Tailai Song

Master of Science

• Machine learning for networking. A.A. 2024/25, CYBERSECURITY. Collaboratore del corso
• Machine learning for networking. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso

• Song, Tailai (2026)
  From Coarse Single Theoretical to Fine Multiple Practical: Machine Learning-Empowered Real-Time Communications. relatore: MEO, Michela; MELLIA, MARCO; , 38. XXXVIII Ciclo, P.: 156
  Doctoral Thesis
• Song, Tailai; Garza, Paolo; Meo, Michela; Matteo Munafo, Maurizio (2026)
  One Is Enough: Efficient Modeling of RTP Traffic for QoS Predictions in Real-Time Communications. In: IEEE TRANSACTIONS ON NETWORKING, vol. 34, pp. 2589-2604. ISSN 2998-4157
  Contributo su Rivista
• Song, Tailai; Organokov, Mukharbek; Gulikers, Lennart; Grassi, Giulio; Carofiglio, ... (2025)
  Advancing Cloud-Native Cyber Threat Detection with Graph-Based Feature Engineering. In: IEEE International Conference on Data Engineering, Hong Kong (Chi), 19-23 May 2025, pp. 4291-4297. ISBN: 979-8-3315-3603-9
  Contributo in Atti di Convegno (Proceeding)
• Song, Tailai; Meo, Michela (2025)
  Debunking Reinforcement Learning for Bandwidth Estimation in Real-Time Communications: When a Simple Regressor Suffices. In: 2025 21st International Conference on Network and Service Management (CNSM), Bologna (Ita), 27-31 October 2025
  Contributo in Atti di Convegno (Proceeding)
• Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
  Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. In: 26th International Symposium on Multimedia, Tokyo (JP), 11-13 December 2024, pp. 63-70. ISBN: 979-8-3315-1111-1
  Contributo in Atti di Convegno (Proceeding)