Zhiping Lin

Efficient representation learning for high-dimensional imbalance data

2016

In this paper, a multi-layer weighted extreme learning machine (ML-WELM) is proposed for high-dimensional datasets with class imbalance. The recently proposed single hidden layer WELM method effectively tackles class imbalance but it may not capture …

Knowledge Graph Embedding using Tri-Relation Vectors on Hyperplanes

2024

Graph neural networks are a subfield of graph learning within artificial intelligence. Knowledge graphs enhance information interconnectivity and comprehensibility by representing knowledge in a structured and semantic manner. They provide richer semantic information compared to …

DQSA: Dynamic Quantized Self-Attention for Multi-Task Encrypted Network Traffic Classification

2025 · IEEE Transactions on Information Forensics and Security

Network traffic classification is crucial for both network security and management. Despite advances in deep learning-based multi-task traffic classification, existing models often struggle to jointly handle multiple tasks while providing interpretable insights. In multi-task scenarios, …