Yun-Cheng Tsai

Orcid: 0000-0002-6266-7260

According to our database1, Yun-Cheng Tsai authored at least 38 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Quality-Driven Agentic Reasoning for LLM-Assisted Software Design: Questions-of-Thoughts (QoT) as a Time-Series Self-QA Chain.
CoRR, March, 2026

Quantum-Enhanced Temporal Embeddings via a Hybrid Seq2Seq Architecture.
CoRR, February, 2026

2025
Batched Training for QLSTM vs. QFWP: A System-Oriented Approach to EPC-Aware RMSE-DA.
CoRR, December, 2025

Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection.
CoRR, December, 2025

Enhancing the Practical Reliability of Shor's Quantum Algorithm via Generalized Period Decomposition: Theory and Large-Scale Empirical Validation.
CoRR, December, 2025

A Modular AIoT Framework for Low-Latency Real-Time Robotic Teleoperation in Smart Cities.
CoRR, October, 2025

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading.
CoRR, September, 2025

Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting.
CoRR, August, 2025

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis.
CoRR, June, 2025

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

Blockchain-Driven Solutions for Carbon Credit Trading: A Decentralized Platform for SMEs.
CoRR, April, 2025

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024
Empowering students through active learning in educational big data analytics.
Smart Learn. Environ., December, 2024

Empowering young learners to explore blockchain with user-friendly tools: a method using Google Blockly and NFTs.
IET Blockchain, 2024

Bridging Literature and Code: Empowering Students to Explore Digital Humanities Through Generative AI.
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.
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.
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.
CoRR, 2023

Enhancing Model Explainability in Financial Trading Using Training Aid Samples: A CNN-Based Candlestick Pattern Recognition Approach.
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.
Proceedings of the Innovative Technologies and Learning - 6th International Conference, 2023

2022
The Value Chain of Education Metaverse.
CoRR, 2022

Financial Vision Based Reinforcement Learning Trading Strategy.
CoRR, 2022

Dynamic Deep Convolutional Candlestick Learner.
CoRR, 2022

Explainable Digital Currency Candlestick Pattern AI Learner.
Proceedings of the 14th International Conference on Knowledge and Smart Technology, 2022

2021
Long text to image converter for financial reports.
Int. J. Data Min. Model. Manag., 2021

Financial Vision Based Differential Privacy Applications.
CoRR, 2021

2020
Predict Forex Trend via Convolutional Neural Networks.
J. Intell. Syst., 2020

Adversarial Robustness of Deep Convolutional Candlestick Learner.
CoRR, 2020

Data Augmentation for Deep Candlestick Learner.
CoRR, 2020

Explainable Deep Convolutional Candlestick Learner.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Deep Reinforcement Learning for Foreign Exchange Trading.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019
Deep Reinforcement Learning for Foreign Exchange Trading.
CoRR, 2019

Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks.
CoRR, 2019

2018
How the Taiwanese Do China Studies: Applications of Text Mining.
J. Data Min. Digit. Humanit., 2018

Text Mining Analysis of Teaching Evaluation Questionnaires for the Selection of Outstanding Teaching Faculty Members.
IEEE Access, 2018

Developing a serious game for the elderly to do physical and cognitive hybrid activities.
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.
Proceedings of the 2010 IEEE International Symposium on Workload Characterization, 2010


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