5 papers
Spectral Condition for P under Width-Depth Scaling
Chenyu Zheng, Rongzhen Wang, Xinyu Zhang +1
Generative foundation models are increasingly scaled in both width and depth, posing significant challenges for stable feature learning and reliable hyperparameter (HP) transfer ac…
Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
Chi-Sheng Chen, Xinyu Zhang, Guan-Ying Chen +3
Foundation models pretrained on large-scale 3D medical imaging data face challenges when adapted to multiple downstream tasks under continual learning with limited labeled data. We…
Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
Chi-Sheng Chen, Xinyu Zhang, En-Jui Kuo +3
Quantum machine learning offers a promising pathway for enhancing stock market prediction, particularly under complex, noisy, and highly dynamic financial environments. However, ma…
FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
Chi-Sheng Chen, Xinyu Zhang, En-Jui Kuo +3
Time series forecasting models often lack interpretability, limiting their adoption in domains requiring explainable predictions. We propose \textsc{FreqLens}, an interpretable for…
Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market
Chi-Sheng Chen, Xinyu Zhang, Ya-Chuan Chen
We propose a hybrid quantum-classical reinforcement learning framework for sector rotation in the Taiwan stock market. Our system employs Proximal Policy Optimization (PPO) as the…