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We are the ANTS Group @ XJTU

Advanced NeTworked System Group

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About

The Advanced NeTwork System Group (ANTS) at Xi'an Jiaotong University focuses on research to ensure network reliability, enhance network flexibility, and improve network transmission performance, centering around future internet, AI infra network, and explanable AI. Through collaboration with major domestic and international network vendors, the group aims to implement and transform research results in real-world scenarios, publish influential academic papers, and cultivate top talents in the field of networks and systems.

We welcome students who are interested in the field of networked systems and AI, have strong self-motivation, and possess good programming skills to join us.

People

Research

The group currently has four research directions: Network Verification, Programmable Networks, Transmission Performance Optimization, and Explainable AI. Click the icons for detailed introductions.

netverify

NetVerify
Network Verification

As network scale and complexity increase, especially with the emergence of large-scale training clusters, traditional network operations relying on manual experience are no longer suitable. Network verification technology formalizes and accurately simulates network topology, configuration, and traffic states, enabling automated generation, verification, and repair of networks to ensure reliability. Network verification has become an indispensable key technology for major cloud providers, operators, and internet companies, with significant research and application value.

netfun

NetFun
Programmable Networks

Programmable networks leverage technologies such as Software-Defined Networking (SDN) for flexible programming control over network behavior, dynamically adjusting network resources and policies to effectively enhance network agility and accelerate the evolution of network architecture.

netperf

NetPerf
Transmission Performance Optimization

Network transmission performance optimization aims to reduce latency, improve bandwidth utilization, and enhance data transmission efficiency. By employing techniques such as traffic management, transmission control, and intelligent scheduling, it minimizes congestion and data loss, thereby boosting network stability and responsiveness. Research in this area contributes to the development of high-performance networks that meet the demands for high-speed communication in modern applications.

xai

NetXAI
Explainable AI for Intelligent Networks

As a core trend in future network evolution, autonomous driving networks leverage AI to build "self-configuring, self-healing, and self-optimizing" systems. However, the black-box nature of AI lacks interpretability, creating trust and security risks. NetXAI addresses this by deeply analyzing network inference mechanisms through visual analytics, feature attribution, and decision-path tracing. By ensuring system transparency, operational compliance, and behavioral traceability, NetXAI provides a robust guarantee for the reliable deployment and secure operation of intelligent networks.

Join Us

Contact: p-zhang@xjtu.edu.cn