(The following topics include but are not limited to)
Track 1: Data-driven Network
Intelligent collection and governance of network data
Data-driven network performance optimization
Network situational awareness and anomaly detection
Intent-driven network and automated operation and maintenance
Construction and simulation of network digital twins
Network traffic analysis and prediction
Data-driven cybersecurity protection
Network data visualization and decision support
Cross-domain network data fusion analysis
Network data privacy protection technologies
Network data standards and interoperability
Open-source tools ecosystem for network data
Track 2: Software Engineering
Intelligent software requirement engineering
Code generation and automatic programming techniques
Automated software testing and intelligent verification
Adaptive evolution of software architecture
Intelligent practice of development and operation integration
Quantification of software quality and continuous improvement
Governing open-source software ecosystem
Software supply chain security management
Low-code/No-code development platforms
Construction of software engineering knowledge graph
Intelligent software engineering education
Track 3: Intelligent Algorithms
Efficient training and inference optimization of large models
Graph neural networks and modeling of complex systems
Application of reinforcement learning in dynamic systems
Distributed intelligent algorithms and federated learning
Meta-learning and automated machine learning
Causal reasoning and interpretable models
Multi-agent collaborative decision-making algorithms
Online learning and incremental learning algorithms
Algorithm fairness and bias elimination
Design of intelligent algorithm hardware acceleration
Algorithm evaluation benchmarks and competition platforms
Open-source algorithm libraries and toolchains ......