ChiaHung Wang
Associate professor

Alma Mater:National Chengchi University, Taiwan

Education Level:Postgraduate (Postdoctoral)

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Honors and Titles:

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」

MOBILE Version

Research Group

Current position: HomePage of Prof. Chia-Hung Wang, Ph.D. >Research Group

Jinchen Yuan

Release time:2022-07-06

Name of Research Group:Data Science and Operations Research

Description of Research Group:Prof. Wang is an expert in operations research, applied mathematics, information systems, queueing systems, artificial intelligence, intelligent computing, operation management, 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, Soft Computing, Computers & Operations Research, Computers and Mathematics with Applications, Mathematics, IEEE ACCESS, Energies, 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


Publication:

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. Shengming Lin, Chia-Hung Wang*, Jinchen Yuan, Yingping Zeng, Chiwang Lin (2024),

A Combinatorial Prediction Method for Stock Index Price Based on CEEMDAN and LSTM: Data Analysis from Five Countries. 

Computer Science and Application, Vol. 14, No. 2, pp. 449-459, February 2024, DOI: 10.12677/CSA.2024.142045.

https://www.hanspub.org/journal/PaperInformation?paperID=82228 

 

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。


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. 2, pp. xxx-xxx, May 2025.  (EI收录)

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