| 2025 | CNSM | Adaptive Control Policies for Core Network Autoscaling with Meta-RL. | Shantanu Verma, Abhishek Gupta, Jatinder Singh, Jos Manuel Snchez-Vlchez, Guillaume Fraysse |
| 2024 | CNSM | Safe RL for Core Network autoscaling. | Xinqi Long, Guillaume Fraysse |
| 2024 | CNSM | Functional Linear Regression for the prediction of streaming video QoE. | Jean Steve Tamo Tchomgui, Vincent Barriac, Guillaume Fraysse, Julien Jacques, Stphane Chrtien |
| 2024 | CNSM | Generating Commit Messages for Configuration Files in 5G Network Deployment Using LLMs. | Beining Yang, Alassane Samba, Guillaume Fraysse, Sihem Cherrared |
| 2024 | NOMS | Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning. | Aristide Tanyi-Jong Akem, Guillaume Fraysse, Marco Fiore |
| 2023 | NOMS | Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions. | Yoichi Matsuo, Jatinder Singh, Shantanu Verma, Guillaume Fraysse |
| 2023 | NOMS | Autoscaling Packet Core Network Functions with Deep Reinforcement Learning. | Jatinder Singh, Shantanu Verma, Yoichi Matsuo, Francesca Fossati, Guillaume Fraysse |
| 2020 | DAIS | A Resource Usage Efficient Distributed Allocation Algorithm for 5G Service Function Chains. | Guillaume Fraysse, Jonathan Lejeune, Julien Sopena, Pierre Sens |
| 2018 | CNSM | Mapping the allocation of resources for 5G slices to the k-MUTEX with n instances of m resources problem. | Guillaume Fraysse, Jonathan Lejeune, Julien Sopena, Pierre Sens |
| 2018 | ICIN | Towards multi-SDN services: Dangers of concurrent resource allocation from multiple providers. | Guillaume Fraysse, Imen Grida Ben Yahia, Jonathan Lejeune, Pierre Sens, Julien Sopena |