Dimension reduction based on a penalized kernel support vector machine model. - He Jiang 003; Yao Dong 002 (Knowl. Based Syst., 2017)

A Two-Stage Regularization Method for Variable Selection and Forecasting in High-Order Interaction Model. - Yao Dong 002; He Jiang 003 (Complex., 2018)

A Novel Model Based on Square Root Elastic Net and Artificial Neural Network for Forecasting Global Solar Radiation. - He Jiang 003; Yao Dong 002 (Complex., 2018)

Wind Speed Forecasting Using a Two-Stage Forecasting System With an Error Correcting and Nonlinear Ensemble Strategy. - Lifang Zhang; Yao Dong 002; Jianzhou Wang (IEEE Access, 2019)

A two-stage minimax concave penalty based method in pruned AdaBoost ensemble. - He Jiang 003; Weihua Zheng; Liangqing Luo; Yao Dong 002 (Appl. Soft Comput., 2019)

Structural regularization in quadratic logistic regression model. - He Jiang 003; Yao Dong 002 (Knowl. Based Syst., 2019)

A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm. - He Jiang 003; Ye Yang; Weiying Ping; Yao Dong 002 (IEEE Access, 2020)

Simultaneous feature selection and clustering based on square root optimization. - He Jiang 003; Shihua Luo; Yao Dong 002 (Eur. J. Oper. Res., 2021)

Robust low-rank multiple kernel learning with compound regularization. - He Jiang 003; Changqi Tao; Yao Dong 002; Ren Xiong (Eur. J. Oper. Res., 2021)

Sparse and robust estimation with ridge minimax concave penalty. - He Jiang 003; Weihua Zheng; Yao Dong 002 (Inf. Sci., 2021)

A novel crude oil price forecasting model using decomposition and deep learning networks. - Yao Dong 002; He Jiang 003; Yunting Guo; Jianzhou Wang (Eng. Appl. Artif. Intell., 2024)