Yun-Cheng Tsai

44 papers B 2C 2Misc 1Journal 33Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quality-Driven Agentic Reasoning for LLM-Assisted Software Design: Questions-of-Thoughts (QoT) as a Time-Series Self-QA Chain. CoRR Yen-Ku Liu, Yun-Cheng Tsai
2026	J	`jnl`	Quantum-Enhanced Temporal Embeddings via a Hybrid Seq2Seq Architecture. CoRR Tien-Ching Hsieh, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	A Modular AIoT Framework for Low-Latency Real-Time Robotic Teleoperation in Smart Cities. CoRR Shih-Chieh Sun, Yun-Cheng Tsai
2025	J	`jnl`	Batched Training for QLSTM vs. QFWP: A System-Oriented Approach to EPC-Aware RMSE-DA. CoRR Jun-Hao Chen, Ming-Kai Hung, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting. CoRR Chi-Sheng Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai
2025	J	`jnl`	Blockchain-Driven Solutions for Carbon Credit Trading: A Decentralized Platform for SMEs. CoRR Yun-Cheng Tsai
2025	J	`jnl`	Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis. CoRR Yun-Cheng Tsai, Yen-Ku Liu, Samuel Yen-Chi Chen
2025	J	`jnl`	Enhancing the Practical Reliability of Shor's Quantum Algorithm via Generalized Period Decomposition: Theory and Large-Scale Empirical Validation. CoRR Chih-Chen Liao, Chia-Hsin Liu, Yun-Cheng Tsai
2025	J	`jnl`	Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection. CoRR Yen-Ku Liu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	B	`conf`	Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. ICCCN Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. CoRR Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading. CoRR Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions. CoRR Yen-Ku Liu, Yun-Huei Pan, Pei-Fan Lu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Robust and Annotation-Free Wound Segmentation on Noisy Real-World Pressure Ulcer Images: Towards Automated DESIGN-R® Assessment. CoRR Yun-Cheng Tsai
2024	—	`conf`	Bridging Literature and Code: Empowering Students to Explore Digital Humanities Through Generative AI. ICITL (2) Yun-Cheng Tsai, Shih-Pei Chen
2024	J	`jnl`	Empowering students through active learning in educational big data analytics. Smart Learn. Environ. Yun-Cheng Tsai
2024	J	`jnl`	Empowering young learners to explore blockchain with user-friendly tools: a method using Google Blockly and NFTs. IET Blockchain Yun-Cheng Tsai, Jiun-Yu Huang, Da-Ru Chiou
2024	—	`conf`	Enhancing Python Learning Through Retrieval-Augmented Generation: A Theoretical and Applied Innovation in Generative AI Education. ICITL (2) Hsing-Tzu Ko, Yen-Ku Liu, Yun-Cheng Tsai, Summit Suen
2024	B	`conf`	Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing Assistants. IEEE Big Data Yen-Ku Liu, Yun-Cheng Tsai
2023	—	`conf`	Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills. ICITL Yun-Cheng Tsai
2023	J	`jnl`	Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills. CoRR Yun-Cheng Tsai
2023	J	`jnl`	Empowering Young Learners to Explore Blockchain with User-Friendly Tools: A Method Using Google Blockly and NFTs. CoRR Yun-Cheng Tsai, Jiun-Yu Huang, Da-Ru Chiou
2023	Misc	`conf`	Enhancing Model Explainability in Financial Trading Using Training Aid Samples: A CNN-Based Candlestick Pattern Recognition Approach. IRI Yun-Cheng Tsai, Jun-Hao Chen
2023	J	`jnl`	Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems through Natural Interaction and Text Mining. CoRR Yun-Cheng Tsai
2022	J	`jnl`	Dynamic Deep Convolutional Candlestick Learner. CoRR Jun-Hao Chen, Yun-Cheng Tsai
2022	—	`conf`	Explainable Digital Currency Candlestick Pattern AI Learner. KST Jun-Hao Chen, Cheng-Han Wu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2022	J	`jnl`	Financial Vision Based Reinforcement Learning Trading Strategy. CoRR Yun-Cheng Tsai, Fu-Min Szu, Jun-Hao Chen, Samuel Yen-Chi Chen
2022	J	`jnl`	The Value Chain of Education Metaverse. CoRR Yun-Cheng Tsai
2021	J	`jnl`	Financial Vision Based Differential Privacy Applications. CoRR Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2021	J	`jnl`	Long text to image converter for financial reports. Int. J. Data Min. Model. Manag. Chia-Hao Chiu, Yun-Cheng Tsai, Ho-Lin Chen
2020	J	`jnl`	Adversarial Robustness of Deep Convolutional Candlestick Learner. CoRR Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
2020	J	`jnl`	Data Augmentation for Deep Candlestick Learner. CoRR Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai
2020	C	`conf`	Deep Reinforcement Learning for Foreign Exchange Trading. IEA/AIE Yun-Cheng Tsai, Chun-Chieh Wang, Fu-Min Szu, Kuan-Jen Wang
2020	C	`conf`	Explainable Deep Convolutional Candlestick Learner. SEKE Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
2020	J	`jnl`	Explainable Deep Convolutional Candlestick Learner. CoRR Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
2020	J	`jnl`	Predict Forex Trend via Convolutional Neural Networks. J. Intell. Syst. Yun-Cheng Tsai, Jun-Hao Chen, Junjie Wang
2019	J	`jnl`	Deep Reinforcement Learning for Foreign Exchange Trading. CoRR Chun-Chieh Wang, Yun-Cheng Tsai
2019	J	`jnl`	Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks. CoRR Yun-Cheng Tsai, Jun-Hao Chen, Chun-Chieh Wang
2018	—	`conf`	Developing a serious game for the elderly to do physical and cognitive hybrid activities. SeGAH Yu-Hsiang Lin, Hui-Fen Mao, Yun-Cheng Tsai, Jui-Jen Chou
2018	J	`jnl`	How the Taiwanese Do China Studies: Applications of Text Mining. CoRR Hsuan-Lei Shao, Sieh-Chuen Huang, Yun-Cheng Tsai
2018	J	`jnl`	How the Taiwanese Do China Studies: Applications of Text Mining. J. Data Min. Digit. Humanit. Hsuan-Lei Shao, Sieh-Chuen Huang, Yun-Cheng Tsai
2018	J	`jnl`	Predict Forex Trend via Convolutional Neural Networks. CoRR Yun-Cheng Tsai, Jun-Hao Chen, Junjie Wang
2018	J	`jnl`	Text Mining Analysis of Teaching Evaluation Questionnaires for the Selection of Outstanding Teaching Faculty Members. IEEE Access Chiu-Wang Tseng, Jui-Jen Chou, Yun-Cheng Tsai
2010	—	`conf`	Parallelization and characterization of GARCH option pricing on GPUs. IISWC Ren-Shuo Liu, Yun-Cheng Tsai, Chia-Lin Yang