Alma Mater:National Chengchi University, Taiwan
Education Level:Postgraduate (Postdoctoral)
[MORE]1. Awardee of Excellent Young Role Models from Tainan County, Taiwan 2. Leading Scientists of the World 2009 3. Who's Who in the World 2013-2021 4. Who's Who in Science and Engineering 2016-2017 5. Who's Who in Asia 2017-2018 6. 福建省福州市台湾人才库成员 7. 中国海外杰青汇中华交流团(CSP)成员 8. 福建工程学院「本科优秀毕业设计(论文)指导教师奖」
Name of Research Group:Data Science and Operations Research
Description of Research Group:Prof. Wang is an expert in the fields of artificial intelligence, intelligent computing, operations research, queueing systems and data science. He has been involved in several collaborative projects with international professionals, including the modeling and analysis of security-check queues, the management mechanisms for service systems, and the design of management schemes on communication networks, etc. These research works have already been published in over 70 refereed journals and conference proceedings, including Management Science, Expert Systems with Applications, Applied Intelligence, Computers & Operations Research, Computers and Mathematics with Applications, Scientific Reports, Soft Computing, IEEE ACCESS, Mathematics, Energies, Journal of Intelligent & Fuzzy Systems, Journal of Network Intelligence, International Journal of Information and Management Sciences, and so on.
Team members Introduction:
Master Graduate at Computer Science, Class of Year 2021-2024
Research works during his study period:
1. Chia-Hung Wang*, Jinchen Yuan, Yingping Zeng, and Shengming Lin (2024),
A deep learning integrated framework for predicting stock index price and fluctuation
via singular spectrum analysis and particle swarm optimization.
Applied Intelligence, vol. 54, no. 8, pp. 1770-1797,
https://doi.org/10.1007/s10489-024-05271-x. (SCI收录, 中科院二区)
2. 林昇铭, 王嘉宏*, 袁锦琛,曾莹萍,林持旺 (2024).
基于CEEMDAN和LSTM的股指价格组合预测方法:来自5个国家的数据分析[J].
计算机科学与应用, 2024, 14(2): 449-459.
https://doi.org/10.12677/CSA.2024.142045 (CSCD扩展库收录)
3. 林昇铭、王嘉宏、袁锦琛,专利名称:「一种基于CEEMDAN-PSO-LSTM的多国股指价格预测方法」,
中国发明专利,专利申请号202410349818.8,申请日2024年3月26日,
申请公布号CN118505391A,申请公布日2024年8月16日。
4. Chia-Hung Wang*, Qing Ye, Jiongbiao Cai, Yifan Suo, Shengming Lin, Jinchen Yuan,
and Xiaojing Wu (2024), A novel data-driven integrated detection method for
network intrusion classification based on multi-feature imbalanced data.
Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 5893-5910, DOI:10.3233/JIFS-234402.
https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs234402 (SCI收录)
5. Chia-Hung Wang*, Jiongbiao Cai, Qing Ye, Yifan Suo, Shengming Lin, Jinchen Yuan (2023),
A Two-stage Convolution Network Algorithm for Predicting Traffic Speed based on
Multi-feature Attention Mechanisms.
Journal of Intelligent & Fuzzy Systems, vol. 45, no. 3, pp. 5181-5196, DOI: 10.3233/JIFS-231133.
https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs231133 (SCI收录)
6. Yi Wei, Chia-Hung Wang*, Yifan Suo, Qigen Zhao, Jinchen Yuan, Shumeng Chen (2025),
FHO-based Hybrid Neural Networks for Short-Term Load Forecasting in
Economic Dispatch of Power Systems.
Journal of Network Intelligence, vol. 10, no. 1, pp. 262-284, February 2025.
(ISSN 2414-8105) (EI收录)
7. Chia-Hung Wang*, Yingping Zeng, and Jinchen Yuan (2024),
Two-stage stock portfolio optimization based on AI-powered price prediction
and mean-CVaR models,
Expert Systems with Applications, Vol. 255, 124555,
DOI: https://doi.org/10.1016/j.eswa.2024.124555. (ISSN 0957-4174) (SCI收录, 中科院1区)
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