Author

Yao Li

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#machine learning Preprint Oct 2026

Purify Before You Align: Improving Representation Alignment for Diffusion Models

Representation alignment improves and accelerates diffusion training by encouraging intermediate features to match a pretrained visual encoder. However, standard alignment matches pretrained representations without distinguishing what information may be more useful for generation. We introduce local appearance purifica...

Yingheng Wang, Yao Li, Ya-Qin Wu et al. · 0 citations

Open access Sep 2026

STDR-Net: A Spatio-Temporal Dependency Refinement Network for Motor Imagery EEG Decoding

Background/Objectives: Motor imagery electroencephalography (MI-EEG) contains weak, non-stationary patterns that evolve across channels and time. Effective decoding requires local sensorimotor structure, trial-wide context, and ordered temporal evolution to be represented without discarding information from earlier pro...

Wei Zhao, Jia-Ning Dai, Yi-Tong Pan et al. · Brain Science · 0 citations