Jia-Hao Syu, Jerry Chun-Wei Lin, Gautam Srivastava, "Distributed Learning Mechanisms for Anomaly Detection in Privacy-Aware Energy Grid Management Systems", ACM Transactions on Sensor Networks, 2024. (SCI Q2, IF: 4.1)
Jia-Hao Syu, Jerry Chun-Wei Lin, Marcin Fojcik, Rafał Cupek, "Q-Learning based Energy Management System on Operating Reserve and Supply Distribution", Sustainable Energy Technologies and Assessments, 2023. (SCI Q1, IF: 8.0)
Jia-Hao Syu, Jerry Chun-Wei Lin, Gautam Srivastava, "AI-Based Electricity Grid Management for Sustainability, Reliability, and Security", IEEE Consumer Electronics Magazine, 2023. (SCI Q1, IF: 4.5)
Jia-Hao Syu, Jerry Chun-Wei Lin, Gautam Srivastava, Keping Yu, "A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics", IEEE Transactions on Consumer Electronics, 2023. (SCI Q2, IF: 4.3)
Jia-Hao Syu, Gautam Srivastava, Marcin Fojcik, Rafał Cupek, Jerry Chun-Wei Lin, "Energy Grid Management System with Anomaly Detection and Q-Learning Decision Modules", Computers & Electrical Engineering, 2023. (SCI Q2, IF: 4.3)
Jia-Hao Syu, Jerry Chun-Wei Lin, Piotr Biernacki, Adam Ziebinski, "Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors", Sensors Journal, 2023. (SCI Q1, IF: 4.3)
Bohdan Shubyn, Daniel Kostrzewa, Piotr Grzesik, Paweł Benecki, Taras Maksymyuk, Vaidy Sunderam, Jia-Hao Syu, Jerry Chun-Wei Lin, Dariusz Mrozek, "Federated Learning for improved prediction of failures in Autonomous Guided Vehicles", Journal of Computational Science, 2023. (SCI Q2, IF: 3.3)
Jia-Hao Syu, Jerry Chun-Wei Lin, Chi-Jen Wu, Jan-Ming Ho, "Stock Selection System Through Suitability Index and Fuzzy-Based Quantitative Characteristics", IEEE Transactions on Fuzzy Systems, 2022. (SCI Q1, IF: 11.9)
Jimmy Ming-Tai Wu, Sheng-Hao Lin, Jia-Hao Syu, Mu-En Wu, "Embedded Draw-Down Constraint Reward Function for Deep Reinforcement Learning", Applied Soft Computing, 2022. (SCI Q1, IF: 8.7)
Jia-Hao Syu, Jerry Chun-Wei Lin, Gautam Srivastava, "Call Auction-Based Energy Management System with Adaptive Subsidy and Dynamic Operating Reserve", Sustainable Computing: Informatics and Systems, 2022. (SCI Q1, IF: 4.5)
Mu-En Wu, Jia-Hao Syu, Gautam Srivastava, Jerry Chun-Wei Lin, "Informative Index for Investment based on Kelly Criterion", Enterprise Information Systems, 2022. (SCI Q2, IF: 4.4)
Mu-En Wu, Jia-Hao Syu, Chien-Ming Chen, "Kelly-Based Options Trading Strategies on Settlement Date via Supervised Learning Algorithms", Computational Economics, 2022. (SCI Q2, IF: 2.0)
Mu-En Wu, Jia-Hao Syu, Jerry Chun-Wei Lin, Jan-Ming Ho, "Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading", IEEE Transactions on Fuzzy Systems, 2021. (SCI Q1, IF: 12.3)
Jia-Hao Syu, Mu-En Wu, Gautam Srivastava, Chi-Fang Chao, Jerry Chun-Wei Lin, "An IoT-based Data-Driven Hedge System of Solar Power Generation", IEEE Internet of Things Journal, 2021. (SCI Q1, IF: 10.2)
Mu-En Wu, Jia-Hao Syu, Jerry Chun-Wei Lin, Jan-Ming Ho, "Evolutionary ORB-based Model with Protective Closing Strategies", Knowledge-Based Systems, 2021. (SCI Q1, IF: 8.1)
Mu-En Wu, Jia-Hao Syu, Jerry Chun-Wei Lin, Jan-Ming Ho, "Portfolio Management System in Equity Market Neutral using Reinforcement Learning", Applied Intelligence, 2021. (SCI Q1, IF: 5.0)
Jia-Hao Syu, Mu-En Wu, "Modifying ORB Trading Strategies with Particle Swarm Optimization and Multi-Objective Optimization", Journal of Ambient Intelligence and Humanized Computing, 2021. (SCI Q1, IF: 3.7)
Jia-Hao Syu, Yi-Ren Yeh, Mu-En Wu, Jan-Ming Ho, "Self-Management Portfolio System with Adaptive Association Mining", Mathematics, 2021. (SCI Q1, IF: 2.6)
Yi-Cheng Tsai, Mu-En Wu, Jia-Hao Syu, Chin-Laung Lei, Chung-Shu Wu, Jan-Ming Ho, Chuan-Ju Wang, "Assessing the Profitability of Timely Opening Range Breakout on Index Futures Markets", IEEE Access, 2020. (SCI Q2, IF: 3.4)
Conference
Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu, "Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making", In SIAM International Conference on Data Mining (SDM, Acceptance Rate: 27.4%), 2023.
Jia-Hao Syu, Jerry Chun-Wei Lin, Marcin Fojcik, Rafał Cupek, "HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets", In 31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP, Best Paper Award), 2023.
Jia-Hao Syu, Jerry Chun-Wei Lin, Gautam Srivastava, "Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning", In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2023.
Piotr Biernacki, Adam Ziebinski, Jia-Hao Syu, Jerry Chun-Wei Lin, "The Calibration of Single Beam Distance Sensors based on Machine Learning Methods", In IEEE International Conference on Big Data, 2023.
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy Sunderam, Dariusz Mrozek, "Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks", In IEEE International Conference on Big Data, 2023.
Bohdan Shubyn, Piotr Grzesik, Taras Maksymyuk, Daniel Kostrzewa, Paweł Benecki, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy Sunderam, Dariusz Mrozek, "Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment", In International Conference on Computational Science (ICCS), 2023.
Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu, "Double-Environmental Q-Learning for Energy Management System in Smart Grid", In IEEE International Conference on Big Data, 2022.
Jia-Hao Syu, Jerry Chun-Wei Lin, Dariusz Mrozek, "An Efficient and Secured Energy Management System for Automated Guided Vehicles", In IEEE International Conference on Big Data, 2022.
Rafal Cupek, Jerry Chun-Wei Lin, Jia-Hao Syu, "Automated Guided V ehicles Challenges for Artificial Intelligence", In IEEE International Conference on Big Data, 2022.
Jia-Hao Syu, Jerry Chun-Wei Lin, Chi-Jen Wu, Jan-Ming Ho, "Fuzzy-Based Stock Selection System through Suitability Index and Position Sizing", In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022.
Jia-Hao Syu, Chi-Fang Chao, Mu-En Wu, "Forecasting System for Solar-Power Generation", In Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2021.
Jia-Hao Syu, Mu-En Wu, Jan-Ming Ho, "Portfolio Management System with Reinforcement Learning", In IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), 2020.
Hsiang-Chi Chen, Jia-Hao Syu, Jan-Ming Ho, "Neural Network-based ORB Strategies for Threshold Classification on Taiwan Futures Market", In IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), 2020.
Jia-Hao Syu, Mu-En Wu, Chun-Hao Chen, Jan-Ming Ho, "Threshold-Adjusted ORB Strategies with Genetic Algorithm and Protective Closing Strategy on Taiwan Futures Market", In IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP), 2020.
Jia-Hao Syu, Mu-En Wu, Shin-Huah Lee, Jan-Ming Ho, "On the Design of Profitable Index Based on the Mechanism of Random Tradings", In Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2020.
Jia-Hao Syu, Mu-En Wu, Jan-Ming Ho, "A Framework of Applying Kelly Stationary Index to Stock Trading in Taiwan Market", In IEEE International Conference on Big Data (IEEE Big Data, Acceptance Rate: 18.7%), 2019.
Jia-Hao Syu, Mu-En Wu, Shin-Huah Lee, Jan-Ming Ho, "Modified ORB Strategies with Threshold Adjusting on Taiwan Futures Market", In IEEE Conference on Computational Intelligence for Financial Engineering & Economics (IEEE CIFEr), 2019.