Wei-Chiang Hong
Harbin Engineering University, Asia Eastern University of Science and Technology
Research areas: Decision Sciences · Management Science and Operations Research · Energy Load and Power Forecasting · Stock Market Forecasting Methods · Forecasting Techniques and Applications
0000-0002-3001-2921
About
Prof. Wei-Chiang Hong is a Professor of the College of Shipbuilding Engineering at Harbin Engineering University, Harbin, China. His research interests mainly include computational intelligence, the application of forecasting technology, and machine learning algorithms. He serves as the program committee for various international conferences, including CEC, CIS, SMC, and SMCia. He was elected as the Outstanding Professor Award in 2014 and 2023. From 2019 to 2025, he has been indexed the World TOP 2% Scientist in ICT & AI Image Processing. From 2022 to 2025, he has also been indexed the Scholar GPS® Top 0.05% Scholar in Forecasting.
Employment
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Harbin Engineering University Professor2025 - Present
- 2021 - 2025
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Oriental Institute of Technology Professor2013 - 2021
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Oriental Institute of Technology Associate Professor2010 - 2013
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Oriental Institute of Technology Assistant Professor2007 - 2010
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Oriental Institute of Technology Lecturer2006 - 2007
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (173)
- HyDiT: Heterogeneous Multi-Teacher Knowledge Distillation for Compressing Vision Transformers in Autonomous Electric Vehicles Save
- A case study on berth and marine experiment allocation method considering uncertainty for cargo and research ports Save
- Short-term electric load forecasting based on deep learning and multi-modal fusion Save
- Investigation on the reliability calculation method of gravity dam based on CNN-LSTM and Monte Carlo method Save
- Integrated scheduling of cargo vessels, research vessels, and marine experiments in multifunctional ports using Q-learning enhanced PSO Save
- The Decomposition–Extraction–Fusion Framework for Robust Short‐Term Photovoltaic Power Forecasting Under Chaotic Uncertainty Save
- FPI-Informer & BO: A Physics-Guided and Bayesian-Optimized Attention Framework for Short-Term Ship Motion Forecasting Save
- Application of ensemble empirical mode decomposition with support vector regression and wavelet neural network in electric load forecasting Save
- A self-optimised informer-based model for nonlinear ship roll motion forecasting Save
- Berth-quay crane-experiment allocation method based on improved genetic algorithm for cargo and scientific research port Save
- Optimizing performance prediction of perovskite photovoltaic materials by statistical methods-intelligent calculation model Save
- Short-term photovoltaic power prediction based on volatility analysis and uncertainty measurement Save
- A fuzzy optimization model based on chaotic quantum AHA for offshore wind farm operation and maintenance scheduling problem Save
- SD-CSMOTE: Over-sampling method based on SNN-DPC and improved SMOTE Save
- Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting Save
- Chaos crossover quantum attraction-repulsion optimization algorithm Save
- Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting Save
- A ship motion forecasting approach based on Fourier transform, regularized Bi-LSTM and chaotic quantum adaptive WOA Save
- MapReduce teaching learning based optimization algorithm for solving CEC-2013 LSGO benchmark Testsuit Save
- Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction Save