activity
20232026
most citedDigital Twin-Empowered Task Assignment in Aerial MEC Network: A Resource Coalition Cooperation Approach with Generative Model

25 citations · 36 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Joint Task Offloading, Inference Optimization and UAV Trajectory Planning for Generative AI Empowered Intelligent Transportation Digital Twin

Xiaohuan Li, Junchuan Fan, Bingqi Zhang +3

To implement the intelligent transportation digital twin (ITDT), unmanned aerial vehicles (UAVs) are scheduled to process the sensing data from the roadside sensors. At this time,…

cs.NI2026

Agentic AI for Embodied-enhanced Beam Prediction in Low-Altitude Economy Networks

Min Hao, Zhizhuo Li, Zirui Zhang +3

Millimeter-wave or terahertz communications can meet demands of low-altitude economy networks for high-throughput sensing and real-time decision making. However, high-frequency cha…

cs.AI2024★ 11 cited

Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses

Yingkai Kang, Jinbo Wen, Jiawen Kang +5

The vehicular metaverse is envisioned as a blended immersive domain that promises to bring revolutionary changes to the automotive industry. As a core component of vehicular metave…

cs.NI2024★ 25 cited

Digital Twin-Empowered Task Assignment in Aerial MEC Network: A Resource Coalition Cooperation Approach with Generative Model

Xin Tang, Qian Chen, Rong Yu +1

To meet the demands for ubiquitous communication and temporary edge computing in 6G networks, aerial mobile edge computing (MEC) networks have been envisioned as a new paradigm. Ho…

cs.LG2023

Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices

Peichun Li, Hanwen Zhang, Yuan Wu +4

Distributed Artificial Intelligence (AI) model training over mobile edge networks encounters significant challenges due to the data and resource heterogeneity of edge devices. The…