← Team
PhD Researcher

Yuhui Wang

UAV networks and reinforcement learning

Anticipated graduation: Expected 2026

LinkedIn ↗ Google Scholar ↗

Yuhui Wang is a Ph.D. researcher and Rackham Predoctoral Fellow working on UAV communication networks. His research applies deep reinforcement learning to UAV placement, integrated access and backhaul, multi-UAV mobile edge computing, and UAV-assisted LEO satellite edge systems for resilient coverage and connectivity.

In the news

Sep 2026

Our paper "Collaborative Cloud-Edge Computing via LLM-Guided Constrained Reinforcement Learning" was accepted in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2026), Singapore. Congratulations Xingqi and Yuhui!

Jul 2026

Our paper "Dependency-Aware Task Offloading via Quantum Graph Attention Network-based Deep Reinforcement Learning in Collaborative Edge-Cloud Systems" was accepted in International Conference on Computer Communications and Networks (ICCCN 2026). Congratulations Xingqi and Yuhui!

May 2026

Ph.D. researcher Yuhui Wang joins Nokia Bell Labs as a Generative AI Intern for Summer 2026.

May 2026

Yuhui Wang attended the ceremony recognizing Rackham Predoctoral Fellows in Ann Arbor.

Apr 2026

Yuhui Wang received his Rackham Predoctoral Fellowship certificate from Rackham Dean Dewey Jung, recognizing his research on aerial communication systems.

Apr 2026

Yuhui Wang and Xingqi Wu received pins at the CECS Doctoral Pinning and Recognition Ceremony, celebrating their advancement to candidacy.

Apr 2026

Lab members presented their research posters at the CECS Research Poster Competition.

Apr 2026

Our paper "Process-Informed Multi-Agent Reinforcement Learning for Joint Radio-Compute Orchestration in Industrial O-RAN" was accepted in IEEE Networking Letters. Congratulations to Xingqi and Yuhui!

Feb 2026

Our paper "PROMPTGUARD: Zero Trust Prompting for Securing LLM-Driven O-RAN Control" was accepted in Proc. NDSS 2026 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA. Congratulations Xingqi and Yuhui!

Feb 2026

Our paper "Dynamic Multi-Modal UAV Control for Optimized Coverage and Backhaul Connectivity in Spatially Unstructured and Dispersed User Environments" was accepted in IEEE Transactions on Mobile Computing. Congratulations Yuhui!

Dec 2025

Our paper "SliceWise: Traffic-Aware Multi-Agent RL with Temporal Encoding for Joint Slice Admission and Resource Orchestration in O-RAN" was accepted in IEEE Networking Letters. Congratulations Xingqi and Yuhui!

Oct 2025

Our paper "Joint Positioning and Computation Offloading in Multi-UAV MEC for Low Latency Applications: A Proximal Policy Optimization Approach" was accepted in IEEE Transactions on Mobile Computing. Congratulations Yuhui!

Aug 2025

Our paper "Real-time multiple obstacle avoidance and navigation in unstructured spaces with applications to indoor delivery robots" was accepted in IEEE COINS 2025, Madison WI, USA. Congratulations Yuhui!

Jun 2025

Presented two papers from the group at IEEE ICC 2025 in Montreal, on URLLC admission control in O-RAN and UAV-assisted LEO satellite edge computing, with Xingqi Wu and Yuhui Wang.

Jun 2025

Our paper "Coordinated UAV Deployment and Task Offloading in UAV-Assisted LEO Satellite Edge Computing Systems via Proximal Policy Optimization" was accepted in IEEE ICC 2025 Workshop on Emerging Technologies in Aerial and Space Networks, Montreal, Canada. Congratulations Xingqi and Yuhui!

May 2025

Our paper "LLM-Driven Agentic AI Approach to Enhanced O-RAN Resilience in Next-Generation Networks" was accepted in IEEE INFOCOM 2025 Workshop on Resilience in Next-Generation Networks (NGResNet), London, UK. Congratulations Xingqi and Yuhui!

Mar 2025

Presented two papers from the group at IEEE WCNC 2025 in Milan, on multi-UAV placement with LLM-driven optimization and computation offloading in multi-UAV MEC networks, with Yuhui Wang.

Mar 2025

Our paper "Joint Optimization of Positioning and Computation Offloading in Multi-UAV MEC Networks for Low Latency Applications" was accepted in IEEE WCNC 2025, Milan, Italy. Congratulations Yuhui!

Mar 2025

Our paper "Multi-UAV Placement for Integrated Access and Backhauling Using LLM-Based Optimizers" was accepted in IEEE WCNC 2025, Milan, Italy. Congratulations Yuhui!

Feb 2025

Presented LLM-xApp, a large language model framework for adaptive radio resource management in O-RAN, at the NDSS 2025 FutureG Workshop in San Diego, with Xingqi Wu and Yuhui Wang.

Feb 2025

Our paper "LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp for 5G O-RAN" was accepted in Proc. NDSS 2025 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA. Congratulations Xingqi and Yuhui!

Journal articles

  1. 2026
    Dynamic Multi-Modal UAV Control for Optimized Coverage and Backhaul Connectivity in Spatially Unstructured and Dispersed User Environments
    Y. Wang, J. Farooq, and J. Chen
    in IEEE Transactions on Mobile Computing, vol. 25, no. 2, pp. 2320-2334
  2. 2026
    Process-Informed Multi-Agent Reinforcement Learning for Joint Radio-Compute Orchestration in Industrial O-RAN
    X. Wu, Y. Wang, J. Farooq, M. M. Butt, H. Ghazzai, and G. Setti
    in IEEE Networking Letters
  3. 2025
    Joint Positioning and Computation Offloading in Multi-UAV MEC for Low Latency Applications: A Proximal Policy Optimization Approach
    Y. Wang, J. Farooq, H. Ghazzai, and G. Setti
    in IEEE Transactions on Mobile Computing, vol. 24, no. 10, pp. 9584-9598
  4. 2025
    ORCA: Offloading and Resource Coordination via Multi-agent Learning in Dynamic Cloud-Edge Systems
    Y. Wang, X. Wu, J. Farooq, T. Li, and J. Chen
    submitted to IEEE Transactions on Mobile Computing
  5. 2025
    SliceWise: Traffic-Aware Multi-Agent RL with Temporal Encoding for Joint Slice Admission and Resource Orchestration in O-RAN
    X. Wu, Y. Wang, J. Farooq, H. Ghazzai, and G. Setti
    in IEEE Networking Letters, vol. 7, no. 4, pp. 323-327
  6. 2024
    Deep Reinforcement Learning Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks
    Y. Wang and J. Farooq
    in IEEE Internet of Things Journal, vol. 11, no. 8, pp. 14727-14738

Conference papers

  1. 2026
    Dependency-Aware Task Offloading via Quantum Graph Attention Network-based Deep Reinforcement Learning in Collaborative Edge-Cloud Systems
    Y. Wang, X. Wu, J. Farooq, S. Y. Chen, and J. Chen
    in International Conference on Computer Communications and Networks (ICCCN 2026)
  2. 2026
    Collaborative Cloud-Edge Computing via LLM-Guided Constrained Reinforcement Learning
    Y. Wang, X. Wu, J. Farooq, T. Li, and J. Chen
    in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2026), Singapore
  3. 2026
    PROMPTGUARD: Zero Trust Prompting for Securing LLM-Driven O-RAN Control
    Y. Wang, X. Wu, J. Farooq, and J. Chen
    in Proc. NDSS 2026 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA
  4. 2025
    Coordinated UAV Deployment and Task Offloading in UAV-Assisted LEO Satellite Edge Computing Systems via Proximal Policy Optimization
    Y. Wang, X. Wu, J. Farooq, and J. Chen
    in IEEE ICC 2025 Workshop on Emerging Technologies in Aerial and Space Networks, Montreal, Canada
  5. 2025
    Joint Optimization of Positioning and Computation Offloading in Multi-UAV MEC Networks for Low Latency Applications
    Y. Wang, J. Farooq, H. Ghazzai, and G. Setti
    in IEEE WCNC 2025, Milan, Italy
  6. 2025
    LLM-Driven Agentic AI Approach to Enhanced O-RAN Resilience in Next-Generation Networks
    X. Wu, Y. Wang, J. Farooq, and J. Chen
    in IEEE INFOCOM 2025 Workshop on Resilience in Next-Generation Networks (NGResNet), London, UK
  7. 2025
    LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp for 5G O-RAN
    X. Wu, J. Farooq, Y. Wang, and J. Chen
    in Proc. NDSS 2025 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA
  8. 2025
    Multi-UAV Placement for Integrated Access and Backhauling Using LLM-Based Optimizers
    Y. Wang, J. Farooq, H. Ghazzai, and G. Setti
    in IEEE WCNC 2025, Milan, Italy
  9. 2025
    Real-time multiple obstacle avoidance and navigation in unstructured spaces with applications to indoor delivery robots
    Y. Wang, U. Pillai, J. Farooq, and J. Chen
    in IEEE COINS 2025, Madison WI, USA
  10. 2023
    Optimal 3D Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks Using Reinforcement Learning
    Y. Wang and J. Farooq
    in IEEE MASS Workshop on Unmanned Autonomous Vehicles and IoT (UAV-IoT 2023), Toronto, Canada
  11. 2022
    Proactive and Resilient UAV Orchestration for QoS Driven Connectivity and Coverage of Ground Users
    Y. Wang and J. Farooq
    in IEEE CNS Cyber Resilience Workshop (CNS 2022), Austin TX
  12. 2022
    Resilient UAV Formation for Coverage and Connectivity of Spatially Dispersed Users
    Y. Wang and J. Farooq
    in IEEE ICC 2022, Seoul, South Korea
  13. 2022
    Zero Touch Coordinated UAV Network Formation for 360 Degree Views of a Moving Ground Target in Remote VR Applications
    Y. Wang and J. Farooq
    in IEEE MILCOM 2022, Rockville MD