Semantic segmentation based on iterative contraction and merging. - Tzu-Hao Yang; Jia-Hao Syu; Sheng-Jyh Wang (ICIP, 2017)

A patch-based contraction process for the improvement of image matting. - Jia-Hao Syu; Sheng-Jyh Wang; Li-Chun Wang 001 (ISPACS, 2017)

Hierarchical Image Segmentation Based on Iterative Contraction and Merging. - Jia-Hao Syu; Sheng-Jyh Wang; Li-Chun Wang 001 (IEEE Trans. Image Process., 2017)

Semantic Segmentation of Indoor-Scene RGB-D Images Based on Iterative Contraction and Merging. - Jia-Hao Syu; Shih-Hsuan Cho; Sheng-Jyh Wang; Li-Chun Wang 001 (ICISP, 2018)

A Framework of Applying Kelly Stationary Index to Stock Trading in Taiwan Market. - Jia-Hao Syu; Mu-En Wu; Jan-Ming Ho (IEEE BigData, 2019)

Modified ORB Strategies with Threshold Adjusting on Taiwan Futures Market. - Jia-Hao Syu; Mu-En Wu; Shin-Huah Lee; Jan-Ming Ho (CIFEr, 2019)

Assessing the Profitability of Timely Opening Range Breakout on Index Futures Markets. - Yi-Cheng Tsai; Mu-En Wu; Jia-Hao Syu; Chin-Laung Lei; Chung-Shu Wu; Jan-Ming Ho; Chuan-Ju Wang (IEEE Access, 2019)

On the Design of Profitable Index Based on the Mechanism of Random Tradings. - Jia-Hao Syu; Mu-En Wu; Shin-Huah Lee; Jan-Ming Ho (ACIIDS (Companion), 2020)

Threshold-Adjusted ORB Strategies with Genetic Algorithm and Protective Closing Strategy on Taiwan Futures Market. - Jia-Hao Syu; Mu-En Wu; Chun-Hao Chen; Jan-Ming Ho (ICASSP, 2020)

Neural Network-based ORB Strategies for Threshold Classification on Taiwan Futures Market. - Hsiang-Chi Chen; Jia-Hao Syu; Jan-Ming Ho (SMC, 2020)

Portfolio Management System with Reinforcement Learning. - Jia-Hao Syu; Mu-En Wu; Jan-Ming Ho (SMC, 2020)

Forecasting System for Solar-Power Generation. - Jia-Hao Syu; Chi-Fang Chao; Mu-En Wu (ACIIDS (Companion), 2021)

Portfolio management system in equity market neutral using reinforcement learning. - Mu-En Wu; Jia-Hao Syu; Jerry Chun-Wei Lin; Jan-Ming Ho (Appl. Intell., 2021)

An IoT-Based Hedge System for Solar Power Generation. - Jia-Hao Syu; Mu-En Wu; Gautam Srivastava 001; Chi-Fang Chao; Jerry Chun-Wei Lin (IEEE Internet Things J., 2021)

Evolutionary ORB-based model with protective closing strategies. - Mu-En Wu; Jia-Hao Syu; Jerry Chun-Wei Lin; Jan-Ming Ho (Knowl. Based Syst., 2021)

Automated Guided Vehicles Challenges for Artificial Intelligence. - Rafal Cupek; Jerry Chun-Wei Lin; Jia-Hao Syu (IEEE Big Data, 2022)

An Efficient and Secured Energy Management System for Automated Guided Vehicles. - Jia-Hao Syu; Jerry Chun-Wei Lin; Dariusz Mrozek (IEEE Big Data, 2022)

Double-Environmental Q-Learning for Energy Management System in Smart Grid. - Jia-Hao Syu; Jerry Chun-Wei Lin; Philip S. Yu (IEEE Big Data, 2022)

Fuzzy-Based Stock Selection System through Suitability Index and Position Sizing. - Jia-Hao Syu; Jerry Chun-Wei Lin; Chi-Jen Wu; Jan-Ming Ho (FUZZ-IEEE, 2022)

Embedded draw-down constraint reward function for deep reinforcement learning. - Jimmy Ming-Tai Wu; Sheng-Hao Lin; Jia-Hao Syu; Mu-En Wu (Appl. Soft Comput., 2022)

Informative index for investment based on Kelly criterion. - Mu-En Wu; Jia-Hao Syu; Gautam Srivastava 001; Jerry Chun-Wei Lin (Enterp. Inf. Syst., 2022)

Call Auction-Based Energy Management System with Adaptive Subsidy and Dynamic Operating Reserve. - Jia-Hao Syu; Jerry Chun-Wei Lin; Gautam Srivastava 001 (Sustain. Comput. Informatics Syst., 2022)

Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading. - Mu-En Wu; Jia-Hao Syu; Jerry Chun-Wei Lin; Jan-Ming Ho (IEEE Trans. Fuzzy Syst., 2022)

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (IEEE Big Data, 2023)

The Calibration of Single Beam Distance Sensors based on Machine Learning Methods. - Piotr Biernacki; Adam Ziebinski; Jia-Hao Syu; Jerry Chun-Wei Lin (IEEE Big Data, 2023)

Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning. - Jia-Hao Syu; Jerry Chun-Wei Lin; Gautam Srivastava 001 (FUZZ, 2023)

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment. - Bohdan Shubyn; Piotr Grzesik; Taras Maksymyuk; Daniel Kostrzewa; Pawel Benecki; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (ICCS (5), 2023)

HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets. - Jia-Hao Syu; Jerry Chun-Wei Lin; Marcin Fojcik; Rafal Cupek (PDP, 2023)

Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making. - Jia-Hao Syu; Jerry Chun-Wei Lin; Philip S. Yu (SDM, 2023)

A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics. - Jia-Hao Syu; Jerry Chun-Wei Lin; Gautam Srivastava 001; Keping Yu (IEEE Trans. Consumer Electron., 2023)

Stock Selection System Through Suitability Index and Fuzzy-Based Quantitative Characteristics. - Jia-Hao Syu; Jerry Chun-Wei Lin; Chi-Jen Wu; Jan-Ming Ho (IEEE Trans. Fuzzy Syst., 2023)

Energy grid management system with anomaly detection and Q-learning decision modules. - Jia-Hao Syu; Gautam Srivastava 001; Marcin Fojcik; Rafal Cupek; Jerry Chun-Wei Lin (Comput. Electr. Eng., 2023)

Federated Learning for improved prediction of failures in Autonomous Guided Vehicles. - Bohdan Shubyn; Daniel Kostrzewa; Piotr Grzesik; Pawel Benecki; Taras Maksymyuk; Vaidy S. Sunderam; Jia-Hao Syu; Jerry Chun-Wei Lin; Dariusz Mrozek (J. Comput. Sci., 2023)

TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System. - Jia-Hao Syu; Rafal Cupek; Chao-Chun Chen; Jerry Chun-Wei Lin (PAKDD (5), 2024)

AI-Based Electricity Grid Management for Sustainability, Reliability, and Security. - Jia-Hao Syu; Jerry Chun-Wei Lin; Gautam Srivastava 001 (IEEE Consumer Electron. Mag., 2024)

Heterogeneous Federated Learning for Non-IID Smartwatch Data Classification. - Jia-Hao Syu; Jerry Chun-Wei Lin (IEEE Internet Things J., 2024)

HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data. - Jia-Hao Syu; Marcin Fojcik; Rafal Cupek; Jerry Chun-Wei Lin (Inf. Fusion, 2025)

Multi-head learning models for power consumption prediction of unmanned ground vehicles. - Jia-Hao Syu; Jerry Chun-Wei Lin; Philip S. Yu (Inf. Fusion, 2025)

Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction. - Jia-Hao Syu; Jerry Chun-Wei Lin (CoRR, 2025)

Distributed Multi-Head Learning Systems for Power Consumption Prediction. - Jia-Hao Syu; Jerry Chun-Wei Lin; Philip S. Yu (CoRR, 2025)

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism. - Jia-Hao Syu; Jerry Chun-Wei Lin; Gautam Srivastava 001; Unil Yun (CoRR, 2025)

Trapezoid and trapezoidal prism for the maximum relative drawdown: Probability, crash options pricing, and risk. - Jia-Hao Syu; Yuh-Dauh Lyuu (Appl. Math. Comput., 2026)