國　立　雲　林　科　技　大　學　資　訊　管　理　所
National Yunlin University of Science and Technology
Department of Information Management
Guo,Shu-YuProject Assistant Professor

一般資訊

  • Degree: Ph.D. in Computer Science and Engineering, National Chi Nan University (NCNU)
  • Office:
  • Extension:
  • Research Interests: Computational Intelligence; Quantum Computing; Financial Technology (FinTech); Network Security
  • E-Mail: shuyu@yuntech.edu.tw

經歷

  • Assistant Professor, National Taipei University of Technology (NTUT)
  • Assistant Professor, National Chung Hsing University (NCHU)
  • Postdoctoral Research Fellow (Recruited/Tenured), National Taiwan University (NTU)
  • Visiting Postdoctoral Research Fellow, Princeton University, USA
  • Visiting Postdoctoral Research Fellow, University of Washington, USA

研究著作

期刊論文：
Yao-Hsin Chou, Chien-Ming Chen, Yun-Ting Lai, Shu-Yu Kuo, Yu-Chi Jiang, and Fan-Hsun Tseng, “Enhancing Aluminum Extrusion Quality via AI-Driven Temperature Prediction in Cyber-Physical Systems for Industry 4.0,” IT Professional, vol. 26, no.5, pp.47-54, November 2024.
Shu-Yu Kuo, Bing Sheu, Sun-Yuan Kung, and Yao-Hsin Chou, “An Investigation on Quantum-inspired Algorithms for Portfolio Optimization Across Global Markets,” IEEE Nanotechnology Magazine, vol.18, no.4, pp. 27-34, Aug. 2024.
Yao-Hsin Chou, Ching-Hsuan Wu, Yu-Chi Jiang, Sy-Yen Kuo, and Shu-Yu Kuo*, “Nanoscale Precision-Related Challenges in Classical and Quantum Optimization,” IEEE Nanotechnology Magazine, vol.18, no.3, pp. 31-43, June, 2024.
Shu-Yu Kuo, Yu-Chi Jiang, Cheng-Yen Hua, Yao-Hsin Chou, and Sy-Yen Kuo, “Evo-Panel: Dynamic Visualization Tool for Optimization Process,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 6, pp. 1717-1732, December 2023.
Shu-Yu Kuo, Yu-Chi Jiang, and Yao-Hsin Chou, “Intelligent Hybrid Trading Strategies Based on Quantum-inspired Algorithm,” Spin, vol. 13, no. 4, p.2340013, December 2023.
Yao-Hsin Chou, Kuo-Chun Tseng, and Shu-Yu Kuo*, “The Prospects of Quantum Secure Direct Communication: An Overview,” Spin, vol 13, no. 4, p.2340013, December 2023.
Shu-Yu Kuo, Kuo-Chun Tseng, Chia-Ching Yang, and Yao-Hsin Chou, “Efficient Multiparty Quantum Secret Sharing Based on a Novel Structure and Single Qubits,” EPJ Quantum Technology, vol. 10, Article number: 29, August 2023. (Top 10% Journal Rank)
Shu-Yu Kuo, Fan-Hsun Tseng, and Yao-Hsin Chou, “Metaverse Intrusion Detection of Wormhole Attacks based on a Novel Statistical Mechanism,” Future Generation Computer Systems, vol. 143, pp. 179-190, June 2023. (Top 10% Journal Rank)
Yao-Hsin Chou, Kuo-Chun Tseng, Shu-Yu Kuo*, Sy-Yen Kuo, and Bing Sheu, “The Prospects of Quantum Secure Communication for Secret Sharing: An Overview,” IEEE Nanotechnology Magazine, vol. 17, no. 2, pp. 38-44, April 2023.
Shu-Yu Kuo, Yu-Chi Jiang, Yao-Hsin Chou, Sy-Yen Kuo, and Sun-Yuan Kung, “Quantum Computer-Aided Design Automation: Optimization Algorithms and Visualization Interfaces,” IEEE Nanotechnology Magazine, vol. 17, no. 2, pp. 15-25, Apr. 2023.
Shu-Yu Kuo, Kuo-Chun Tseng, Yao-Hsin Chou, and Fan-Hsun Tseng, “Quantum Oblivious Transfer with Reusable Bell State,” Computers, Materials & Continua, vol. 74, no. 1, pp. 915-932, 2023.
Yu-Chi Jiang, Kuo-Chun Tseng, Cheng-Yen Hua, Shu-Yu Kuo*, Yao-Hsin Chou, and Sy-Yen Kuo, “A Novel Hypercube-Based Heuristic for Quantum Boolean Circuit Synthesis,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 12, no. 3, pp.648-661, September 2022.
Yao-Hsin Chou, Yu-Chi Jiang, Yi-Rui Hsu, Shu-Yu Kuo*, and Sy-Yen Kuo, “A Weighted Portfolio Optimization Model Based on the Trend Ratio, Emotion Index, and ANGQTS,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 4, pp. 867-882, August 2022.
Yao-Hsin Chou, Yu-Chi Jiang, and Shu-Yu Kuo*, “Portfolio Optimization in Both Long and Short Selling Trading Using Trend Ratios and Quantum-Inspired Evolutionary Algorithms,” IEEE Access, vol. 9, pp. 152115-152130, November 2021.
Shu-Yu Kuo and Yao-Hsin Chou, “Building Intelligent Moving Average-Based Stock Trading System Using Metaheuristic Algorithms,” IEEE Access, vol. 9, pp. 140383-140396, October 2021.
Yao-Hsin Chou, Yun-Ting Lai, Yu-Chi Jiang, and Shu-Yu Kuo*, “Using Trend Ratio and GNQTS to Assess Portfolio Performance in the U.S. Stock Market,” IEEE Access, vol. 9, pp. 88348-88363, June 2021.
Yao-Hsin Chou, Guo-Jyun Zeng, Xing-Yu Chen, and Shu-Yu Kuo, “Multiparty Weighted Threshold Quantum Secret Sharing Based on the Chinese Remainder Theorem to Share Quantum Information,” Scientific Reports, vol. 11, Article number: 6093, March 2021.
Yao-Hsin Chou, Shu-Yu Kuo*, and Yu-Chi Jiang, “A Novel Portfolio Optimization Model Based on Trend Ratio and Evolutionary Computation,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 4, pp. 337-350, August 2019.
研討會論文：
Shu-Yu Kuo*, Chia-Lin Liu, Yu-Chi Jiang, Yao-Hsin Chou, and Sy-Yen Kuo “Enhanced Quantum Secret Sharing with Reduced Resource Consumption through GHZ Entanglement,” IEEE International Conference on Quantum Computing and Engineering (QCE24), pp. 372-373, September 2024.
Yao-Hsin Chou, Ching-Hsuan Wu, Pei-Shin Huang, Jyun-Yi Shen, Shu-Yu Kuo*, Sy-Yen Kuo and Ching-Ray Chang, “Exploring Quantum Annealing for Enhanced International Financial Stock Portfolio Management,” IEEE International Conference on Quantum Computing and Engineering (QCE24), pp. 250-258, September 2024.
Yao-Hsin Chou, Yu-Chi Jiang, Shu-Yu Kuo* and Sun-Yuan Kung, “Bridging the Quantum Education Gap: Hands-on Visualization Projects for Quantum Search Algorithm,” IEEE International Conference on Quantum Computing and Engineering (QCE24), pp.112-121, September 2024.
Yao-Hsin Chou, Jyun-Yi Shen, Yu-Chi Jiang, Shu-Yu Kuo*, and Cheng-Yen Hua “An Innovative Hunting-based Quantum-inspired Jaguar Algorithm for Combinatorial Optimization,” IEEE International Conference on Quantum Computing and Engineering (QCE24), pp.553-554, Sep. 2024.
Yao-Hsin Chou, Cheng-Yen Hua, Huan-Pu Chen, En-Tzu Hsu, Yu-Chi Jiang and Shu-Yu Kuo*, “Adapting Developing Quantum Circuit Synthesis with a Multi-objective Quantum-inspired Optimization,” IEEE International Conference on Quantum Computing and Engineering (QCE24), pp.559-560, September 2024.
Yao-Hsin Chou, Yun-Ting Lai, Ming-Ho Chang, Yu-Chi Jiang and Shu-Yu Kuo, “Qutrit-based Quantum-inspired Optimization Model on Real-world Portfolio Optimization,” IEEE International Conference on Quantum Computing and Engineering (QCE24), pp.557-558, September 2024.
Jyun-Yi Shen, Ching-Hsuan Wu, Cheng-Yen Hua, Ming-Ho Chang, Shu-Yu Kuo*, and Yao-Hsin Chou, “An Efficient Quantum-inspired Computing Approach for Intrusion Detection System,” 2024 IEEE 24th International Conference on Nanotechnology (NANO), pp.306-310, July 2024.
Yao-Hsin Chou, Cheng-Yen Hua, Shu-Yu Kuo, Yu-Chi Jiang, and Sy-Yen Kuo, “Evo-Panel: Dynamic Visualization Tool for Optimization Process,” 2024 In Proceedings of the Genetic and Evolutionary Computation Conference Companion (ACM HOP GECCO ’24), pp.29-30, July 2024.
Shu-Yu Kuo*, et al., “Controlled-swap-based and Knowledge Navigated Quantum-inspired Computational Intelligence for Quantum Circuit Optimization,” IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-9, July 2024.
Yao-Hsin Chou, Yun-Ting Lai, Yong Feng Tong, Alvin Young, Ming-Ho Chang, Kun-Min Wu, Yu-Chi Jiang, and Shu-Yu Kuo*, “A Quantum-inspired Multi-objective Portfolio Strategy Based on Trend Ratio Model in Global Financial Network,” IEEE Congress on Evolutionary Computation (IEEE CEC 2024), pp. 1-8, July 2024.
Yao-Hsin Chou, Ching-Hsuan Wu, Pei-Shin Huang, Shu-Yu Kuo*, Yu-Chi Jiang, Sy-Yen Kuo, and Ching-Ray Chang “Hybrid Quantum Annealing with Innovative Trend Ratio Model for Portfolio Optimization,” IEEE Congress on Evolutionary Computation (IEEE CEC 2024), pp. 1-8, July 2024.
Shu-Yu Kuo*, et al., “An Innovative Knowledge Learning Adaptive Quantum-inspired Algorithm for Trend Ratio-Based Portfolio Construction Model,” IEEE Congress on Evolutionary Computation (IEEE CEC 2024), pp. 1-8, July 2024.
Yu-Chi Jiang, Yun-Ting Lai, Po-Chun Chen, Kun-Min Wu, Yu-Yu Chang,Yong Feng Tong, Shu-Yu Kuo, and Yao-Hsin Chou, “An Innovative Quantum-Inspired Hybrid Strategy and In-Depth Analysis of Cross-Market Portfolio Optimization,” IEEE International Conference on Systems, Man, and Cybernetics (IEEE-SMC 2023), pp. 2966-2971, October 2023.
Yu-Chi Jiang, Yun-Ting Lai, Po-Chun Chen, Yu-Yu Chang, Kun-Min Wu, Shu-Yu Kuo*, Yao-Hsin Chou, and Sy-Yen Kuo, “Quantum-Inspired Computing: Entanglement-Enhanced Technique for Short Portfolio in Global Markets,” 2023 IEEE International Conference on Nanotechnology (IEEE NANO), pp. 534-538, July 2023. (Best Poster Paper Award, First Prize)
Shu-Yu Kuo*, et al., “Entanglement Local Search-Assisted Quantum-Inspired Optimization for Portfolio Optimization in G20 Markets,” 2023 In Proceedings of the Genetic and Evolutionary Computation Conference Companion (ACM GECCO ’23), pp. 2232-2240, July 2023.
Shu-Yu Kuo*, Yu-Chi Jiang, Yun-Ting Lai, and Yao-Hsin Chou, “A New Portfolio Optimization Model Considering Hybrid Trading Strategies,” 2023 IEEE Congress on Evolutionary Computation (IEEE CEC 2023), pp.1-10, July 2023.
Yu-Chi Jiang, Ming-Ho Chang, You-Yu Chang, Kun-Min Wu, Po-Chun Chen, Yong Feng Tong, Yun-Ting Lai, and Shu-Yu Kuo*, Yao-Hsin Chou, “Trend Ratio-based Portfolio Optimization Model Adopting Entanglement-enhanced Quantum-inspired Evolutionary Computation in the Global Financial Markets,” 2023 IEEE Congress on Evolutionary Computation (IEEE CEC 2023), pp. 1-9, July 2023.