| Classification with fairness constraints: A meta-algorithm with provable guarantees LE Celis, L Huang, V Keswani, NK Vishnoi Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 351 | 2019 |
| Coresets for clustering with fairness constraints L Huang, S Jiang, N Vishnoi Advances in neural information processing systems 32, 2019 | 120 | 2019 |
| Multiwinner voting with fairness constraints LE Celis, L Huang, NK Vishnoi arXiv preprint arXiv:1710.10057, 2017 | 120 | 2017 |
| Stable and fair classification L Huang, N Vishnoi International Conference on Machine Learning, 2879-2890, 2019 | 88 | 2019 |
| Coresets for clustering in euclidean spaces: importance sampling is nearly optimal L Huang, NK Vishnoi Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020 | 84 | 2020 |
| Epsilon-coresets for clustering (with outliers) in doubling metrics L Huang, SHC Jiang, J Li, X Wu 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018 | 81 | 2018 |
| Fair classification with noisy protected attributes: A framework with provable guarantees LE Celis, L Huang, V Keswani, NK Vishnoi International Conference on Machine Learning, 1349-1361, 2021 | 68* | 2021 |
| M-mix: Generating hard negatives via multi-sample mixing for contrastive learning S Zhang, M Liu, J Yan, H Zhang, L Huang, X Yang, P Lu Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 39 | 2022 |
| Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow J Li, Y Liu, L Huang, P Tang Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 37 | 2014 |
| Coresets for clustering in graphs of bounded treewidth D Baker, V Braverman, L Huang, SHC Jiang, R Krauthgamer, X Wu International Conference on Machine Learning, 569-579, 2020 | 36 | 2020 |
| Stochastic k-Center and j-Flat-Center Problems L Huang, J Li Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 26 | 2017 |
| K-means clustering with distributed dimensions H Ding, Y Liu, L Huang, J Li International Conference on Machine Learning, 1339-1348, 2016 | 26 | 2016 |
| Approximation algorithms for the connected sensor cover problem L Huang, J Li, Q Shi International computing and combinatorics conference, 183-196, 2015 | 25* | 2015 |
| The multi-shop ski rental problem L Ai, X Wu, L Huang, L Huang, P Tang, J Li The 2014 ACM international conference on Measurement and modeling of …, 2014 | 25 | 2014 |
| Coresets for time series clustering L Huang, K Sudhir, N Vishnoi Advances in Neural Information Processing Systems 34, 22849-22862, 2021 | 24 | 2021 |
| Canonical paths for MCMC: from art to science L Huang, P Lu, C Zhang Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016 | 22 | 2016 |
| A roadmap for big model S Yuan, H Zhao, S Zhao, J Leng, Y Liang, X Wang, J Yu, X Lv, Z Shao, ... arXiv preprint arXiv:2203.14101, 2022 | 20 | 2022 |
| -Kernel Coresets for Stochastic Points L Huang, J Li, JM Phillips, H Wang arXiv preprint arXiv:1411.0194, 2014 | 20 | 2014 |
| Coresets for regressions with panel data L Huang, K Sudhir, N Vishnoi Advances in Neural Information Processing Systems 33, 325-337, 2020 | 15 | 2020 |
| Approximating the expected values for combinatorial optimization problems over stochastic points L Huang, J Li International Colloquium on Automata, Languages, and Programming, 910-921, 2015 | 15 | 2015 |
Jian LiTsinghua UniversityVerified email at mail.tsinghua.edu.cn
