2 citations · 3 across the 10 of their papers we have counts for
12 papers
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…
TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces
Junhui Ding, Xinchen Zhang, Xiaohui Xie +1
Critical networking workflows require high-fidelity packet captures (PCAPs) for testing, security analysis, and protocol validation, not just statistical flow-level summaries. Rece…
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…
PEMI: Transparent Performance Enhancements for QUIC
Jie Zhang, Lei Zhang, Ziyi Wang +5
QUIC, as the transport layer of the next-generation Web stack (HTTP/3), natively provides security and performance improvements over TCP-based stacks. However, since QUIC provides…
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…
Automated Network Protocol Testing with LLM Agents
Yunze Wei, Kaiwen Wei, Shibo Du +7
Network protocol testing is fundamental for modern network infrastructure. However, traditional network protocol testing methods are labor-intensive and error-prone, requiring manu…
AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
Chenguang Du, Chuyi Wang, Yihan Chao +2
The rapid development of AI agents leads to a surge in communication demands. Alongside this rise, a variety of frameworks and protocols emerge. While these efforts demonstrate the…
INTA: Intent-Based Translation for Network Configuration with LLM Agents
Yunze Wei, Xiaohui Xie, Tianshuo Hu +4
Translating configurations between different network devices is a common yet challenging task in modern network operations. This challenge arises in typical scenarios such as repla…
NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
Tongze Wang, Xiaohui Xie, Wenduo Wang +3
Network traffic classification is a crucial research area aiming to enhance service quality, streamline network management, and bolster cybersecurity. To address the growing comple…
Large Language Models for Networking: Workflow, Advances and Challenges
Chang Liu, Xiaohui Xie, Xinggong Zhang +1
The networking field is characterized by its high complexity and rapid iteration, requiring extensive expertise to accomplish network tasks, ranging from network design, configurat…