Author

Ming-Tao Huang

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Preprint Sep 2026

Task-Oriented Visual Feature Compression via Residual Vector Quantization for Device-Edge Multimodal Inference

Large multimodal models (LMMs) support diverse visual understanding and reasoning tasks but are often impractical to run entirely on resource-constrained devices. Device-edge co-inference reduces device computation, yet transmitting visual data over bandwidth-limited uplinks can introduce substantial delay. Task-orient...

Lu-Ning Pang, Cheng Yuan, Jia-Wei Shao et al. · 0 citations

Preprint Aug 2026

MDGAM-Based Cooperative Task Scheduling for Communication-Constrained Distributed Multi-Agent Systems

A neural scheduling framework for distributed multi-robot task allocation, consisting of a multi-decoder graph attention model (MDGAM) policy model and a critic-free group relative multi-agent policy gradient (GRMAPG) training algorithm, which improves task-completion performance over existing heuristic and learning-ba...

Licheng Wang, Ming-Tao Huang, Yuan Shen · 0 citations