A Survey on Mobile Edge Computing for Deep Learning. - Pyeongjun Choi; Jeongho Kwak (ICOIN, 2023)

Dynamic Load Balancing for Energy-Delay Tradeoff in a Cloud-RSU-Vehicle Architecture. - Pyeongjun Choi; Pildo Yoon; Jeongho Kwak (ICTC, 2023)

Network-Compute Co-Optimization for Service Chaining in Cloud-Edge-Radio 5G Networks. - Yeongjin Kim; Pyeongjun Choi; Jeong-A Lim; Jeongho Kwak (IEEE Trans. Veh. Technol., 2023)

Joint Task Offloading and Resource Allocation for Integrated V2V and V2I Communication. - Pyeongjun Choi; Jeonghwan Kim; Jeongho Kwak (ICTC, 2024)

Impact of Joint Heat and Memory Constraints of Mobile Device in Edge-Assisted On-Device Artificial Intelligence. - Pyeongjun Choi; Jeongsoo Kim; Jeongho Kwak (NetAISys@MobiSys, 2024)

An Integrated Process-Network Load Balancing in Edge-Assisted Autonomous Vehicles Using Multimodal Applications With Shared Workloads. - Sinuk Choi; Pyeongjun Choi; Donghyeon Kim; Jeongho Kwak; Ji-Woong Choi (IEEE Access, 2024)

VisionScaling: Dynamic Deep Learning Model and Resource Scaling in Mobile Vision Applications. - Pyeongjun Choi; Dongho Ham; Yeongjin Kim; Jeongho Kwak (IEEE Internet Things J., 2024)