He Jiang

According to our database, He Jiang authored at least 11 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Sparse and robust estimation with ridge minimax concave penalty.

He Jiang, Weihua Zheng, Yao Dong

Inf. Sci., 2021

Robust low-rank multiple kernel learning with compound regularization.

He Jiang, Changqi Tao, Yao Dong, Ren Xiong

Eur. J. Oper. Res., 2021

Simultaneous feature selection and clustering based on square root optimization.

He Jiang, Shihua Luo, Yao Dong

Eur. J. Oper. Res., 2021

2020

A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm.

He Jiang, Ye Yang, Weiying Ping, Yao Dong

IEEE Access, 2020

2019

Structural regularization in quadratic logistic regression model.

He Jiang, Yao Dong

Knowl. Based Syst., 2019

A two-stage minimax concave penalty based method in pruned AdaBoost ensemble.

He Jiang, Weihua Zheng, Liangqing Luo, Yao Dong

Appl. Soft Comput., 2019

2018

Sparse estimation based on square root nonconvex optimization in high-dimensional data.

He Jiang

Neurocomputing, 2018

A Novel Model Based on Square Root Elastic Net and Artificial Neural Network for Forecasting Global Solar Radiation.

He Jiang, Yao Dong

Complex., 2018

A Two-Stage Regularization Method for Variable Selection and Forecasting in High-Order Interaction Model.

Yao Dong, He Jiang

Complex., 2018

Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm.

He Jiang

Appl. Soft Comput., 2018

2017

Dimension reduction based on a penalized kernel support vector machine model.

He Jiang, Yao Dong

Knowl. Based Syst., 2017