Author

Yu-Feng Zhang

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Preprint Oct 2026

FlashT2S: GPU-Accelerated Tensor-to-Spike Conversion Operators for Heterogeneous Neuromorphic LLM Backends

Artificial intelligence faces two growing challenges: computational bottlenecks and energy inefficiency inherent to the von Neumann architecture. Neuromorphic computing offers a promising alternative, yet its immature ecosystem still relies on conventional systems for data supply, requiring efficient conversion between...

Rong-Yuan Guo, Hao-Tian Wang, Yu-Feng Zhang et al. · 0 citations

Preprint Jul 2026

CORA-Diff: Confidence-Oriented Residual Acceptance for Efficient Diffusion Language Model Inference

This work proposes CORA-Diff, a training-free method that preserves the original transfer rule and applies confidence-and-persistence gating only to positions that rule leaves unresolved, and shows that native confidence and persistence enable reliable residual acceptance, reducing repeated denoising computation while...

Yifan Wu, Yu-Feng Zhang, Kenli Li · 0 citations