4 papers
PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification
Wumei Du, Jiarong Wen, Kaiyu Zhang +5
Encrypted traffic classification is vital for network security, yet real-world deployments are inherently sensitive to rare but high-loss errors such as misclassification of malici…
Bridging Distance and Spectral Positional Encodings via Anchor-Based Diffusion Geometry Approximation
Zimo Yan, Zheng Xie, Runfan Duan +2
Molecular graph learning benefits from positional signals that capture both local neighborhoods and global topology. Two widely used families are spectral encodings derived from La…
Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification
Wumei Du, Dong Liang, Yiqin Lv +4
Internet services have led to the eruption of network traffic, and machine learning on these Internet data has become an indispensable tool, especially when the application is risk…
Predicting publication productivity for authors: Shallow or deep architecture?
Wumei Du, Zheng Xie, Yiqin Lv
Academic administrators and funding agencies must predict the publication productivity of research groups and individuals to assess authors' abilities. However, such prediction rem…