| 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 | 23 | 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 | 15 | 2022 |
| 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 | 13 | 2023 |
| Gaussian differential privacy on Riemannian manifolds Y Jiang, X Chang, Y Liu, L Ding, L Kong, B Jiang Advances in Neural Information Processing Systems 36, 14665-14684, 2023 | 11 | 2023 |
| 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 |
| Tuning-free estimation and inference of cumulative distribution function under local differential privacy Y Liu, Q Hu, L Kong Forty-first International Conference on Machine Learning, 2024 | 4 | 2024 |
| Analysis of Differentially Private Synthetic Data: A Measurement Error Approach Y Jiang, Y Liu, X Yan, AS Charest, L Kong, B Jiang Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21206 …, 2024 | 3 | 2024 |
| An adaptive model checking test for the functional linear model E Shi, Y Liu, K Sun, L Li, L Kong Bernoulli 31 (2), 894-921, 2025 | 2 | 2025 |
| 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, 848-862, 2021 | 2 | 2021 |
| 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 |
| Asymmetric Estimation for Varying-Coefficient Additive Model with Functional Response in Reproducing Kernel Hilbert Space Y Liu, W Tu, Y Bao, B Jiang, L Kong Statistica Sinica, 2025 | 1 | 2025 |
| Differentially Private Regularized Stochastic Convex Optimization with Heavy-Tailed Data H Xie Statistica Sinica, 2025 | 1 | 2025 |
| 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 |
| S1 Optimal Rate of Convergence under random de-sign Y Liu, W Tu, Y Bao, B Jiang, L Kong | | |
| Analysis of differentially private synthetic data: a general measurement error approach Y Jiang, Y Liu, X Yan, AS Charest, L Kong, B Jiang | | |
| Gaussian Differential Privacy Transformation: from identification to application Y Liu, K Sun, B Jiang, L Kong | | |
