| Differentially private SGD with non-smooth losses P Wang, Y Lei, Y Ying, H Zhang Applied and Computational Harmonic Analysis 56, 306-336, 2022 | 17 | 2022 |
| Differential privacy for sparse classification learning P Wang, H Zhang Neurocomputing 375, 91-101, 2020 | 14 | 2020 |
| Simple stochastic and online gradient descent algorithms for pairwise learning Z Yang, Y Lei, P Wang, T Yang, Y Ying Advances in Neural Information Processing Systems 34, 20160-20171, 2021 | 10 | 2021 |
| Differentially private empirical risk minimization for AUC maximization P Wang, Z Yang, Y Lei, Y Ying, H Zhang Neurocomputing 461, 419-437, 2021 | 8 | 2021 |
| Model selection with distributed SCAD penalty P Wang, H Zhang, Y Liang Journal of Applied Statistics 45 (11), 1938-1955, 2018 | 6 | 2018 |
| Distributed logistic regression with differential privacy P Wang, H Zhang Sci. Sin. Inform. doi 10, 2019 | 4 | 2019 |
| Stability and Generalization for Randomized Coordinate Descent P Wang, L Wu, Y Lei The Thirtieth International Joint Conference on Artificial Intelligence …, 2021 | 2 | 2021 |
| Stability and Generalization for Markov Chain Stochastic Gradient Methods P Wang, Y Lei, Y Ying, DX Zhou Advances in Neural Information Processing Systems, 2022 | 1 | 2022 |
| Pliable lasso for the support vector machine TQ Asenso, P Wang, H Zhang Communications in Statistics-Simulation and Computation, 1-13, 2022 | 1 | 2022 |
| Distributed Logistic Regression for Separated Massive Data P Shi, P Wang, H Zhang Big Data: 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28 …, 2019 | 1 | 2019 |
| Sparse Bayesian linear regression using generalized normal priors H Zhang, P Wang, Q Dong, P Wang International Journal of Wavelets, Multiresolution and Information …, 2017 | 1 | 2017 |
| Differentially Private Stochastic Gradient Descent with Low-Noise P Wang, Y Lei, Y Ying, DX Zhou arXiv preprint arXiv:2209.04188, 2022 | | 2022 |
Yunwen LeiHong Kong Baptist University在 hkbu.edu.hk 的电子邮件经过验证
