Curriculum Vitae

Chun-Hao Chen (陳俊豪) , Ph.D.

Ph.D., Dept. of Computer Science and Information Engineering,

National Cheng Kung University (國立成功大學), Taiwan, 2008.

+Google Scholar Citation: 1716, H-index: 23

Contact Information:

+Email: chchen6814@gmail.com, chchen@ntut.edu.tw

 

Biographic

                                                                                        

Chun-Hao Chen is a professor in the Department of Computer Science and Information Engineering, Vice Dean of Computer and Network Center, and Division Chief of Software Development Division in Computer and Network Center at National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan. Dr. Chen received his Ph.D. degree with a major in computer science and information engineering from National Cheng Kung University, Taiwan, in 2008. After that, he joined the Department of Computer Science and Information Engineering of National University of Kaohsiung at Kaohsiung City, Taiwan, as a postdoctoral fellow during 2009. During February 2010 to July 2013, August 2013 to July 2017 and August 2017 to January 2020, he served as an assistant, associate and professor at Department of Computer Science and Information Engineering at Tamkang University, respectively. From February 2020 to July 2022, he served as an associate professor at Department of Information and Finance Management at National Taipei University of Technology, Taipei, Taiwan. He has a wide variety of research interests covering data mining, time series, machine learning, evolutionary algorithms, and fuzzy theory. Research topics cover portfolio selection, trading strategy, business data analysis, time series pattern discovery, etc. He has published more than 150 research papers in refereed journals (50 SCI papers) and international conferences (more than 90 papers, including IEEE CEC, Fuzz-IEEE, IEEE SMC, IEEE ICKII, PAKDD, and ACIIDS, etc). He serves as the Associate Editor of the International Journal of Data Science and Pattern Recognition, IEEE Access (SCI), and EAI Endorsed Transactions on Scalable Information Systems (SCI).

Academic Service

                                                                                       

Associate Editor

 

EAI Endorsed Transactions on Scalable Information Systems (SCI)

IEEE Access (SCI)

International Journal of Data Science and Pattern Recognition

Special Session Organizer

 

ACIIDS (2024, 2023, 2022, 2021, 2020, 2019, 2018), ISDA (2023), IEEE SMC (2023, 2020, 2019), IEEE CEC (2019), TAAI (2019, 2015), BESC (2018), ASE BigData (2015), IEEE GrC (2014, 2013)

Special Issue Organizer

 

Special Issue on Soft Computing for Computational Intelligence on Big Data (SCI)

Special Issue on Applied Sciences for Actionable Pattern-Driven Analytics and Artificial Intelligence Techniques (SCI)

Special Issue on Soft Computing for Fuzzy Mathematical Analysis & Advances in Computational Mathematics (SCI)

Special Issue on Mathematics for Evolutionary Computation for Actionable Knowledge Discovery (SCI)

Journal Reviewer and PC Member

 

Engineering Applications of Artificial Intelligence, EAI Endorsed Transactions on Scalable Information Systems, Knowledge-Based Systems, IEEE Transactions on Intelligent Transportation Systems, Swarm and Evolutionary Computation, Applied Soft Computing, Soft Computing, Knowledge and Information Systems, Journal of Information Science and Engineering, etc

 

ACIIDS (2015-2023), TAAI (2017-2023), SOICT (2023), ISDA (2023), ACM ICEA (2023), IEA/AIE (2022), DSAA (2020, 2021), PAKDD (2013-2020, 2024), IEEE CEC (2019), etc

Education

                                                                                        

2004.09 - 2008.06

Ph.D., Dept. of Computer Science and Information Engineering,

National Cheng Kung University, Taiwan.

(Advisors: Prof. Vincent S. Tseng and Prof. Tzung-Pei Hong)

2002.09 - 2004.06

M.S., Dept. of Information Management, I-Shou University, Taiwan.

(Advisors: Prof. Yu-Lung Wu and Prof. Tzung-Pei Hong)

1998.09 - 2002.06

B.S., Dept. of Information Management, I-Shou University, Taiwan. (Major)

B.B.A ., Dept. of Finance, I-Shou University, Taiwan. (Minor)

Research Interest

                                                                                       

ü  Artificial Intelligence

ü  Financial Technology

ü  Data Mining

ü  Internet of Things

ü  Evolutionary Algorithms

ü  Machine Learning

ü  Fuzzy Theory

ü  Time Series

ü Biomedical Information

ü  Deep Learning

Employment History

                                                                                        

2023.08 – now

Vice Dean

Computer and Network Center at National Kaohsiung University of Science and Technology, Kaoshiung, Taiwan.

2023.08 – now

Division Chief

Software Development Division in Computer and Network Center at National Kaohsiung University of Science and Technology, Kaoshiung, Taiwan.

2022.08 – now

Professor

Department of Computer Science and Information Engineering at National Kaohsiung University of Science and Technology, Kaoshiung, Taiwan.

2020.02 – 2022.07

Associate Professor

Department of Information and Finance Management at National Taipei University of Technology, Taipei, Taiwan.

2017.08 – 2020.01

Professor

Department of Computer Science and Information Engineering at Tamkang University, Taipei, Taiwan.

2013.08 - 2017.07

Associate Professor

Department of Computer Science and Information Engineering at Tamkang University, Taipei, Taiwan.

2010.02 - 2013.07

Assistant Professor

Department of Computer Science and Information Engineering at Tamkang University, Taipei, Taiwan.

2009.05 - 2009.12

Postdoctoral Fellow

Department of Computer Science and Information Engineering at National University of Kaohsiung, Kaoshiung, Taiwan.

Grand

                                                                                       

2024.06 – 2024.12

電漿電性與光性之數值分析 (主持人)

金屬工業研究發展中心

2022.08 – 2024.07

多來源財金新聞摘要擷取與情緒為基礎之股票趨勢預測最佳化技術(NSC 111-2221-E-992-088-MY2)(主持人)

國科會

(160)

2020.11 - 2021.10

Utilizing Statistical Learning for Probability Prediction Model

Analysis (MOST 109-2622-E-027-032)(PI)

運用統計學習方法進行機率預測模型分析(MOST 109-2622-E-027-032)(主持人)

科技部

(77)

2020.08 - 2020.12

智慧科技應用於中小企業職場危害預防技術開發, 勞動部勞動及職業安全衛生研究所(ILOSH1090067) (共同主持人, Co-PI)

勞研所

(208)

2019.06 - 2019.12

The Research of Health Data Analysis and Evaluation for Labors, Institute of Labor, Occupational Safety And Health, Ministry of Labor (ILOSH1080040) (Co-PI)

勞工健康數據資料分析與驗證研究, 勞動部勞動及職業安全衛生研究所 (ILOSH1080040) (共同主持人)

勞研所

(298)

2019.08 - 2019.07

Multi-Period High-Dimension based Group Stock Portfolio Optimization Techniques and AIoT Robo-Advisor System (MOST 108-2221-E-032-037) (PI)

多區間高維度為基礎之群組股票投資組合最佳化技術與智慧物聯理財顧問系統 (MOST 108-2221-E-032-037) (主持人)

科技部

(95)

2017.08 - 2019.07

Grouping-genetic fuzzy group stock portfolio optimization techniques with trading strategies (MOST 106-2221-E-032-049-MY2)(PI)

具擇時機制之群組遺傳式模糊群組股票投資組合最佳化技術(MOST 106-2221-E-032-049-MY2) (主持人)

科技部

(148)

2016.08 - 2017.07

Island-GGA-based fuzzy diverse group stock portfolio mining

techniques (MOST 105-2221-E-032-057)(PI)

島群式群組遺傳為基礎的模糊多樣群組股票投資組合探勘技術(MOST 105-2221-E-032-057) (主持人)

科技部

2015.08 - 2016.07

The GGA-based efficient and effective high dimension fuzzy diverse

group stock portfolio mining techniques (MOST 104-2221-E-032-040)(PI)

群組遺傳為基礎的有效率與效能的高維度模糊多樣群組股票投資組合探勘技術(MOST 104-2221-E-032-040) (主持人).

科技部

2015.01 - 2017.12

計算智慧及決策支援(台法雙邊國際合作研究計畫,主持人: 李健興教授,共同主持人: 顏士淨教授、林文揚教授、陳俊豪副教授) (MOST 104-2911-I-024-501, 105-2911-I-024-50 1, 106-2911-I-024-501).

科技部

2014.08 - 2015.07

Map-reduce based stable group evolutionary stock portfolio optimization techniques (MOST 103-2221-E-032 -029) (PI)

Map-reduce為基礎的穩定群組演化式股票投資組合最佳化技術(MOST 103-2221-E-032 -029) (主持人).

科技部

2013.04 - 2016.03

Fuzzy Clustering in Finding Subtypes of Cancers in Large Cancer Medical Database (NSC-2923-E-390-001- MY3) (Co-PI)

在大型癌症醫學資料庫中之癌症子型模糊分群研究 (台印雙邊國際合作研究計畫,主持人: 洪宗貝教授,參與人員: 王學亮教授、林文揚教授、曾新穆教授、李健興教授、林威成教授、陳俊豪副教授)  (NSC-2923-E-390-001- MY3).

科技部

2013.08 - 2014.07

Utilizing Big Data for Building Actionable Stable Stock Portfolio Selection Model (NSC 102-2221-E-032- 056) (PI)

利用大資料建置可行動穩定的股票投資組合選擇模型(NSC 102-2221-E-032- 056) (主持人).

國科會

2012.03 - 2013.02

102年度教育部資訊軟體人才培育推廣計畫(共同主持人), A.

教育部

2012.08- 2013.07

Research on Actionable-Knowledge-Discovery-Based Fuzzy Data-Mining Techniques (NSC 101-2221-E-032-05 7) (PI)

可行動知識發掘為基礎的模糊資料探技術之研究(NSC 101-2221-E-032-05 7) (主持人).

國科會

2011.08 - 2012.07

Research on Domain-Driven Time Series Data Mining Techniques (NSC 100-2221-E-032 -065) (PI)

領域衍生式時間序列探技術之研究(NSC 100-2221-E-032 -065) (主持人).

國科會

2011.03 - 2012.02

101年度教育部資訊軟體人才培育推廣計畫(共同主持人), A.

教育部

2010.08 - 2011.07

Multi-level Genetic-Fuzzy Data-Mining Techniques (NSC 99-2218-E-032 -005) (PI)

多階層遺傳模糊探技術之研究(NSC 99-2218-E-032 -005) (主持人).

國科會

Honors

                                                                                        

2024

高科大問題與專題導向學習課程 – PBL課程優良獎 (資料探勘)

2023

Best Special Session Award, The Asian Conference on Intelligent Information and Database Systems.

2023

高科大問題與專題導向學習課程 – PBL課程特優獎 (基因演算法)

2023

高科大112學年度獎勵特殊優秀研究人才。

2022

北科大110學年度獎勵特殊優秀教學人才。

2021

北科大管院110年度教師研究獎勵。

2019

科技部補助大專校院獎勵特殊優秀人才。

2017

科技部補助大專校院獎勵特殊優秀人才。

2018

Best Application Paper Award, 2018 IEEE ICKII.

2016

淡江大學優良導師。

2016

科技部補助大專校院獎勵特殊優秀人才。

2015

科技部補助大專校院獎勵特殊優秀人才。

2015

淡江大學傑出研究教師獎(16/746)

2014

科技部補助大專校院獎勵特殊優秀人才。

2013

Best Application Paper Award, The IEEE International Conference on Granular Computing.

2013

Tamkang University Distinguished Teaching Award (淡江大學教學優良教師).

2013

國科會補助大專校院獎勵特殊優秀人才。

2008

Ph.D. Dissertation Award, Taiwan Association for Artificial Intelligence (中華民國人工智慧學會博士論文獎).

2008

Best Paper Award, The 3th International Symposium on Healthcare Information Management (3屆國際健康資訊管理研討會, 最佳論文獎).

2005

Best Paper Award, The 10th Conference on Technologies and Applications of Artificial Intelligence, (10屆中華民國人工智慧研討會, 最佳論文獎).

Awards

                                                                                        

2021

指導大學生林柏辰榮獲科技部大專生研究計畫,具股票趨勢預測與投資組合推薦之機器人理財顧問應用程式之研究實作(110CFAA300046), 2021

2020

指導大學生黃棋莉榮獲科技部大專生研究計畫,應用於預測市場之DPM機制網頁架構實作及價格函數優化(109-2813-C-027-021-E), 2020

2019

指導碩士生M. Gankhuyag論文發表,獲得2019 ICGEC最佳論文獎。C. H. Chen, M. Gankhuyag, T. P. Hong, M. E. Wu, J. M. T. Wu, "A multiobjective-based group trading strategy portfolio optimization technique," The International Conference on Genetic and Evolutionary Computing, 2019. (Excellent Paper Award)

2019

指導大學生蘇傑、劉承,「智慧物聯魚菜共生系統」,獲得淡江大學2019創新創業競賽佳作。

2018

指導碩士生蔣秉洋,獲『107年度中華民國模糊學會最佳碩士論文獎』。

2017

指導碩士生呂承諭論文發表,獲2017 IEEE ICKII最佳論文獎。

2017

指導碩士生周翔 (外籍生),獲『106年度中華民國模糊學會碩士論文獎佳作』。

2016

指導碩士生余志宏,獲『105年台灣社會網絡學會碩士論文獎』。

2015

指導碩士生李昱,獲『104年台灣社會網絡學會碩士論文獎』。

2014

指導學生林則言胡家睿許瑞育,獲第三屆全國大專ITSA盃程式設計桂冠挑戰大賽』闖關組佳作。(1036)

2013

指導碩士生謝晶宇論文發表,獲2013 IEEE GrC最佳應用論文獎。

2013

指導碩士生何吉軒,獲『102年度中華民國模糊學會碩士論文獎』-佳作獎。

2013

指導學生鄭傑文林聖翎林則言,獲『第二屆全國大專ITSA盃程式設計桂冠挑戰大賽』挑戰組佳作。

2012

指導學生鄭傑文林聖翎林則言,獲『101年度第2次全國大專ITSA盃程式設計桂冠挑戰大賽』挑戰組佳作。

2012

指導碩士生李艾芳,獲『101年度中華民國模糊學會碩士論文獎』管理類-特優獎。

2012

指導大學生陳品安獲國科會補助大專生專題計畫,計畫名稱:『以領域衍伸為基礎的投資模型建置』,計畫編號: 101-2815-C-032 -013-E

 


Invitated Talks and Tutorials

                                                                                        

2024.02

人工智慧技術於金融市場的數據分析與應用–以交易策略最佳化為例,高雄醫學大學大數據研究中心,2024

2023.10

金融資料分析與應用–以基於「異常特徵」之股票趨勢預測模型建置為例,「金融科技、智慧製造及物聯網之應用技術」種子教師培訓研討會,2023

2023.09

演化技術於金融科技的應用-以交易策略組合最佳化為例,義守大學資管系,2023

2023.05

Evolutionary Technology for Finding Mean-Variance-based Trading Strategy Portfolio, Seminar on Activating Participants Through Social Networks and Gamification in Undertourism Areas: Emerging Technologies in Computer Sciences, 25-26, May, 2023.

2022.12

演化技術在交易策略組合最佳化的案例研討(Case Study of Evolutionary Technology in Optimizing Trading Strategy Portfolio),高大資工系。

2022.08

(Invited Talk) Grouping Genetic Algorithm and its Applications on Financial Investment, Department of Computer science, Electrical engineering and Mathematical sciences, Western Norway University of Applied Sciences, Bergen, Norway (Online).

2022.06

(Invited Talk) Financial Data Analysis Techniques: Optimization Algorithms for Stock Prices Series Segmentation and Pattern-Association Discovery, Workshop of Activating Participants Through Social Networks and Gamification in Undertourism Areas: Artificial Intelligence and Data Mining Scheme (Virtual Workshop), 20-21, June, 2022

2021.10

基於群聚的時間序列行為樣式最佳化技術 以股價序列之技術分析為例,海大資工系。

2020.12

運用最佳化技術自動找尋時間序列行為樣式(Using Optimization Algorithms for Finding Time Series Patterns),高科大電機系。

2020.11

人工智慧於金融數據分析與應用(Artificial Intelligence on Finance Data Analytic and Applications),高大資工系。

2020.03

(Invited Talk) Financial Pattern Discovery Using Genetic Algorithms, International conference on Fuzzy Mathematical Analysis and Advances in Computational Mathematics, India, 2022.

2019.05

金融數據分析技術-投資組合與交易策略最佳化(Financial Data Analytic Techniques – Stock Portfolio and Trading Strategy Optimization)高科大電機系

2018.09

(授課) 高科技業物聯網平台架構與大數據收集, 高科技職業安全衛生與物聯網跨域核心訓練建置之課程, 勞動部勞動及職業安全衛生研究所

2018.08

(授課) 物聯網技術與應用, 石化業安衛人員運用物聯網強化安全管理, 勞動部勞動及職業安全衛生研究所

2018.05

群組股票投資組合與其最佳化(Group Stock Portfolio and Its Optimization),哈爾濱工業大學(深圳)

2015.11

(Tutorial) Genetic fuzzy systems and its application to data mining, The Conference on Technologies and Applications of Artificial Intelligence, Tainan, Taiwan. (with Professor Yusuke Nojima)

2015.05

最佳化技術於財務金融資料應用-以股市投資組合為例(Optimization Techniques and Applications on Financial Data – Using Stock Portfolio as An Example)義守資管

2015.03

Genetic-fuzzy data mining from association to concept drift pattern mining, Department of Mathematics, Pondicherry University, Pondicherry, India.

2015.03

Genetic-concept drift pattern mining, International Conference on Computing and intelligence systems (ICCIS 2015), Chennai, India.

2015.03

Fuzzy data mining techniques, The TKU-UoA Bilateral Workshop Program, Taipei, Taiwan.

2014.04

在時間序列與財務資料上的遺傳為基礎的資料探勘技術(GA-based Data Mining Techniques on Time Series and Financial Data)高科大資工系

2014.03

Genetic-fuzzy mining techniques, The 2014 India-Taiwan Cooperation Workshop on Intelligent Data Analysis Techniques for Medical Databases, Pondicherry, India.

2014.03

Introduction to association rule, Periyar Arts College, Cuddalore, India.

2013.11

演化計算於時間序列切割與股市投資組合最佳化技術(GA-based Time Series Segmentation and Stock Portfolio Optimization Techniques)台師大資工系

2012.05

多目標遺傳模糊資料探勘(Multi-Objective Genetic-Fuzzy Data Mining)高科大資工系

Publications

                                                                                       

Journal Papers

1.        T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions," Soft Computing, Vol. 10, No. 11, pp. 1091-1101. 2006. (SCI)

2.        Vincent S. Tseng, Y. H. Chen, C. H. Chen and J. W. Shin, "Mining fuzzy association patterns in gene expression databases," International Journal of Fuzzy Systems, Vol. 8, No. 2, pp. 1-7, 2006. (SCI)

3.        T. P. Hong, C. H. Chen, Y. C. Lee and Y. L. Wu, "Genetic-fuzzy data mining with divide-and-conquer strategy," IEEE Transactions on Evolutionary Computation, Vol. 12, No. 2, pp. 252-265, 2008. (SCI)

4.        C. H. Chen, Vincent S. Tseng and T. P. Hong, "Cluster-based evaluation in fuzzy-genetic data mining," IEEE Transactions on Fuzzy Systems, Vol. 16, No. 1, pp. 249-262, 2008. (SCI)

5.        C. H. Chen, T. P. Hong, Vincent S. Tseng and C. S. Lee, "A genetic-fuzzy mining approach for items with multiple minimum supports," Soft Computing, Vol. 13, No. 5, pp. 521-533, 2009. (SCI)

6.        C. H. Chen, T. P. Hong and Vincent S. Tseng, "Mining fuzzy frequent trends from time series," Expert Systems with Applications, Vol. 36, No. 2, pp. 4147-4153, 2009. (SCI)

7.        C. H. Chen, T. P. Hong and Vincent S. Tseng, "An improved approach to find membership functions and multiple minimum supports in fuzzy data mining," Expert Systems with Applications, Vol. 36, No. 6, pp. 10016-10024, 2009. (SCI)

8.        Vincent S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, "Cluster-based genetic segmentation of time series with DWT," Pattern Recognition Letters, Vol. 30, pp. 1190-1197, 2009. (SCI)

9.        L. C. Chen, C. H. Chen, H. M. Chen and Vincent S. Tseng, "Hybrid data mining approaches for prevention of drug dispensing errors," Journal of Intelligent Information Systems, Vol. 36, No. 3, pp. 305-327, 2011. (SCI)

10.    T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, "Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems," International Journal of Intelligent Information and Database Systems, Vol. 5, No. 3, pp. 229 – 245, 2011. (EI)

11.    C. H. Chen, T. P. Hong, Vincent S. Tseng, "Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering," Soft Computing, Vol. 15, No. 12, pp. 2319-2333, 2011. (SCI)

12.    H. H. Yu, C. H. Chen and Vincent S. Tseng, "Mining emerging patterns from time series data with time gap constraint," International Journal of Innovative Computing, Information and Control, Vol. 7, No. 9, pp. 1-14, 2011. (SCI))

13.    C. H. Chen, T. P. Hong and Vincent S. Tseng, "Fuzzy data mining for time-series data," Applied Soft Computing, Vol. 12, No. 1, pp. 536-542, 2012. (SCI)

14.    C. H. Chen, T. P. Hong, Vincent S. Tseng, "Finding Pareto-front membership functions in fuzzy data mining," International Journal of Computational Intelligence Systems, Vol. 5, No. 2, pp. 343-354, 2012. (SCI)

15.    C. H. Chen, T. P. Hong, Vincent S. Tseng and L. C. Chen, "Multi-objective genetic-fuzzy data mining," International Journal of Innovative Computing, Information and Control, Vol. 8, No. 10(A), pp. 6551-6568, 2012. (SCI)

16.    C. H. Chen, T. P. Hong and Y. C. Lee, "Genetic-fuzzy mining with taxonomy," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 20, No. 2, pp. 187-205, 2012. (SCI)

17.    C. H. Chen, R. D. Chiang, C. Y. Chen, "Improving the performance of association classifiers by class prioritization," Journal of computational information systems, Vol. 8, pp. 1697-1712, 2012. (EI)

18.    C. H. Chen, R. D. Chiang, C. Y. Chen and C. M. Lee, "Improving the performance of association classifiers by rule prioritization," Knowledge-Based Systems, Vol. 36, pp. 59-67, 2012. (SCI)

19.    C. H. Chen, R. D. Chiang and H. C. Chu, "Combing customer profiles for members’ return visit rate predictions," International Journal of Innovative Computing, Information and Control, Vol. 9, No. 2, pp. 503-523, 2013. (SCI)

20.    C. H. Chen, A. F. Li and Y. C. Lee, "A fuzzy coherent rule mining algorithm," Applied Soft Computing, Vol. 13, pp. 3422-3428, 2013. (SCI)

21.    C. H. Chen, Vincent S. Tseng, H. H. Yu and T. P. Hong, "Time series pattern discovery by a PIP-based evolutionary approach," Soft Computing, Vol. 17, No. 9, pp. 1699-1710, 2013. (SCI)

22.    C. H. Chen, R. D. Chiang, Y. H. Wang and H. C. Chu, "Prediction of members’ repurchase rates with time weight function," Soft Computing, Vol. 17, No. 9, pp. 1711-1723, 2013. (SCI)

23.    C. H. Chen, R. D. Chiang, T. F. Wu and H. C. Chu, "A combined mining-based framework for predicting telecommunications customer payment behaviors," Expert Systems with Applications, Vol. 40, No. 16, pp. 6561-6569, 2013. (SCI)

24.    C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, "Mining high coherent association rules with consideration of support measure," Expert Systems with Applications, Vol. 40, No. 16, pp. 6531-6537, 2013. (SCI)

25.    C. H. Chen, J. S. He and T. P. Hong, "MOGA-based fuzzy data mining with taxonomy," Knowledge-Based Systems, Vol. 54, pp. 53-65, 2013. (SCI)

26.    C. H. Chen, A. F. Li and Y. C. Lee, "Actionable high-coherent-utility fuzzy itemset mining," Soft Computing, Vol. 18, No. 12, pp. 2413-2424, 2014. (SCI)

27.    T. P. Hong, C. H. Chen and F. S. Lin, "Using the group genetic algorithm to improve performance of attribute clustering," Applied Soft Computing, Vol. 29, pp. 371-378, 2015. (SCI)

28.    C. H. Chen, T. P. Hong, Y. C. Lee and Vincent S. Tseng, "Finding active membership functions for genetic-fuzzy mining," International Journal of Information Technology & Decision Making, Vol. 14, No. 16, pp. 1215-1242, 2015. (SCI)

29.    C. H. Chen and C. Y. Hsieh, "Actionable stock portfolio mining by using genetic algorithms," Journal of Information Science and Engineering, Vol. 32, No. 6, pp. 1657-1678, 2016. (SCI)

30.    C. H. Chen, G. C. Lan, T. P. Hong and S. B. Lin, "Mining fuzzy temporal association rules by item lifespans," Applied Soft Computing, No. 41, pp. 265-274, 2016. (SCI)

31.    C. H. Chen, Vincent S. Tseng, H. H. Yu, T. P. Hong and N. Yen, "A GA-based approach for finding appropriate granularity levels of web patterns from time series," International Journal of Web and Grid Services, Vol. 12, No. 3, pp. 217-239, 2016. (SCI)

32.    C. H. Chen, C. C. Chen and Y. Nojima, "An efficient and effective approach for mining a group stock portfolio using MapReduce," Intelligent Data Analysis, Vol. 21, No. S1, pp. 217-232, 2017. (SCI)

33.    W. Y. Lin, Y. E. Wei and C. H. Chen, "GIAMS: A generic approach for mining indirect association rules in data streams," Intelligent Data Analysis, Vol. 21, No. S1, pp. 177-194, 2017. (SCI)

34.    C. H. Chen and C. H. Yu, "A series-based group stock portfolio optimization approach using the grouping genetic algorithm with symbolic aggregate approximations," Knowledge-Based Systems, Vol. 125, pp. 146-163, 2017. (SCI)

35.    T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Generalizing concept-drift patterns for fuzzy association rules" Journal of Network Intelligence, Vol. 3, No. 2, pp. 126-137, 2018.

36.    C. H. Chen, Y. H. Chen, J. C. W. Lin and M. E. Wu, "An effective approach for obtaining a group trading strategy portfolio using grouping genetic algorithm," IEEE Access, Vol. 7, pp. 7313 - 7325, 2019. (SCI)

37.    T. Y. Wu, J. C. W. Lin, Y. Zhang, C. H. Chen, "A grid-based swarm intelligence algorithm for privacy-preserving data mining," Applied Sciences, Vol. 9, No. 4, pp. 774, 2019. (SCI)

38.    J. C. W. Lin, J. M. T. Wu, P. Fournier-Viger, Y. Djenouri, C. H. Chen and Y. Zhang, "A sanitization approach to secure shared data in an IoT environment," IEEE Access, Vol. 7, pp. 25359 - 25368, February, 2019. (SCI)

39.    J. M. T. Wu, J. C. W. Lin, P. Fournier-Viger, Y. Djenouri, C. H. Chen, Z. Li, "The density-based clustering method for privacy-preserving data mining," Mathematical Biosciences and Engineering, Vol. 16, No. 3, pp. 1718-1728, 2019. (SCI)

40.    C. H. Chen, C. Y. Lu and C. B. Lin, "An intelligence approach for group stock portfolio optimization with a trading mechanism," Knowledge and Information Systems, 21 March 2019. (SCI) (DOI:10.1007/s10115-019-01353-2)

41.    C. H. Chen, J. S. He, T. P. Hong and S. R. Kannan, "Post-analysis framework for mining actionable patterns using clustering and genetic algorithms," IEEE Access, Vol. 7, No. 1, pp. 108101-108115, 01 December 2019. (SCI)

42.    C. H. Chen, B. Y. Chiang, T. P. Hong, D. C. Wang, J. C. W. Lin and M. Gankhuyag, "A fuzzy GGA-based approach to speed up the evolutionary process for diverse group stock portfolio optimization," Journal of Intelligent & Fuzzy Systems, Vol. 37, No. 6, pp. 7465 - 7479, 2019. (SCI)

43.    C. H. Chen, C. Y. Lu, T. P. Hong, J. C. W. Lin and M. Gaeta, "An effective approach for the diverse group stock portfolio optimization using grouping genetic algorithm," IEEE Access, Vol. 7, pp. 155871 - 155884, 2019. (SCI)

44.    T. Y. Wu, J. C. W. Lin, U. Yun, C. H. Chen, G. Srivastava and X. Lv, "An efficient algorithm for mining fuzzy frequent itemsets," Journal of Intelligent & Fuzzy Systems, Vol. 38, No. 5, pp. 5787-5797, 29 May 2020. (SCI)

45.    C. H. Chen, H. Chou, T. P. Hong and Y. Nojima, “Cluster-based membership function acquisition approaches for mining fuzzy temporal association rules,” IEEE Access, Vol. 8, pp. 123996-124006, 22 June 2020. (SCI)

46.    Terry H. Y. Chiu, C. W. Wu and C. H. Chen*, “A generalized wine quality prediction framework by evolutionary algorithms,” International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 6, No. 7, pp. 60-70, 1 September 2021. (SCI)

47.    C. H. Chen, P. Shih, G. Srivastava, S. T. Hung, J. C. W. Lin, “Evolutionary trading signal prediction model optimization based on Chinese news and technical indicators in the internet of things,” IEEE Internet of Things Journal, pp. 1-12, 03 June 2021. (SCI)

48.    C. H. Chen, W. H. Lai, S. T. Hung and T. P. Hong, “An advanced optimization approach for long-short pairs trading strategy based on correlation coefficients and Bollinger bands,” Applied Sciences, Vol. 12, No. 3, 1052, pp. 1-26, 2022. (SCI)

49.    C. H. Chen, P. Y. Chen and J. C. W. Lin, “An ensemble classifier for stock trend prediction using sentence-level Chinese news sentiment and technical indicators,” International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 7, No. 3, March 2022. (SCI)

50.    J. C. W. Lin; Q. Lv; D. Yu; G. Srivastava and C. H. Chen*, “Adaptive particle swarm optimization model for resource leveling,” Evolving Systems, March 2022. (https://doi.org/10.1007/s12530-022-09420-w) (SCI)

51.    T. P. Hong, C. C. Kao, S. W. Chen and C. H. Chen, “Mining multiplex interaction relationships from usage records in social networks,” Intelligent Data Analysis, Vol. 26, no. 4, pp. 993–1005, 2022. (SCI)

52.    T. P. Hong, C. C. Chiu, J. H. Su and C. H. Chen, “Applicable metamorphic testing for erasable-itemset mining,” IEEE Access, Vol. 10, pp. 38545-38554, 2022 (doi: 10.1109/ACCESS.2022.3165656). (SCI)

53.    T. P. Hong, C. H. Chen, Y. K. Li and M. T. Wu, “Using fuzzy c-means to discover concept-drift patterns for membership functions,” Transactions on Fuzzy Sets and Systems, Vol. 1, No. 2, pp. 21-31, 2022.

54.    J. C. W. Lin, Q. Lv, D. Yu*, G. Srivastavae, C. H. Chen*, “Optimized scheduling of resource-constraints in projects for smart construction,” Information Processing and Management, Vol. 59, No. 5, pp. 103005, 2022. (SCI)

55.    D. Yu, Q. Lv, G. Srivastava, C. H. Chen*; Jerry Chun-Wei Lin*, “Multi-objective evolutionary model of the construction industry based on network planning,” IEEE Transactions on Industrial Informatics, Vol. 19, No. 2, pp. 2173 – 2182, February 2023. (SCI)

56.    C. H. Chen, S. T. Hung, P. T. Chen, C. S. Wang and R. D. D. Chiang, “A memetic-based technical indicator portfolio and parameters optimization approach for finding trading signals to construct transaction robot in smart city era,” Intelligent Data Analysis, Vol. 27, No. 5, pp 1433–1456, January 2023. (SCI)

57.    C. H. Chen, C. Y. Lu, R. D. Chiang, G. Srivastava, Jerry C. W. Lin, “An evolutionary-based approach for optimising diverse group stock portfolio with active and inactive stocks,” Enterprise Information Systems, Vol. 17, No. 8, pp. 2180328, February 2023. (SCI)

58.    C. H. Chen*, J. Coupe, T. P. Hong*, “An accelerated optimization approach for finding diversified industrial group stock portfolios with natural group detection,” Mathematics, Vol. 11, No. 14, pp. 3144, July, 2023.

59.    K. Chideme and C. H. Chen*, “Efficient and effective group trading strategy portfolio optimization technologies based on island-based optimization algorithms with different migration strategies,” submitted to The Journal of Supercomputing, 2024.

Book Chapters

1.        T. P. Hong, C. H. Chen, Y. L. Wu and Vincent S. Tseng, "Finding active membership functions in fuzzy data mining," The Foundation of Data Mining and Discovery, Springer Verlag, 2005.

2.        T. P. Hong, C. H. Chen and Vincent S. Tseng, "Genetic-fuzzy data mining techniques," Encyclopedia of Complexity and Systems Science, 2008.

3.        T. P. Hong, C. H. Chen and Jerry Lin, "A survey on fuzzy data mining techniques," Springer Book, 2016.

 

Conference Papers

1.         T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Mining membership functions and fuzzy association rules," 2003 The Joint Conference on AI, Fuzzy System, and Grey System, 2003.

2.         T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Using divide-and-conquer GA strategy in fuzzy data mining, " The Ninth IEEE Symposium on Computers and Communications, 2004.

3.         T. P. Hong, C. H. Chen, Y. L. Wu and S. M. Tseng, "Finding active membership functions in fuzzy data mining," The Workshop on Foundations of Data Mining in The Fourth IEEE International Conference on Data Mining, 2004.

4.         T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Mining membership functions and fuzzy association rules using genetic algorithms," The Twelfth National Conference on Fuzzy Theory and Its Applications, 2004.

5.         C. H. Chen, T. P. Hong and V. S. M. Tseng, "Analyzing time-series data by fuzzy data-mining technique," The 2005 IEEE International Conference on Granular Computing, Vol. 1, pp. 112-117, 2005.

6.         C. H. Chen, T. P. Hong and V. S. M. Tseng, "Mining linguistic trends from time series," The Workshop on Foundations of Semantic Oriented Data and Web Mining in The Fifth IEEE International Conference on Data Mining, 2005.

7.         Vincent S. Tseng, Y. H. Chen, C. H. Chen and J. W. Shin, "Mining fuzzy association patterns in gene expression databases," The International Conference on Artificial Intelligence and Applications, 2005. (Excellent Paper Award)

8.         C. H. Chen, T. P. Hong and Vincent S. Tseng, "A cluster-based fuzzy-genetic mining approach for association rules and membership functions," The IEEE International Conference on Fuzzy Systems, pp. 1411-1416, 2006.

9.         C. H. Chen, T. P. Hong and Vincent S. Tseng, "A less domain-dependent fuzzy mining algorithm for frequent trends," The IEEE International Conference on Fuzzy Systems, pp. 851-856, 2006.

10.     Vincent S. Tseng, C. H. Chen, C. H. Chen and T. P. Hong, "Segmentation of time series by the clustering and genetic algorithms," The Workshop on Foundation of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data in The Fifth IEEE International Conference on Data Mining, pp. 443-447, 2006.

11.     曾新穆, 陳俊豪, 陳小明, 張慧真和尤進泰, "以資料探技術建立藥品調劑疏失之分析與預防模型," 第十一屆人工智慧與應用研討會, 2006.

12.     Vincent S. Tseng, C. H. Chen, H. M. Chen, H. J. Chang and C. T. Yu, "Using data mining techniques for analysis and prevention of dispension errors," The Workshop on Computational Intelligence on Biomedical Engineering in The IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp. 65-70, 2007.

13.     C. H. Chen, T. P. Hong and Vincent S. Tseng, "A comparison of different fitness functions for extracting membership functions used in fuzzy data mining," IEEE Symposium on Foundations of Computational Intelligence, pp. 550-555, 2007.

14.     C. H. Chen, T. P. Hong, Vincent S. Tseng and C. S. Lee, "A genetic-fuzzy mining approach for items with multiple minimum supports," The IEEE International Conference on Fuzzy Systems, pp. 1-6, 2007.

15.     C. H. Chen, T. P. Hong and Vincent S. Tseng, "A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy," The IEEE Congress on Evolutionary Computation, pp. 1-6, 2007.

16.     C. H. Chen, T. P. Hong, Vincent S. Tseng, "A cluster-based genetic-fuzzy mining approach for items with multiple minimum supports," The Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 864-869, 2008.

17.     C. H. Chen, T. P. Hong and Vincent S. Tseng, "A brief survey of genetic-fuzzy data mining techniques," International Conference on Advanced Information Technologies, 2008.

18.     C. H. Chen, T. P. Hong and Vincent S. Tseng, "A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports," The IEEE International Conference on Fuzzy Systems, pp. 1231-1235, 2008.

19.     Vincent S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, "A cluster-based genetic approach for segmentation of time series and pattern discovery," The IEEE Congress on Evolutionary Computation, pp. 1949-1953, 2008.

20.     蔡明哲, 曾新穆, 陳俊豪, 陳小明和郭瑞意, "全齡層隨身健康促進之情境規劃," 2008國際健康資訊管理研討會.

21.     曾新穆, 陳俊豪和趙茂偉, "運用資料探技術由腦波訊號建立喚醒偵測模型," 2008國際健康資訊管理研討會.

22.     C. H. Chen, T. P. Hong, Vincent S. Tseng and L. C. Chen, "A multi-objective genetic-fuzzy mining algorithm," The 2008 IEEE International Conference on Granular Computing, 2008.

23.     T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, "Learning membership functions in Takagi-Sugeno fuzzy systems by genetic algorithms," The Asian Conference on Intelligent Information and Database Systems, 2009.

24.     C. H. Chen, T. P. Hong, Vincent S. Tseng, "Speeding up genetic-fuzzy mining by fuzzy clustering," The IEEE International Conference on Fuzzy Systems, pp. 1695–1699, 2009.

25.     C. H. Chen, T. P. Hong, Vincent S. Tseng, "A SPEA2-based genetic-fuzzy mining algorithm," The IEEE International Conference on Fuzzy Systems, pp. 1-5, 2010.

26.     Chun-Hao Chen, Wen-Yang Lin, Yi-Ching Chen and He-Yi Li, "Mining indirect associations over data streams," The International Conference of System Science and Engineering, 2010.

27.     Chun-Hao Chen, Lien-Chin Chen, Tzung-Pei Hong and Vincent S. Tseng, "A cluster-based divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports," The Conference on Technologies and Applications of Artificial Intelligence, 2010.

28.     H. H. Yu, Vincent S. Tseng, C. H. Chen and T. P. Hong, "A PIP-based evolutionary approach for time series segmentation and pattern discovery," The International Computer Symposium, 2010.

29.     H. H. Yu, Vincent S. Tseng, C. H. Chen and T. P. Hong, "Time series pattern discovery with granular computing concept," iCube, 2010.

30.     Y. C. Lee, T. P. Hong and C. H. Chen, "Mining generalized association rules with quantitative data under multiple support constraints," International Conference on Computational Collective Intelligence, LNAI 6422, pp. 224-231, Kaohsiung, Taiwan, Nov., 2010.

31.     W. Y. Lin, Y. E. Wei and C. H. Chen, "Mining indirect associations over streaming data—A generic approach," International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), 2011. (also in Lecture Notes in Computer Science, Vol. 6703/2011, pp. 95-104, 2011, DOI: 10.1007/978-3-642-21822-4_11)

32.     C. H. Chen, T. P. Hong and S. B. Lin, "Mining fuzzy temporal knowledge from quantitative transactions," International Conference on System Science and Engineering, pp. 405-409, 2011.

33.     G. C. Lan, T. P. Hong, Vincent S. Tseng and C. H. Chen, "Using pruning and filtering strategies to speed-up projection-based utility mining," International Conference on System Science and Engineering, pp. 400-404, 2011.

34.     C. H. Chen, T. P. Hong and Y. C. Lee, "A multiple-level genetic-fuzzy mining algorithm," The IEEE International Conference on Fuzzy Systems, pp. 278-282, 2011.

35.     G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin "A fuzzy approach for mining general temporal association rules in a publication database," International Conference On Hybrid Intelligent Systems, pp. 611-615, 2011.

36.     G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin, "Mining fuzzy temporal association rules with effective lifespans of items," The Cross-Strait Conference on Information Science and Technology and iCube, 2011.

37.     C. H. Chen, A. F. Li, T. P. Hong and Y. C. Lee, "Mining fuzzy coherent rules from quantitative transactions without minimum support threshold," The IEEE International Conference on Fuzzy Systems, pp. 1779-1783, 2012.

38.     T. P. Hong, F. S. Lin and C. H. Chen, "Using the group genetic algorithm for attribute clustering," The IEEE Congress on Evolutionary Computation, pp. 2352-2356, 2012.

39.     C. H. Chen, A. F. Li and Y. C. Lee, "A high coherent utility fuzzy itemsets mining algorithm," The International Conference on Information Security and Intelligent Control, pp.114-117, 2012.

40.     C. H. Chen and A. F. Li, "A study on fuzzy coherent data-mining techniques," The International Conference on Fuzzy Theory and Its Applications, 2012.

41.     C. H. Chen, J. S. He, T. P. Hong and W. T. Lin, "MOGA for multi-level fuzzy data mining," The IEEE International Conference on Granular Computing, pp. 1-5, 2012.

42.     C. H. Chen, G. C. Lan, Y. K. Lin and T. P. Hong, "A high coherent association rule mining algorithm," International Conference on Artificial Intelligence and Applications, pp. 1-5, 2012.

43.     陳品安, 張仲良, 郭政偉, 陳俊豪, "領域衍伸為基礎的高利率選股模型," 第十七屆人工智慧與應用研討會, 2012.

44.     C. H. Chen, J. S. He and T. P. Hong, "A two-stage multi-objective genetic-fuzzy mining algorithm," The IEEE Symposium Series on Computational Intelligence, pp. 1-5, 2013.

45.     C. H. Chen and J. S. He, "MOGA-based multi-level genetic-fuzzy mining techniques," The National Conference on Fuzzy Theory and Its Applications, 2013.

46.     C. H. Chen, Y. C. Hsieh and Y. C. Lee, "The YTM-based stock portfolio mining approach by genetic algorithm," The IEEE International Conference on Granular Computing, pp. 38-42, 2013.

47.     Eric H. C. Lu, J. H. Hong, Zeal L. T. Su and C. H. Chen, "A fuzzy data mining approach for remote sensing image recommendation," The IEEE International Conference on Granular Computing, pp. 213-218, 2013.

48.     C. H. Chen, Yu Li, T. P. Hong, "Multi-level genetic-fuzzy mining with a tuning mechanism," The Asian Conference on Intelligent Information and Database Systems, 2014. also in Lecture Notes in Computer Science, Vol. 8398, pp 82-89, 2014.

49.     Y. Li, C. H. Chen, T. P. Hong and Y. C. Lee, "Genetic-fuzzy mining with type-2 membership functions," The IEEE International Conference on Fuzzy Systems, pp. 1985 - 1989, 2014.

50.     C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, "A projection-based approach for mining highly coherent association rules," The Euro-China Conference on Intelligent Data Analysis and Applications, 2014.

51.     C. H. Chen and C. Y. Hsieh, "A multi-objective genetic stock portfolio mining approach with investor's requests," The IEEE International Conference on Granular Computing, pp. 30-34, 2014.

52.     Y. C. Lee, Q. F. Qi, T. P. Hong and C. H. Chen, "A GA-based scheduling algorithm on parallel machines with heterogeneous mounted molds," The IEEE International Conference on Granular Computing, 2014.

53.     T. P. Hong, C. H. Chen and F. S. Lin, "Cluster-based group genetic algorithm for attribute clustering," International Conference on Fuzzy Theory and Its Applications, 2014.

54.     C. H. Chen, Y. Li and T. P. Hong, "Fuzzy association rule mining with type-2 membership functions" The Asian Conference on Intelligent Information and Database Systems, also in Lecture Notes in Computer Science, Vol. 9012, pp. 128-134, 2015.

55.     C. H. Chen, C. B. Lin and C. C. Chen, "Mining group stock portfolio by using grouping genetic algorithms," The IEEE Congress on Evolutionary Computation, pp. 738 - 743, 2015.

56.     C. H. Chen, Y. Li, T. P. Hong, Y. K. Li and E. H. C. Lu, "A GA-based approach for mining membership functions and concept-drift patterns," The IEEE Congress on Evolutionary Computation, pp. 2961 - 2965, 2015.

57.     C. H. Chen, C. Y. Lu and C. H. Yu, "SAX-based group stock portfolio mining approach," The International Conference on Network-Based Information Systems, pp. 280-285, 2015.

58.     T. P. Hong, J. C. Chen, W. Y. Lin and C. H. Chen, "Analysis of parallel sub-swarm PSO with the same total particle numbers," The International Conference on Network-Based Information Systems, 2015.

59.     C. H. Chen and C. C. Chen, "Map-reduced based approach for mining group stock portfolio," ASE BigData, 2015.

60.     C. H. Chen, Y. Li and T. P. Hong, "Type-2 genetic-fuzzy mining with tuning mechanism," The Conference on Technologies and Applications of Artificial Intelligence, 2015.

61.     T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining fuzzy concept-drift patterns from quantitative database change," International Conference on Fuzzy Theory and Its Applications, 2015.

62.     T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining drift of fuzzy membership functions" The Asian Conference on Intelligent Information and Database Systems, 2016.

63.     C. H. Chen, C. Y. Lu, T. P. Hong and J. H. Su, "Using grouping genetic algorithm to mine diverse group stock portfolios," The IEEE Congress on Evolutionary Computation, pp. 4734-4738, 2016.

64.     T. P. Hong, Y. Y. Liu, M. T. Wu, C. H. Chen and L. S. L. Wang, "Genetic-fuzzy mining with MapReduce," The IEEE International Conference on Systems, Man, and Cybernetics, pp. 3294-3298, 2016.

65.     C. H. Chen, J. Coupe and T. P. Hong "Optimizing diverse group stock portfolio without setting a number of groups," The IEEE International Conference on Advanced Information Networking and Applications, pp. 594-598, 2017.

66.     C. H. Chen, W. Y. Shen, T. P. Hong and J. H. Su, "An island-based algorithm for group stock portfolio optimization," Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, pp.1-5, 2017.

67.     C. H. Chen, Y. H. Chen and M. E. Wu, "A GGA-based algorithm for group trading strategy portfolio optimization," The Multidisciplinary International Social Networks Conference, pp. 1-5, 2017.

68.     C. H. Chen and C. H. Yu, "A PIP-based approach for optimizing a group stock portfolio by grouping genetic algorithm," The International Conference on Genetic and Evolutionary Computing, 2017.

69.     洪宗貝, 高冀正, 陳翔維, 陳俊豪, "從社群網路用戶使用記錄探階層互動關係及其應用," 臺灣網際網路研討會, pp. 141-144, 2017.

70.     C. H. Chen and H. Chou, "Fuzzy temporal association rule acquisition technique with membership function tuning mechanism," International Conference on Fuzzy Theory and Its Applications, 2017.

71.     C. H. Chen, T. P. Hong and S. C. Chu, "Diverse group stock portfolio optimization based on investor sentiment index," The Conference on Technologies and Applications of Artificial Intelligence, 2017.

72.      C. H. Chen, B. Y. Chiang, T. P. Hong, D. C. Wang  and Jerry C. W. Lin, "An approach for diverse group stock portfolio optimization using the fuzzy grouping genetic algorithm," The Asian Conference on Intelligent Information and Database Systems, 2018.

73.      C. H. Chen, C. Y. Lu and J. H. Su, "An enhanced approach for diverse group stock portfolio optimization using the grouping genetic algorithm," IEEE International Conference on Knowledge Innovation and Invention, 2018.

74.       C. H. Chen, Y. H. Chen, M. E. Wu and T. P. Hong, "A sophisticated optimization algorithm for obtaining a group trading strategy portfolio and its stop-loss and take-profit points," IEEE International Conference on Systems, Man, and Cybernetics, 2018.

75.       C. H. Chen, B. Y. Chiang and T. P. Hong, "An approach for optimizing group stock portfolio using multi-objective genetic algorithm," International Conference on Behavioral, Economic, and Socio-Cultural Computing, 2018.

76.       J. C. W. Lin, Y. Zhang, C. H. Chen, J. M. T. Wu, C. M. Chen and T. P. Hong, "A multiple objective PSO-based approach for data sanitization," The Conference on Technologies and Applications of Artificial Intelligence, 2018.

77.       T. P. Hong, Y. C. Yang, J. H. Su and C. H. Chen, "Content-based motorcycle counting for traffic management by image recognition," The Asian Conference on Intelligent Information and Database Systems, pp. 180-188, 2019.

78.       C. H. Chen, W. Y. Shen, M. E. Wu and T. P. Hong, "A divide-and-conquer-based approach for diverse group stock portfolio optimization using island-based genetic algorithms," The IEEE Congress on Evolutionary Computation, 2019.

79.       C. H. Chen and P. Shih, "A stock trend prediction approach based on chinese news and technical indicator using genetic algorithms," The IEEE Congress on Evolutionary Computation, 2019.

80.       C. H. Chen, C. Y. Cheng, M. E. Wu, K. W. Lin, J. C. W. Lin and T. P. Hong, "An evolutionary-based algorithm for multi-period grouping stock portfolio optimization," IEEE International Conference on Systems, Man, and Cybernetics, 2019.

81.       C. H. Chen, M. Gankhuyag, T. P. Hong, M. E. Wu, J. M. T. Wu, "A multiobjective-based group trading strategy portfolio optimization technique," The International Conference on Genetic and Evolutionary Computing, 2019.

82.       C. H. Chen, C. K. Fan and T. P. Hong, "Construction of an intelligent tennis coach based on Kinect and a sensor-based tennis racket," The Asian Conference on Intelligent Information and Database Systems, 2020.

83.       J. H. Syu, M. E. Wu, C. H. Chen and J. M. Ho, "Threshold-adjusted orb strategies with genetic algorithm and protective closing strategy on Taiwan futures market," International Conference on Acoustics, Speech, and Signal Processing, 2020.

84.       T. H. Y. Chiu, C. W. Wu and C. H. Chen*, "A hybrid wine classification model for quality prediction," Workshop on Integrated Artificial Intelligence in Data Science, Jointed with ICPR, 2020.

85.       C. H. Chen, Y. T. Lin, S. T. Hung and M. E. Wu, "Forecasting stock trend based on the constructed anomaly-patterns based decision tree," The Asian Conference on Intelligent Information and Database Systems, 2021.

86.       C. H. Chen, C. Y. Ye, Y. C. Lee and T. P. Hong, "A SPEA-based group trading strategy portfolio optimization algorithm," The Asian Conference on Intelligent Information and Database Systems, 2021.

87.       C. H. Chen, Y. Q. Huang and T. P. Hong, "An effective approach for genetic-fuzzy mining using the graphics processing unit," International Conference on Advances in Information Mining and Management, pp. 7 to 11, 2021.

88.       C. H. Chen, W. H. Lai and T. P. Hong, "An effective correlation-based pair trading strategy using genetic algorithms," International Conference on Computational Collective Intelligence, pp. 255-263, 2021.

89.       C. H. Chen, Y. C. Yang and J. C. W. Lin, “An association-based optimization algorithm for extracting summarization from multiple documents,” accepted and to appear in International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, July 19 – July 22, 2022, Kitakyushu, Japan.

90.       C. H. Chen, Y. Q. Huang and T. P. Hong, “Using GPUs to speed up genetic-fuzzy data mining with evaluation on all large itemsets,” The Asian Conference on Intelligent Information and Database Systems, pp. 17-26, November 28-30, 2022, Ho Chi Minh City, Vietnam.

91.       C. H. Chen, W. H. Lai, K. Chideme and T. P. Hong, “GPU-based Advanced Long-Short Pair Trading Strategy Optimization Technique,” Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, Nov 29, 2022 - Dec 2, 2022, Ise-Shima, Mie prefecture, Japan.

92.       彭元俊, 許閔修, 林柏翰, 黃鄭, 陳俊豪*, “進階之群組交易策略投資組合最佳化技術研發與實作,” 離島資訊技術與應用研討會, 宜蘭, 台灣, 525~28, 2023.

93.       C. H. Chen, C. Y. Huang, M. S. Pan, “An improved optimization algorithm to find suitable technical indicators for identifying low-risk trading signals,” International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan), pp. 103-104, July 17-19, 2023, Pingtung, Taiwan.

94.       C. H. Chen, S. C. Wang, M. E. Wu and Kawuu W. Lin, “Enhancing abnormal-behavior-based stock trend prediction algorithm with cost-sensitive learning using genetic algorithms,” The Asian Conference on Intelligent Information and Database Systems, pp.186-196, July 24-26, 2023, Phuket, Thailand.

95.       S. H. Lee, J. C. Ni, Y. C. Shen, H. C. Ku, C. S. Yang, K. W. Huang and C. H. Chen, “Improved U-Net based on dual attention mechanism for glottis segmentation and dysphagia auxiliary diagnosis,” The Asian Conference on Intelligent Information and Database Systems, pp. 234–243, July 24-26, 2023, Phuket, Thailand.

96.       T. P. Hong, Y. P. Hsu, C. H. Chen and J. M. T. Wu, “A federated mining framework for complete frequent itemsets,” The IEEE International Conference on Systems, Man, and Cybernetics, October 1-4, 2023, Honolulu, Oahu, Hawaii, USA.

97.       Y. C. Lee, T. P. Hong, Y. C. Chiu and C. H. Chen, “A GA-based scheduling algorithm for semiconductor-product thermal cycling tests,” The International Conference on Genetic and Evolutionary Computing, October 6-8, 2023, Kaohsiung, Taiwan.

98.       C. H. Chen, Y. C. Liu, Y. D. Lin and M. E. Wu, “A memetic approach for trading strategy portfolio optimization based on the mean-semivariance model,” The International Conference on Intelligent Computing and its Emerging Applications, 2023.

99.       K. Chideme and C. H. Chen*, “An efficient group trading strategy portfolio optimization algorithm,” International Conference on Intelligent Systems Design and Applications, December 11-13, 2023. Kochi, India.

100.   C. H. Chen, L. W. Hsu and T. P. Hong, “An optimization approach for finding diverse trading strategy portfolio using the memetic algorithm,” The Asian Conference on Intelligent Information and Database Systems, April 15-18 , 2024, Ras Al Khaimah, UAE.

101.   T. P. Hong, M. J. Kuo, C. H. Chen and S. M. Li, “Federated erasable-itemset mining with quasi-erasable itemsets,The Asian Conference on Intelligent Information and Database Systems, April 15-18 , 2024, Ras Al Khaimah, UAE.

102.   陳俊豪, 毛煒鈞, 陳思雅, 梁富文, “BERT 為基礎之兒少傷害判決書分類器建置技術,” 離島資訊技術與應用研討會, 金門, 台灣, 524~26, 2024.

103.   T. P. Hong, M. J. Kuo, C. H. Chen and Katherine S. M. Li, “A federated mining framework for complete erasable itemsets,” submitted to IEEE International Conference on Systems, Man, and Cybernetics, 6 - 10 October, 2024, Borneo Convention Centre Kuching, Sarawak, Malaysia.

104.   K. Chideme and C. H. Chen* and T. P. Hong, “A diverse group trading strategy portfolio optimization algorithm based on network modularity,” submitted to IEEE International Conference on Systems, Man, and Cybernetics, 6 - 10 October, 2024, Borneo Convention Centre Kuching, Sarawak, Malaysia.