Curriculum Vitae
ChunHao Chen (³¯«T»¨) , Ph.D.
Ph.D., Dept. of
Computer Science and Information Engineering, National Cheng Kung
University (°ê¥ß¦¨¥\¤j¾Ç),
Taiwan, 2008. +Google Scholar Citation: 1716, Hindex: 23 Contact
Information: +Email: chchen6814@gmail.com, chchen@ntut.edu.tw 

Biographic
ChunHao 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, FuzzIEEE, 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 PatternDriven 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, KnowledgeBased 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 (20152023), TAAI (20172023), SOICT (2023), ISDA
(2023), ACM ICEA (2023), IEA/AIE (2022), DSAA (2020, 2021), PAKDD (20132020,
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. TzungPei Hong) 
2002.09  2004.06 
M.S., Dept. of Information Management, IShou University, Taiwan. (Advisors:
Prof. YuLung Wu and Prof. TzungPei Hong) 
1998.09  2002.06 
B.S., Dept. of Information Management, IShou University, Taiwan. (Major) B.B.A ., Dept. of Finance, IShou 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 ¡V now 
Vice Dean 
Computer and Network Center at National Kaohsiung University
of Science and Technology, Kaoshiung, Taiwan. 
2023.08 ¡V now 
Division Chief 
Software Development
Division in Computer and Network Center at National Kaohsiung University
of Science and Technology, Kaoshiung, Taiwan. 
2022.08 ¡V now 
Professor 
Department of Computer
Science and Information Engineering at National Kaohsiung University
of Science and Technology, Kaoshiung, Taiwan. 
2020.02 ¡V 2022.07 
Associate Professor 
Department of Information and
Finance Management at National Taipei University of Technology, Taipei,
Taiwan. 
2017.08 ¡V
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 ¡V 2024.12 
¹q¼ß¹q©Ê»P¥ú©Ê¤§¼ÆÈ¤ÀªR (¥D«ù¤H) 
ª÷ÄÝ¤u·~¬ã¨sµo®i¤¤¤ß 
2022.08 ¡V 2024.07 
¦h¨Ó·½°]ª÷·s»DºKnÂ^¨ú»P±¡ºü¬°°òÂ¦¤§ªÑ²¼ÁÍ¶Õ¹w´ú³Ì¨Î¤Æ§Þ³N(NSC 1112221E992088MY2)(¥D«ù¤H) 
°ê¬ì· (160¸U) 
2020.11 
2021.10 
Utilizing
Statistical Learning for Probability Prediction Model Analysis (MOST
1092622E027032)(PI) ¹B¥Î²Îp¾Ç²ß¤èªk¶i¦æ¾÷²v¹w´ú¼Ò«¬¤ÀªR(MOST 1092622E027032)(¥D«ù¤H) 
¬ì§Þ³¡ (77¸U) 
2020.08  2020.12 
´¼¼z¬ì§ÞÀ³¥Î©ó¤¤¤p¥ø·~Â¾³õ¦M®`¹w¨¾§Þ³N¶}µo, ³Ò°Ê³¡³Ò°Ê¤ÎÂ¾·~¦w¥þ½Ã¥Í¬ã¨s©Ò(ILOSH1090067)
(¦@¦P¥D«ù¤H, CoPI) 
³Ò¬ã©Ò (208¸U) 
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) (CoPI) ³Ò¤u°·±d¼Æ¾Ú¸ê®Æ¤ÀªR»PÅçÃÒ¬ã¨s, ³Ò°Ê³¡³Ò°Ê¤ÎÂ¾·~¦w¥þ½Ã¥Í¬ã¨s©Ò (ILOSH1080040) (¦@¦P¥D«ù¤H) 
³Ò¬ã©Ò (298¸U) 
2019.08 
2019.07 
MultiPeriod
HighDimension based Group Stock Portfolio Optimization Techniques and AIoT
RoboAdvisor System (MOST 1082221E032037) (PI) ¦h°Ï¶¡°ªºû«×¬°°òÂ¦¤§¸s²ÕªÑ²¼§ë¸ê²Õ¦X³Ì¨Î¤Æ§Þ³N»P´¼¼zª«Áp²z°]ÅU°Ý¨t²Î (MOST 1082221E032037)
(¥D«ù¤H) 
¬ì§Þ³¡ (95¸U) 
2017.08 
2019.07 
Groupinggenetic
fuzzy group stock portfolio optimization techniques with trading strategies
(MOST 1062221E032049MY2)(PI) ¨ã¾Ü®É¾÷¨î¤§¸s²Õ¿ò¶Ç¦¡¼Ò½k¸s²ÕªÑ²¼§ë¸ê²Õ¦X³Ì¨Î¤Æ§Þ³N(MOST 1062221E032049MY2) (¥D«ù¤H) 
¬ì§Þ³¡ (148¸U) 
2016.08 
2017.07 
IslandGGAbased
fuzzy diverse group stock portfolio mining techniques (MOST
1052221E032057)(PI) ®q¸s¦¡¸s²Õ¿ò¶Ç¬°°òÂ¦ªº¼Ò½k¦h¼Ë¸s²ÕªÑ²¼§ë¸ê²Õ¦X±´°É§Þ³N(MOST 1052221E032057) (¥D«ù¤H) 
¬ì§Þ³¡ 
2015.08 
2016.07 
The GGAbased
efficient and effective high dimension fuzzy diverse group stock
portfolio mining techniques (MOST 1042221E032040)(PI) ¸s²Õ¿ò¶Ç¬°°òÂ¦ªº¦³®Ä²v»P®Ä¯àªº°ªºû«×¼Ò½k¦h¼Ë¸s²ÕªÑ²¼§ë¸ê²Õ¦X±´°É§Þ³N(MOST 1042221E032040)
(¥D«ù¤H). 
¬ì§Þ³¡ 
2015.01  2017.12 
pºâ´¼¼z¤Î¨Mµ¦¤ä´©(¥xªkÂùÃä°ê»Ú¦X§@¬ã¨spµe¡A¥D«ù¤H: §õ°·¿³±Ð±Â¡A¦@¦P¥D«ù¤H: ÃC¤h²b±Ð±Â¡BªL¤å´±Ð±Â¡B³¯«T»¨°Æ±Ð±Â) (MOST 1042911I024501,
1052911I02450 1, 1062911I024501). 
¬ì§Þ³¡ 
2014.08 
2015.07 
Mapreduce based stable group
evolutionary stock portfolio optimization techniques (MOST 1032221E032
029) (PI) Mapreduce¬°°òÂ¦ªºÃ©w¸s²Õºt¤Æ¦¡ªÑ²¼§ë¸ê²Õ¦X³Ì¨Î¤Æ§Þ³N(MOST 1032221E032 029) (¥D«ù¤H). 
¬ì§Þ³¡ 
2013.04 
2016.03 
Fuzzy Clustering in Finding
Subtypes of Cancers in Large Cancer Medical Database (NSC2923E390001
MY3) (CoPI) ¦b¤j«¬Àù¯gÂå¾Ç¸ê料®w¤¤¤§Àù¯g¤l«¬¼Ò½k¤À¸s¬ã¨s (¥x¦LÂùÃä°ê»Ú¦X§@¬ã¨spµe¡A¥D«ù¤H: ¬x©v¨©±Ð±Â¡A°Ñ»P¤Hû: ¤ý¾Ç«G±Ð±Â¡BªL¤å´±Ð±Â¡B´¿·s¿p±Ð±Â¡B§õ°·¿³±Ð±Â¡BªL«Â¦¨±Ð±Â¡B³¯«T»¨°Æ±Ð±Â) (NSC2923E390001 MY3). 
¬ì§Þ³¡ 
2013.08  2014.07 
Utilizing Big Data for Building
Actionable Stable Stock Portfolio Selection Model (NSC 1022221E032 056) (PI) §Q¥Î¤j¸ê®Æ«Ø¸m¥i¦æ°ÊÃ©wªºªÑ²¼§ë¸ê²Õ¦X¿ï¾Ü¼Ò«¬(NSC 1022221E032 056) (¥D«ù¤H). 
°ê¬ì· 
2012.03  2013.02 
102¦~«×±Ð¨³¡¸ê°T³nÅé¤H¤~°ö¨±À¼spµe(¦@¦P¥D«ù¤H), AÃþ. 
±Ð¨³¡ 
2012.08 2013.07 
Research on
ActionableKnowledgeDiscoveryBased Fuzzy DataMining Techniques (NSC
1012221E03205 7) (PI) ¥i¦æ°Êª¾ÃÑµo±¸¬°°òÂ¦ªº¼Ò½k¸ê®Æ±´°É§Þ³N¤§¬ã¨s(NSC 1012221E03205 7) (¥D«ù¤H). 
°ê¬ì· 
2011.08  2012.07 
Research on
DomainDriven Time Series Data Mining Techniques (NSC 1002221E032 065)
(PI) »â°ìl¥Í¦¡®É¶¡§Ç¦C±´°É§Þ³N¤§¬ã¨s(NSC 1002221E032 065) (¥D«ù¤H). 
°ê¬ì· 
2011.03  2012.02 
101¦~«×±Ð¨³¡¸ê°T³nÅé¤H¤~°ö¨±À¼spµe(¦@¦P¥D«ù¤H), AÃþ. 
±Ð¨³¡ 
2010.08  2011.07 
Multilevel
GeneticFuzzy DataMining Techniques (NSC
992218E032 005) (PI) ¦h¶¥¼h¿ò¶Ç¼Ò½k±´°É§Þ³N¤§¬ã¨s(NSC
992218E032 005) (¥D«ù¤H). 
°ê¬ì· 
Honors
2024 
°ª¬ì¤j°ÝÃD»P±MÃD¾É¦V¾Ç²ß½Òµ{ ¡V PBL½Òµ{Àu¨}¼ú (¸ê®Æ±´°É)¡C 
2023 
Best Special Session Award, The
Asian Conference on Intelligent Information and Database Systems. 
2023 
°ª¬ì¤j°ÝÃD»P±MÃD¾É¦V¾Ç²ß½Òµ{ ¡V PBL½Òµ{¯SÀu¼ú (°ò¦]ºtºâªk)¡C 
2023 
°ª¬ì¤j112¾Ç¦~«×¼úÀy¯S®íÀu¨q¬ã¨s¤H¤~¡C 
2022 
¥_¬ì¤j110¾Ç¦~«×¼úÀy¯S®íÀu¨q±Ð¾Ç¤H¤~¡C 
2021 
¥_¬ì¤jºÞ°110¦~«×±Ð®v¬ã¨s¼úÀy¡C 
2019 
¬ì§Þ³¡¸É§U¤j±M®Õ°¼ú勵¯S®íÀu¨q¤H¤~¡C 
2017 
¬ì§Þ³¡¸É§U¤j±M®Õ°¼ú勵¯S®íÀu¨q¤H¤~¡C 
2018 
Best
Application Paper Award, 2018 IEEE ICKII. 
2016 
²H¦¿¤j¾ÇÀu¨}¾É®v¡C 
2016 
¬ì§Þ³¡¸É§U¤j±M®Õ°¼ú勵¯S®íÀu¨q¤H¤~¡C 
2015 
¬ì§Þ³¡¸É§U¤j±M®Õ°¼ú勵¯S®íÀu¨q¤H¤~¡C 
2015 
²H¦¿¤j¾Ç³Ç¥X¬ã¨s±Ð®v¼ú(16/746)¡C 
2014 
¬ì§Þ³¡¸É§U¤j±M®Õ°¼ú勵¯S®íÀu¨q¤H¤~¡C 
2013 
Best
Application Paper Award, The IEEE
International Conference on Granular Computing. 
2013 
Tamkang
University Distinguished Teaching Award (²H¦¿¤j¾Ç±Ð¾ÇÀu¨}±Ð®v). 
2013 
°ê¬ì·¸É§U¤j±M®Õ°¼ú勵¯S®íÀu¨q¤H¤~¡C 
2008 
Ph.D.
Dissertation Award, Taiwan Association for Artificial Intelligence (¤¤µØ¥Á°ê¤H¤u´¼¼z¾Ç·³Õ¤h論¤å¼ú). 
2008 
Best Paper
Award, The 3th International Symposium on Healthcare Information
Management (²Ä3©¡°ê»Ú°·±d¸ê°TºÞ²z¬ã°Q·, ³Ì¨Î½×¤å¼ú). 
2005 
Best Paper
Award, The 10th Conference on
Technologies and Applications of Artificial Intelligence, (²Ä10©¡¤¤µØ¥Á°ê¤H¤u´¼¼z¬ã°Q·, ³Ì¨Î½×¤å¼ú). 
Awards
2021 
«ü¾É¤j¾Ç¥ÍªL¬f¨°ºaÀò¬ì§Þ³¡¤j±M¥Í¬ã¨spµe¡A¨ãªÑ²¼ÁÍ¶Õ¹w´ú»P§ë¸ê²Õ¦X±ÀÂË¤§¾÷¾¹¤H²z°]ÅU°ÝÀ³¥Îµ{¦¡¤§¬ã¨s¹ê§@(110CFAA300046), 2021¡C 
2020 
«ü¾É¤j¾Ç¥Í¶À´Ñ²úºaÀò¬ì§Þ³¡¤j±M¥Í¬ã¨spµe¡AÀ³¥Î©ó¹w´ú¥«³õ¤§DPM¾÷¨îºô¶¬[ºc¹ê§@¤Î»ù®æ¨ç¼ÆÀu¤Æ(1092813C027021E),
2020¡C 
2019 
«ü¾ÉºÓ¤h¥ÍM. Gankhuyag½×¤åµoªí¡AÀò±o2019 ICGEC³Ì¨Î½×¤å¼ú¡CC. H. Chen, M.
Gankhuyag, T. P. Hong, M. E. Wu, J. M. T. Wu,
"A multiobjectivebased group trading strategy
portfolio optimization technique," The International Conference on Genetic
and Evolutionary Computing, 2019. (Excellent Paper Award) 
2019 
«ü¾É¤j¾Ç¥ÍÄ¬×d³Ç¡B¼B©Ó¿Î¡A¡u´¼¼zª«Áp³½µæ¦@¥Í¨t²Î¡v¡AÀò±o²H¦¿¤j¾Ç2019³Ð·s³Ð·~ÄvÁÉ¨Î§@¡C 
2018 
«ü¾ÉºÓ¤h¥Í½±ªÃ¬v¡AÀò¡y107¦~«×¤¤µØ¥Á°ê¼Ò½k¾Ç·³Ì¨ÎºÓ¤h½×¤å¼ú¡z¡C 
2017 
«ü¾ÉºÓ¤h¥Í§f©Ó¿Ù½×¤åµoªí¡AÀò2017 IEEE ICKII³Ì¨Î½×¤å¼ú¡C 
2017 
«ü¾ÉºÓ¤h¥Í©Pµ¾ (¥~Äy¥Í)¡AÀò¡y106¦~«×¤¤µØ¥Á°ê¼Ò½k¾Ç·ºÓ¤h½×¤å¼ú¨Î§@¡z¡C 
2016 
«ü¾ÉºÓ¤h¥Í§E§Ó§»¡AÀò¡y105¦~¥xÆWªÀ·ºôµ¸¾Ç·ºÓ¤h½×¤å¼ú¡z¡C 
2015 
«ü¾ÉºÓ¤h¥Í§õ¬R¡AÀò¡y104¦~¥xÆWªÀ·ºôµ¸¾Ç·ºÓ¤h½×¤å¼ú¡z¡C 
2014 
«ü¾É¾Ç¥ÍªL«h¨¥¡BJ®aºÍ¡B³\·ç¨¡AÀò²Ä¤T©¡¥þ°ê¤j±MITSA¬×µ{¦¡³]p®Û«a¬D¾Ô¤jÁÉ¡zÂôÃö²Õ¨Î§@¡C(103¦~6¤ë)¡C 
2013 
«ü¾ÉºÓ¤h¥ÍÁÂ´¹¦t½×¤åµoªí¡AÀò2013 IEEE GrC³Ì¨ÎÀ³¥Î½×¤å¼ú¡C 
2013 
«ü¾ÉºÓ¤h¥Í¦ó¦N°a¡AÀò¡y102¦~«×¤¤µØ¥Á°ê¼Ò½k¾Ç·ºÓ¤h½×¤å¼ú¡z¨Î§@¼ú¡C 
2013 
«ü¾É¾Ç¥Í¾G³Ç¤å¡BªL¸t²Þ¡BªL«h¨¥¡AÀò¡y²Ä¤G©¡¥þ°ê¤j±MITSA¬×µ{¦¡³]p®Û«a¬D¾Ô¤jÁÉ¡z¬D¾Ô²Õ¨Î§@¡C 
2012 
«ü¾É¾Ç¥Í¾G³Ç¤å¡BªL¸t²Þ¡BªL«h¨¥¡AÀò¡y101¦~«×²Ä2¦¸¥þ°ê¤j±MITSA¬×µ{¦¡³]p®Û«a¬D¾Ô¤jÁÉ¡z¬D¾Ô²Õ¨Î§@¡C 
2012 
«ü¾ÉºÓ¤h¥Í§õ¦ãªÚ¡AÀò¡y101¦~«×¤¤µØ¥Á°ê¼Ò½k¾Ç·ºÓ¤h½×¤å¼ú¡zºÞ²zÃþ¯SÀu¼ú¡C 
2012 
«ü¾É¤j¾Ç¥Í³¯«~¦wÀò°ê¬ì·¸É§U¤j±M¥Í±MÃDpµe¡Apµe¦WºÙ¡G¡y¥H»â°ìl¦ù¬°°òÂ¦ªº§ë¸ê¼Ò«¬«Ø¸m¡z¡Apµe½s¸¹:
1012815C032 013E¡C 
Invitated
Talks and Tutorials
2024.02 
¤H¤u´¼¼z§Þ³N©óª÷¿Ä¥«³õªº¼Æ¾Ú¤ÀªR»PÀ³¥Î¡V¥H¥æ©öµ¦²¤³Ì¨Î¤Æ¬°¨Ò¡A°ª¶¯Âå¾Ç¤j¾Ç¤j¼Æ¾Ú¬ã¨s¤¤¤ß¡A2024¡C 
2023.10 
ª÷¿Ä¸ê®Æ¤ÀªR»PÀ³¥Î¡V¥H°ò©ó¡u²§±`¯S¼x¡v¤§ªÑ²¼ÁÍ¶Õ¹w´ú¼Ò«¬«Ø¸m¬°¨Ò¡A¡u金¿Ä¬ì§Þ¡B´¼¼z»s³y¤Îª«聯ºô¤§À³¥Î§Þ³N¡vºØ¤l±Ð®v°ö°V¬ã°Q·¡A2023¡C 
2023.09 
ºt¤Æ§Þ³N©óª÷¿Ä¬ì§ÞªºÀ³¥Î¥H¥æ©öµ¦²¤²Õ¦X³Ì¨Î¤Æ¬°¨Ò¡A¸q¦u¤j¾Ç¸êºÞ¨t¡A2023¡C 
2023.05 
Evolutionary Technology for Finding MeanVariancebased
Trading Strategy Portfolio, Seminar on Activating
Participants Through Social Networks and Gamification in Undertourism
Areas: Emerging Technologies in Computer Sciences, 2526, May, 2023. 
2022.12 
ºt¤Æ§Þ³N¦b¥æ©öµ¦²¤²Õ¦X³Ì¨Î¤Æªº®×¨Ò¬ã°Q(Case Study of
Evolutionary Technology in Optimizing Trading Strategy Portfolio)¡A°ª¤j¸ê¤u¨t¡C 
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 PatternAssociation Discovery, Workshop of Activating
Participants Through Social Networks and Gamification in Undertourism
Areas: Artificial Intelligence and Data Mining Scheme (Virtual Workshop),
2021, June, 2022 
2021.10 
°ò©ó¸s»Eªº®É¶¡§Ç¦C¦æ¬°¼Ë¦¡³Ì¨Î¤Æ§Þ³N ¡V ¥HªÑ»ù§Ç¦C¤§§Þ³N¤ÀªR¬°¨Ò¡A®ü¤j¸ê¤u¨t¡C 
2020.12 
¹B¥Î³Ì¨Î¤Æ§Þ³N¦Û°Ê§ä´M®É¶¡§Ç¦C¦æ¬°¼Ë¦¡(Using
Optimization Algorithms for Finding Time Series Patterns)¡A°ª¬ì¤j¹q¾÷¨t¡C 
2020.11 
¤H¤u´¼¼z©óª÷¿Ä¼Æ¾Ú¤ÀªR»PÀ³¥Î(Artificial
Intelligence on Finance Data Analytic and Applications)¡A°ª¤j¸ê¤u¨t¡C 
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 
ª÷¿Ä¼Æ¾Ú¤ÀªR§Þ³N§ë¸ê²Õ¦X»P¥æ©öµ¦²¤³Ì¨Î¤Æ(Financial Data
Analytic Techniques ¡V Stock Portfolio and Trading Strategy Optimization)¡A°ª¬ì¤j¹q¾÷¨t¡C 
2018.09 
(±Â½Ò) °ª¬ì§Þ·~ª«Ápºô¥¥x¬[ºc»P¤j¼Æ¾Ú¦¬¶°, °ª¬ì§ÞÂ¾·~¦w¥þ½Ã¥Í»Pª«Ápºô¸ó°ì®Ö¤ß°V½m«Ø¸m¤§½Òµ{, ³Ò°Ê³¡³Ò°Ê¤ÎÂ¾·~¦w¥þ½Ã¥Í¬ã¨s©Ò¡C 
2018.08 
(±Â½Ò) ª«Ápºô§Þ³N»PÀ³¥Î, ¥Û¤Æ·~¦w½Ã¤Hû¹B¥Îª«Ápºô±j¤Æ¦w¥þºÞ²z, ³Ò°Ê³¡³Ò°Ê¤ÎÂ¾·~¦w¥þ½Ã¥Í¬ã¨s©Ò¡C 
2018.05 
¸s²ÕªÑ²¼§ë¸ê²Õ¦X»P¨ä³Ì¨Î¤Æ(Group Stock
Portfolio and Its Optimization)¡A«¢º¸ÀØ¤u·~¤j¾Ç(²`¦`)¡C 
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 
³Ì¨Î¤Æ§Þ³N©ó°]°Èª÷¿Ä¸ê®ÆÀ³¥Î¥HªÑ¥«§ë¸ê²Õ¦X¬°¨Ò(Optimization Techniques
and Applications on Financial Data ¡V Using Stock Portfolio as An Example)¡A¸q¦u¸êºÞ¡C 
2015.03 
Geneticfuzzy data mining from association to concept
drift pattern mining, Department of
Mathematics, Pondicherry University, Pondicherry, India. 
2015.03 
Geneticconcept drift pattern mining, International Conference on Computing and
intelligence systems (ICCIS 2015), Chennai, India. 
2015.03 
Fuzzy data mining techniques, The TKUUoA Bilateral Workshop Program, Taipei, Taiwan. 
2014.04 
¦b®É¶¡§Ç¦C»P°]°È¸ê®Æ¤Wªº¿ò¶Ç¬°°òÂ¦ªº¸ê®Æ±´°É§Þ³N(GAbased Data
Mining Techniques on Time Series and Financial Data)¡A°ª¬ì¤j¸ê¤u¨t¡C 
2014.03 
Geneticfuzzy mining techniques, The 2014 IndiaTaiwan 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 
ºt¤Æpºâ©ó®É¶¡§Ç¦C¤Á³Î»PªÑ¥«§ë¸ê²Õ¦X³Ì¨Î¤Æ§Þ³N(GAbased Time
Series Segmentation and Stock Portfolio Optimization Techniques)¡A¥x®v¤j¸ê¤u¨t¡C 
2012.05 
¦h¥Ø¼Ð¿ò¶Ç¼Ò½k¸ê®Æ±´°É(MultiObjective
GeneticFuzzy Data Mining)¡A°ª¬ì¤j¸ê¤u¨t¡C 
Publications
Journal Papers
1. T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "A GAbased fuzzy mining approach to achieve a tradeoff between number of rules and suitability of membership functions," Soft Computing, Vol. 10, No. 11, pp. 10911101. 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. 17, 2006. (SCI)
3. T. P. Hong, C. H. Chen, Y. C. Lee and Y. L. Wu, "Geneticfuzzy data mining with divideandconquer strategy," IEEE Transactions on Evolutionary Computation, Vol. 12, No. 2, pp. 252265, 2008. (SCI)
4. C. H. Chen, Vincent S. Tseng and T. P. Hong, "Clusterbased evaluation in fuzzygenetic data mining," IEEE Transactions on Fuzzy Systems, Vol. 16, No. 1, pp. 249262, 2008. (SCI)
5. C. H. Chen, T. P. Hong, Vincent S. Tseng and C. S. Lee, "A geneticfuzzy mining approach for items with multiple minimum supports," Soft Computing, Vol. 13, No. 5, pp. 521533, 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. 41474153, 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. 1001610024, 2009. (SCI)
8. Vincent S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, "Clusterbased genetic segmentation of time series with DWT," Pattern Recognition Letters, Vol. 30, pp. 11901197, 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. 305327, 2011. (SCI)
10. T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, "Evolutionarily adjusting membership functions in TakagiSugeno fuzzy systems," International Journal of Intelligent Information and Database Systems, Vol. 5, No. 3, pp. 229 ¡V 245, 2011. (EI)
11. C. H. Chen, T. P. Hong, Vincent S. Tseng, "Geneticfuzzy mining with multiple minimum supports based on fuzzy clustering," Soft Computing, Vol. 15, No. 12, pp. 23192333, 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. 114, 2011. (SCI))
13. C. H. Chen, T. P. Hong and Vincent S. Tseng, "Fuzzy data mining for timeseries data," Applied Soft Computing, Vol. 12, No. 1, pp. 536542, 2012. (SCI)
14. C. H. Chen, T. P. Hong, Vincent S. Tseng, "Finding Paretofront membership functions in fuzzy data mining," International Journal of Computational Intelligence Systems, Vol. 5, No. 2, pp. 343354, 2012. (SCI)
15. C. H. Chen, T. P. Hong, Vincent S. Tseng and L. C. Chen, "Multiobjective geneticfuzzy data mining," International Journal of Innovative Computing, Information and Control, Vol. 8, No. 10(A), pp. 65516568, 2012. (SCI)
16. C. H. Chen, T. P. Hong and Y. C. Lee, "Geneticfuzzy mining with taxonomy," International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, Vol. 20, No. 2, pp. 187205, 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. 16971712, 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," KnowledgeBased Systems, Vol. 36, pp. 5967, 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. 503523, 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. 34223428, 2013. (SCI)
21. C. H. Chen, Vincent S. Tseng, H. H. Yu and T. P. Hong, "Time series pattern discovery by a PIPbased evolutionary approach," Soft Computing, Vol. 17, No. 9, pp. 16991710, 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. 17111723, 2013. (SCI)
23. C. H. Chen, R. D. Chiang, T. F. Wu and H. C. Chu, "A combined miningbased framework for predicting telecommunications customer payment behaviors," Expert Systems with Applications, Vol. 40, No. 16, pp. 65616569, 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. 65316537, 2013. (SCI)
25. C. H. Chen, J. S. He and T. P. Hong, "MOGAbased fuzzy data mining with taxonomy," KnowledgeBased Systems, Vol. 54, pp. 5365, 2013. (SCI)
26. C. H. Chen, A. F. Li and Y. C. Lee, "Actionable highcoherentutility fuzzy itemset mining," Soft Computing, Vol. 18, No. 12, pp. 24132424, 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. 371378, 2015. (SCI)
28. C. H. Chen, T. P. Hong, Y. C. Lee and Vincent S. Tseng, "Finding active membership functions for geneticfuzzy mining," International Journal of Information Technology & Decision Making, Vol. 14, No. 16, pp. 12151242, 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. 16571678, 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. 265274, 2016. (SCI)
31. C. H. Chen, Vincent S. Tseng, H. H. Yu, T. P. Hong and N. Yen, "A GAbased approach for finding appropriate granularity levels of web patterns from time series," International Journal of Web and Grid Services, Vol. 12, No. 3, pp. 217239, 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. 217232, 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. 177194, 2017. (SCI)
34. C. H. Chen and C. H. Yu, "A seriesbased group stock portfolio optimization approach using the grouping genetic algorithm with symbolic aggregate approximations," KnowledgeBased Systems, Vol. 125, pp. 146163, 2017. (SCI)
35. T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Generalizing conceptdrift patterns for fuzzy association rules" Journal of Network Intelligence, Vol. 3, No. 2, pp. 126137, 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 gridbased swarm intelligence algorithm for privacypreserving data mining," Applied Sciences, Vol. 9, No. 4, pp. 774, 2019. (SCI)
38. J. C. W. Lin, J. M. T. Wu, P. FournierViger, 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. FournierViger, Y. Djenouri, C. H. Chen, Z. Li, "The densitybased clustering method for privacypreserving data mining," Mathematical Biosciences and Engineering, Vol. 16, No. 3, pp. 17181728, 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/s10115019013532)
41. C. H. Chen, J. S. He, T. P. Hong and S. R. Kannan, "Postanalysis framework for mining actionable patterns using clustering and genetic algorithms," IEEE Access, Vol. 7, No. 1, pp. 108101108115, 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 GGAbased 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. 57875797, 29 May 2020. (SCI)
45. C. H. Chen, H. Chou, T. P. Hong and Y. Nojima, ¡§Clusterbased membership function acquisition approaches for mining fuzzy temporal association rules,¡¨ IEEE Access, Vol. 8, pp. 123996124006, 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. 6070, 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. 112, 03 June 2021. (SCI)
49. C. H. Chen, P. Y. Chen and J. C. W. Lin, ¡§An ensemble classifier for stock trend prediction using sentencelevel 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/s1253002209420w) (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¡V1005, 2022. (SCI)
52. T. P. Hong, C. C. Chiu, J. H. Su and C. H. Chen, ¡§Applicable metamorphic testing for erasableitemset mining,¡¨ IEEE Access, Vol. 10, pp. 3854538554, 2022 (doi: 10.1109/ACCESS.2022.3165656). (SCI)
53. T. P. Hong, C. H. Chen, Y. K. Li and M. T. Wu, ¡§Using fuzzy cmeans to discover conceptdrift patterns for membership functions,¡¨ Transactions on Fuzzy Sets and Systems, Vol. 1, No. 2, pp. 2131, 2022.
54. J. C. W. Lin, Q. Lv, D. Yu*, G. Srivastavae, C. H. Chen*, ¡§Optimized scheduling of resourceconstraints 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 ChunWei Lin*, ¡§Multiobjective evolutionary model of the construction industry based on network planning,¡¨ IEEE Transactions on Industrial Informatics, Vol. 19, No. 2, pp. 2173 ¡V 2182, February 2023. (SCI)
56. C. H. Chen∗, S. T. Hung, P. T. Chen, C. S. Wang and R. D. D. Chiang, ¡§A memeticbased 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¡V1456, January 2023. (SCI)
57. C. H. Chen, C. Y. Lu, R. D. Chiang, G. Srivastava, Jerry C. W. Lin, ¡§An evolutionarybased 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 islandbased 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, "Geneticfuzzy 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
divideandconquer 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 timeseries data by fuzzy datamining technique,"
The
2005 IEEE
International Conference on Granular Computing, Vol. 1, pp.
112117, 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 clusterbased fuzzygenetic mining approach
for association rules and membership functions," The IEEE International Conference
on Fuzzy Systems, pp. 14111416, 2006.
9.
C. H. Chen, T. P.
Hong and Vincent S. Tseng, "A less domaindependent fuzzy mining algorithm
for frequent trends," The IEEE International Conference on Fuzzy
Systems, pp. 851856, 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. 443447, 2006.
11.
´¿·s¿p, ³¯«T»¨, ³¯¤p©ú,
±i¼z¯u©M¤×¶i®õ, "¥H¸ê®Æ±´°É§Þ³N«Ø¥ßÃÄ«~½Õ¾¯²¨¥¢¤§¤ÀªR»P¹w¨¾¼Ò«¬," ²Ä¤Q¤@©¡¤H¤u´¼¼z»PÀ³¥Î¬ã°Q·, 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. 6570, 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. 550555,
2007.
14.
C. H. Chen, T. P.
Hong, Vincent S. Tseng and C. S. Lee, "A geneticfuzzy mining approach for
items with multiple minimum supports," The IEEE International Conference
on Fuzzy Systems, pp. 16, 2007.
15.
C. H. Chen, T. P.
Hong and Vincent S. Tseng, "A modified approach to speed up geneticfuzzy
data mining with divideandconquer strategy," The IEEE Congress on Evolutionary
Computation, pp. 16, 2007.
16.
C. H. Chen, T. P.
Hong, Vincent S. Tseng, "A clusterbased geneticfuzzy mining approach for
items with multiple minimum supports," The PacificAsia Conference on
Knowledge Discovery and Data Mining, pp. 864869, 2008.
17.
C. H. Chen, T. P.
Hong and Vincent S. Tseng, "A brief survey of geneticfuzzy data mining techniques,"
International
Conference on Advanced Information Technologies, 2008.
18.
C. H. Chen, T. P.
Hong and Vincent S. Tseng, "A divideandconquer geneticfuzzy mining approach
for items with multiple minimum supports," The IEEE International Conference
on Fuzzy Systems, pp. 12311235, 2008.
19.
Vincent
S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, "A clusterbased genetic approach for segmentation
of time series and pattern discovery," The IEEE Congress on Evolutionary
Computation, pp. 19491953, 2008.
20.
½²©úõ,
´¿·s¿p, ³¯«T»¨, ³¯¤p©ú©M³¢·ç·N, "¥þÄÖ¼hÀH¨°·±d«P¶i¤§±¡¹Ò³W¹º," 2008°ê»Ú°·±d¸ê°TºÞ²z¬ã°Q·.
21.
´¿·s¿p, ³¯«T»¨©M»¯Z°¶, "¹B¥Î¸ê®Æ±´°É§Þ³N¥Ñ¸£ªi°T¸¹«Ø¥ß³ê¿ô°»´ú¼Ò«¬," 2008°ê»Ú°·±d¸ê°TºÞ²z¬ã°Q·.
22.
C. H. Chen, T. P.
Hong, Vincent S. Tseng and L. C. Chen, "A multiobjective geneticfuzzy 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 TakagiSugeno 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 geneticfuzzy mining by fuzzy clustering,"
The
IEEE International Conference on Fuzzy Systems, pp. 1695¡V1699, 2009.
25.
C. H. Chen, T. P.
Hong, Vincent S. Tseng, "A
SPEA2based geneticfuzzy mining algorithm," The IEEE International Conference
on Fuzzy Systems, pp. 15, 2010.
26.
ChunHao Chen,
WenYang Lin, YiChing Chen and HeYi Li, "Mining indirect associations over
data streams," The International Conference of System Science and Engineering,
2010.
27.
ChunHao Chen,
LienChin Chen, TzungPei Hong and Vincent S. Tseng, "A
clusterbased divideandconquer geneticfuzzy 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 PIPbased 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. 224231, Kaohsiung, Taiwan,
Nov., 2010.
31.
W.
Y. Lin, Y. E. Wei and C. H. Chen, "Mining indirect associations
over streaming data¡XA 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. 95104, 2011,
DOI: 10.1007/9783642218224_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. 405409, 2011.
33.
G.
C. Lan, T. P. Hong, Vincent S. Tseng and C. H. Chen, "Using pruning
and filtering strategies to speedup projectionbased utility mining," International
Conference on System Science and Engineering, pp. 400404, 2011.
34.
C. H. Chen, T. P.
Hong and Y. C. Lee, "A multiplelevel geneticfuzzy mining algorithm,"
The
IEEE International Conference on Fuzzy Systems, pp. 278282, 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. 611615, 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 CrossStrait 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. 17791783, 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. 23522356, 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.114117, 2012.
40.
C. H. Chen and A.
F. Li, "A study on fuzzy coherent datamining 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 multilevel fuzzy data mining,"
The
IEEE International Conference on Granular Computing, pp. 15, 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. 15, 2012.
43.
³¯«~¦w,
±i¥ò¨}, ³¢¬F°¶,
³¯«T»¨, "»â°ìl¦ù¬°°òÂ¦ªº°ª´Þ§Q²v¿ïªÑ¼Ò«¬," ²Ä¤Q¤C©¡¤H¤u´¼¼z»PÀ³¥Î¬ã°Q·, 2012.
44.
C. H. Chen, J. S.
He and T. P. Hong, "A twostage multiobjective geneticfuzzy mining algorithm,"
The
IEEE Symposium Series on Computational Intelligence, pp. 15, 2013.
45.
C. H. Chen and J.
S. He, "MOGAbased multilevel geneticfuzzy mining techniques," The
National Conference on Fuzzy Theory and Its Applications, 2013.
46.
C. H. Chen, Y. C.
Hsieh and Y. C. Lee, "The YTMbased stock portfolio mining approach by genetic
algorithm," The IEEE International Conference on Granular Computing, pp.
3842, 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. 213218, 2013.
48.
C. H. Chen, Yu
Li, T. P. Hong, "Multilevel geneticfuzzy 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 8289, 2014.
49.
Y.
Li, C. H. Chen, T. P. Hong and Y. C. Lee, "Geneticfuzzy mining
with type2 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 projectionbased approach for mining highly
coherent association rules," The EuroChina Conference on Intelligent
Data Analysis and Applications, 2014.
51.
C. H. Chen and C.
Y. Hsieh, "A multiobjective genetic stock portfolio mining approach with
investor's requests," The IEEE International Conference on
Granular Computing, pp. 3034, 2014.
52.
Y.
C. Lee, Q. F. Qi, T. P. Hong and C. H. Chen, "A GAbased 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, "Clusterbased 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 type2 membership functions"
The
Asian Conference on Intelligent Information and Database Systems, also
in Lecture
Notes in Computer Science, Vol. 9012, pp. 128134, 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 GAbased approach for mining membership
functions and conceptdrift patterns," The IEEE Congress on Evolutionary
Computation, pp. 2961  2965, 2015.
57.
C. H. Chen, C. Y.
Lu and C. H. Yu, "SAXbased group stock portfolio mining approach," The
International Conference on NetworkBased Information Systems, pp.
280285, 2015.
58.
T.
P. Hong, J. C. Chen, W. Y. Lin and C. H. Chen, "Analysis of parallel
subswarm PSO with the same total particle numbers," The International Conference on
NetworkBased Information Systems, 2015.
59.
C. H. Chen and C.
C. Chen, "Mapreduced based approach for mining group stock portfolio,"
ASE
BigData, 2015.
60.
C. H. Chen, Y. Li
and T. P. Hong, "Type2 geneticfuzzy 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
conceptdrift 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. 47344738, 2016.
64.
T.
P. Hong, Y. Y. Liu, M. T. Wu, C. H. Chen and L. S. L. Wang, "Geneticfuzzy
mining with MapReduce," The IEEE
International Conference on Systems, Man, and Cybernetics, pp. 32943298, 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. 594598, 2017.
66.
C. H. Chen, W. Y.
Shen, T. P. Hong and J. H. Su, "An islandbased 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.15, 2017.
67.
C. H. Chen, Y. H.
Chen and M. E. Wu, "A GGAbased algorithm for group trading strategy
portfolio optimization," The Multidisciplinary International Social
Networks Conference, pp. 15, 2017.
68.
C. H. Chen and C.
H. Yu, "A PIPbased approach for optimizing a group stock portfolio by
grouping genetic algorithm," The International Conference on Genetic and Evolutionary
Computing, 2017.
69.
¬x©v¨©,
°ª¾¬¥¿, ³¯µ¾ºû, ³¯«T»¨, "±qªÀ¸sºô¸ô¥Î¤á¨Ï¥Î°O¿ý±´°É¶¥¼h¤¬°ÊÃö«Y¤Î¨äÀ³¥Î," »OÆWºô»Úºô¸ô¬ã°Q·, pp. 141144, 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
stoploss and takeprofit 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 multiobjective genetic algorithm," International Conference on Behavioral,
Economic, and SocioCultural 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 PSObased
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, "Contentbased motorcycle counting for traffic
management by image recognition," The Asian Conference on Intelligent
Information and Database Systems, pp. 180188, 2019.
78.
C. H. Chen, W. Y.
Shen, M. E. Wu and T. P. Hong, "A divideandconquerbased
approach for diverse group stock portfolio optimization using islandbased
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 evolutionarybased algorithm for multiperiod 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 multiobjectivebased 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 sensorbased 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, "Thresholdadjusted 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 anomalypatterns
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 SPEAbased 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 geneticfuzzy 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 correlationbased pair trading strategy
using genetic algorithms," International Conference on Computational
Collective Intelligence, pp. 255263, 2021.
89.
C. H. Chen, Y. C.
Yang and J. C. W. Lin, ¡§An associationbased 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 ¡V July 22, 2022, Kitakyushu, Japan.
90.
C. H. Chen, Y. Q.
Huang and T. P. Hong, ¡§Using GPUs to speed up geneticfuzzy data mining with
evaluation on all large itemsets,¡¨ The Asian Conference on Intelligent Information and Database Systems, pp. 1726, November 2830, 2022, Ho Chi Minh City, Vietnam.
91.
C. H. Chen, W. H.
Lai, K. Chideme and T. P. Hong, ¡§GPUbased Advanced
LongShort 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, IseShima, Mie prefecture, Japan.
92.
´^¤¸«T,
³\¶{×, ªL¬f¿«,
¶À¾G¿Î, ³¯«T»¨*, ¡§¶i¶¥¤§¸s²Õ¥æ©öµ¦²¤§ë¸ê²Õ¦X³Ì¨Î¤Æ§Þ³N¬ãµo»P¹ê§@,¡¨ Â÷®q¸ê°T§Þ³N»PÀ³¥Î¬ã°Q·, ©yÄõ, ¥xÆW, 5¤ë25~28¤é, 2023.
93. C. H. Chen, C. Y. Huang, M. S. Pan, ¡§An improved optimization algorithm to find
suitable technical indicators for identifying lowrisk trading signals,¡¨ International
Conference on Consumer ElectronicsTaiwan (ICCETaiwan), pp. 103104, July
1719, 2023, Pingtung, Taiwan.
94.
C. H. Chen, S. C. Wang, M. E. Wu and Kawuu W. Lin, ¡§Enhancing abnormalbehaviorbased stock
trend prediction algorithm with costsensitive learning using genetic algorithms,¡¨
The Asian Conference on Intelligent Information and Database Systems, pp.186196,
July 2426, 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 UNet based
on dual attention mechanism for glottis segmentation and dysphagia auxiliary
diagnosis,¡¨ The Asian Conference
on Intelligent Information and Database Systems, pp. 234¡V243, July
2426, 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 14,
2023, Honolulu, Oahu, Hawaii, USA.
97.
Y.
C. Lee, T. P. Hong, Y. C. Chiu and C. H. Chen, ¡§A GAbased scheduling
algorithm for semiconductorproduct thermal cycling tests,¡¨ The International
Conference on Genetic and Evolutionary Computing, October 68, 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 meansemivariance 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 1113, 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 1518 , 2024, Ras Al
Khaimah, UAE.
101.
T.
P. Hong, M. J. Kuo, C. H. Chen and S. M. Li, ¡§Federated erasableitemset mining with quasierasable itemsets,¡¨ The Asian Conference on Intelligent Information and
Database Systems, April 1518 , 2024, Ras Al Khaimah, UAE.
102.
³¯«T»¨, ¤òÞm¶v, ³¯«ä¶®, ±ç´I¤å, ¡§BERT ¬°°òÂ¦¤§¨à¤Ö¶Ë®`§P¨M®Ñ¤ÀÃþ¾¹«Ø¸m§Þ³N,¡¨ Â÷®q¸ê°T§Þ³N»PÀ³¥Î¬ã°Q·, ª÷ªù, ¥xÆW, 5¤ë24~26¤é, 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.