Publications

Research areas and publications.

Research Areas

  • AI/ML for High-Speed Softwarized Networks (2022–Present): Non-intrusive performance intelligence and drift-resilient MLOps for NFV data planes.
  • Large-Scale Modeling for NGMA Networks (2024–2026): Stochastic modeling of uplink RSMA, NOMA, and OMA with discrete rate adaptation.
  • Spatio-Temporal Modeling and Learning for Dynamic Networks (2022–Present): Stochastic geometry, queueing theory, and reinforcement learning for network stability.

Selected Publications

  • X. Guo, L. You, Q. Liu, X. Gao, and X.-G. Xia, “Uplink RSMA Performance Analysis with Rate Adaptation: A Stochastic Geometry Approach,” IEEE Transactions on Wireless Communications, 2026.
  • Q. Liu, T. Zhang, W. Cerroni, and L. Linguaglossa, “Proactive VNF Redeployment and Traffic Routing for Modern Telco Networks,” IEEE NetSoft, 2024. Best Paper Runner-up Award.
  • Q. Liu, T. Zhang, and L. Linguaglossa, “Non-Invasive Performance Prediction of High-Speed Softwarized Network Services with Limited Knowledge,” IEEE INFOCOM, 2024. Acceptance rate: 18%.
  • Q. Liu, T. Zhang, M. Hemmatpour, et al., “Operationalizing AI/ML in Future Networks: A Bird’s Eye View from the System Perspective,” IEEE Communications Magazine, 2025. Impact Factor: 11.2.

Preprints / Submitted

[P3] J. Lin, Q. Liu, and C. Zheng, “AiCS: Branch-Aware Evidence Admission for LLM-Assisted Network Incident Analysis,” submitted to ACM CoNEXT 2026.

[P2] Q. Liu, J. Lin, T. Zhang, and L. Linguaglossa, “DRST: A Non-Intrusive Framework for Performance Analysis in Softwarized Networks,” arXiv:2506.17658, 2025.

Journals

[J3] X. Guo, L. You, Q. Liu, X. Gao, and X.-G. Xia, “Uplink RSMA Performance Analysis with Rate Adaptation: A Stochastic Geometry Approach,” IEEE Transactions on Wireless Communications, 2026.

[J2] C. Zheng, K. Zhang, W. Zhang, Q. Liu, and A. A. Tesfay, “Fast Collaborative Inference via Distributed Speculative Decoding,” Journal of Information and Intelligence, 2026.

[J1] Q. Liu, T. Zhang, M. Hemmatpour, H. Qiu, D. Zhang, C. S. Chen, M. Mellia, and A. Aghasaryan, “Operationalizing AI/ML in Future Networks: A Bird’s Eye View from the System Perspective,” IEEE Communications Magazine, 2025. Impact Factor: 11.2.

Conferences

[C10] Q. Liu and C. S. Chen, “Queue-Aware RL Scheduling with Stability Bounds in Large-Scale Cellular Networks,” IEEE Wireless Communications and Networking Conference (WCNC), 2026.

[C9] X. Guo, Q. Liu, S. Wang, and L. You, “Stochastic Geometry-Based MCS Adaption Analysis for Uplink Cellular Networks,” IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6, 2025.

[C8] Q. Liu, T. Zhang, W. Cerroni, and L. Linguaglossa, “Proactive VNF Redeployment and Traffic Routing for Modern Telco Networks,” IEEE International Conference on Network Softwarization (NetSoft), pp. 91–99, 2024. Best Paper Runner-up Award.

[C7] Q. Liu, T. Zhang, and L. Linguaglossa, “Non-Invasive Performance Prediction of High-Speed Softwarized Network Services with Limited Knowledge,” IEEE INFOCOM, pp. 2328–2337, 2024. Acceptance rate: 18%.

[C6] C. Wang and Q. Liu, “Load Balancing Game in Loss Communication Networks,” 2023.

[C5] Q. Liu, C. Wang, and C. Zheng, “Distributed Decisions on Optimal Load Balancing in Loss Networks,” IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pp. 464–471, 2023. Acceptance rate: 27%.

[C4] Q. Liu, J.-Y. Baudais, and P. Mary, “The ε-Stable Region Analysis in Dynamic Downlink Cellular Networks,” IEEE Vehicular Technology Conference (VTC-Spring), pp. 1–6, 2022.

[C3] Q. Liu, P. Mary, and J.-Y. Baudais, “Politiques de transmission basées sur l’apprentissage par renforcement dans les réseaux cellulaires dynamiques et aléatoires,” Colloque GRETSI, pp. 877–880, 2022.

[C2] Q. Liu, J.-Y. Baudais, and P. Mary, “Queue Analysis with Finite Buffer by Stochastic Geometry in Downlink Cellular Networks,” IEEE Vehicular Technology Conference (VTC-Spring), pp. 1–5, 2021.

[C1] Q. Liu, J.-Y. Baudais, and P. Mary, “A Tractable Coverage Analysis in Dynamic Downlink Cellular Networks,” IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1–5, 2020.

Thesis

[T1] Q. Liu, “Performance Analysis of Dynamic Downlink Cellular Networks,” Ph.D. dissertation, INSA Rennes, 2022. Manuscript