4 citations · 8 across the 11 of their papers we have counts for
11 papers
STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in LEO Satellite Networks
Chenwei Gu, Qian Wu, Zeqi Lai +6
Emerging satellite Internet constellations such as SpaceX's Starlink will deploy thousands of broadband satellites and construct Low-Earth Orbit(LEO) satellite networks(LSNs) in sp…
COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation
Ziyuan Zhang, Han Qiu, Maosen Zhang +4
With the rapidly increasing number of satellites in space and their enhanced capabilities, the amount of earth observation images collected by satellites is exceeding the transmiss…
A Case for Application-Aware Space Radiation Tolerance in Orbital Computing
Meiqi Wang, Han Qiu, Longnv Xu +5
We are witnessing a surge in the use of commercial off-the-shelf (COTS) hardware for cost-effective in-orbit computing, such as deep neural network (DNN) based on-satellite sensor…
In-Orbit Processing or Not? Sunlight-Aware Task Scheduling for Energy-Efficient Space Edge Computing Networks
Weisen Liu, Zeqi Lai, Qian Wu +5
With the rapid evolution of space-borne capabilities, space edge computing (SEC) is becoming a new computation paradigm for future integrated space and terrestrial networks. Satell…
SKYCASTLE: Taming LEO Mobility to Facilitate Seamless and Low-latency Satellite Internet Services
Jihao Li, Hewu Li, Zeqi Lai +6
Emerging integrated space and terrestrial networks (ISTN) built upon low earth orbit (LEO) satellite constellations aim at providing planet-wide Internet services, not only for res…
Your Mega-Constellations Can Be Slim:A Cost-Effective Approach for Constructing Survivable and Performant LEO Satellite Networks
Zeqi Lai, Yibo Wang, Hewu Li +5
In this paper, we investigate an important research problem facing the upcoming satellite Internet: from a network perspective, how many satellites exactly do we need to construct…
Instability of Self-Driving Satellite Mega-Constellation: From Theory to Practical Impacts on Network Lifetime and Capacity
Yimei Chen, Yuanjie Li, Hewu Li +8
Low Earth Orbit (LEO) satellite mega-constellations aim to enable high-speed Internet for numerous users anywhere on Earth. To safeguard their network infrastructure in congested o…
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing
Tian Dong, Ziyuan Zhang, Han Qiu +3
Transforming off-the-shelf deep neural network (DNN) models into dynamic multi-exit architectures can achieve inference and transmission efficiency by fragmenting and distributing…
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time
Tian Dong, Han Qiu, Tianwei Zhang +3
Transforming large deep neural network (DNN) models into the multi-exit architectures can overcome the overthinking issue and distribute a large DNN model on resource-constrained s…
Fractal Rosette: A Stable Space-Ground Network Structure in Mega-Constellation
Yuanjie Li, Hewu Li, Lixin Liu +7
We present F-Rosette, a stable space-ground network structure for low-earth orbit (LEO) satellite mega-constellations at scale. Due to the dynamic many-to-many space-ground mapping…
Modeling and Routing for Predictable Dynamic Networks: This paper is only for copyright protection, and unpublished to the top-level version
Zengyin Yang, Qian Wu, Zhize Li +2
The topologies of predictable dynamic networks are continuously dynamic in terms of node position, network connectivity and link metric. However, their dynamics are almost predicta…