Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model. - Yunquan Song; Ling Jian; Lu Lin 002 (J. Appl. Math., 2013)

Local linear-additive estimation for multiple nonparametric regressions. - Lu Lin 002; Yunquan Song; Zhao Liu (J. Multivar. Anal., 2014)

Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model. - Yunquan Song; Lu Lin 002; Ling Jian (Commun. Nonlinear Sci. Numer. Simul., 2016)

Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model. - Yunquan Song; Ling Jian; Lu Lin 002 (J. Comput. Appl. Math., 2016)

A chunk updating LS-SVMs based on block Gaussian elimination method. - Xiaoxin Song; Ling Jian; Yunquan Song (Appl. Soft Comput., 2017)

Handling estimating equation with nonignorably missing data based on SIR algorithm. - Xiuli Wang; Yunquan Song; Lu Lin 002 (J. Comput. Appl. Math., 2017)

Online Newton Step Algorithm with Estimated Gradient. - Binbin Liu; Jundong Li; Yunquan Song; Xijun Liang; Ling Jian; Huan Liu 001 (CoRR, 2018)

A Noise-Resilient Online Learning Algorithm for Scene Classification. - Ling Jian; Fuhao Gao; Peng Ren 001; Yunquan Song; Shihua Luo (Remote. Sens., 2018)

Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge. - Xijun Liang; Zongjin Zhen; Yunquan Song; Ling Jian; Dongmei Song (IEEE Access, 2019)

Laplace error penalty-based M-type model detection for a class of high dimensional semiparametric models. - Ling Jian; Xiaoyu Ma; Yunquan Song; Shihua Luo (J. Comput. Appl. Math., 2019)

Temporal-Difference Spatial Sampling and Aggregating Graph Neural Network for Crowd Flow Forecasting. - Xiaojie Bu; Zebing Wei; Zhishuai Li; Xiao Wang 002; Yuanyuan Chen; Yunquan Song; Yisheng Lv (DTPI, 2021)

Robust variable selection with exponential squared loss for the spatial autoregressive model. - Yunquan Song; Xijun Liang; Yanji Zhu; Lu Lin 002 (Comput. Stat. Data Anal., 2021)

Stationary distribution and extinction of a stochastic SVEIS epidemic model incorporating Ornstein-Uhlenbeck process. - Yunquan Song; Xinhong Zhang (Appl. Math. Lett., 2022)

Kernel-based online regression with canal loss. - Xijun Liang; Zhipeng Zhang; Yunquan Song; Ling Jian (Eur. J. Oper. Res., 2022)

Variable Selection of Spatial Logistic Autoregressive Model with Linear Constraints. - Yunquan Song; Yuqi Su; Zhijian Wang (Entropy, 2022)

A Sensor Fault Diagnosis Method for Single-Phase Three-Level Rectifier Used in Traction Systems. - Hongwei Tao; Yunjun Yu; Yunquan Song; Jiawen Hu; Wei Xu; Chaohao Yu (SAFEPROCESS, 2023)

Robust Variable Selection with Exponential Squared Loss for the Spatial Durbin Model. - Zhongyang Liu; Yunquan Song; Yi Cheng (Entropy, 2023)

Robust Variable Selection with Exponential Squared Loss for the Spatial Single-Index Varying-Coefficient Model. - Yezi Wang; Zhijian Wang; Yunquan Song (Entropy, 2023)

Robust transfer learning for high-dimensional quantile regression model with linear constraints. - Longjie Cao; Yunquan Song (Appl. Intell., 2024)

Transfer learning for sparse variable selection in high-dimensional regression from quadratic measurement. - Qingxu Shang; Jie Li; Yunquan Song (Knowl. Based Syst., 2024)

Robust Variable Selection with Exponential Squared Loss for the Spatial Error Model. - Shida Ma; Yiming Hou; Yunquan Song; Feng Zhou (Axioms, 2024)

Parameter Estimation in Spatial Autoregressive Models with Missing Data and Measurement Errors. - Tengjun Li; Zhikang Zhang; Yunquan Song (Axioms, 2024)

Transfer Learning for Logistic Regression with Differential Privacy. - Yiming Hou; Yunquan Song (Axioms, 2024)

Deep learning for higher-order nonparametric spatial autoregressive model. - Zitong Li; Yunquan Song; Ling Jian (Appl. Intell., 2024)

Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model. - Jie Li; Yunquan Song; Ling Jian (Stat. Comput., 2024)

Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method. - Rui Yang; Yunquan Song (Stat. Anal. Data Min., 2024)

Optimal transport-based transfer learning with incomplete data: Bridging the gap across omains. - Minmin Zhan; Yunquan Song; Fanyun Meng (Expert Syst. Appl., 2026)