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Yu-Chi Jiang

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2020 – today

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2024
[j7]
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Yao-Hsin Chou, Chien-Ming Chen, Yun-Ting Lai, Shu-Yu Kuo, Yu-Chi Jiang, Fan-Hsun Tseng:
Enhancing Aluminum Extrusion Quality via AI-Driven Temperature Prediction in Cyberphysical Systems for Industry 4.0. IT Prof. 26(5): 47-54 (2024)
[c16]
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Yao-Hsin Chou, Yun-Ting Lai, Yong Feng Tong, Alvin Young, Ming-Ho Chang, Kun-Min Wu, Yu-Chi Jiang, Shu-Yu Kuo:
A Quantum-Inspired Multi-objective Portfolio Strategy Based on Trend Ratio Model in Global Financial Network. CEC 2024: 1-8
[c15]
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Yao-Hsin Chou, Ching-Hsuan Wu, Pei-Shin Huang, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo, Ching-Ray Chang:
Hybrid Quantum Annealing with Innovative Trend Ratio Model for Portfolio Optimization. CEC 2024: 1-8
[c14]
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Shu-Yu Kuo, Yu-Chi Jiang, Ching-Hsuan Wu, Cheng-Yen Hua, Yun-Ting Lai, Yao-Hsin Chou:
An Innovative Knowledge Learning Adaptive Quantum-inspired Algorithm for Trend Ratio-Based Portfolio Construction Model. CEC 2024: 1-9
[c13]
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Yao-Hsin Chou, Cheng-Yen Hua, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo:
Evo-Panel: Dynamic Visualization Tool for Optimization Process. GECCO Companion 2024: 29-30
2023
[j6]
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Shu-Yu Kuo, Yu-Chi Jiang, Cheng-Yen Hua, Yao-Hsin Chou, Sy-Yen Kuo:
Evo-Panel: Dynamic Visualization Tool for Optimization Process. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1717-1732 (2023)
[c12]
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Yu-Chi Jiang, Ming-Ho Chang, Yu-Yu Chang, Kun-Min Wu, Po-Chun Chen, Yong Feng Tong, Yun-Ting Lai, Shu-Yu Kuo, Yao-Hsin Chou:
Trend Ratio-Based Portfolio Optimization Model Adopting Entanglement-enhanced Quantum-Inspired Evolutionary Computation in the Global Financial Markets. CEC 2023: 1-9
[c11]
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Shu-Yu Kuo, Yu-Chi Jiang, Yun-Ting Lai, Yao-Hsin Chou:
A New Portfolio Optimization Model Considering Hybrid Trading Strategies. CEC 2023: 1-10
[c10]
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Shu-Yu Kuo, Yun-Ting Lai, Yu-Chi Jiang, Ming-Ho Chang, Kun-Min Wu, Po-Chun Chen, Yu-Yu Chang, Yong Feng Tong, Yao-Hsin Chou:
Entanglement Local Search-Assisted Quantum-Inspired Optimization for Portfolio Optimization in G20 Markets. GECCO Companion 2023: 2232-2240
[c9]
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Yu-Chi Jiang, Yun-Ting Lai, Po-Chun Chen, Kun-Min Wu, Yu-Yu Chang, Yong Feng Tong, Shu-Yu Kuo, Yao-Hsin Chou:
An Innovative Quantum-Inspired Hybrid Strategy and In-Depth Analysis of Cross-Market Portfolio Optimization. SMC 2023: 2966-2971
2022
[j5]
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Yu-Chi Jiang, Kuo-Chun Tseng, Cheng-Yen Hua, Shu-Yu Kuo, Yao-Hsin Chou, Sy-Yen Kuo:
A Novel Hypercube-Based Heuristic for Quantum Boolean Circuit Synthesis. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(3): 648-661 (2022)
[j4]
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Yao-Hsin Chou, Yu-Chi Jiang, Yi-Rui Hsu, Shu-Yu Kuo, Sy-Yen Kuo:
A Weighted Portfolio Optimization Model Based on the Trend Ratio, Emotion Index, and ANGQTS. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 867-882 (2022)
[c8]
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Yao-Hsin Chou, Shu-Yu Kuo, Yu-Chi Jiang, Ching-Hsuan Wu, Jyun-Yi Shen, Cheng-Yen Hua, Pei-Shin Huang, Yun-Ting Lai, Yong Feng Tong, Ming-He Chang:
A novel quantum-inspired evolutionary computation-based quantum circuit synthesis for various universal gate libraries. GECCO Companion 2022: 2182-2189
[c7]
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Ching-Hsuan Wu, Jyun-Yi Shen, Pei-Shin Huang, Cheng-Yen Hua, Yu-Chi Jiang, Shu-Yu Kuo, Yao-Hsin Chou:
A Novel Explainable Nature-inspired Metaheuristic: Jaguar Algorithm with Precision Hunting Behavior. SMC 2022: 1494-1499
[c6]
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Yun-Ting Lai, Ming-He Chang, Yong Feng Tong, Yu-Chi Jiang, Yao-Hsin Chou, Shu-Yu Kuo:
Portfolio optimization Decision-Making System by Quantum-inspired Metaheuristics and Trend Ratio. SMC 2022: 1748-1753
[c5]
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Hsing-Yu Hsu, Shan-Jung Hou, Yu-Yuan Chen, Yu Chen, Yu-Chi Jiang, Shu-Yu Kuo, Yao-Hsin Chou:
Knowledge Navigated Quantum-inspired Tabu Search Algorithm for Reversible Circuit Synthesis. SMC 2022: 2135-2140
2021
[j3]
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Yao-Hsin Chou, Yun-Ting Lai, Yu-Chi Jiang, Shu-Yu Kuo:
Using Trend Ratio and GNQTS to Assess Portfolio Performance in the U.S. Stock Market. IEEE Access 9: 88348-88363 (2021)
[j2]
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Yao-Hsin Chou, Yu-Chi Jiang, Shu-Yu Kuo:
Portfolio Optimization in Both Long and Short Selling Trading Using Trend Ratios and Quantum-Inspired Evolutionary Algorithms. IEEE Access 9: 152115-152130 (2021)

2010 – 2019

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2019
[j1]
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Yao-Hsin Chou, Shu-Yu Kuo, Yu-Chi Jiang:
A Novel Portfolio Optimization Model Based on Trend Ratio and Evolutionary Computation. IEEE Trans. Emerg. Top. Comput. Intell. 3(4): 337-350 (2019)
[c4]
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Shu-Yu Kuo, Xin Jie Cheam, Yu-Chi Jiang, Yun-Ting Lai, Keh-Ning Chang, Yao-Hsin Chou:
Portfolio optimization Model using ANQTS with Trend Ratio on Quadratic Regression. SMC 2019: 629-634
2018
[c3]
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  - conf/smc/YangYJCKC18
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Li-Sheng Yang, Chia-Yun Yang, Yu-Chi Jiang, Du-Sing Chang, Shu-Yu Kuo, Yao-Hsin Chou:
Dynamic Multi-dimensional Jaguar Algorithm with Adaptive Step for Optimization Problem. SMC 2018: 1546-1551
[c2]
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Yu-Chi Jiang, Xin Jie Cheam, Cheng-Ying Chen, Shu-Yu Kuo, Yao-Hsin Chou:
A Novel Portfolio Optimization with Short Selling Using GNQTS and Trend Ratio. SMC 2018: 1564-1569
[c1]
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Shu-Yu Kuo, Yu-Chi Jiang, Wei-Lun Yeoh, Yao-Hsin Chou:
Portfolio Optimization Considering Diversified Investment Methods Using GNQTS and Trend Ratio. SMC 2018: 3938-3943

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