Author

Shuangwu Chen

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Preprint Sep 2026

SCORAS-MoE: Joint Compression and Resource-Adaptive Deployment of MoE-VLMs in LEO Satellite Networks

Deploying large vision-language models (VLMs) onboard satellites enables onboard data processing and reduces raw data downlink. However, onboard inference faces two resource challenges. Limited onboard memory and energy require model compression and distributed deployment. Dynamic resource availability requires fast de...

Tong Quan, Yuan-Long Wan, Hua-Sen He et al. · 0 citations

Preprint Aug 2026

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models

Video large language models (VideoLLMs) achieve strong video understanding performance, but their inference remains expensive due to the large number of redundant spatio-temporal visual tokens in long videos. Existing token pruning methods alleviate this cost by reducing redundant tokens, yet most of them rely on segme...

Meng-Jie Zhang, Qi-Hui Zhu, Tao Zhang et al. · 0 citations

Conference Open access 2026

SpecCache: Speculative KV Cache Reuse for Efficient RAG Serving

This work finds that the deep-layer features of a lightweight speculative model exhibit strong consistency with the target model in the selection of critical tokens for recomputation, and proposes SpecCache, which employs deep-layer hidden-state norms from a speculative model as a proxy to guide the critical token sele...

Zijian Wen, Tao Zhang, Shuangwu Chen et al. · Annual Meeting of the Associ... · 1 citation