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20242026
most citedLEO Satellite Network Access in the Wild: Potentials, Experiences, and Challenges

18 citations · 21 across the 11 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CY2026

Looking Back and Forward: What Teaching Materials Do Not Remember About Instructional Reasoning

Yi Ching Chou, Hao Fang, Haoyuan Zhao +1

Instructional materials can be passed along to new instructors, yet the instructional reasoning, such as instructional intentions, contextual information, and reflective insights b…

cs.AI2026

Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents

Jiaxing Li, Hao Fang, Chi Xu +5

Rapid biodiversity loss underscore the urgency of effective monitoring, yet manual surveys remain resource-intensive. While on-device AI offers a scalable alternative, its performa…

cs.NI2026

OrbitTransit: Traffic Delivery and Diffusion for Earth Observation via Satellite Mobility

Haoyuan Zhao, Long Chen, Yi Ching Chou +2

The emerging demand for Earth observation (EO) to address environmental challenges has driven unprecedented growth in its primary carrier, Low Earth Orbit satellites, in recent yea…

cs.MM2026★ 1 cited

Rethink Web Service Resilience in Space: A Radiation-Aware and Sustainable Transmission Solution

Long Chen, Hao Fang, Yi Ching Chou +5

Low Earth Orbit (LEO) satellite networks such as Starlink and Project Kuiper are increasingly integrated with cloud infrastructures, forming an important internet backbone for glob…

cs.CV2026

QuickGrasp: Responsive Video-Language Querying Service via Accelerated Tokenization and Edge-Augmented Inference

Miao Zhang, Ruixiao Zhang, Jianxin Shi +3

Video-language models (VLMs) are reshaping video querying services, bringing unified solutions to complex perception and reasoning tasks. However, deploying large VLMs in real-worl…

cs.NI2026

ViTMAlis: Towards Latency-Critical Mobile Video Analytics with Vision Transformers

Miao Zhang, Guanzhen Wu, Hao Fang +4

Edge-assisted mobile video analytics (MVA) applications are increasingly shifting from using vision models based on convolutional neural networks (CNNs) to those built on vision tr…