Lijun Cai

Searchlight-scanned Over-sampling for Class Imbalance Problem

2021

In data mining and machine learning, the class imbalance problem occurs when the number of samples in one class (minority) is obviously smaller than the other one (majority), ignoring the learning of minority class. To …

ET-Former: Robust Transformer-Based Representation for Encrypted Traffic Classification

2025

Encrypted traffic classification requires capturing robust and effective traffic representations from data that lack explicit patterns and clear semantics, which is crucial for network management and cybersecurity. Existing methods heavily rely on large amounts of …