3 papers
cs.CL2025
EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG
Jacky Tai-Yu Lu, Jung Chiang, Chi-Sheng Chen +3
We propose EEG2TEXT-CN, which, to the best of our knowledge, represents one of the earliest open-vocabulary EEG-to-text generation frameworks tailored for Chinese. Built on a biolo…
cs.LG2025
Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification
Chi-Sheng Chen
Recent advancements in quantum machine learning have shown promise in enhancing classical neural network architectures, particularly in domains involving complex, high-dimensional…
quant-ph2025
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST
Chi-Sheng Chen, Wei An Hou, Hsiang-Wei Hu +1
Quantum generative models offer a promising new direction in machine learning by leveraging quantum circuits to enhance data generation capabilities. In this study, we propose a hy…