Tailai Song

Orcid: 0000-0003-2051-5346

According to our database1, Tailai Song authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection.
CoRR, March, 2026

One Is Enough: Efficient Modeling of RTP Traffic for QoS Predictions in Real-Time Communications.
IEEE Trans. Netw., 2026

2025
Packet Loss in Real-Time Communications: Can ML Tame Its Unpredictable Nature?
IEEE Trans. Netw. Serv. Manag., February, 2025

Do We Really Need Reference-Based Phishing Detection? Unleashing the Power of GNN.
Proceedings of the 9th Network Traffic Measurement and Analysis Conference, 2025

Advancing Cloud-Native Cyber Threat Detection with Graph-Based Feature Engineering.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Debunking Reinforcement Learning for Bandwidth Estimation in Real-Time Communications: When a Simple Regressor Suffices.
Proceedings of the 21st International Conference on Network and Service Management, 2025

2024
DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes.
Comput. Networks, 2024

High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Towards the Detection of Unobservable Losses in Real-Time Communications.
Proceedings of the 30th IEEE International Symposium on Local and Metropolitan Area Networks, 2024

Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications.
Proceedings of the IEEE International Symposium on Multimedia, 2024

Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes.
Proceedings of the IEEE Symposium on Computers and Communications, 2024

BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Where Did My Packet Go? Real-Time Prediction of Losses in Networks.
Proceedings of the IEEE International Conference on Communications, 2023


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