He Jiang

发表

Forecast of hourly global horizontal irradiance based on structured Kernel Support Vector Machine: A case study of Tibet area in China

He Jiang, Yao Dong, Yao Dong, 2017 .

Regional drought assessment using improved precipitation records under auxiliary information

Sajid Gul, He Jiang, M. A. Khan, 2020 .

A decomposition ensemble based deep learning approach for crude oil price forecasting

He Jiang, Weiqiang Hu, Ling Xiao, 2022, Resources Policy.

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

He Jiang, Yao Dong, He Jiang, 2018, Complex..

Simultaneous feature selection and clustering based on square root optimization

He Jiang, Shihua Luo, Yao Dong, 2021, Eur. J. Oper. Res..

Extending the Patra-Sen Approach to Estimating the Background Component in a Two-Component Mixture Model

He Jiang, Ery Arias-Castro, E. Arias-Castro, 2021, 2106.13925.

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

Yao Dong, He Jiang, Weihua Zheng, 2019, Appl. Soft Comput..

Structural regularization in quadratic logistic regression model

He Jiang, Yao Dong, He Jiang, 2019, Knowl. Based Syst..

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

He Jiang, Yao Dong, Ye Yang, 2020, IEEE Access.

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

He Jiang, He Jiang, 2018, Appl. Soft Comput..

Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China

He Jiang, Yao Dong, He Jiang, 2017 .

On the Consistency of Metric and Non-Metric K-Medoids

He Jiang, Ery Arias-Castro, E. Arias-Castro, 2020, AISTATS.

Sparse and robust estimation with ridge minimax concave penalty

He Jiang, Yao Dong, Weihua Zheng, 2021, Inf. Sci..

Robust low-rank multiple kernel learning with compound regularization

He Jiang, Yao Dong, Changqi Tao, 2020, Eur. J. Oper. Res..

China’s Hydropower Resources and Development

He Jiang, Ling Xiao, Jing Wang, 2023, Sustainability.

A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation

He Jiang, Yao Dong, He Jiang, 2016 .

A novel approach for forecasting global horizontal irradiance based on sparse quadratic RBF neural network

He Jiang, He Jiang, 2017 .

A multi-stage intelligent approach based on an ensemble of two-way interaction model for forecasting the global horizontal radiation of India

He Jiang, Ling Xiao, Yao Dong, 2017 .

Forecasting global solar radiation using a robust regularization approach with mixture kernels

He Jiang, 2023, Journal of Forecasting.

Global Solar Radiation Forecasting Using Square Root Regularization-Based Ensemble

Yao Dong, He Jiang, He Jiang, 2019, Mathematical Problems in Engineering.

A Multitask integrated deep-learning probabilistic prediction for load forecasting

Jianzhou Wang, H. Lu, He Jiang, 2023, IEEE Transactions on Power Systems.

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

He Jiang, He Jiang, 2017, Neurocomputing.

K -means and gaussian mixture modeling with a separation constraint

E. Arias-Castro, He Jiang, 2020, Communications in Statistics - Simulation and Computation.

Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach

He Jiang, Luo Shi-hua, Yao Dong, 2020 .

Deep learning with regularized robust long and short‐term memory network for probabilistic short‐term load forecasting

He Jiang, Weihua Zheng, 2022, Journal of Forecasting.

Dimension reduction based on a penalized kernel support vector machine model

He Jiang, Yao Dong, He Jiang, 2017, Knowl. Based Syst..