Publications

[CNSM] Debunking Reinforcement Learning for Bandwidth Estimation in Real-Time Communications: When a Simple Regressor Suffices. IEEE International Conference on Network and Service Management. 2025.

Tailai Song and Michela Meo

[ICDE] Advancing Cloud-Native Cyber Threat Detection with Graph-Based Feature Engineering. IEEE International Conference on Data Engineering. 2025.

Tailai Song, Mukharbek Organokov, Lennart Gulikers, Giulio Grassi, Giovanna Carofiglio, and Michela Meo

[CCNC] BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. IEEE Consumer Communications & Networking Conference. 2024.

Tailai Song, Gianluca Perna, Paolo Garza, Michela Meo, and Maurizio Matteo Munafò

[ISCC] Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes. IEEE Symposium on Computers and Communications. 2024.

Tailai Song, Paolo Garza, Michela Meo, and Maurizio Matteo Munafò

[ISM] Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. IEEE International Symposium on Multimedia. 2024.

Tailai Song, Paolo Garza, Michela Meo, and Maurizio Matteo Munafò

[LANMAN] Towards the Detection of Unobservable Losses in Real-Time Communications. IEEE International Symposium on Local and Metropolitan Area Networks. 2024.

Tailai Song, Paolo Garza, Michela Meo, and Maurizio Matteo Munafò

[WCNC] High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. IEEE Wireless Communications and Networking Conference. 2024.

Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, and Daniela Renga

[ICC] Where Did My Packet Go? Real-Time Prediction of Losses in Networks. IEEE International Conference on Communications. 2023.

Tailai Song, Dena Markudova, Gianluca Perna, and Michela Meo

[TON] One Is Enough: Efficient Modeling of RTP Traffic for QoS Predictions in Real-Time Communications. IEEE Transactions on Networking. 2026.

Tailai Song, Paolo Garza, Michela Meo, and Maurizio Matteo Munafò

[TNSM] Packet Loss in Real-Time Communications: Can ML Tame Its Unpredictable Nature? IEEE Transactions on Network and Service Management. 2025.

Tailai Song, Gianluca Perna, Paolo Garza, Michela Meo, and Maurizio Matteo Munafò

[COMNET] DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes. Computer Networks. 2024.

Tailai Song, Paolo Garza, Michela Meo, and Maurizio Matteo Munafò