Yun-Cheng Tsai

According to our database, Yun-Cheng Tsai authored at least 32 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading.

Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai, Samuel Yen-Chi Chen

CoRR, September, 2025

Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting.

Chi-Sheng Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai

CoRR, August, 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, July, 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, June, 2025

Robust and Annotation-Free Wound Segmentation on Noisy Real-World Pressure Ulcer Images: Towards Automated DESIGN-R® Assessment.

Yun-Cheng Tsai

CoRR, May, 2025

Blockchain-Driven Solutions for Carbon Credit Trading: A Decentralized Platform for SMEs.

Yun-Cheng Tsai

CoRR, April, 2025

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data.

Yun-Cheng Tsai, Samuel Yen-Chi Chen

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024

Empowering students through active learning in educational big data analytics.

Yun-Cheng Tsai

Smart Learn. Environ., December, 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

Bridging Literature and Code: Empowering Students to Explore Digital Humanities Through Generative AI.

Yun-Cheng Tsai, Shih-Pei Chen

Proceedings of the Innovative Technologies and Learning - 7th International Conference, 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

Proceedings of the Innovative Technologies and Learning - 7th International Conference, 2024

Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing Assistants.

Yen-Ku Liu, Yun-Cheng Tsai

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems through Natural Interaction and Text Mining.

Yun-Cheng Tsai

CoRR, 2023

Enhancing Model Explainability in Financial Trading Using Training Aid Samples: A CNN-Based Candlestick Pattern Recognition Approach.

Yun-Cheng Tsai, Jun-Hao Chen

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills.

Yun-Cheng Tsai

Proceedings of the Innovative Technologies and Learning - 6th International Conference, 2023

2022

The Value Chain of Education Metaverse.

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

Dynamic Deep Convolutional Candlestick Learner.

Jun-Hao Chen, Yun-Cheng Tsai

CoRR, 2022

Explainable Digital Currency Candlestick Pattern AI Learner.

Jun-Hao Chen, Cheng-Han Wu, Yun-Cheng Tsai, Samuel Yen-Chi Chen

Proceedings of the 14th International Conference on Knowledge and Smart Technology, 2022

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

Financial Vision Based Differential Privacy Applications.

Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen

CoRR, 2021

2020

Predict Forex Trend via Convolutional Neural Networks.

Yun-Cheng Tsai, Jun-Hao Chen, Jun-Jie Wang

J. Intell. Syst., 2020

Adversarial Robustness of Deep Convolutional Candlestick Learner.

Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur

CoRR, 2020

Data Augmentation for Deep Candlestick Learner.

Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai

CoRR, 2020

Explainable Deep Convolutional Candlestick Learner.

Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Deep Reinforcement Learning for Foreign Exchange Trading.

Yun-Cheng Tsai, Chun-Chieh Wang, Fu-Min Szu, Kuan-Jen Wang

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019

Deep Reinforcement Learning for Foreign Exchange Trading.

Chun-Chieh Wang, Yun-Cheng Tsai

CoRR, 2019

Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks.

Yun-Cheng Tsai, Jun-Hao Chen, Chun-Chieh Wang

CoRR, 2019

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

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

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

Proceedings of the 6th IEEE International Conference on Serious Games and Applications for Health, 2018

2010

Parallelization and characterization of GARCH option pricing on GPUs.

Ren-Shuo Liu, Yun-Cheng Tsai, Chia-Lin Yang

Proceedings of the 2010 IEEE International Symposium on Workload Characterization, 2010