| Damped Anderson mixing for deep reinforcement learning: Acceleration, convergence, and stabilization K Sun, Y Wang, Y Liu, B Pan, S Jui, B Jiang, L Kong Advances in Neural Information Processing Systems 34, 3732-3743, 2021 | 12 | 2021 |
| Identification, amplification and measurement: A bridge to gaussian differential privacy Y Liu, K Sun, B Jiang, L Kong Advances in Neural Information Processing Systems 35, 11410-11422, 2022 | 8 | 2022 |
| Interpolation and duality of generalized grand Morrey spaces on quasi-metric measure spaces Y Liu, W Yuan Czechoslovak Mathematical Journal 67, 715-732, 2017 | 7 | 2017 |
| M-estimation in low-rank matrix factorization: a general framework W Tu, P Liu, J Zhao, Y Liu, L Kong, G Li, B Jiang, G Tian, H Yao 2019 IEEE international conference on data mining (ICDM), 568-577, 2019 | 6 | 2019 |
| Online local differential private quantile inference via self-normalization Y Liu, Q Hu, L Ding, L Kong International Conference on Machine Learning, 21698-21714, 2023 | 3 | 2023 |
| An adaptive model checking test for functional linear model E Shi, Y Liu, K Sun, L Li, L Kong arXiv preprint arXiv:2204.01831, 2022 | 2 | 2022 |
| Nonsmooth low-rank matrix recovery: methodology, theory and algorithm W Tu, P Liu, Y Liu, G Li, B Jiang, L Kong, H Yao, S Jui Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1, 848-862, 2022 | 2 | 2022 |
| Sparse multicategory generalized distance weighted discrimination in ultra-high dimensions T Su, Y Wang, Y Liu, WG Branton, E Asahchop, C Power, B Jiang, L Kong, ... Entropy 22 (11), 1257, 2020 | 2 | 2020 |
| Optimal Smooth Approximation for Quantile Matrix Factorization P Liu, Y Liu, R Zhu, L Kong, B Jiang, D Niu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| Analysis of differentially private synthetic data: a general measurement error approach Y Jiang, Y Liu, X Yan, AS Charest, L Kong, B Jiang | | 2022 |
