百晓学者学者目录

宋允全

副教授、博士生导师、硕士生导师、讲师，中国石油大学(华东)

精选作品

期刊论文

2026

Optimal transport-based transfer learning with incomplete data: Bridging the gap across omains

Minmin Zhan, Yunquan Song, Fanyun Meng

Expert Systems With Applications，Vol. 295

DOI

2026

Transfer learning under Box-Cox transformation linear regressive model

Haixu Bian, Yuxing Wang, Yunquan Song

Journal of Computational and Applied Mathematics

DOI

2026

Selective transfer learning for spatial Poisson models with response measurement error

Kailin Liu, Yunquan Song

Expert systems with applications

DOI

2026

Transfer learning for spatial stochastic frontier model

Yixuan Li, Yunquan Song, Wei-Yu Li

Spatial Economic Analysis

DOI

2026

Transfer learning for spatial autoregressive models with missing responses

Yong-Qi Wang, Yunquan Song

Spatial Statistics

DOI

2026

Quantile-Stage model averaging transfer learning for high-dimensional spatial expected shortfall regression

Yong-Qi Wang, Yunquan Song

Spatial Statistics

DOI

2026

Bayesian Transfer Learning of Spatial Lag Stochastic Frontier Analysis

Yitao Zhu, Yunquan Song

Networks and Spatial Economics

DOI

2026

Transfer learning for stochastic frontier models with big data streams

Xiaorui Bai, Yunquan Song

Statistics

DOI

2026

Robust transfer learning for spatial expectile regression: linear and semi-parametric additive models

Yongqi Wang, Yunquan Song

Statistical Papers

DOI

2026

Spatial autoregressive hybrid quantile–expectile regression

Xinyue Liu, Yunquan Song

Spatial Statistics

DOI

2026

Model Averaging for Stochastic Frontier Models with Differential Privacy

Haoran Li, Yunquan Song, Haiping Zhao

Computational Economics

DOI

2026

Hybrid Quantile-Expectile Error Layers for Technical-Efficiency Recovery in Stochastic Frontier Analysis

Shengming Wang, Yunquan Song, Juan Yu

Entropy

DOI

2026

Transfer learning for Box–Cox transformed spatial autoregressive models

Haixu Bian, Yunquan Song

Statistical Papers

DOI

2026

Transfer learning for Box–Cox spatial autoregressive models with final-stage RDP-accounted Gaussian-perturbed fine-tuning

Jinya Liang, Yunquan Song

Spatial Statistics

DOI

2026

Robust variable selection for spatial point processes via transfer learning

S W, Yunquan Song

Statistics and Computing

DOI

2026

Deep learning of spatial quantile autoregressive model under nonparametric endogenous effect

Yunquan Song, Shuyu Xiao, Anqi Wang

Spatial Statistics

DOI

2026

Transfer Learning for High-dimensional Spatial Durbin Model

Shuyu Xiao, Yunquan Song, Hui Zhou

Networks and Spatial Economics

DOI

2026

Transfer Learning for Spatial Durbin Stochastic Frontier Model

Jiaqi Lv, Yunquan Song

Networks and Spatial Economics

DOI

2026

Variable selection for expectile regression in nonparametric spatial additive models

Shuyu Xiao, Rui Yang, Yunquan Song

Spatial Statistics

DOI

2026

Transfer learning for joint mean and variance model

Yue Wang, Yunquan Song, Rui Liang Yang

Statistics and Computing

DOI

2026

Deep Learning for Variable Selection in Nonparametric Spatial Autoregressive Tobit Models

Yiming Hou, Yunquan Song

Networks and Spatial Economics

DOI

2026

Transfer Learning for High‐Dimensional Beta Regression Models

Boshuo Wang, Yunquan Song

Statistical Analysis and Data Mining The ASA Data Science Journal

DOI

2025

Deep Learning for Spatial Additive Stochastic Frontier Model with Nonparametric Spatial Effects

Jianxin Lv, Yunquan Song, Zhijian Wang

Computational Economics

DOI

2025

Privacy-Preserving Statistical Inference for Stochastic Frontier Analysis

Mengxiang Quan, Yunquan Song, Xinmin Wang

Axioms

DOI

2025

Information-Based Optimal Subdata Selection for Large Sample Spatial Autoregression

Yunquan Song, Sijia Shen, Yaqi Liu

Communications in Mathematics and Statistics

DOI

2025

Transfer learning with high-dimensional multiplicative models: least product relative error estimation approach

Rui Liang Yang, Yunquan Song

Statistical Papers

DOI

2025

Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models

Hejun Wei, Tian Jin, Yunquan Song

Axioms

DOI

2025

Transfer Learning of High-Dimensional Stochastic Frontier Model via Elastic Net

Jiahao Chen, Wenjun Chen, Yunquan Song

Axioms

DOI

2025

Transfer learning for high dimensional spatial autoregressive model

Yunquan Song, Xuan Chen, Rui Liang Yang, Yijun Li

Spatial Statistics

DOI

2025

Robust Variable Selection Method with Prior Information for Spatial Quantile Autoregressive Model

Yunquan Song, Rui Liang Yang, Dongmei He

Networks and Spatial Economics

DOI

2025

Variable Selection for Nonparametric Spatial Expectile Regression Using Deep Neural Networks

Rui Liang Yang, Yunquan Song

Networks and Spatial Economics

DOI

2025

Deep Learning Based Estimation in Higher-Order Semiparametric Additive Stochastic Frontier Model

Wanqing Wu, Yunquan Song, Zhijian Wang

Networks and Spatial Economics

DOI

2025

Variable selection for nonparametric spatial additive autoregressive model via deep learning

Jie Li, Yunquan Song

Statistical Papers

DOI

2025

Transfer learning for semiparametric varying coefficient spatial autoregressive models

Xuan Chen, Yunquan Song

Statistical Papers

DOI

2025

An improved EM algorithm for variable selection with missing data in spatial error models

Yuanfeng Wang, Yunquan Song

Journal of Statistical Computation and Simulation

DOI

2024

Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response

Yuanfeng Wang, Yunquan Song

Spatial Statistics

DOI

2024

Rapid outlier detection, model selection and variable selection using penalized likelihood estimation for general spatial models

Yunquan Song, Ming-Lu Fang, Yuanfeng Wang, Yiming Hou

Spatial Statistics

DOI

2024

Local Walsh-average-based Estimation and Variable Selection for Spatial Single-index Autoregressive Models

Yunquan Song, Hang Su, Minmin Zhan

Networks and Spatial Economics

DOI

2024

Huber Loss Meets Spatial Autoregressive Model: A Robust Variable Selection Method with Prior Information

Yunquan Song, Minmin Zhan, Yue Zhang, Yongxin Liu

Networks and Spatial Economics

DOI

2024

Transfer learning for linear regression with differential privacy

Yiming Hou, Yunquan Song, Zhijian Wang

Complex & Intelligent Systems

DOI

2024

Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method

Rui Liang Yang, Yunquan Song

Statistical Analysis and Data Mining The ASA Data Science Journal

DOI

2024

Variable selection of nonparametric spatial autoregressive models via deep learning

Xiaodi Zhang, Yunquan Song

Spatial Statistics

DOI

2024

Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model

Jie Li, Yunquan Song, Ling Jian

Statistics and Computing

DOI

2024

Transfer Learning for Logistic Regression with Differential Privacy

Yiming Hou, Yunquan Song

Axioms

DOI

2024

Local Walsh-average regression for spatial autoregression single index varying coefficient models

Wenhui Yang, Yunquan Song

Communication in Statistics- Theory and Methods

DOI

2024

Transfer learning for sparse variable selection in high-dimensional regression from quadratic measurement

Qingxu Shang, Jie Li, Yunquan Song

Knowledge-Based Systems

DOI

2024

Deep learning for higher-order nonparametric spatial autoregressive model

Zitong Li, Yunquan Song, Ling Jian

Applied Intelligence

DOI

2024

Parameter Estimation in Spatial Autoregressive Models with Missing Data and Measurement Errors

T. Li, Zhikang Zhang, Yunquan Song

Axioms

DOI

2024

Incremental transfer learning for spatial autoregressive model with linear constraints

Jie Li, Yunquan Song

Spatial Statistics

DOI

2024

Privacy-preserving parametric inference for spatial autoregressive model

Zhijian Wang, Yunquan Song

Test

DOI

2024

Robust transfer learning for high-dimensional regression with linear constraints

Xuan Chen, Yunquan Song, Yuanfeng Wang

Journal of Statistical Computation and Simulation

DOI

2024

Transfer learning with high dimensional composite quantile regression

Jie Li, Yunquan Song

Journal of Statistical Computation and Simulation

DOI

2024

Robust variable selection with exponential squared loss for the partially linear varying coefficient spatial autoregressive model

Jialei Yu, Yunquan Song, Jiang Du

Environmental and Ecological Statistics

DOI

2024

Robust transfer learning for high-dimensional quantile regression model with linear constraints

Longjie Cao, Yunquan Song

Applied Intelligence

DOI

2023

General spatial model meets adaptive shrinkage generalized moment estimation: Simultaneous model and moment selection

Yunquan Song, Ya-Qi Liu, Xiao-Di Zhang, Yuanfeng Wang

Spatial Statistics

DOI

2023

Nonparametric spatial autoregressive model using deep neural networks

Shuyue Xiao, Yunquan Song, Zhijian Wang

Spatial Statistics

DOI

2023

Robust Variable Selection with Exponential Squared Loss for the Spatial Durbin Model

Zhongyang Liu, Yunquan Song, Yi Cheng

Entropy

DOI

2023

Robust Variable Selection with Exponential Squared Loss for the Spatial Single-Index Varying-Coefficient Model

Yezi Wang, Zhijian Wang, Yunquan Song

Entropy

DOI

2023

Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect

Zhijian Wang, Yunquan Song

Spatial Statistics

DOI

2023

Robust Variable Selection with Exponential Squared Loss for the Spatial Error Model

Shida Ma, Yiming Hou, Yunquan Song, Feng Zhou

Axioms

DOI

2023

Two-stage Walsh-average-based robust estimation and variable selection for partially linear additive spatial autoregressive models

Zitong Li, Yunquan Song

Brazilian Journal of Probability and Statistics

DOI

2023

Simultaneous outlier detection and variable selection for spatial Durbin model

Yi Cheng, Yunquan Song

Brazilian Journal of Probability and Statistics

DOI

2022

Kernel-based online regression with canal loss

Xijun Liang, Zhipeng Zhang, Yunquan Song, Ling Jian

European Journal Of Operational Research，Vol. 297, No. 1

DOI

2022

Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates

Yunquan Song, Yaqing Liu, Hang Su

Mathematics

DOI

2022

Robust Variable Selection Based on Penalized Composite Quantile Regression for High-Dimensional Single-Index Models

Yunquan Song, Zi-Tong Li, Ming-Lu Fang

Mathematics

DOI

2022

Exponential squared loss based robust variable selection of AR models

Ya-Xi Wu, Yunquan Song, Xijun Liang, Yu-Jie Gai

Brazilian Journal of Probability and Statistics

DOI

2022

Interquantile shrinkage in spatial additive autoregressive models

Jia-Wei Hou, Yunquan Song

Test (Madrid)

DOI

2022

A Robust Variable Selection Method for Sparse Online Regression via the Elastic Net Penalty

Wen-Tao Wang, Jiaxuan Liang, Rong Liu, Yunquan Song, Min Zhang

Mathematics

DOI

2022

Variable Selection for Spatial Logistic Autoregressive Models

Jiaxuan Liang, Yi Cheng, Yuqi Su, Shuyue Xiao, Yunquan Song

Mathematics

DOI

2022

Variable Selection of Spatial Logistic Autoregressive Model with Linear Constraints

Yunquan Song, Y. Su, Zhijian Wang

Entropy

DOI

2021

Empirical likelihood for varying coefficient partially nonlinear model with missing responses

Liqi Xia, Xiuli Wang, Pei-Xin Zhao, Yunquan Song

DOI

2021

Robust variable selection with exponential squared loss for the spatial autoregressive model

Yunquan Song, Xijun Liang, Yanji Zhu, Lu Lin

Computational Statistics & Data Analysis

DOI

2020

An efficient estimation for the parameter in additive partially linear models with missing covariates

Xiuli Wang, Yunquan Song, Shu-Xia Zhang

Journal of the Korean Statistical Society

DOI

2019

Nonparametric Regression Combining Linear Structure

Yan-Li Zhang, Yunquan Song, Lu Lin, Xiuli Wang

Wuhan University Journal of Natural Sciences

DOI

2019

Laplace error penalty-based M-type model detection for a class of high dimensional semiparametric models

Ling Jian, Xiao-yu Ma, Yunquan Song, Shihua Luo

Journal of Computational and Applied Mathematics

DOI

2019

Robust inference for estimating equations with nonignorably missing data based on SIR algorithm

Yunquan Song, Yanji Zhu, Xiuli Wang, Lu Lin

Journal of Statistical Computation and Simulation

DOI

2018

Online Newton Step Algorithm with Estimated Gradient

Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu

arXiv.org

2018

Significance test of clustering under high dimensional setting with applications to cancer data

Ping Dong, Lu Lin, Yunquan Song

Journal of Statistical Computation and Simulation

DOI

2017

Handling estimating equation with nonignorably missing data based on SIR algorithm

Xiuli Wang, Yunquan Song, Lu Lin

Journal of Computational and Applied Mathematics

DOI

2017

Rapid penalized likelihood-based outlier detection via heteroskedasticity test

Yunquan Song, Ping Dong, Xiuli Wang, Lu Lin

DOI

2016

Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model

Yunquan Song, Ling Jian, Lu Lin

Journal of Computational and Applied Mathematics

DOI

2016

Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model

Yunquan Song, Lu Lin, Ling Jian

Communications in nonlinear science & numerical simulation

DOI

2014

若干多元统计模型的适应性统计推断

宋允全

《山东大学》

2014

Upper expectation parametric regression

Lu Lin, Ping Dong, Yunquan Song, Lixing Zhu

DOI

2014

Independent feature screening for ultrahigh-dimensional models with interactions

Yunquan Song, Xue-Hu Zhu, Lu Lin

DOI

2014

Semiparametric inference based on weighted estimating equations for additive hazards model with covariates missing at random

Xiaolin Chen, Yunquan Song

2014

Moment Conditions Selection Based on Adaptive Penalized Empirical Likelihood

Yunquan Song

DOI

2014

Local linear-additive estimation for multiple nonparametric regressions

Lu Lin, Yunquan Song, Zhaolei Liu

Journal of Multivariate Analysis

DOI

2013

Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model

Yunquan Song, Ling Jian, Lu Lin

Journal of Applied Mathematics

DOI

2012

Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System

Ling Jian, Shu-Qian Shen, Yunquan Song

Journal of Applied Mathematics

DOI

2009

两个不同损失函数下一类分布族参数的Minimax估计

任海平，宋允全

《鲁东大学学报(自然科学版)》

2008

一类随机环境下非线性自回归条件异方差模型的遍历性

宋允全，渐令

《云南大学学报(自然科学版)》

2005

非线形模型方差的贝叶斯估计(英文)

王志忠，宋允全

《云南大学学报(自然科学版)》

会议论文

2011

Estimation of parameter of Exponential Distribution under a Asymmetric Precautionary Loss Function

Yunquan Song, Zheng Chai

Proceedings of 2011 International Conference on Applied Social Science(ICASS 2011 V2)

预印本

2024

Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors

Zhenhao Zhang, Yunquan Song

arXiv preprint

2021

Interquantile Shrinkage in Spatial Quantile Autoregressive Regression models

Ping Dong, Jiawei Hou, Yunquan Song

arXiv preprint

研究方向

大数据统计建模高维、网络与差分隐私统计机器学习经济统计模型

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