3 citations · 6 across the 8 of their papers we have counts for
3 papers · 1 filter
Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance
Chi-Sheng Chen, Aidan Hung-Wen Tsai
We formulate automated market maker (AMM) \emph{rebalancing} as a binary detection problem and study a hybrid quantum--classical self-attention block, \textbf{Quantum Adaptive Self…
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…
Quantum Multimodal Contrastive Learning Framework
Chi-Sheng Chen, Aidan Hung-Wen Tsai, Sheng-Chieh Huang
In this paper, we propose a novel framework for multimodal contrastive learning utilizing a quantum encoder to integrate EEG (electroencephalogram) and image data. This groundbreak…