activity
20232026
most citedPrioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics

41 citations · 70 across the 35 of their papers we have counts for

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7 papers · 1 filter

cs.NI2026

Edge-Assisted Multi-View Localization for Low-Altitude Economy under GPS-Challenged Environments

Zhengru Fang, Huanhuan Lou, Senkang Hu +5

Unmanned aerial vehicles (UAVs) serving the low-altitude economy require reliable localization in urban canyons, indoor facilities, and other GPS-challenged environments. Visual ma…

cs.NI2026★ 2 cited

UAV-enabled Computing Power Networks: Design and Performance Analysis under Energy Constraints

Yiqin Deng, Zhengru Fang, Senkang Hu +4

This paper presents an innovative framework that boosts computing power by utilizing ubiquitous computing power distribution and enabling higher computing node accessibility via ad…

cs.NI2026

UAV-enabled Computing Power Networks: Task Completion Probability Analysis

Yiqin Deng, Zhengru Fang, Senkang Hu +3

This paper presents an innovative framework that synergistically enhances computing performance through ubiquitous computing power distribution and dynamic computing node accessibi…

cs.NI2025

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring

Zihan Fang, Zheng Lin, Senkang Hu +4

Outdoor health monitoring is essential to detect early abnormal health status for safeguarding human health and safety. Conventional outdoor monitoring relies on static multimodal…

cs.NI2024★ 41 cited

Prioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics

Zhengru Fang, Senkang Hu, Jingjing Wang +3

Collaborative perception systems leverage multiple edge devices, such surveillance cameras or autonomous cars, to enhance sensing quality and eliminate blind spots. Despite their a…

cs.NI2024★ 1 cited

PIB: Prioritized Information Bottleneck Framework for Collaborative Edge Video Analytics

Zhengru Fang, Senkang Hu, Liyan Yang +3

Collaborative edge sensing systems, particularly in collaborative perception systems in autonomous driving, can significantly enhance tracking accuracy and reduce blind spots with…

cs.NI2024

PACP: Priority-Aware Collaborative Perception for Connected and Autonomous Vehicles

Zhengru Fang, Senkang Hu, Haonan An +5

Surrounding perceptions are quintessential for safe driving for connected and autonomous vehicles (CAVs), where the Bird's Eye View has been employed to accurately capture spatial…