He Jiang

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reinforcement learning driven periodic kernel fusion for probabilistic forecasting of market dynamics.
Knowl. Based Syst.
Yawei Dong, He Jiang, Bo Zeng, Sheng Pan
2025 J jnl
Graph-constrained quantile regression: Unifying structured regularization and robust modeling for enhanced accuracy and interpretability.
Inf. Sci.
Yao Dong, He Jiang, Sheng Pan, Jianzhou Wang
2025 J jnl
Power load forecasting using deep learning and reinforcement learning.
Inf. Sci.
Yao Dong, Kai Liu, He Jiang, Yawei Dong, Jianzhou Wang
2024 J jnl
A Novel Multistep Ahead PM$_{2.5}$ Forecasting Approach Using Spatial-Temporal Attention Network.
IEEE Trans. Ind. Informatics
Shaolong Sun, Yawei Dong, He Jiang, Shouyang Wang
2024 J jnl
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting.
Expert Syst. Appl.
Jianzhou Wang, Yuanyuan Shao, He Jiang, Yining An
2024 J jnl
A novel crude oil price forecasting model using decomposition and deep learning networks.
Eng. Appl. Artif. Intell.
Yao Dong, He Jiang, Yunting Guo, Jianzhou Wang
2024 J jnl
Feature selection based on dynamic crow search algorithm for high-dimensional data classification.
Expert Syst. Appl.
He Jiang, Ye Yang, Qiuying Wan, Yao Dong
2023 J jnl
A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy.
Expert Syst. Appl.
Jianzhou Wang, Yilin Zhou, He Jiang
2023 J jnl
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration.
Expert Syst. Appl.
Qianyi Xing, Jianzhou Wang, He Jiang, Kang Wang
2023 J jnl
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization.
Appl. Soft Comput.
Jianzhou Wang, Kang Wang, ZhiWu Li, Haiyan Lu, He Jiang
2021 J jnl
Robust low-rank multiple kernel learning with compound regularization.
Eur. J. Oper. Res.
He Jiang, Changqi Tao, Yao Dong, Ren Xiong
2021 J jnl
Simultaneous feature selection and clustering based on square root optimization.
Eur. J. Oper. Res.
He Jiang, Shihua Luo, Yao Dong
2021 J jnl
Sparse and robust estimation with ridge minimax concave penalty.
Inf. Sci.
He Jiang, Weihua Zheng, Yao Dong
2020 J jnl
A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm.
IEEE Access
He Jiang, Ye Yang, Weiying Ping, Yao Dong
2019 J jnl
A two-stage minimax concave penalty based method in pruned AdaBoost ensemble.
Appl. Soft Comput.
He Jiang, Weihua Zheng, Liangqing Luo, Yao Dong
2019 J jnl
Structural regularization in quadratic logistic regression model.
Knowl. Based Syst.
He Jiang, Yao Dong
2018 J jnl
A Novel Model Based on Square Root Elastic Net and Artificial Neural Network for Forecasting Global Solar Radiation.
Complex.
He Jiang, Yao Dong
2018 J jnl
A Two-Stage Regularization Method for Variable Selection and Forecasting in High-Order Interaction Model.
Complex.
Yao Dong, He Jiang
2018 J jnl
Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm.
Appl. Soft Comput.
He Jiang
2018 J jnl
Sparse estimation based on square root nonconvex optimization in high-dimensional data.
Neurocomputing
He Jiang
2017 J jnl
Dimension reduction based on a penalized kernel support vector machine model.
Knowl. Based Syst.
He Jiang, Yao Dong