Ching-Sheng Lin

Mixture-of-prompt experts for federated sentiment classification under non-IID data

Federated learning (FL) enables collaborative text classification while preserving data privacy, yet its performance can be degraded under non-IID data. This challenge is particularly severe in natural language processing, where client data may differ in linguistic style, topic d...

A class-wise quantum relational calibration network for brain tumor diagnosis

Accurate and reliable brain tumor diagnosis from magnetic resonance imaging (MRI) remains a challenging task, particularly in multi-class settings where inter-class ambiguity and miscalibration may degrade predictive performance. In this work, we propose a Class-wise Quantum Rela...