2 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning
Lingfeng Peng, Xiaohui Xie, Yang Bao +1
Network decision-making tasks, including adaptive bitrate streaming, load balancing, and congestion control, require policies to process heterogeneous states and actions while bala…
NetConfArena: An Executable Benchmark for LLM Agents in Closed-Loop Network Configuration
Chang Liu, Xiaohui Xie, Xinyi Chen +1
Large language model (LLM) agents are increasingly attractive for automating network configuration, yet their reliability and failure patterns are poorly understood. An essential p…
UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
Tongze Wang, Xiaohui Xie, Wenduo Wang +2
Network traffic classification (NTC) models often suffer severe performance degradation when deployed in real-world environments due to distribution shifts caused by changing netwo…
NetMamba+: A Framework of Pre-trained Models for Efficient and Accurate Network Traffic Classification
Tongze Wang, Xiaohui Xie, Wenduo Wang +6
With the rapid growth of encrypted network traffic, effective traffic classification has become essential for network security and quality of service management. Current machine le…
Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
Chuyi Wang, Xiaohui Xie, Tongze Wang +1
Pre-trained models operating directly on raw bytes have achieved promising performance in encrypted network traffic classification (NTC), but often suffer from shortcut learning-re…