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ORCIDHe Jiang 0003
Person information
- affiliation: Jiangxi University of Finance and Economics, Nanchang, China
Other persons with the same name
- He Jiang — disambiguation page
- He Jiang 0001
![[0000-0001-8674-4948]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8674-4948")
— Dalian University of Technology, Dalian, China - He Jiang 0002 — Northeastern University, Shenyang, China
- He Jiang 0004 — University of Rhode Island, Kingston, USA
- He Jiang 0005 — Zhejiang University, Hangzhou, China
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2020 – today
- 2026
[j21]Yawei Dong, He Jiang, Bo Zeng, Sheng Pan:
Reinforcement learning driven periodic kernel fusion for probabilistic forecasting of market dynamics. Knowl. Based Syst. 340: 115770 (2026)- 2025
- [j20]Yao Dong, Kai Liu, He Jiang, Yawei Dong, Jianzhou Wang:
Power load forecasting using deep learning and reinforcement learning. Inf. Sci. 720: 122523 (2025) - [j19]Yao Dong, He Jiang, Sheng Pan, Jianzhou Wang:
Graph-constrained quantile regression: Unifying structured regularization and robust modeling for enhanced accuracy and interpretability. Inf. Sci. 720: 122530 (2025) - 2024
- [j18]Yao Dong, He Jiang, Yunting Guo, Jianzhou Wang:
A novel crude oil price forecasting model using decomposition and deep learning networks. Eng. Appl. Artif. Intell. 133: 108111 (2024) - [j17]Jianzhou Wang, Yuanyuan Shao, He Jiang, Yining An:
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting. Expert Syst. Appl. 237(Part B): 121546 (2024) - [j16]He Jiang, Ye Yang, Qiuying Wan, Yao Dong:
Feature selection based on dynamic crow search algorithm for high-dimensional data classification. Expert Syst. Appl. 250: 123871 (2024) - [j15]Shaolong Sun, Yawei Dong, He Jiang, Shouyang Wang:
A Novel Multistep Ahead PM$_{2.5}$ Forecasting Approach Using Spatial-Temporal Attention Network. IEEE Trans. Ind. Informatics 20(7): 9761-9770 (2024) - 2023
- [j14]Jianzhou Wang, Kang Wang, Zhiwu Li, Haiyan Lu, He Jiang:
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization. Appl. Soft Comput. 146: 110692 (2023) - [j13]Jianzhou Wang, Yilin Zhou, He Jiang:
A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy. Expert Syst. Appl. 217: 119539 (2023) - [j12]Qianyi Xing, Jianzhou Wang, He Jiang, Kang Wang:
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration. Expert Syst. Appl. 228: 120117 (2023) - 2021
- [j11]He Jiang, Shihua Luo, Yao Dong:
Simultaneous feature selection and clustering based on square root optimization. Eur. J. Oper. Res. 289(1): 214-231 (2021) - [j10]He Jiang, Changqi Tao, Yao Dong, Ren Xiong:
Robust low-rank multiple kernel learning with compound regularization. Eur. J. Oper. Res. 295(2): 634-647 (2021) - [j9]He Jiang, Weihua Zheng, Yao Dong:
Sparse and robust estimation with ridge minimax concave penalty. Inf. Sci. 571: 154-174 (2021) - 2020
- [j8]He Jiang, Ye Yang, Weiying Ping, Yao Dong:
A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm. IEEE Access 8: 100778-100790 (2020)
2010 – 2019
- 2019
- [j7]He Jiang, Weihua Zheng, Liangqing Luo, Yao Dong:
A two-stage minimax concave penalty based method in pruned AdaBoost ensemble. Appl. Soft Comput. 83 (2019) - [j6]He Jiang, Yao Dong:
Structural regularization in quadratic logistic regression model. Knowl. Based Syst. 163: 842-857 (2019) - 2018
- [j5]He Jiang:
Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm. Appl. Soft Comput. 63: 110-123 (2018) - [j4]Yao Dong, He Jiang:
A Two-Stage Regularization Method for Variable Selection and Forecasting in High-Order Interaction Model. Complex. 2018: 2032987:1-2032987:12 (2018) - [j3]He Jiang, Yao Dong:
A Novel Model Based on Square Root Elastic Net and Artificial Neural Network for Forecasting Global Solar Radiation. Complex. 2018: 8135193:1-8135193:19 (2018) - [j2]He Jiang:
Sparse estimation based on square root nonconvex optimization in high-dimensional data. Neurocomputing 282: 122-135 (2018) - 2017
- [j1]He Jiang, Yao Dong:
Dimension reduction based on a penalized kernel support vector machine model. Knowl. Based Syst. 138: 79-90 (2017)
Coauthor Index
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