Yuru Zhang

Yuru Zhang

Publications

Journal Paper

  1. Y. Zhang, Q. Liu, H. Wang, D. Chen, and K. Han, “CrowdSourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing”, IEEE Transactions on Vehicle Technology (TVT), 2024
  2. Y. Zhang, C. Chen, L. Liu, D. Lan, H. Jiang and S. Wan, “Aerial Edge Computing on Orbit: A Task Offloading and Allocation Scheme”, IEEE Transactions on Network Science and Engineering (TNSE), Sep. 2022
  3. C. Chen, Y. Zhang, Z. Wang, S. Wan and Q. Pei, “Distributed computation offloading method based on deep reinforcement learning in ICV”, Elsevier Applied Soft Computing (ASC), vol. 103, pp. 107108, May 2021
  4. C. Chen, Y. Zhang, M. R. Khosravi, Q. Pei and S. Wan, “An Intelligent Platooning Algorithm for Sustainable Transportation Systems in Smart Cities”, IEEE Sensors Journal , vol. 21, no. 14, pp. 15437-15447, Aug. 2020

Conferences

  1. Y. Zhang, M. Zhao, Q. Liu, N. Choi, “oneTwin: Online Digital Network Twin via Neural Radio Radiance Field”, IEEE International Conference on Computer Communications (INFOCOM), 2026, Accepted
  2. M. Zhao, Y. Zhang, Q. Liu, A. Kak, N. Choi, “inRAN: Interpretable Online Bayesian Learning for Network Automation in Open Radio Access Networks”, IEEE International Conference on Computer Communications (INFOCOM), 2026, Accepted
  3. X. Li, Y. Zhang, Q. Liu, “Automatic Network Planning with Digital Radio Twin”, IEEE International Conference on Communications (ICC), May. 2026}
  4. M. Zhao, Y. Zhang, Q. Liu, A. Kak, N. Choi, “InSlicing: Interpretable Learning-Assisted Network Slice Configuration in Open Radio Access Networks”, IEEE International Conference on Computer Communications (INFOCOM) Workshops, 2025, arxiv
  5. M. Zhao, Y. Zhang, Q. Liu, A. Kak, N. Choi, “AdaSlicing: Adaptive Online Network Slicing under Continual Network Dynamics in Open Radio Access Networks”, IEEE International Conference on Computer Communications (INFOCOM), 2025
  6. Y. Zhang, M. Zhao, Q. Liu, N. Choi, “Learn to Augment Network Simulators Towards Digital Network Twins”, IEEE International Conference on Computer Communications (INFOCOM) Workshops, 2024, arxiv
  7. M. Zhao, Y. Zhang, Q. Liu, “LiFi: Learn to Incentivize Federated Learning in Automotive Edge Computing”, IEEE International Conference on Communications (Globecom), 2024, arxiv
  8. Y. Zhang, Y. Xue, Q. Liu, N. Choi, T. Han, “RoNet: Toward Robust Neural Assisted Mobile Network Configuration”, IEEE International Conference on Communications (ICC), 2023}
  9. Y. Xue, Y. Zhang, Q. Liu, D. Chen, K. Han, “CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing”, IEEE International Conference on Communications (ICC), 2023}
  10. Q. Liu, Y. Xue, Y. Zhang, D. Chen, K. Han, “AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge”, ACM/IEEE Symposium on Edge Computing (SEC), 2023}
  11. Q. Liu, Y. Zhang, H. Wang, “EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing”, IEEE International Conference on Communications (ICC), May. 2022}

Posters

  1. Y. Zhang, Y. Xue, Q. Liu, N. Choi, “Poster: Digital Network Twin via Learning-Based Simulator”, IEEE International Conference on Computer Communications (INFOCOM), 2023}