activity
20242026
most citedDistributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs

60 citations · 60 across the 13 of their papers we have counts for

collaborators

13 papers

cs.NI2026

Spatio-Temporal Semantic Inference for Resilient 6G HRLLC in the Low-Altitude Economy

Chuan-Chi Lai, Ang-Hsun Tsai, Zhu Han

The rapid expansion of the Low-Altitude Economy (LAE) necessitates highly reliable coordination among autonomous aerial agents (AAAs). Traditional reactive communication paradigms…

cs.DC2026

Hierarchical Observe-Orient-Decide-Act Enabled UAV Swarms in Uncertain Environments: Frameworks, Potentials, and Challenges

Ziye Jia, Yao Wu, Qihui Wu +4

Unmanned aerial vehicle (UAV) swarms are increasingly explored for their potentials in various applications such as surveillance, disaster response, and military. However, UAV swar…

cs.CR2026

A Blockchain-Based Trust Framework for Resilient Cross-Domain UAV Service Orchestration

Yao Wu, Ziye Jia, Jingjing Zhao +3

Unmanned aerial vehicle (UAV) networks are increasingly deployed for complex missions, including disaster response, intelligent logistics, and environmental monitoring. These missi…

cs.NI2025

Hierarchical Low-Altitude Wireless Network Empowered Air Traffic Management

Ziye Jia, Jia He, Yuanhao Cui +6

As the increasing development of low-altitude aircrafts, the rational design of low-altitude networks directly impacts the aerial safety and resource utilization. To address the ch…

cs.NI2025

Dynamic Trajectory Optimization and Power Control for Hierarchical UAV Swarms in 6G Aerial Access Network

Ziye Jia, Jia He, Lijun He +4

Unmanned aerial vehicles (UAVs) can serve as aerial base stations (BSs) to extend the ubiquitous connectivity for ground users (GUs) in the sixth-generation (6G) era. However, it i…

eess.SP2025

Remote ID Based UAV Collision Avoidance Optimization for Low-Altitude Airspace Safety

Ziye Jia, Yian Zhu, Qihui Wu +3

With the rapid development of unmanned aerial vehicles (UAVs), it is paramount to ensure safe and efficient operations in open airspaces. The remote identification (Remote ID) is d…

eess.SY2025

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning

Ziye Jia, Sijie He, Qiuming Zhu +3

Due to the high flexibility and versatility, unmanned aerial vehicles (UAVs) are leveraged in various fields including surveillance and disaster rescue.However, in UAV networks, ro…

cs.AI2025

Joint Computation Offloading and Resource Allocation for Uncertain Maritime MEC via Cooperation of UAVs and Vessels

Jiahao You, Ziye Jia, Chao Dong +2

The computation demands from the maritime Internet of Things (MIoT) increase rapidly in recent years, and the unmanned aerial vehicles (UAVs) and vessels based multi-access edge co…

cs.DC2025★ 60 cited

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs

Ziye Jia, Can Cui, Chao Dong +4

With an extensive increment of computation demands, the aerial multi-access edge computing (MEC), mainly based on unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs)…

cs.AI2025

Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehicles

Jiahao You, Ziye Jia, Chao Dong +2

The increasing deployment of unmanned surface vehicles (USVs) require computational support and coverage in applications such as maritime search and rescue. Unmanned aerial vehicle…

cs.NI2024

Distributionally Robust Optimization for Computation Offloading in Aerial Access Networks

Guanwang Jiang, Ziye Jia, Lijun He +3

With the rapid increment of multiple users for data offloading and computation, it is challenging to guarantee the quality of service (QoS) in remote areas. To deal with the challe…

eess.SY2024

Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation

Yousef Emami, Hao Gao, Kai Li +3

Unmanned Aerial Vehicle (UAV) swarms play an effective role in timely data collection from ground sensors in remote and hostile areas. Optimizing the collective behavior of swarms…

cs.IT2024

Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach

Chong Huang, Gaojie Chen, Pei Xiao +3

In recent years, the amalgamation of satellite communications and aerial platforms into space-air-ground integrated network (SAGINs) has emerged as an indispensable area of researc…