Author

Min-Nan Pei

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Jul 2026

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference

This paper proposes VQVLA, an algorithm-hardware co-design framework that accelerates VLA inference by exploiting weight similarity and execution dynamics, and proposes a merged-centroid vectorized GEMM paradigm that operates on the codebook-index representation.

Zhuoran Song, Haozhe Jiang, Chunyu Qi et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

From Splats to Silicon: Rethinking Computational Efficiency of 3DGS

3D Gaussian splatting (3DGS) represents scenes with explicit primitives and supports real-time novel-view synthesis, yet its system efficiency varies substantially across scenes, viewpoints, rendering paths, and platform constraints. Existing studies pursue efficiency through representation and algorithm design, GPU ru...

Min-Nan Pei, Qi-Wei Dong, Yi-Han Zhou et al. · 0 citations