Parallelization and characterization of GARCH option pricing on GPUs. - Ren-Shuo Liu; Yun-Cheng Tsai; Chia-Lin Yang (IISWC, 2010)

Developing a serious game for the elderly to do physical and cognitive hybrid activities. - Yu-Hsiang Lin; Hui-Fen Mao; Yun-Cheng Tsai; Jui-Jen Chou (SeGAH, 2018)

Text Mining Analysis of Teaching Evaluation Questionnaires for the Selection of Outstanding Teaching Faculty Members. - Chiu-Wang Tseng; Jui-Jen Chou; Yun-Cheng Tsai (IEEE Access, 2018)

How the Taiwanese Do China Studies: Applications of Text Mining. - Hsuan-Lei Shao; Sieh-Chuen Huang; Yun-Cheng Tsai (J. Data Min. Digit. Humanit., 2018)

Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks. - Yun-Cheng Tsai; Jun-Hao Chen; Chun-Chieh Wang (CoRR, 2019)

Deep Reinforcement Learning for Foreign Exchange Trading. - Chun-Chieh Wang; Yun-Cheng Tsai (CoRR, 2019)

Deep Reinforcement Learning for Foreign Exchange Trading. - Yun-Cheng Tsai; Chun-Chieh Wang; Fu-Min Szu; Kuan-Jen Wang (IEA/AIE, 2020)

Explainable Deep Convolutional Candlestick Learner. - Jun-Hao Chen; Samuel Yen-Chi Chen; Yun-Cheng Tsai; Chih-Shiang Shur (SEKE, 2020)

Data Augmentation for Deep Candlestick Learner. - Chia-Ying Tsao; Jun-Hao Chen; Samuel Yen-Chi Chen; Yun-Cheng Tsai (CoRR, 2020)

Adversarial Robustness of Deep Convolutional Candlestick Learner. - Jun-Hao Chen; Samuel Yen-Chi Chen; Yun-Cheng Tsai; Chih-Shiang Shur (CoRR, 2020)

Predict Forex Trend via Convolutional Neural Networks. - Yun-Cheng Tsai; Jun-Hao Chen; Jun-Jie Wang (J. Intell. Syst., 2020)

Financial Vision Based Differential Privacy Applications. - Jun-Hao Chen; Yi-Jen Wang; Yun-Cheng Tsai; Samuel Yen-Chi Chen (CoRR, 2021)

Long text to image converter for financial reports. - Chia-Hao Chiu; Yun-Cheng Tsai; Ho-Lin Chen (Int. J. Data Min. Model. Manag., 2021)

Explainable Digital Currency Candlestick Pattern AI Learner. - Jun-Hao Chen; Cheng-Han Wu; Yun-Cheng Tsai; Samuel Yen-Chi Chen (KST, 2022)

Dynamic Deep Convolutional Candlestick Learner. - Jun-Hao Chen; Yun-Cheng Tsai (CoRR, 2022)

Financial Vision Based Reinforcement Learning Trading Strategy. - Yun-Cheng Tsai; Fu-Min Szu; Jun-Hao Chen; Samuel Yen-Chi Chen (CoRR, 2022)

The Value Chain of Education Metaverse. - Yun-Cheng Tsai (CoRR, 2022)

Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills. - Yun-Cheng Tsai (ICITL, 2023)

Enhancing Model Explainability in Financial Trading Using Training Aid Samples: A CNN-Based Candlestick Pattern Recognition Approach. - Yun-Cheng Tsai; Jun-Hao Chen (IRI, 2023)

Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems through Natural Interaction and Text Mining. - Yun-Cheng Tsai (CoRR, 2023)

Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing Assistants. - Yen-Ku Liu; Yun-Cheng Tsai (IEEE Big Data, 2024)

Enhancing Python Learning Through Retrieval-Augmented Generation: A Theoretical and Applied Innovation in Generative AI Education. - Hsing-Tzu Ko; Yen-Ku Liu; Yun-Cheng Tsai; Summit Suen (ICITL (2), 2024)

Bridging Literature and Code: Empowering Students to Explore Digital Humanities Through Generative AI. - Yun-Cheng Tsai; Shih-Pei Chen (ICITL (2), 2024)

Empowering young learners to explore blockchain with user-friendly tools: a method using Google Blockly and NFTs. - Yun-Cheng Tsai; Jiun-Yu Huang; Da-Ru Chiou (IET Blockchain, 2024)

Empowering students through active learning in educational big data analytics. - Yun-Cheng Tsai (Smart Learn. Environ., 2024)

Blockchain-Driven Solutions for Carbon Credit Trading: A Decentralized Platform for SMEs. - Yun-Cheng Tsai (CoRR, 2025)

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. - Yun-Cheng Tsai; Samuel Yen-Chi Chen (CoRR, 2025)

Robust and Annotation-Free Wound Segmentation on Noisy Real-World Pressure Ulcer Images: Towards Automated DESIGN-R® Assessment. - Yun-Cheng Tsai (CoRR, 2025)

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis. - Yun-Cheng Tsai; Yen-Ku Liu; Samuel Yen-Chi Chen (CoRR, 2025)

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions. - Yen-Ku Liu; Yun-Huei Pan; Pei-Fan Lu; Yun-Cheng Tsai; Samuel Yen-Chi Chen (CoRR, 2025)