Korea University
AI and Mobility (AIM) Laboratory

Introduction to the Lab

Korea University, AI and Mobility (AIM) Laboratory is now conducting the research and development (R&D) in following fields,
  - Autonomous Mobility: Multi-Agent Reinforcement Learning for UAV, UAM, AUV, and Satellite Networks
  - Quantum Machine Learning: Quantum Reinforcement Learning, Quantum Federated Learning, Software Engineering for Quantum Machine Learning
  - Networks: Lyapunov Optimization Theory and Applications

Publication Highlights [Magazines, Top-Journals, Top-Conferences]

1. Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications
   IEEE Transactions on Mobile Computing (2025)

2. AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming
   IEEE IPDPS (2025)

3. Joint Multi-Agent Reinforcement Learning and Message-Passing for Distributed Multi-UAV Network Management using Conflict Graphs
   IEEE/IFIP NOMS (2025)

4. The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces
   IEEE Communications Magazine (2024)

5. Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks
   IEEE Communications Magazine (2024)

6. Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
   IEEE Communications Magazine (2024)

7. Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems
   IEEE/ACM Transactions on Networking (2024)

8. Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse
   IEEE Transactions on Mobile Computing (2024)

9. Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective
   IEEE Transactions on Mobile Computing (2024)

10. Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA with Imperfect SIC
    IEEE Transactions on Wireless Communications (2024)

11. Hands-On Introduction to Quantum Machine Learning
    ACM CIKM (2024)

12. Advanced Taxiing Path Guidance using Multi-Agent Reinforcement Learning for Air Traffic Management
    IEEE/IFIP WiOpt (2024)

13. EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving
    IEEE Internet Computing (2023)

14. SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
    IEEE/ACM Transactions on Networking (2023)

15. Quantum Split Learning for Privacy-Preserving Information Management
    ACM CIKM (2023)

16. Logarithmic Dimension Reduction for Quantum Neural Networks
    ACM CIKM (2023)

17. Quantum Multi-Agent Meta Reinforcement Learning
    AAAI (2023)

18. Supremo: Cloud-Assisted Low-Latency Super-Resolution in Mobile Devices
    IEEE Transactions on Mobile Computing (2022)

19. Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly
    ACM CIKM (2022)

20. Cooperative Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution
    IEEE/IFIP WiOpt (2022)

21. Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
    IEEE INFOCOM (2022)

22. Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
    Proceedings of the IEEE (2021)

23. A Personalized Preference Learning Framework for Caching in Mobile Networks
    IEEE Transactions on Mobile Computing (2021)

24. Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands
    IEEE Transactions on Wireless Communications (2021)

25. Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks
    IEEE Transactions on Wireless Communications (2020)

26. Understanding the Potential Risks of Sharing Elevation Information on Fitness Applications
    IEEE ICDCS (2020)

27. New Challenges of Wireless Power Transfer and Secured Billing for Internet of Electric Vehicles
    IEEE Communications Magazine (2019)

28. Seamless Dynamic Adaptive Streaming in LTE/Wi-Fi Integrated Network under Smartphone Resource Constraints
    IEEE Transactions on Mobile Computing (2019)

29. Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks
    IEEE Transactions on Wireless Communications (2019)

30. Dynamic Power Allocation and User Scheduling for Power-Efficient and Delay-Constrained Multiple Access Networks
    IEEE Transactions on Wireless Communications (2019)

31. Randomized Adversarial Imitation Learning for Autonomous Driving
    IJCAI (2019)

32. SGCO: Stabilized Green Crosshaul Orchestration for Dense IoT Offloading Services
    IEEE Journal on Selected Areas in Communications (2018)

33. Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements
    IEEE Journal on Selected Areas in Communications (2018)

34. ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture
    IEEE ICDCS (2018)

35. The Useful Impact of Carrier Aggregation: A Measurement Study in South Korea for Commercial LTE-Advanced Networks
    IEEE Vehicular Technology Magazine (2017)

36. REQUEST: Seamless Dynamic Adaptive Streaming over HTTP for Multi-Homed Smartphone under Resource Constraints
    ACM Multimedia (2017)

37. Quality-Aware Streaming and Scheduling for Device-to-Device Video Delivery
    IEEE/ACM Transactions on Networking (2016)

38. Energy-Efficient Rate-Adaptive GPS-based Positioning for Smartphones
    ACM MobiSys (2010)