7 papers
QUIDS: Quality-informed Incentive-driven Multi-agent Dispatching System for Mobile Crowdsensing
Nan Zhou, Zuxin Li, Fanhang Man +7
This paper addresses the challenge of achieving optimal Quality of Information (QoI) in non-dedicated vehicular mobile crowdsensing (NVMCS) systems. The key obstacles are the inter…
StreamingAssistant: Efficient Visual Token Pruning for Accelerating Online Video Understanding
Xinqi Jin, Hanxun Yu, Bohan Yu +8
Online video understanding is essential for applications like public surveillance and AI glasses. However, applying Multimodal Large Language Models (MLLMs) to this domain is chall…
edgeVLM: Cloud-edge Collaborative Real-time VLM based on Context Transfer
Chen Qian, Xinran Yu, Zewen Huang +6
Vision-Language Models (VLMs) are increasingly deployed in real-time applications such as autonomous driving and human-computer interaction, which demand fast and reliable response…
iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols
Xikai Sun, Fan Dang, Shiqi Jiang +8
Conformance testing is essential for ensuring that protocol implementations comply with their specifications. However, traditional testing approaches involve manually creating nume…
SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices
Xiangwen Zhuge, Xu Shen, Zeyu Wang +6
Efficient LLM inference on resource-constrained devices presents significant challenges in compute and memory utilization. Due to limited GPU memory, existing systems offload model…
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
Ke Ma, Jiaqi Tang, Bin Guo +8
Despite the growing integration of deep models into mobile terminals, the accuracy of these models declines significantly due to various deployment interferences. Test-time adaptat…