Qiong Liu
LIP6, Sorbonne Université. 4 Place Jussieu, 75005 Paris.
Maîtresse de conférences (Tenured Assistant Professor)
Sorbonne Université – LIP6
Paris, France
I am a Maîtresse de conférences (Tenured Assistant Professor) at Sorbonne Université, within the LIP6 laboratory (NPA team) in Paris, France.
My research follows two complementary directions. First, I develop stochastic-geometry and queueing models to characterize stability, delay, reliability, and rate performance in large-scale wireless networks. Second, I develop AI/ML methods for monitoring, diagnosis, and resource control in softwarized network infrastructures.
A central theme of my work is to connect these directions: using analytical models to understand and improve learning-enabled network control. Current applications include 5G/6G wireless networks, network slicing, and high-speed software data planes.
Previously, I was an Assistant Professor at CY Cergy Paris University and a Postdoctoral Researcher at Télécom Paris. I received my Ph.D. from INSA Rennes in 2022.
Research Interests
- AI for Networked Systems: MLOps, Performance Intelligence
- Softwarized Infrastructures: NFV/SDN Architectures, High-Speed Software Data Planes
- Stochastic Modeling: Stochastic Geometry, Queueing Theory
Education
- PostDoc. in Computer Science, Telecom Paris, Institution polytechnique de Paris, France, 2024.
- Ph.D. in Telecommunications, INSA Rennes, France, 2022.
- M.Sc. in Telecommunication, Xidian University, China.
- B.Sc. in Electronic Information, Shandong University, China.
News
| Aug 31, 2026 | We are looking for a motivated M1, M2, or ING3+ student for a 3-month internship at the intersection of stochastic geometry and multi-armed bandit algorithms. Interested candidates are welcome to contact me for more information and to apply. |
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| Aug 31, 2026 | 🎉 Our paper, “Uplink RSMA Performance Analysis with Rate Adaptation: A Stochastic Geometry Approach,” has been accepted for publication in IEEE Transactions on Wireless Communications and is now available in Early Access! This work provides a tractable stochastic geometry framework for rate adaptation in NGMA networks. The preprint is available on arXiv. |
| May 01, 2026 | We are looking for a motivated PhD candidate to work on Efficient Monitoring of Network Slices for 5G and Beyond Networks. Interested candidates are welcome to contact us for more information. |
| Mar 19, 2026 | We are looking for two motivated Master’s students for a 5-month internship on LLM and networks. You can find the detailed Internship Proposition (PDF) here. Applications are open until 27 March 2026. |
| Jan 14, 2026 | 🎉 Our paper “Queue-Aware RL Scheduling with Stability Bounds in Large-Scale Cellular Networks” has been accepted for publication at IEEE WCNC 2026! This work investigates adaptive transmission scheduling with theoretical stability guarantees. Stay tuned for the full paper! |