3 citations · 3 across the 3 of their papers we have counts for
4 papers
Conditional Quantum Flow Matching for Data-Scarce Physiological Signal Augmentation
Chi-Sheng Chen, Samuel Yen-Chi Chen
Generative augmentation is a standard remedy for label scarcity in physiological signal classification, but existing quantum generative models start from uninformative noise, ignor…
Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits
Chi-Sheng Chen, Samuel Yen-Chi Chen
Time series forecasting is vital in domains where data sensitivity is paramount, such as finance and energy systems. While Differential Privacy (DP) provides theoretical guarantees…
Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning
Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng
Electroencephalography (EEG) is widely used in neuroscience and clinical research for analyzing brain activity. While deep learning models such as EEGNet have shown success in deco…
QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding
Chi-Sheng Chen, Samuel Yen-Chi Chen, Aidan Hung-Wen Tsai +1
Electroencephalography (EEG) is a critical tool in neuroscience and clinical practice for monitoring and analyzing brain activity. Traditional neural network models, such as EEGNet…