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2020 – today
- 2024
[c37]Xiaoyi Zhu, Yuxiang Tian
, Lingxiao Huang, Zengfeng Huang:
Space Complexity of Euclidean Clustering. SoCG 2024: 82:1-82:16- [c36]Yifei Sun, Lingxiao Huang, Junrui Wang, Meng Liu, Suchuang Di, Simin Yang, Hang Zhang, Cen Zhang, Ronglin Tang:
Direct Estimation of Ecosystem Water Use Efficiency Using the Random Forest Machine Learning Model. IGARSS 2024: 10550-10553 - [c35]Lingxiao Huang, Jian Li, Xuan Wu:
On Optimal Coreset Construction for Euclidean (k, z)-Clustering. STOC 2024: 1594-1604 - [i31]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 abs/2402.02673 (2024) - [i30]Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang:
Space Complexity of Euclidean Clustering. CoRR abs/2403.02971 (2024) - 2023
- [j5]Siyuan Chen, Lichun Sui, Liangyun Liu, Xinjie Liu, Jonathan Li, Lingxiao Huang, Xing Li, Xiaojin Qian:
NIRvP 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: 103437 (2023) - [j4]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): 4922 (2023) - [c34]Lingxiao Huang, Jung-Hsuan Wu, Chiching Wei, Wilson Li:
MuraNet: Multi-task Floor Plan Recognition with Relation Attention. ICDAR Workshops (1) 2023: 135-150 - [c33]Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu:
Near-optimal Coresets for Robust Clustering. ICLR 2023 - [c32]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 - [c31]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: 2641-2688 - [c30]Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu:
On Coresets for Clustering in Small Dimensional Euclidean spaces. ICML 2023: 13891-13915 - [c29]Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou:
The Power of Uniform Sampling for k-Median. ICML 2023: 13933-13956 - [c28]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: 7153-7155 - [i29]Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu:
Coresets for Clustering with General Assignment Constraints. CoRR abs/2301.08460 (2023) - [i28]Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou:
The Power of Uniform Sampling for k-Median. CoRR abs/2302.11339 (2023) - [i27]Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu:
On Coresets for Clustering in Small Dimensional Euclidean Spaces. CoRR abs/2302.13737 (2023) - [i26]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 abs/2306.09835 (2023) - [i25]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 abs/2308.04639 (2023) - [i24]Lingxiao Huang, Jung-Hsuan Wu, Chiching Wei, Wilson Li:
MuraNet: Multi-task Floor Plan Recognition with Relation Attention. CoRR abs/2309.00348 (2023) - 2022
- [c27]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: 2773-2776 - [c26]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: 2461-2470 - [c25]Lingxiao Huang, Yuyi Wang, Chunxue Yang, Huanjian Zhou:
Efficient Submodular Optimization under Noise: Local Search is Robust. NeurIPS 2022 - [c24]Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao:
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering. NeurIPS 2022 - [i23]Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu:
Near-optimal Coresets for Robust Clustering. CoRR abs/2210.10394 (2022) - [i22]Lingxiao Huang, Yuyi Wang, Chunxue Yang, Huanjian Zhou:
Efficient Submodular Optimization under Noise: Local Search is Robust. CoRR abs/2210.11992 (2022) - [i21]Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao:
Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering. CoRR abs/2210.14664 (2022) - [i20]Lingxiao Huang, Jian Li, Xuan Wu:
Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k. CoRR abs/2211.11923 (2022) - 2021
- [c23]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. ICML 2021: 1349-1361 - [c22]Lingxiao Huang, Meng Liu, Yazhen Jiang, Ronglin Tang:
Coupled Estimation Of daily Gross Primary Production and Evapotranspiration at 84 Global Forest Sites. IGARSS 2021: 3741-3744 - [c21]Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi:
Coresets for Time Series Clustering. NeurIPS 2021: 22849-22862 - [i19]Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan:
CAC: A Clustering Based Framework for Classification. CoRR abs/2102.11872 (2021) - [i18]Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi:
Coresets for Time Series Clustering. CoRR abs/2110.15263 (2021) - 2020
- [j3]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): 1591-1600 (2020) - [j2]Lingxiao Huang, Jian Li, Qicai Shi:
Approximation algorithms for the connected sensor cover problem. Theor. Comput. Sci. 809: 563-574 (2020) - [c20]Lingxiao Huang, Julia Wei, L. Elisa Celis:
Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. AIES 2020: 293-299 - [c19]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: 569-579 - [c18]Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi:
Coresets for Regressions with Panel Data. NeurIPS 2020 - [c17]Lingxiao Huang, Nisheeth K. Vishnoi:
Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal. STOC 2020: 1416-1429 - [i17]Lingxiao Huang, Nisheeth K. Vishnoi:
Coresets for Clustering in Euclidean Spaces: Importance Sampling is Nearly Optimal. CoRR abs/2004.06263 (2020) - [i16]L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi:
Fair Classification with Noisy Protected Attributes. CoRR abs/2006.04778 (2020) - [i15]Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi:
Coresets for Regressions with Panel Data. CoRR abs/2011.00981 (2020)
2010 – 2019
- 2019
- [j1]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): 356-372 (2019) - [c16]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. FAT 2019: 319-328 - [c15]Lingxiao Huang, Nisheeth K. Vishnoi:
Stable and Fair Classification. ICML 2019: 2879-2890 - [c14]Lingxiao Huang, Shaofeng H.-C. Jiang, Nisheeth K. Vishnoi:
Coresets for Clustering with Fairness Constraints. NeurIPS 2019: 7587-7598 - [i14]Lingxiao Huang, Nisheeth K. Vishnoi:
Stable and Fair Classification. CoRR abs/1902.07823 (2019) - [i13]Lingxiao Huang, Shaofeng H.-C. Jiang, Nisheeth K. Vishnoi:
Coresets for Clustering with Fairness Constraints. CoRR abs/1906.08484 (2019) - [i12]Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu:
Coresets for Clustering in Graphs of Bounded Treewidth. CoRR abs/1907.04733 (2019) - 2018
- [c13]Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu:
Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. FOCS 2018: 814-825 - [c12]L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi:
Multiwinner Voting with Fairness Constraints. IJCAI 2018: 144-151 - [c11]Lingxiao Huang, Yifei Jin, Jian Li:
SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. SWAT 2018: 25:1-25:13 - [i11]Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu:
ε-Coresets for Clustering (with Outliers) in Doubling Metrics. CoRR abs/1804.02530 (2018) - [i10]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. CoRR abs/1806.06055 (2018) - 2017
- [c10]Lingxiao Huang, Jian Li:
Stochastic k-Center and j-Flat-Center Problems. SODA 2017: 110-129 - [c9]Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li:
Capacitated Center Problems with Two-Sided Bounds and Outliers. WADS 2017: 325-336 - [i9]Lingxiao Huang, Yifei Jin, Jian Li, Haitao Wang:
Improved Algorithms For Structured Sparse Recovery. CoRR abs/1701.05674 (2017) - [i8]Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li:
Capacitated Center Problems with Two-Sided Bounds and Outliers. CoRR abs/1702.07435 (2017) - [i7]Yifei Jin, Lingxiao Huang, Jian Li:
SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. CoRR abs/1705.07252 (2017) - [i6]L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi:
Group Fairness in Multiwinner Voting. CoRR abs/1710.10057 (2017) - 2016
- [c8]Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang:
epsilon-Kernel Coresets for Stochastic Points. ESA 2016: 50:1-50:18 - [c7]Hu Ding, Yu Liu, Lingxiao Huang, Jian Li:
K-Means Clustering with Distributed Dimensions. ICML 2016: 1339-1348 - [c6]Lingxiao Huang, Pinyan Lu, Chihao Zhang:
Canonical Paths for MCMC: from Art to Science. SODA 2016: 514-527 - [i5]Lingxiao Huang, Jian Li:
Stochastic k-Center and j-Flat-Center Problems. CoRR abs/1607.04989 (2016) - 2015
- [c5]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: 93950Q - [c4]Lingxiao Huang, Jian Li, Qicai Shi:
Approximation Algorithms for the Connected Sensor Cover Problem. COCOON 2015: 183-196 - [c3]Lingxiao Huang, Jian Li:
Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points. ICALP (1) 2015: 910-921 - [i4]Lingxiao Huang, Jian Li, Qicai Shi:
Approximation Algorithms for the Connected Sensor Cover Problem. CoRR abs/1505.00081 (2015) - [i3]Lingxiao Huang, Pinyan Lu, Chihao Zhang:
Canonical Paths for MCMC: from Art to Science. CoRR abs/1510.04099 (2015) - 2014
- [c2]Jian Li, Yicheng Liu, Lingxiao Huang, Pingzhong Tang:
Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow. AAMAS 2014: 445-452 - [c1]Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li:
The multi-shop ski rental problem. SIGMETRICS 2014: 463-475 - [i2]Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li:
The Multi-shop Ski Rental Problem. CoRR abs/1404.2671 (2014) - 2012
- [i1]Lingxiao Huang, Jian Li:
Minimum Spanning Trees, Perfect Matchings and Cycle Covers Over Stochastic Points in Metric Spaces. CoRR abs/1209.5828 (2012)
Coauthor Index
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