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Ding-Jie Peng

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#machine learning Preprint Sep 2026

MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and Subjects

High-density surface electromyography (HD-sEMG) gesture recognition supports prosthetic control, assistive robotics, and rehabilitation, but electrode re-donning and physiological variability cause distribution shifts that degrade accuracy across sessions and subjects. Generative HD-sEMG models primarily synthesize sig...

Chen-Hao Wu, Ding-Jie Peng, Zhi-He Zhang et al. · 0 citations
Preprint Aug 2026

GVCCTurbo: Rate-Compute Quality Scheduling for Codebook Driven Generative Compression

This work proposes GVCCTurbo, a BPP-driven scheduler that separates expensive prior refreshes from codebook corrections, and supports BPP-to-compute scheduling as a controllable extension of sampler-length tuning, without requiring the allocated point to dominate every boundary point.

Ziyue Zeng, Ding-Jie Peng, Xun Su et al. · 0 citations

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