الباحثون

Haoliang Li

المنشورات 2

نسخة أولية وصول مفتوح

FlyMark: Training-Free Invisible Watermarking of 3D Gaussian Splatting via a Fruit Fly Connectome

A trained 3D Gaussian Splatting (3DGS) scene ships as a portable parameter array that can be copied, pruned, requantized, or repackaged outside its training pipeline, so ownership evidence is most useful when it lives in the released parameters and remains checkable long after the embedding tooling is gone. Existing 3D …

نسخة أولية وصول مفتوح

D-Loop: Looped Diffusion Drafting for Speculative Decoding

Kecheng Chen, Yuyang He, Cheng Gong وآخرون · 2026

Block diffusion accelerates speculative decoding by drafting multiple tokens in one forward pass. However, each position predicts a marginal distribution without observing earlier proposed tokens, limiting draft quality and acceptance length. We identify a concrete failure, the \emph{repetition trap}, in which neighbor …

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