Author

Bo-Yuan Zhang

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#machine learning Preprint Sep 2026

KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers

Financial candlestick forecasting is fundamental to quantitative investment, yet it remains exceptionally challenging due to extremely low signal-to-noise ratios and vast heterogeneity across markets and instruments. Existing approaches have largely attempted to introduce deep learning to capture hidden temporal featur...

Bo-Yuan Zhang, Hao-Ru Li · 0 citations

Sep 2026

SMArT: A Self-Driven Multiview Architecture Leveraging Large Language Models for Time Series Forecasting.

Time series forecasting (TSF) is critical in numerous real-world applications, yet its sequential scalar presentation limits semantic richness and the capture of complex temporal patterns. Recent advances leveraging patchwise modeling and pretrained large language models (LLMs) have achieved notable progress. However,...

Wen-Bin Xing, Meng-Ran Li, Bo-Yuan Zhang et al. · IEEE Transactions on Neural... · 0 citations