| 2026 | ICALP | Towards Tight Robust Coresets for k-Medians Clustering. | Lingxiao Huang, Zhenyu Jiang, Yi Li, Xuan Wu |
| 2025 | ICLR | Improved Approximation Algorithms for k-Submodular Maximization via Multilinear Extension. | Huanjian Zhou, Lingxiao Huang, Baoxiang Wang |
| 2025 | ICML | A Mathematical Framework for AI-Human Integration in Work. | L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi |
| 2025 | SODA | Coresets for Constrained Clustering: General Assignment Constraints and Improved Size Bounds. | Lingxiao Huang, Jian Li, Pinyan Lu, Xuan Wu |
| 2025 | STOC | Near-Optimal Dimension Reduction for Facility Location. | Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Di Yue |
| 2024 | IGARSS | Direct Estimation of Ecosystem Water Use Efficiency Using the Random Forest Machine Learning Model. | Yifei Sun, Lingxiao Huang, Junrui Wang, Meng Liu, Suchuang Di, Simin Yang, Hang Zhang, Cen Zhang, Ronglin Tang |
| 2024 | STOC | On Optimal Coreset Construction for Euclidean (k, z)-Clustering. | Lingxiao Huang, Jian Li, Xuan Wu |
| 2023 | ICDAR | MuraNet: Multi-task Floor Plan Recognition with Relation Attention. | Lingxiao Huang, Jung-Hsuan Wu, Chiching Wei, Wilson Li |
| 2023 | ICLR | Near-optimal Coresets for Robust Clustering. | Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou, Xuan Wu |
| 2023 | ICLR | Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. | Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan |
| 2023 | ICML | 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 |
| 2023 | ICML | On Coresets for Clustering in Small Dimensional Euclidean spaces. | Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu |
| 2023 | ICML | The Power of Uniform Sampling for k-Median. | Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou |
| 2023 | IGARSS | 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, Yazhen Jiang, Ronglin Tang |
| 2022 | IGARSS | A Revised MODIS-GPP Algorithm by Incorporating Seasonal Fluctuation of Maximum Light Use Efficiency for Maize and Soybean. | Lingxiao Huang, Meng Liu, Yazhen Jiang, Ronglin Tang |
| 2022 | KDD | M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. | Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu |
| 2021 | ICML | Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. | L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi |
| 2021 | IGARSS | Coupled Estimation Of daily Gross Primary Production and Evapotranspiration at 84 Global Forest Sites. | Lingxiao Huang, Meng Liu, Yazhen Jiang, Ronglin Tang |
| 2020 | AIES | Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. | Lingxiao Huang, Julia Wei, L. Elisa Celis |
| 2020 | ICML | Coresets for Clustering in Graphs of Bounded Treewidth. | Daniel N. Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu |
| 2020 | STOC | Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal. | Lingxiao Huang, Nisheeth K. Vishnoi |
| 2019 | ICML | Stable and Fair Classification. | Lingxiao Huang, Nisheeth K. Vishnoi |
| 2018 | FOCS | Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. | Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu |
| 2018 | IJCAI | Multiwinner Voting with Fairness Constraints. | L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi |
| 2017 | SODA | Stochastic | Lingxiao Huang, Jian Li |
| 2017 | WADS | Capacitated Center Problems with Two-Sided Bounds and Outliers. | Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li |
| 2016 | ESA | epsilon-Kernel Coresets for Stochastic Points. | Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang |
| 2016 | ICML | K-Means Clustering with Distributed Dimensions. | Hu Ding, Yu Liu, Lingxiao Huang, Jian Li |
| 2016 | SODA | Canonical Paths for MCMC: from Art to Science. | Lingxiao Huang, Pinyan Lu, Chihao Zhang |
| 2015 | COCOON | Approximation Algorithms for the Connected Sensor Cover Problem. | Lingxiao Huang, Jian Li, Qicai Shi |
| 2015 | ICALP | Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points. | Lingxiao Huang, Jian Li |
| 2014 | SIGMETRICS | The multi-shop ski rental problem. | Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li |