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2020 – today
- 2024
[j10]Xingcai Zhou, Guang Yang:
Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity. Inf. Sci. 661: 120167 (2024)- [j9]Xingcai Zhou, Guang Yang:
More communication-efficient distributed sparse learning. Inf. Sci. 668: 120523 (2024) - [j8]Xingcai Zhou, Guang Yang, Le Chang, Shaogao Lv
:
Efficient Byzantine-robust distributed inference with regularization: A trade-off between compression and adversary. Inf. Sci. 678: 121010 (2024) - 2023
- [j7]Xingcai Zhou, Le Chang, Pengfei Xu, Shaogao Lv:
Communication-efficient and Byzantine-robust distributed learning with statistical guarantee. Pattern Recognit. 137: 109312 (2023) - 2022
- [j6]Xingcai Zhou, Jiangyan Wang, Hongxia Wang, Jinguan Lin:
Panel semiparametric quantile regression neural network for electricity consumption forecasting. Ecol. Informatics 67: 101489 (2022) - [j5]Xingcai Zhou:
Uniform convergence rates for wavelet curve estimation in sup-norm loss. J. Comput. Appl. Math. 400: 113752 (2022) - 2021
- [j4]Qibing Gao, Chunhua Zhu, Xiuli Du, Xingcai Zhou, Dingxin Yin:
The Asymptotic Properties of Scad Penalized Generalized Linear Models with Adaptive Designs. J. Syst. Sci. Complex. 34(2): 759-773 (2021) - [i2]Xingcai Zhou, Le Chang, Pengfei Xu, Shaogao Lv:
Communication-efficient Byzantine-robust distributed learning with statistical guarantee. CoRR abs/2103.00373 (2021) - [i1]Xingcai Zhou, Jiangyan Wang:
Panel semiparametric quantile regression neural network for electricity consumption forecasting. CoRR abs/2103.00711 (2021)
2010 – 2019
- 2011
- [c1]Xingcai Zhou, Changchun Tan:
Monte Carlo EM algorithm for two-component mixture of generalized linear random effects models with varying coefficients. EMEIT 2011: 17-20 - 2010
- [j3]Xingcai Zhou, Changchun Tan:
Maximum Likelihood Estimation of Tobit Factor Analysis for Multivariate t-Distribution. Commun. Stat. Simul. Comput. 39(1): 1-16 (2010)
2000 – 2009
- 2008
- [j2]Xingcai Zhou, Xinsheng Liu:
The EM algorithm for the extended finite mixture of the factor analyzers model. Comput. Stat. Data Anal. 52(8): 3939-3953 (2008) - [j1]Xingcai Zhou, Xinsheng Liu:
The Monte Carlo EM method for estimating multinomial probit latent variable models. Comput. Stat. 23(2): 277-289 (2008)
Coauthor Index
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