| Wavelet-based LASSO in functional linear quantile regression Y Wang, L Kong, B Jiang, X Zhou, S Yu, L Zhang, G Heo Journal of Statistical Computation and Simulation 89 (6), 1111-1130, 2019 | 18 | 2019 |
| 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 |
| Testing independence of functional variables by angle covariance T Lai, Z Zhang, Y Wang, L Kong Journal of Multivariate Analysis 182, 104711, 2021 | 9 | 2021 |
| Sample average approximation for stochastic optimization with dependent data: Performance guarantees and tractability Y Wang, B Pan, W Tu, P Liu, B Jiang, C Gao, W Lu, S Jui, L Kong Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3859-3867, 2022 | 8 | 2022 |
| A kernel-based measure for conditional mean dependence T Lai, Z Zhang, Y Wang Computational Statistics & Data Analysis 160, 107246, 2021 | 7 | 2021 |
| Testing independence and goodness-of-fit jointly for functional linear models T Lai, Z Zhang, Y Wang Journal of the Korean Statistical Society 50, 380-402, 2021 | 6 | 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 |
| Functional Linear Regression for Partially Observed Functional Data Y Wang, T Lai, B Jiang, L Kong, Z Zhang Advances and Innovations in Statistics and Data Science, 137-158, 2022 | | 2022 |
| Partial Functional Linear Models with ARCH Errors Y Wang, T Xie, Z Zhang Open Journal of Statistics 8 (2), 345-361, 2018 | | 2018 |
| 相依误差下部分函数型线性模型的估计 王亚飞， 杜江， 张忠占 应用数学学报 40 (1), 49-65, 2017 | | 2017 |
Linglong KongProfessor, Canada Research Chair in Statistical Learning, UAlberta, and Canada CIFAR AI Chair, AmiiVerified email at ualberta.ca
