Evolutionary Computation
Metaheuristic Algorithms
Algorithmic Music Composition
Machine/Deep Learning
Neural Architecture Search
Artificial Intelligence
C Programming (I and II)
Computer Networking
Python Data Science
Database Management System
Introduction to Computers
AI Ethics
(Previously offered courses)
Digital Image Processing
Discrete Mathematics
Python Programming
國立中正大學 資訊工程研究所 博士
國立中正大學 資訊工程學系 學士
Ph.D. in Computer Science, National Chung Cheng University, Chiayi, Taiwan
B.S. in Computer Science, Nation Chung Cheng University, Chiayi, Taiwan
淡江大學 人工智慧學系 助理教授
Assistant Professor, Dept. of Artificial Intelligence,
Tamkang University, New Taipei, Taiwan. (2022—2023)
國立清華大學 動力機械工程學系 博士後研究員
Postdoctoral Researcher, Dept. of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan. (2022)
2019 中技社 AI 創意競賽—AI與藝術「第一名」
Excellent Paper Award, TAAI, 2019
Editor of Memetic Computing
Chair of IEEE CIS Task Force on Intelligent Network Systems (TF-INS)
Member of IEEE CIS ETTC Task Force on Creative Intelligence
Reviewer
IEEE Transactions on Evolutionary Computation (IEEE TEVC)
IEEE Transactions on Systems, Man, and Cybernetics: Systems
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI)
IEEE Computational Intelligence Magazine (IEEE CIM)
Memetic Computing
IEEE Congress on Evolutionary Computation (IEEE CEC)
IEEE World Congress on Computational Intelligence (IEEE WCCI)
The Genetic and Evolutionary Computation Conference (GECCO)
Committee Member
Special Session on Neural Architecture Search,
The Genetic and Evolutionary Computation Conference
Special Session on Nature-inspired Computing in Intelligent Network Systems,
IEEE Congress on Evolutionary Computation (IEEE CEC) &
IEEE World Congress on Computational Intelligence (IEEE WCCI)
Special Session on Computational Intelligence for Music, Art, and Creativity,
IEEE Congress on Evolutionary Computation (IEEE CEC) &
IEEE World Congress on Computational Intelligence (IEEE WCCI)
Rung-Tzuo Liaw and Yu-Wei Wen , “Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024
Impact factor: 5.3; Rank: 43/197 (22%) in CS:AI
Yu-Wei Wen, Chuan-Kang Ting, “Recent Advances of Computational Intelligence Techniques for Composing Music,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2022
Impact factor: 5.3; Rank: 43/197 (22%) in CS:AI
Meng-Huan Lu, Yu-Wei Wen, Chuan-Kang Ting, “Searching Crease Patterns by Genetic Algorithm for Origami Design,” in Proceedings of IEEE Congress on Evolutionary Computation (CEC), 2022
Yu-Wei Wen; Sheng-Hsuan Peng; Chuan-Kang Ting, “Two-Stage Evolutionary Neural Architecture Search for Transfer Learning,” IEEE Transactions on Evolutionary Computation (TEVC), vol. 25, no. 5, pp. 928-940, 2021.
Impact factor: 16.5; Rank: 5/144 (3%) in CS:AI
Yu-Wei Wen; Chuan-Kang Ting, “Composing Bossa Nova by Evolutionary Computation,” in Proceedings of International Joint Conference on Neural Networks (IJCNN), pp.1-8, 2020.
Kuan-Chun Huang; Yu-Wei Wen; Chuan-Kang Ting, “Designing distance metric for k-nearest neighbor through genetic programming,” in Proceedings of The 24th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2019. (Excellent Paper Award)
Kuan-Chun Huang; Yu-Wei Wen; Chuan-Kang Ting, “Enhancing k-Nearest Neighbors through Learning Transformation Functions by Genetic Programming,” in Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp. 1891-1897, 2019.
Yu-Wei Wen; Chuan-Kang Ting, “Designing Facility Layouts with Hard and Soft Constraints by Evolutionary Algorithm,” in Proceedings of IEEE First International Conference on Artificial Intelligence for Industries (AI4I), pp. 44-47, 2018.
Yu-Wei Wen; Chuan-Kang Ting, “Parting ways and reallocating resources in evolutionary multitasking,” in Proceedings of 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 2404-2411, 2017. (71 citations)
Yu-Wei Wen; Chuan-Kang Ting, “Learning ensemble of decision trees through multifactorial genetic programming,” in Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 5293-5300, 2016. (28 citations)