The EM algorithm for the extended finite mixture of the factor analyzers model. - Xingcai Zhou; Xinsheng Liu (Comput. Stat. Data Anal., 2008)

The Monte Carlo EM method for estimating multinomial probit latent variable models. - Xingcai Zhou; Xinsheng Liu (Comput. Stat., 2008)

Maximum Likelihood Estimation of Tobit Factor Analysis for Multivariate t-Distribution. - Xingcai Zhou; Changchun Tan (Commun. Stat. Simul. Comput., 2010)

Monte Carlo EM algorithm for two-component mixture of generalized linear random effects models with varying coefficients. - Xingcai Zhou; Changchun Tan (EMEIT, 2011)

Communication-efficient Byzantine-robust distributed learning with statistical guarantee. - Xingcai Zhou; Le Chang; Pengfei Xu; Shaogao Lv (CoRR, 2021)

Panel semiparametric quantile regression neural network for electricity consumption forecasting. - Xingcai Zhou; Jiangyan Wang (CoRR, 2021)

The Asymptotic Properties of Scad Penalized Generalized Linear Models with Adaptive Designs. - Qibing Gao; Chunhua Zhu; Xiuli Du; Xingcai Zhou; Dingxin Yin (J. Syst. Sci. Complex., 2021)

Panel semiparametric quantile regression neural network for electricity consumption forecasting. - Xingcai Zhou; Jiangyan Wang; Hongxia Wang; Jinguan Lin (Ecol. Informatics, 2022)

Uniform convergence rates for wavelet curve estimation in sup-norm loss. - Xingcai Zhou (J. Comput. Appl. Math., 2022)

Communication-efficient and Byzantine-robust distributed learning with statistical guarantee. - Xingcai Zhou; Le Chang; Pengfei Xu; Shaogao Lv (Pattern Recognit., 2023)

Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity. - Xingcai Zhou; Guang Yang (Inf. Sci., 2024)

More communication-efficient distributed sparse learning. - Xingcai Zhou; Guang Yang (Inf. Sci., 2024)

Efficient Byzantine-robust distributed inference with regularization: A trade-off between compression and adversary. - Xingcai Zhou; Guang Yang; Le Chang; Shaogao Lv (Inf. Sci., 2024)

Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink. - Xingcai Zhou; Le Chang; Jinde Cao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity. - Xingcai Zhou; Shengxian Ding; Jiangyan Wang; Rongjie Liu; Linglong Kong; Chao Huang 005 (Technometrics, 2025)