Quantile-regression-based clustering for panel data Y Zhang, HJ Wang, Z Zhu Journal of Econometrics 213 (1), 54-67, 2019 | 68 | 2019 |
Robust subgroup identification Y Zhang, HJ Wang, Z Zhu Statistica Sinica 29 (4), 1873-1889, 2019 | 30 | 2019 |
Conformal off-policy prediction Y Zhang, C Shi, S Luo International Conference on Artificial Intelligence and Statistics, 2751-2768, 2023 | 12 | 2023 |
Single-index thresholding in quantile regression Y Zhang, HJ Wang, Z Zhu Journal of the American Statistical Association 117 (540), 2222-2237, 2022 | 12 | 2022 |
Clusterwise functional linear regression models T Li, X Song, Y Zhang, H Zhu, Z Zhu Computational Statistics & Data Analysis 158, 107192, 2021 | 9 | 2021 |
Functional additive quantile regression Y Zhang, H Lian, G Li, Z Zhu Statistica Sinica 31 (3), 1331-1351, 2021 | 6 | 2021 |
An efficient tensor regression for high-dimensional data Y Si, Y Zhang, Y Cai, C Liu, G Li arXiv preprint arXiv:2205.13734, 2022 | 5 | 2022 |
Statistical rates of convergence for functional partially linear support vector machines for classification Y Zhang, YY Zhao, H Lian Journal of Machine Learning Research 23 (156), 1-24, 2022 | 4 | 2022 |
Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models H Xu, Y Zhang Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 1 | 2023 |
Quantile index regression Y Zhang, Y Si, G Li, CL Tsai arXiv preprint arXiv:2111.03223, 2021 | 1 | 2021 |
Sketched quantile additive functional regression Y Zhang, H Lian Neurocomputing 461, 17-26, 2021 | | 2021 |
Supplement of Single-index thresholding in quantile regression Y Zhang, HJ Wang, Z Zhu | | |