Xingcai Zhou

According to our database, Xingcai Zhou authored at least 17 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

FedFask: Fast Sketching Distributed PCA for Large-Scale Federated Data.

Xingcai Zhou, Guang Yang, Haotian Zheng, Linglong Kong, Jinde Cao

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

An accelerated noise-tolerant power method for fair streaming PCA with PAFO learnability.

Xingcai Zhou, Xiaochen Fan, Shaogao Lv

Inf. Sci., 2026

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

Technometrics, April, 2025

Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink.

Xingcai Zhou, Le Chang, Jinde Cao

IEEE Trans. Neural Networks Learn. Syst., January, 2025

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

More communication-efficient distributed sparse learning.

Xingcai Zhou, Guang Yang

Inf. Sci., 2024

Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity.

Xingcai Zhou, Guang Yang

Inf. Sci., 2024

2023

Communication-efficient and Byzantine-robust distributed learning with statistical guarantee.

Xingcai Zhou, Le Chang, Pengfei Xu, Shaogao Lv

Pattern Recognit., May, 2023

2022

Uniform convergence rates for wavelet curve estimation in sup-norm loss.

Xingcai Zhou

J. Comput. Appl. Math., 2022

Panel semiparametric quantile regression neural network for electricity consumption forecasting.

Xingcai Zhou, Jiangyan Wang, Hongxia Wang, Jinguan Lin

Ecol. Informatics, 2022

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

CoRR, 2021

Communication-efficient Byzantine-robust distributed learning with statistical guarantee.

Xingcai Zhou, Le Chang, Pengfei Xu, Shaogao Lv

CoRR, 2021

2011

Monte Carlo EM algorithm for two-component mixture of generalized linear random effects models with varying coefficients.

Xingcai Zhou, Changchun Tan

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2010

Maximum Likelihood Estimation of Tobit Factor Analysis for Multivariate <i>t</i>-Distribution.

Xingcai Zhou, Changchun Tan

Commun. Stat. Simul. Comput., 2010

2008

The Monte Carlo EM method for estimating multinomial probit latent variable models.

Xingcai Zhou, Xinsheng Liu

Comput. Stat., 2008

The EM algorithm for the extended finite mixture of the factor analyzers model.

Xingcai Zhou, Xinsheng Liu

Comput. Stat. Data Anal., 2008