Author

Yu-Chao Zhang

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Book Open access Aug 2026

ResDIF: A Residual Disentanglement Framework for Interpretable Financial Time Series Forecasting via Spectrally-Enhanced Temporal Encoding

ResDIF, a Residual Disentanglement framework for Interpretable financial time series Forecasting inspired by Asset Pricing Theory, is proposed and demonstrates that ResDIF outperforms existing methods while providing actionable interpretability support for refined portfolio risk management.

Chengwei Fu, Gang Xiao, Yu-Chao Zhang et al. · Proceedings of the 32nd ACM... · 0 citations

#machine learning Preprint Sep 2026

DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel $k$-Means Clustering

The method generates granular balls in the current fused kernel space and alternates kernel-weight learning with granular-ball membership updates, allowing the representation to adapt to changes in the fused-kernel geometry.

Xiao-Yu Lian, Yu-Chao Zhang, Shu-Yin Xia et al. · 0 citations