Publications
Conferences
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Y. Zhang, M. Zhao, Q. Liu, A. Alkhateeb, AK. Agrawal, Q. Qu, “RadTwin: Generalizable Wireless Digital Twin for Dynamic Environments”, IEEE International Conference on Computer Communications and Networks (ICCCN), Honolulu, Hawaii, Jul. 2026, Best Paper Award
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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), Tokyo, Japan, May 2026
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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), Tokyo, Japan, May 2026
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X. Li, Y. Zhang, Q. Liu, “Automatic Network Planning with Digital Radio Twin”, IEEE International Conference on Communications (ICC), Glasgow, Scotland, UK, May 2026
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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) Workshop, London, UK, May 2025, arxiv
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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), London, UK, May 2025
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M. Zhao, Y. Zhang, Q. Liu, “LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing”, IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa, Dec. 2024, arxiv
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Y. Zhang, M. Zhao, Q. Liu, N. Choi, “Learn to Augment Network Simulators Towards Digital Network Twins”, IEEE International Conference on Computer Communications (INFOCOM) NG-OPERA Workshop, Vancouver, Canada, May 2024, arxiv
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Y. Zhang, Y. Xue, Q. Liu, N. Choi, T. Han, “RoNet: Toward Robust Neural Assisted Mobile Network Configuration”, IEEE International Conference on Communications (ICC), Rome, Italy, May 2023
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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), Rome, Italy, May 2023
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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), Wilmington, DE, Dec. 2023
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Q. Liu, Y. Zhang, H. Wang, “EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing”, IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022
Journal Paper
- 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
- 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
- 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
- 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
Posters
- Y. Zhang, Y. Xue, Q. Liu, N. Choi, “Poster: Digital Network Twin via Learning-Based Simulator”, IEEE International Conference on Computer Communications (INFOCOM), 2023