidean Clustering. CoRR (2024)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou
The Power of Uniform Sampling for k-Median. CoRR (2023)
Lingxiao Huang, Pinyan Lu, Xuan Wu
Improved Coresets for Clustering with Capacity and Fairness Constraints. CoRR (2023)
Lingxiao Huang, Jung-Hsuan Wu, Chiching Wei, Wilson Li
MuraNet: Multi-task Floor Plan Recognition with Relation Attention. ICDAR Workshops (1) (2023)
Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR (2023)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
Coresets for Clustering with General Assignment Constraints. CoRR (2023)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou
The Power of Uniform Sampling for k-Median. ICML (2023)
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
On Coresets for Clustering in Small Dimensional Euclidean Spaces. CoRR (2023)
Lingxiao Huang, Meng Liu, Yazhen Jiang, Ronglin Tang
A Revised Two-Leaf Light Use Efficiency Model for Improving Gross Primary Production Estimation at a Tropical Evergreen Broadleaved Forest Site. IGARSS (2023)
Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. CoRR (2023)
Lingxiao Huang, Jung-Hsuan Wu, Chiching Wei, Wilson Li
MuraNet: Multi-task Floor Plan Recognition with Relation Attention. CoRR (2023)
Siyuan Chen, Lichun Sui, Liangyun Liu, Xinjie Liu, Jonathan Li, Lingxiao Huang, Xing Li, Xiaojin Qian
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 122 (2023)
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
On Coresets for Clustering in Small Dimensional Euclidean spaces. ICML (2023)
Zhang-Hua Fu, Sipeng Sun, Jintong Ren, Tianshu Yu, Haoyu Zhang, Yuanyuan Liu, Lingxiao Huang, Xiang Yan, Pinyan Lu
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem. CoRR (2023)
Lingxiao Huang, Meng Liu, Na Yao
Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean. Remote. Sens. 15 (20) (2023)
Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. ICML (2023)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu
Near-optimal Coresets for Robust Clustering. ICLR (2023)
Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu
M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. KDD (2022)
Lingxiao Huang, Yuyi Wang, Chunxue Yang, Huanjian Zhou
Efficient Submodular Optimization under Noise: Local Search is Robust. NeurIPS (2022)
Lingxiao Huang, Yuyi Wang, Chunxue Yang, Huanjian Zhou
Efficient Submodular Optimization under Noise: Local Search is Robust. CoRR (2022)
Lingxiao Huang, Meng Liu, Yazhen Jiang, Ronglin Tang
A Revised MODIS-GPP Algorithm by Incorporating Seasonal Fluctuation of Maximum Light Use Efficiency for Maize and Soybean. IGARSS (2022)
Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering. NeurIPS (2022)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu
Near-optimal Coresets for Robust Clustering. CoRR (2022)
Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao
Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering. CoRR (2022)
Lingxiao Huang, Jian Li, Xuan Wu
Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k. CoRR (2022)
Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi
Coresets for Time Series Clustering. CoRR (2021)
Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi
Coresets for Time Series Clustering. NeurIPS (2021)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. ICML (2021)
Lingxiao Huang, Meng Liu, Yazhen Jiang, Ronglin Tang
Coupled Estimation Of daily Gross Primary Production and Evapotranspiration at 84 Global Forest Sites. IGARSS (2021)
Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan
CAC: A Clustering Based Framework for Classification. CoRR (2021)
Lingxiao Huang, Jian Li, Qicai Shi
Approximation algorithms for the connected sensor cover problem. Theor. Comput. Sci. 809 (2020)
Daniel N. Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
Coresets for Clustering in Graphs of Bounded Treewidth. ICML (2020)
Lingxiao Huang, Nisheeth K. Vishnoi
Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal. STOC (2020)
Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi
Coresets for Regressions with Panel Data. CoRR (2020)
Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi
Coresets for Regressions with Panel Data. NeurIPS (2020)
Lingxiao Huang, Nisheeth K. Vishnoi
Coresets for Clustering in Euclidean Spaces: Importance Sampling is Nearly Optimal. CoRR (2020)
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Fair Classification with Noisy Protected Attributes. CoRR (2020)
Lingxiao Huang, Qiao Qiao, Lanxiang Zheng, Libo Liu, Wenjuan Zhao, Hefang Jing, Chunguang Li
Numerical simulation of three dimensional flow in Yazidang Reservoir based on image processing. J. Intell. Fuzzy Syst. 39 (2) (2020)
Lingxiao Huang, Julia Wei, L. Elisa Celis
Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. AIES (2020)
Lingxiao Huang, Nisheeth K. Vishnoi
Stable and Fair Classification. CoRR (2019)
Lingxiao Huang, Shaofeng H.-C. Jiang, Nisheeth K. Vishnoi
Coresets for Clustering with Fairness Constraints. NeurIPS (2019)
Lingxiao Huang, Lanxiang Zheng, Hefang Jing, Xuande Zhang, Chunguang Li
Approach to terrain pretreatment for the Yazidang reservoir based on image processing. Int. J. Inf. Commun. Technol. 14 (3) (2019)
Lingxiao Huang, Nisheeth K. Vishnoi
Stable and Fair Classification. ICML (2019)
Lingxiao Huang, Shaofeng H.-C. Jiang, Nisheeth K. Vishnoi
Coresets for Clustering with Fairness Constraints. CoRR (2019)
Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
Coresets for Clustering in Graphs of Bounded Treewidth. CoRR (2019)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. FAT (2019)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. FOCS (2018)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
ε-Coresets for Clustering (with Outliers) in Doubling Metrics. CoRR (2018)
Lingxiao Huang, Yifei Jin, Jian Li
SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. SWAT (2018)
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Multiwinner Voting with Fairness Constraints. IJCAI (2018)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. CoRR (2018)
Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
Capacitated Center Problems with Two-Sided Bounds and Outliers. WADS (2017)
Yifei Jin, Lingxiao Huang, Jian Li
SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. CoRR (2017)
Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
Capacitated Center Problems with Two-Sided Bounds and Outliers. CoRR (2017)
Lingxiao Huang, Yifei Jin, Jian Li, Haitao Wang
Improved Algorithms For Structured Sparse Recovery. CoRR (2017)
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Group Fairness in Multiwinner Voting. CoRR (2017)
Lingxiao Huang, Jian Li
-Flat-Center Problems. SODA (2017)
Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang
epsilon-Kernel Coresets for Stochastic Points. ESA (2016)
Lingxiao Huang, Jian Li
Stochastic k-Center and j-Flat-Center Problems. CoRR (2016)
Lingxiao Huang, Pinyan Lu, Chihao Zhang
Canonical Paths for MCMC: from Art to Science. SODA (2016)
Hu Ding, Yu Liu, Lingxiao Huang, Jian Li
K-Means Clustering with Distributed Dimensions. ICML (2016)
Xin Zhang, Weixing Wang, Xiaojun Huang, Lingxiao Huang, Zhiwei Wang
Vague color image enhancement on fractional differential and improved retinex. Color Imaging: Displaying, Processing, Hardcopy, and Applications (2015)
Lingxiao Huang, Jian Li, Qicai Shi
Approximation Algorithms for the Connected Sensor Cover Problem. COCOON (2015)
Lingxiao Huang, Jian Li, Qicai Shi
Approximation Algorithms for the Connected Sensor Cover Problem. CoRR (2015)
Lingxiao Huang, Jian Li
Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points. ICALP (1) (2015)
Lingxiao Huang, Pinyan Lu, Chihao Zhang
Canonical Paths for MCMC: from Art to Science. CoRR (2015)
Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li
The multi-shop ski rental problem. SIGMETRICS (2014)
Jian Li, Yicheng Liu, Lingxiao Huang, Pingzhong Tang
Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow. AAMAS (2014)
Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li
The Multi-shop Ski Rental Problem. CoRR (2014)
Lingxiao Huang, Jian Li
Minimum Spanning Trees, Perfect Matchings and Cycle Covers Over Stochastic Points in Metric Spaces CoRR (2012)