Xingcai Zhou

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
An accelerated noise-tolerant power method for fair streaming PCA with PAFO learnability.
Inf. Sci.
Xingcai Zhou, Xiaochen Fan, Shaogao Lv
2026 J jnl
FedFask: Fast Sketching Distributed PCA for Large-Scale Federated Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Xingcai Zhou, Guang Yang, Haotian Zheng, Linglong Kong, Jinde Cao
2025 J jnl
Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink.
IEEE Trans. Neural Networks Learn. Syst.
Xingcai Zhou, Le Chang, Jinde Cao
2025 J jnl
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity.
Technometrics
Xingcai Zhou, Shengxian Ding, Jiangyan Wang, Rongjie Liu, Linglong Kong, Chao Huang
2024 J jnl
Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity.
Inf. Sci.
Xingcai Zhou, Guang Yang
2024 J jnl
Efficient Byzantine-robust distributed inference with regularization: A trade-off between compression and adversary.
Inf. Sci.
Xingcai Zhou, Guang Yang, Le Chang, Shaogao Lv
2024 J jnl
More communication-efficient distributed sparse learning.
Inf. Sci.
Xingcai Zhou, Guang Yang
2023 J jnl
Communication-efficient and Byzantine-robust distributed learning with statistical guarantee.
Pattern Recognit.
Xingcai Zhou, Le Chang, Pengfei Xu, Shaogao Lv
2022 J jnl
Panel semiparametric quantile regression neural network for electricity consumption forecasting.
Ecol. Informatics
Xingcai Zhou, Jiangyan Wang, Hongxia Wang, Jinguan Lin
2022 J jnl
Uniform convergence rates for wavelet curve estimation in sup-norm loss.
J. Comput. Appl. Math.
Xingcai Zhou
2021 J jnl
Communication-efficient Byzantine-robust distributed learning with statistical guarantee.
CoRR
Xingcai Zhou, Le Chang, Pengfei Xu, Shaogao Lv
2021 J jnl
Panel semiparametric quantile regression neural network for electricity consumption forecasting.
CoRR
Xingcai Zhou, Jiangyan Wang
2021 J jnl
The Asymptotic Properties of Scad Penalized Generalized Linear Models with Adaptive Designs.
J. Syst. Sci. Complex.
Qibing Gao, Chunhua Zhu, Xiuli Du, Xingcai Zhou, Dingxin Yin
2011 — conf
Monte Carlo EM algorithm for two-component mixture of generalized linear random effects models with varying coefficients.
EMEIT
Xingcai Zhou, Changchun Tan
2010 J jnl
Maximum Likelihood Estimation of Tobit Factor Analysis for Multivariate
Commun. Stat. Simul. Comput.
Xingcai Zhou, Changchun Tan
2008 J jnl
The EM algorithm for the extended finite mixture of the factor analyzers model.
Comput. Stat. Data Anal.
Xingcai Zhou, Xinsheng Liu
2008 J jnl
The Monte Carlo EM method for estimating multinomial probit latent variable models.
Comput. Stat.
Xingcai Zhou, Xinsheng Liu