He Jiang

According to our database, He Jiang authored at least 21 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reinforcement learning driven periodic kernel fusion for probabilistic forecasting of market dynamics.

Yawei Dong, He Jiang, Bo Zeng, Sheng Pan

Knowl. Based Syst., 2026

2025

Power load forecasting using deep learning and reinforcement learning.

Yao Dong, Kai Liu, He Jiang, Yawei Dong, Jianzhou Wang

Inf. Sci., 2025

Graph-constrained quantile regression: Unifying structured regularization and robust modeling for enhanced accuracy and interpretability.

Yao Dong, He Jiang, Sheng Pan, Jianzhou Wang

Inf. Sci., 2025

2024

A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting.

Jianzhou Wang, Yuanyuan Shao, He Jiang, Yining An

Expert Syst. Appl., March, 2024

A Novel Multistep Ahead PM$_{2.5}$ Forecasting Approach Using Spatial-Temporal Attention Network.

Shaolong Sun, Yawei Dong, He Jiang, Shouyang Wang

IEEE Trans. Ind. Informatics, 2024

Feature selection based on dynamic crow search algorithm for high-dimensional data classification.

He Jiang, Ye Yang, Qiuying Wan, Yao Dong

Expert Syst. Appl., 2024

A novel crude oil price forecasting model using decomposition and deep learning networks.

Yao Dong, He Jiang, Yunting Guo, Jianzhou Wang

Eng. Appl. Artif. Intell., 2024

2023

Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration.

Qianyi Xing, Jianzhou Wang, He Jiang, Kang Wang

Expert Syst. Appl., October, 2023

Short-term power load forecasting system based on rough set, information granule and multi-objective optimization.

Jianzhou Wang, Kang Wang, Zhiwu Li, Haiyan Lu, He Jiang

Appl. Soft Comput., October, 2023

A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy.

Jianzhou Wang, Yilin Zhou, He Jiang

Expert Syst. Appl., May, 2023

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