Xingcai Zhou

Nanjing Audit University — China

Mathematics · Physical Sciences

10h-index358citations62works1.32yr avg
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Research Topics

Statistical Methods and Inference(32), Bayesian Methods and Mixture Models(14), Probability and Risk Models(13), Statistical Methods and Bayesian Inference(12), Stochastic processes and statistical mechanics(7)

Publications62 total

FedFask: Fast Sketching Distributed PCA for Large-Scale Federated Data
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025
Conformal Inference For Missing Data under Multiple Robust Learning
arXiv (Cornell University)·2025Open Access
Functional Linear Operator Quantile Regression for Sparse Longitudinal Data
Statistica Sinica·2025Open Access
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity
Technometrics·2024· 2 cited
Shape Mediation Analysis in Alzheimer's Disease Studies
Statistics in Medicine·2024· 1 citedOpen Access
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models
Stat·2024Open Access
Efficient Byzantine-robust distributed inference with regularization: A trade-off between compression and adversary
Information Sciences·2024
Empirical likelihood M‐estimation for the varying‐coefficient model with functional response
Scandinavian Journal of Statistics·2024Open Access
More communication-efficient distributed sparse learning
Information Sciences·2024
Distributed Bootstrap Simultaneous Inference for High-Dimensional Quantile Regression
Mathematics·2024· 1 citedOpen Access
Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity
Information Sciences·2024· 10 cited
Confounder adjustment in single index function-on-scalar regression model
Electronic Journal of Statistics·2024· 1 citedOpen Access
Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink
IEEE Transactions on Neural Networks and Learning Systems·2023· 7 cited
Research on an Improved Detection Algorithm Based on YOLOv5s for Power Line Self-Exploding Insulators
Electronics·2023· 10 citedOpen Access
Communication-efficient and Byzantine-robust distributed learning with statistical guarantee
Pattern Recognition·2023· 11 cited
ADMM-Based Differential Privacy Learning for Penalized Quantile Regression on Distributed Functional Data
Mathematics·2022· 6 citedOpen Access
Communication-Efficient Distributed Learning for High-Dimensional Support Vector Machines
Mathematics·2022· 1 citedOpen Access
Functional Response Quantile Regression Model
Statistica Sinica·2022· 2 cited
Reproducing kernel‐based functional linear expectile regression
Canadian Journal of Statistics·2021Open Access
Panel semiparametric quantile regression neural network for electricity consumption forecasting
Ecological Informatics·2021
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Frequent Co-authors

Jin‐Guan Lin(18), Linglong Kong(4), Changchun Tan(4), Chao Huang(4), Xinsheng Liu(3), Shengxian Ding(3), Jiangyan Wang(3), Rongjie Liu(3), Le Chang(2), Shaogao Lv(2), Zhu Fang-xia(2), Dehan Kong(2), Rohana J. Karunamuni(2), Chunhua Zhu(2), Peisong Han(1), Jiwei Zhao(1), Yafei Wang(1), Bei Jiang(1), Shimei Yu(1), Li Zhang(1)