Author

Zhen-Hao Shang

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Preprint Sep 2026

SubRot: Signed Gradient Subspace Calibration for VLM Rotation Quantization

Post-training quantization reduces the deployment cost of vision-language models (VLMs), but preserving multimodal capabilities at low bit widths remains challenging. Existing methods rely on modality- or token-level gradient statistics, which are susceptible to cross-sample variations in visual-to-textual token ratios...

Zhen-Hao Shang, Hai-Zhao Jing, Hao-Kui Zhang et al. · 0 citations

Preprint Sep 2026

P4Q: Co-designing Token Pruning and Quantization for Vision-Language Model Acceleration

Vision language models have achieved strong performance across a wide range of multimodal applications, yet their substantial computational and memory costs hinder efficient deployment. Visual token pruning and post-training quantization reduce inference overhead along two complementary dimensions, namely sequence leng...

Hai-Zhao Jing, Zhen-Hao Shang, Hao-Kui Zhang et al. · 0 citations