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Shangyuan Zhuang

3 accepted papers

2026

Keep Experts Diverse: A Task-Aware MoE for Multi-Task Traffic Analysis

IJCAI 2026

Network traffic analysis is crucial for maintaining the security of networks. Yet deploying accurate models on edge nodes remains challenging due to protocol diversity, complex traffic behaviors, and stringent resource constraints. Although recent deep learning models achieve strong performance, the

Cited by 0Scholar
2024

Fast and Accurate Root Cause Analysis Based on Signalling Messages for 5G Networks

ICASSP 2024accepted

The ever-increasing complexity and scale of 5G communication networks pose huge challenges to network operations. Root cause analysis is considered as a promising method for fault detection. However, it still suffers challenges of severely uneven distribution of fault data, low accuracy in root caus…

Cited by 0SourceScholar
2024

Manticore: An Unsupervised Intrusion Detection System Based on Contrastive Learning in 5G Networks

ICASSP 2024accepted

The increasing complexity and openness of 5G networks naturally enlarge the attack surface and introduce new vulnerabilities, thereby posing challenges to the performance of existing intrusion detection systems (IDSs). Current IDSs solely rely on statistical features, which may suffer from low accur…

Cited by 0SourceScholar