Author

Yuan-Yuan Cheng

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Preprint Oct 2026

Hybrid-Basis Feature Forecasting for Diffusion Sampling Acceleration

We propose Hybrid-Basis Feature Forecasting (HybridFF), a training-free, plug-and-play framework for accelerating diffusion sampling. To capture local smoothness, long-range trends, and complex non-monotonic variations when modeling feature evolution, HybridFF first estimates coefficients using moving least squares (ML...

K. Cheng, Yuan-Yuan Cheng, Yu-Fang Jin et al. · 0 citations

Jul 2026

Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning

This work proposes a novel source-prior-driven selective adaptation method to efficiently fine-tune diffusion models, achieving a favorable trade-off between adaptation-retention and generative capability.

Yi Xiong, Yuan-yuan Cheng, Xiao-Ming Fu · arXiv.org · 0 citations