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Mingwei Zhan

2 accepted papers

2025

FlowRefiner: A Robust Traffic Classification Framework against Label Noise

NeurIPS 2025poster

Network traffic classification is essential for network management and security. In recent years, deep learning (DL) algorithms have emerged as essential tools for classifying complex traffic. However, they rely heavily on high-quality labeled training data. In practice, traffic data is often noisy…

Cited by 0SourcecodeScholar
2023

Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation

AAAI 2023technical

Traffic classification is a critical task in network security and management. Recent research has demonstrated the effectiveness of the deep learning-based traffic classification method. However, the following limitations remain: (1) the traffic representation is simply generated from raw packet byt…