| Complete moment convergence of moving average processes under φ-mixing assumptions X Zhou Statistics & Probability Letters 80 (5-6), 285-292, 2010 | 62 | 2010 |
| A general framework for quantile estimation with incomplete data P Han, L Kong, J Zhao, X Zhou Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019 | 53 | 2019 |
| On the strong laws for weighted sums of-mixing random variables XC Zhou, CC Tan, JG Lin Journal of Inequalities and Applications 2011 (1), 157816, 2011 | 42 | 2011 |
| 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 | 31 | 2019 |
| Asymptotic properties of wavelet estimators in semiparametric regression models under dependent errors X Zhou, J Lin Journal of Multivariate Analysis 122, 251-270, 2013 | 29 | 2013 |
| Panel semiparametric quantile regression neural network for electricity consumption forecasting X Zhou, J Wang, H Wang, J Lin Ecological Informatics 67, 101489, 2022 | 27 | 2022 |
| Communication-efficient and byzantine-robust distributed learning with statistical guarantee X Zhou, L Chang, P Xu, S Lv Pattern Recognition 137, 109312, 2023 | 14 | 2023 |
| Asymptotic properties of wavelet-based estimator in nonparametric regression model with weakly dependent processes X Zhou, J Lin, CM Yin Journal of Inequalities and Applications 2013 (1), 261, 2013 | 13 | 2013 |
| The EM algorithm for the extended finite mixture of the factor analyzers model X Zhou, X Liu Computational statistics & data analysis 52 (8), 3939-3953, 2008 | 12 | 2008 |
| Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity X Zhou, G Yang Information Sciences 661, 120167, 2024 | 10 | 2024 |
| Research on an improved detection algorithm based on yolov5s for power line self-exploding insulators C Hu, S Min, X Liu, X Zhou, H Zhang Electronics 12 (17), 3675, 2023 | 10 | 2023 |
| Moment consistency of estimators in partially linear models under NA samples X Zhou, X Liu, S Hu Metrika 72 (3), 415-432, 2010 | 10 | 2010 |
| Asymptotics of a wavelet estimator in the nonparametric regression model with repeated measurements under a NA error process X Zhou, J Lin Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie …, 2015 | 8 | 2015 |
| The Monte Carlo EM method for estimating multinomial probit latent variable models X Zhou, X Liu Computational Statistics 23 (2), 277-289, 2008 | 8 | 2008 |
| Communication-efficient nonconvex federated learning with error feedback for uplink and downlink X Zhou, L Chang, J Cao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 7 | 2023 |
| Reproducing kernel‐based functional linear expectile regression M Liu, M Pietrosanu, P Liu, B Jiang, X Zhou, L Kong, ... Canadian Journal of Statistics 50 (1), 241-266, 2022 | 7 | 2022 |
| Panel quantile regression neural network for electricity consumption forecasting in China: a new framework X Zhou, J Wang Energy Sources, Part B: Economics, Planning, and Policy 16 (5), 420-442, 2021 | 7 | 2021 |
| Wavelet estimation in varying coefficient models for censored dependent data X Zhou, Y Xu, J Lin Statistics & Probability Letters 122, 179-189, 2017 | 7 | 2017 |
| Wavelet estimator in nonparametric regression model with dependent error’s structure XC Zhou, JG Lin Communications in Statistics-Theory and Methods 43 (22), 4707-4722, 2014 | 7 | 2014 |
| On complete convergence for strong mixing sequences X Zhou, J Lin Stochastics An International Journal of Probability and Stochastic Processes …, 2013 | 6 | 2013 |
