A Resource Management Model for Real-time Edge System of Multiple Robots. - Zheyuan Hu 001; Jianwei Niu 002; Tao Ren 001; Huiyong Li 005; Ye Rui; Yuan Qiu 006; Liang Bai (CSCloud/EdgeCom, 2020)

Multi-agent Computation Offloading in UAV Assisted MEC via Deep Reinforcement Learning. - Hang He; Tao Ren 001; Yuan Qiu 006; Zheyuan Hu 001; Yanqi Li (SmartCom, 2021)

Computation Offloading and Resource Allocation Based on Multi-agent Federated Learning. - Yiming Yao; Tao Ren 001; Yuan Qiu 006; Zheyuan Hu 001; Yanqi Li (SmartCom, 2021)

Enhancing generalization of computation offloading policies in novel mobile edge computing environments by exploiting experience utility. - Tao Ren 001; Jianwei Niu 002; Yuan Qiu 006 (J. Syst. Archit., 2022)

Mobile Edge Computing in Space-Air-Ground Integrated Networks: Architectures, Key Technologies and Challenges. - Yuan Qiu 006; Jianwei Niu 002; Xinzhong Zhu; Kuntuo Zhu; Yiming Yao; Beibei Ren; Tao Ren 001 (J. Sens. Actuator Networks, 2022)

Joint Optimization of System Bandwidth and Transmitting Power in Space-Air-Ground Integrated Mobile Edge Computing. - Yuan Qiu 006; Jianwei Niu 002; Yiming Yao; Yuxuan Zhao; Tao Ren 001; Xinzhong Zhu; Kuntuo Zhu (ICA3PP (6), 2023)

Scalable Computation Offloading for Industrial IoTs via Distributed Deep Reinforcement Learning. - Bin Dai; Yuan Qiu 006; Weikun Feng (CSCWD, 2024)

FedBKT: Federated Learning with Model Heterogeneity via Bidirectional Knowledge Transfer with Mediator Model. - Qi Min; Hui Wang; Peng Jia; Yuan Qiu 006; Chunhua Gu; Weichao Ding (ICIC (10), 2025)