activity
20222026
most citedA Survey on Collaborative DNN Inference for Edge Intelligence

97 citations · 166 across the 25 of their papers we have counts for

collaborators

26 papers

cs.IT2026

Mission Efficiency Optimization in Low-Altitude Economy: Adaptive Power Allocation for Coordinating Heterogeneous Aircraft Swarms

Jiarui Zhang, Wei Feng, Chao Dong +2

With the rapid development of the low-altitude economy, low-altitude operations are booming, where complex missions require collaborative efforts among multiple heterogeneous low-a…

cs.AI2026

Prompt-Driven Low-Altitude Edge Intelligence: Modular Agents and Generative Reasoning

Jiahao You, Ziye Jia, Chao Dong +1

The large artificial intelligence models (LAMs) show strong capabilities in perception, reasoning, and multi-modal understanding, and can enable advanced capabilities in low-altitu…

cs.LG2025

Hierarchical Task Offloading and Trajectory Optimization in Low-Altitude Intelligent Networks Via Auction and Diffusion-based MARL

Jiahao You, Ziye Jia, Can Cui +3

The low-altitude intelligent networks (LAINs) emerge as a promising architecture for delivering low-latency and energy-efficient edge intelligence in dynamic and infrastructure-lim…

eess.SP2025

Pinching Antenna Systems for Integrated Sensing and Communications

Haochen Li, Ruikang Zhong, Jiayi Lei +1

Recently, the pinching antenna system (PASS) has attracted considerable attention due to their advantages in flexible deployment and reduction of signal propagation loss. In this w…

cs.NI2025★ 3 cited

A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction

Xiaojie Li, Zhijie Cai, Nan Qi +5

The expansion of the low-altitude economy has underscored the significance of Low-Altitude Network Coverage (LANC) prediction for designing aerial corridors. While accurate LANC fo…

cs.ET2025

Robust Task Offloading for UAV-enabled Secure MEC Against Aerial Eavesdropper

Can Cui, ZIye Jia, Chao Dong +1

Unmanned aerial vehicles (UAVs) are recognized as a promising candidate for the multi-access edge computing (MEC) in the future sixth generation communication networks. However, th…

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)…

eess.SP2025

Joint ADS-B in B5G for Hierarchical UAV Networks: Performance Analysis and MEC Based Optimization

Chao Dong, Yiyang Liao, Ziye Jia +2

Unmanned aerial vehicles (UAVs) play significant roles in multiple fields, which brings great challenges for the airspace safety. In order to achieve efficient surveillance and bre…

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…

cs.DC2024

Cooperative Cognitive Dynamic System in UAV Swarms: Reconfigurable Mechanism and Framework

Ziye Jia, Jiahao You, Chao Dong +4

As the demands for immediate and effective responses increase in both civilian and military domains, the unmanned aerial vehicle (UAV) swarms emerge as effective solutions, in whic…

eess.SY2023★ 1 cited

UAV Trajectory Tracking via RNN-enhanced IMM-KF with ADS-B Data

Yian Zhu, Ziye Jia, Qihui Wu +4

With the increasing use of autonomous unmanned aerial vehicles (UAVs), it is critical to ensure that they are continuously tracked and controlled, especially when UAVs operate beyo…

eess.SP2023

UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning

Jia He, Ziye Jia, Chao Dong +3

Unmanned aerial vehicles (UAVs) are recognized as promising technologies for area coverage due to the flexibility and adaptability. However, the ability of a single UAV is limited,…

eess.SP2023

Novel Online-Offline MA2C-DDPG for Efficient Spectrum Allocation and Trajectory Optimization in Dynamic Spectrum Sharing UAV Networks

Rui Ding, Fuhui Zhou, Yuben Qu +3

Unmanned aerial vehicle (UAV) communication is of crucial importance for diverse practical applications. However, it is susceptible to the severe spectrum scarcity problem and inte…

cs.NI2023

Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach

Sijie He, Ziye Jia, Chao Dong +4

The unmanned aerial vehicle (UAV) network is popular these years due to its various applications. In the UAV network, routing is significantly affected by the distributed network t…

eess.SP2023

Impact of UAVs Equipped with ADS-B on the Civil Aviation Monitoring System

Yiyang Liao, Lei Zhang, Ziye Jia +5

In recent years, there is an increasing demand for unmanned aerial vehicles (UAVs) to complete multiple applications. However, as unmanned equipments, UAVs lead to some security ri…

cs.NI2023

The Potential of LEO Satellites in 6G Space-Air-Ground Enabled Access Networks

Ziye Jia, Chao Dong, Kun Guo +1

Space-air-ground integrated networks (SAGINs) help enhance the service performance in the sixth generation communication system. SAGIN is basically composed of satellites, aerial v…

cs.NI2023

Distributionally Robust Chance-Constrained Optimization for Hierarchical UAV-based MEC

Can Cui, Ziye Jia, Chao Dong +3

Multi-access edge computing (MEC) is regarded as a promising technology in the sixth-generation communication. However, the antenna gain is always affected by the environment when…

cs.NI2023

SFC Deployment in Space-Air-Ground Integrated Networks Based on Matching Game

Yilu Cao, Ziye Jia, Chao Dong +3

The space-air-ground integrated network (SAGIN) is dynamic and flexible, which can support transmitting data in environments lacking ground communication facilities. However, the n…

cs.NI2023★ 1 cited

Computation Offloading for Uncertain Marine Tasks by Cooperation of UAVs and Vessels

Jiahao You, Ziye Jia, Chao Dong +3

With the continuous increment of maritime applications, the development of marine networks for data offloading becomes necessary. However, the limited maritime network resources ar…

cs.DS2022

Column Generation for Optimization Problems in Communication Networks

Ziye Jia, Qihui Wu, Chao Dong +2

Numerous communication networks are emerging to serve the various demands and improve the quality of service. Heterogeneous users have different requirements on quality metrics suc…

eess.SP2022

Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information

Yifan Zhang, Ziye Jia, Chao Dong +3

Recently, unmanned aerial vehicles (UAVs) are gathering increasing attentions from both the academia and industry. The ever-growing number of UAV brings challenges for air traffic…

cs.DC2022★ 97 cited

A Survey on Collaborative DNN Inference for Edge Intelligence

Weiqing Ren, Yuben Qu, Chao Dong +4

With the vigorous development of artificial intelligence (AI), the intelligent applications based on deep neural network (DNN) change people's lifestyles and the production efficie…