International Journals

International Journals

(Accepted)

1. S. Park, C. Park, S. Jung*, and J. Kim*, "Adaptive Quantum Federated Learning for Autonomous Surveillance Multi-Drone Networks," IEEE Transactions on Intelligent Vehicles, (Accepted).

2. S. Park, S. B. Son, S. Jung*, and J. Kim*, "Dynamic Quantum Federated Learning for UAV-based Autonomous Surveillance," IEEE Transactions on Vehicular Technology, (Accepted).

3. S. Jung, H. Baek, and J. Kim*, "Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks," IEEE Transactions on Intelligent Vehicles (Accepted). [ACK: No. 2021-0-00794]

(2024)

4. S. Park, J. Chang, C. Park, S. Jung*, M Choi,*  S. Cho*, and J. Kim, "Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse," IEEE Transactions on Mobile Computing, vol. 32, no. 12 pp.12410-12427, December 2024.

5. S. Park, G. S. Kim, S. Jung*, and J. Kim*, "Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks," IEEE Internet of Things Journal, vol. 11, no. 23,  pp.ppp-ppp, December 2024.

6. J. Kim, U. Jo, T. Kim*, J. Kim*, and S. Jung*, "Sensing-to-Sky Intermittent Connectivity Realization for LTE-Enabled Drone Platforms: Embedded Design, Measurement Study, and Positioning Applications," IEEE Access, vol. 12, pp.137360-137372, September 2024. [ACK: RS-2024-00358662]  

7. J. Kim, S. Park*, S. Jung,* and C. Cordeiro, "Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach," IEEE Transactions on Network and Service Management, vol. 21, no. 4, pp. 3797-3812, August 2024. [ACK: No. 2021-0-00794]

8. K. Cho, J. Kim*, S. Jung*, "Enhancing Cost-Effective 5G Virtualized RAN Pooling Gain on Clouds: An Intelligent Auto-Scaling Approach," IEEE Access, vol. 12, pp. 111322-111333 August 2024. [ACK: RS-2024-00358662]

9. S. Park, C. Park, S. Jung*, M. Choi*, and J. Kim*, "Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles," IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 10681-10696, July 2024.

10. J. Y. Shim, S. Jung*, J. Kim*, and J.-K. Kim*. "Stabilized Performance Maximization for GAN-based Real-Time Authentication Image Generation over Internet," Multimedia Tools and Applications, vol. 83, no. 22, pp. 62045-62059, July 2024.

11. S. Park, J. P. Kim, C. Park, S. Jung*, and J. Kim*, "Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation," IEEE Communications Magazine,  vol. 62, no. 6, pp. 106-112, June 2024.

12. S. Park, S. Jung*, and J. Kim*, "Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems using Slimmable Quantum Neural Networks," IEEE Access, vol. 12, pp. 58239-28247, April 2024. [ACK: No. 2021-0-00847]

13. W. Lee, T. Kim, J.K. Kim, S. Jung*, and  J.-H. Kim*, "Group Contention-based Full-Duplex Unmanned Aerial Vehicle Relay System," ICT Express, vol. 10, no. 1, pp. 65-70, February 2024. 

(2023)

14. W.J. Yun, Y. Kwak, H. Baek, S. Jung*, M. Ji, M. Bennis, J. Park*, and J. Kim*, "SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks," IEEE/ACM Transactions on Networking, vol. 31, no. 6, pp. 2499-2514, December 2023.

15. S. Park, S.B. Son, Y.K. Lee*, S Jung*, and  J. Kim*, "Two-Stage Architectural Fine-tuning for Neural Architecture Search in Efficient Transfer Learning," IET Electronics Letters, vol. 59, no. 24, e13066, November 2023.

16. C. Park, W. J. Yun, J. P. Kim, T. K. Rodrigues, S. Park*, S. Jung*, J. Kim, "Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems," IEEE Internet of Things Journal, vol. 10, no. 22, pp. 20033-20048, November 2023.

17. S. Jung, C. Park, M. Levorato, J.-H. Kim*, and  J. Kim*,  "Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks," IEEE Transactions on Vehicular Technology, vol. 72, no. 11, pp. 14889-14905, November 2023.

18. S. Park, H. Lee, C. Park, S. Jung*, M. Choi*, and  J. Kim*,  "Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes," ETRI Journal, vol. 45, no. 5, pp. 735-745, October 2023.

19. S. Park, H. Feng, C. Park, Y. K. Lee*, S. Jung*, and J. Kim*, "EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving," IEEE Internet Computing, vol. 27, no. 5, pp. 24-31, September-October 2023.

20. H. Baek, R. Lee,  S. Jung*, J. Kim*, and S. Park*, "Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework," IEEE Open Journal of the Computer Society, vol. 4, pp. 243-252, September 2023.

21. C. Park, G.S. Kim, S. Park*, S. Jung*, and J. Kim*, "Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility," IEEE Transactions on Intelligent Vehicles, vol. 8, no. 8, pp. 4016-4030, August 2023.

22. T. Kim, J. Kim, W. Lee, S. Jung*, and J.-H. Kim*, "Energy-efficient Full-duplex MAC Protocol Design for Air-Terrestrial Communication," Journal of Communications and Networks, vol. 25, no. 3, pp. 333-343, June 2023.

23. W.J. Yun, J. P. Kim, S. Jung*, J.-H. Kim*, and J. Kim*, "Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management," IEEE Internet of Things Journal, vol. 10, no. 11, pp. 9942-9952, June 2023.

24. Y. Kwak, W.J. Yun, J.P. Kim, H. Cho, J. Park*, M. Choi*, S. Jung*, and J. Kim*, "Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications," ICT Express, vol. 9, no. 3, pp. 486-491, June 2023.

25. S. Jung, J.-H. Kim*, D. Mohaisen, and J. Kim*, "Truthful and Performance-Optimal Computation Outsourcing for Aerial Surveillance Platforms via Learning-based Auction," Computer Networks, vol. 225, pp. 109651, April 2023. [ACK: No. 2021-0-00794]

26. W.J. Yun, M. Shin, S. Jung*, J. Ko*, H.-C. Lee*, and J. Kim*, "Deep Reinforcement Learning-based Propofol Infusion Control for Anesthesia: A Feasibility Study with a 3000-Subject Dataset," Computers in Biology and Medicine, vol. 156, pp. 106739, April 2023.

27. S. Park, C. Park, S. Jung*, J.-H. Kim*, and J. Kim*, "Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks," IEEE Access, vol. 11, pp. 16533-16548, February 2023. 

(2022)

28. H. Lee, S. Kwon, S. Jung*, and J. Kim*, "Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery," IEEE/KICS Journal of Communications and Networks, vol. 24, no.6, pp. 710-721, December 2022. [ACK: No. 2021-0-00794 (50%)]

29. W.J. Yun, M. Shin, S. Jung*, S. Kwon, and J. Kim*, "Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles," IEEE/KICS Journal of Communications and Networks, vol. 24, no.6, pp. 730-741, December 2022.

30. W. J. Yun, S. Park, J. Kim*, M. Shin, S. Jung*, D. Mohaisen, and J.-H. Kim*, "Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control," IEEE Transactions on Industrial Informatics, vol. 18, no.10, pp. 7086-7096, October 2022.

31. S. Jung, M.-S. Lee, J. Kim, M.-Y. Yun, J. Kim*, and J.-H. Kim*, "Trustworthy Handover in LEO Satellite Mobile Networks," ICT Express, vol. 8, no. 3, pp. 432-437, September 2022.

32. S. Jung, M. Levorato, and J. Kim*, "Dynamic Resource Scheduling for Real-Time Group Broadcasting in 6G Cellular Vehicular Networks," ITU Journal on Future and Evolving Technologies, vol. 3, no. 2, pp. 83-90, July 2022.

33. K. Kim, J.-H. Lee, S. Jung*, J. Kim*, and J.-H. Kim*, "Stabilized Detection Accuracy Maximization using Adaptive SAR Image Processing in LEO Networks," IEEE Transactions on Vehicular Technology, vol. 71, no. 5, pp. 5661-5665, May 2022.

34. Y. J. Ha, G. Lee, M. Yoo, S. Jung*, S. Yoo*, and J. Kim*, "Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset," Nature Scientific Reports, vol. 12, pp. 1534, January 2022.

(2021)

35. S. Jung and J. Kim*, "Adaptive and Stabilized Real-Time Super-Resolution Control for UAV-Assisted Smart Harbor Surveillance Platforms," Journal of Real-Time Image Processing, vol. 18, no. 5, pp. 1815-1825, October 2021.

36. S. Jung, J. Kim, and J.-H. Kim*, "Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks," IEEE Systems Journal, vol. 15, no. 3, pp. 4293-4302, September 2021.

37. Y. J. Ha, M. Yoo, G. Lee, S. Jung*,  S. W. Choi, J. Kim*, and S. Yoo*, "Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data," IEEE Access, vol. 9, pp. 121046-121059, September 2021.

38. S. Jung, J. Kim*, M. Levorato, C. Cordeiro, and J.-H. Kim*, "Infrastructure-Assisted On-Driving Experience Sharing for Millimeter-Wave Connected Vehicles," IEEE Transactions on Vehicular Technology, vol. 70, no. 8, pp. 7307-7321, August 2021.

39. G. Lee, W.J. Yun, Y.J. Ha, S. Jung*, J. Kim, S. Hong,  J. Kim, and Y.K. Lee*, "Measurement Study of Real-Time Virtual Reality Contents Streaming over IEEE 802.11ac Wireless Links," Electronics, vol. 10, no. 16, pp. 1967, August 2021.

40. S. Jung, W. J. Yun, M. Shin, J. Kim*, and J.-H. Kim*, "Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems," IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 5362-5377, June 2021.

41. H. Lee, S. Jung*, and J. Kim, "Truthful Electric Vehicle Charging via Neural-Architectural Myerson Auction," ICT Express, vol. 7, no. 2, pp. 196-199, June 2021. 

42. K. Kim, S. Jung, and J.-H. Kim*, "Adaptive Speckle Filtering for Real-time Computing in Low Earth Orbit Satellite Synthetic Aperture Radar,"  ICT Express, vol. 7, no. 2, pp.187-190, June 2021.

43. D. Kim, S. Park, J. Kim, J. y. Bang, and S. Jung*, "Stabilized Adaptive Sampling Control for Reliable Real-Time Learning-based Surveillance Systems," IEEE/KICS Journal of Communications and Networks, vol. 23, no. 2, pp. 128-136, April 2021.

44. W. J. Yun, S. Jung, J. Kim*, and J.-H. Kim*, "Distributed Deep Reinforcement Learning for Autonomous Aerial eVTOL Mobility in Drone Taxi Applications," ICT Express, vol. 7, no. 1, pp. 1-4, March 2021.

45. S. Jung, W. J. Yun, J. Kim*, and J.-H. Kim*, "Coordinated Multi-Agent Deep Reinforcement Learning for Energy-Aware UAV-based Big-Data Platforms," Electronics, vol. 10, no. 5, pp. 543, February 2021.

46. S, Park, S. Jung, H. Lee, J. Kim*, and J.-H. Kim*, "Large-Scale Water Quality Prediction using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data," Sensors, vol. 21, no. 4, pp. 1462, February 2021.

(~2020)

47. S. Jung, J. Kim, and J.-H. Kim*, "Joint Message-Passing and Convex Optimization Framework for Energy-Efficient Surveillance UAV Scheduling," Electronics, vol. 9, no. 9,  pp. 1475, September 2020.

48. S. Jung, S. -H. Lee, and J.-H. Kim*, "Reliability Control Framework for Random Access of Massive IoT Devices," IEEE Access, vol. 7, pp. 49928-49937, April 2019.

49. S.-H. Lee, S. Jung, and J.-H. Kim*, "Dynamic Resource Allocation of the Random Access for MTC Devices," ETRI Journal, vol. 39, no. 4, pp.546-557, August 2017.