Kangning Wang

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
Convolution smoothing and non-convex regularization for support vector machine in high dimensions.
Appl. Soft Comput.
Kangning Wang, Junning Yang, Kemal Polat, Adi Alhudhaif, Xiaofei Sun
2024 J jnl
Distributed statistical learning algorithm for nonlinear regression with autoregressive errors.
Pattern Recognit.
Shaomin Li, Xiaofei Sun, Kangning Wang
2024 J jnl
Support vector machine in big data: smoothing strategy and adaptive distributed inference.
Stat. Comput.
Kangning Wang, Jin Liu, Xiaofei Sun
2023 J jnl
Distributed statistical optimization for non-randomly stored big data with application to penalized learning.
Stat. Comput.
Kangning Wang, Shaomin Li
2023 J jnl
Online renewable smooth quantile regression.
Comput. Stat. Data Anal.
Xiaofei Sun, Hongwei Wang, Chao Cai, Mei Yao, Kangning Wang
2023 J jnl
Smooth quantile regression and distributed inference for non-randomly stored big data.
Expert Syst. Appl.
Kangning Wang, Jiaojiao Jia, Kemal Polat, Xiaofei Sun, Adi Alhudhaif, Fayadh Alenezi
2022 J jnl
Communication-efficient surrogate quantile regression for non-randomly distributed system.
Inf. Sci.
Kangning Wang, Benle Zhang, Fayadh Alenezi, Shaomin Li
2022 J jnl
Efficient statistical estimation for a non-randomly distributed system with application to large-scale data neural network.
Expert Syst. Appl.
Kangning Wang, Benle Zhang, Xiaofei Sun, Shaomin Li
2022 J jnl
Renewable quantile regression for streaming datasets.
Knowl. Based Syst.
Kangning Wang, Hongwei Wang, Shaomin Li
2021 J jnl
Robust communication-efficient distributed composite quantile regression and variable selection for massive data.
Comput. Stat. Data Anal.
Kangning Wang, Shaomin Li, Benle Zhang
2021 J jnl
Robust distributed modal regression for massive data.
Comput. Stat. Data Anal.
Kangning Wang, Shaomin Li
2021 J jnl
Unified distributed robust regression and variable selection framework for massive data.
Expert Syst. Appl.
Kangning Wang
2019 J jnl
Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection.
Comput. Stat. Data Anal.
Kangning Wang, Shaomin Li, Xiaofei Sun, Lu Lin