Journals

• Mingjie Feng and Marwan Krunz, "Online learning for edge node program placement in mobile edge computing networks," IEEE/ACM Transactions on Networking, vol. 34, pp. 3123-3136, Jan. 2026, doi: 10.1109/TON.2026.3658535.

• Wenhan Zhang, Mingjie Feng, and Marwan Krunz, "Latency estimation and computational task offloading in vehicular mobile edge computing applications," IEEE Transactions on Vehicular Technology, vol. 73, issue 4, pp. 5808-5823, April 2024, doi: 10.1109/TVT.2023.3334192.

• Yong Xiao, Rong Xia, Yingyu Li, Guangming Shi, Diep N. Nguyen, Dinh Thai Hoang, Dusit Niyato, and Marwan Krunz, “Distributed traffic synthesis and classification in edge networks: Federated self- supervised learning approach,” IEEE Transactions on Mobile Computing (TMC), vol. 23, issue 2, pp. 1815-1829, Feb. 2024.

• Yong Xiao, Xiaohan Zhang, Yingyu Li, Guangming Shi, Marwan Krunz, Diep Nguyen, and Dinh Thai Hoang, “Time-sensitive learning for heterogeneous federated edge intelligence,” IEEE Transactions on Mobile Computing (TMC), vol. 23, issue 2, pp. 1382-1400, Feb. 2024.

• Mingjie Feng, Marwan Krunz, and Wenhan Zhang, “Joint task partitioning and user association for latency minimization in mobile edge computing networks,” IEEE Transactions on Vehicular Technology, vol. 70, no. 8, pp. 8108-8121, Aug. 2021.

• Yong Xiao and Marwan Krunz, “AdaptiveFog: A modeling and optimization framework for fog computing in intelligent transportation systems,” IEEE Transactions on Mobile Computing, vol. 21, no. 12, pp. 4187-4200, 1 Dec. 2022.

• Yong Xiao and Marwan Krunz, “Dynamic network slicing for scalable fog computing systems with energy harvesting,” IEEE Journal on Selected Areas in Communications – Special issue on Scalability Issues and Solutions for Software Defined Networks, vol. 36, issue 12, pages 2640--2654, Dec. 2018.

• Yong Xiao and Marwan Krunz, “Distributed optimization for energy-efficient fog computing in the tactile Internet,” IEEE Journal on Selected Areas in Communications – Special issue on Emerging Technologies in Tactile Internet and Backhaul/Fronthaul Networks, vol. 36, issue 11, pages 2390--2400, Nov. 2018.

Conferences

• Mingjie Feng and Marwan Krunz, “Program placement optimization for storage-constrained mobile edge computing systems: A multi-armed bandit approach,” Proc. of the 22nd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM ’21), June 2021.

• Mingjie Feng, Marwan Krunz, and Wenhan Zhang, “Task partitioning and user association for latency minimization in mobile edge computing networks,” Proc. of the IEEE International Workshop on Intelligent Cloud Computing and Networking (ICCN 2021) in conjunction with the IEEE INFOCOM 2021 Conference, May 2021.

• Wenhan Zhang, Mingjie Feng, Marwan Krunz, and Haris Volos, “Latency prediction for delay-sensitive V2X applications in mobile cloud/edge computing systems,”  Proc. of the IEEE GLOBECOM Conference, Taipei, Taiwan, December 2020.

• Yong Xiao, Marwan Krunz, Haris Volos, and Takashi Bando, “Driving in the fog: Latency measurement, modeling, and optimization of LTE-based fog computing for smart vehicles,” Proc. of the IEEE International Conference on Sensing, Communication, and Networking (SECON) Conference, Boston, MA, 2019, pp. 1-9.

• Yong Xiao and Marwan Krunz, "QoE and power efficiency tradeoff for fog computing networks with fog node cooperation," Proc. of the IEEE INFOCOM 2017 Conference, Atlanta, May 2017.