📄 Conference Papers

inRAN: Interpretable Online Bayesian Learning for Network Automation in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi
Accepted by IEEE INFOCOM, 2026PDF
oneTwin: Online Digital Network Twin via Neural Radio Radiance Field
Yuru Zhang, Ming Zhao, Qiang Liu, Nakjung Choi
Accepted by IEEE INFOCOM, 2026PDF
InSlicing: Interpretable Learning-Assisted Network Slice Configuration in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi
IEEE INFOCOM Workshop (NG-OPERA), 2025PDF
AdaSlicing: Adaptive Online Network Slicing under Continual Network Dynamics in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi
IEEE INFOCOM, 2025PDF
LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing
Ming Zhao, Yuru Zhang, Qiang Liu, Tao Han
IEEE GLOBECOM, 2024PDF
Learn to Augment Network Simulators Towards Digital Network Twins
Yuru Zhang, Ming Zhao, Qiang Liu, Nakjung Choi
IEEE INFOCOM Workshop (NG-OPERA), 2024PDF

📚 Journal Papers

Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks
Lei Liu, Ming Zhao, Miao Yu, Mian Ahmad Jan, Dapeng Lan, Amirhosein Taherkordi
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022PDF
Orbital Collaborative Learning in 6G Space-Air-Ground Integrated Networks
Ming Zhao, Chen Chen, Lei Liu, Dapeng Lan, Shaohua Wan
Neurocomputing, 2022PDF