Track 1: Fundamentals of Artificial Intelligence
Intelligent Systems
Artificial Intelligence Algorithms
Fuzzy logic
Software and hardware architecture
Intelligent system architecture
Environmental intelligence
Knowledge-based system
Knowledge Management
Automatic programming
Artificial neural network
Evolutionary algorithm
Reinforcement learning
The Application of AI in Robotics and Mechatronic Systems
Computational intelligence
Soft Computing Theory and Application
Hybrid intelligent system
Intelligent system
Ubiquitous Computing and Environmental Intelligence
Knowledge representation
Pattern recognition
Artificial intelligence tools
Genetic algorithm
Ant colony algorithm
Track 2: Natural Language Processing
Generative Artificial Intelligence
Natural language processing
Speech and natural Language processing
Information retrieval and fusion
Human-computer interaction
Computer modeling
ChatGPT Technology and Applications
Generative artificial intelligence
Multimodal understanding and dialogue system
Optimization and compression of large language models
Knowledge-enhanced language model
Track 3: Computer Vision and Image Understanding
Signal and image processing
Computer Vision and Information Visualization
Digital image processing
Computer animation
Multimedia application
3D reconstruction and point cloud processing
Image generation and diffusion model
Visual Scene understanding and SLAM
Track 4: Big Data Management, Security and Application
Big data management
Big data analysis
Data Science
Database system
Knowledge Management
Big data encryption
Communication system
Embedded system
Anomaly detection
Data privacy protection
Federated learning
Blockchain and Data Trusted Computing
Industrial big data
Visual analysis and intelligent monitoring
Track 5: Machine Learning, Data Mining and Decision Intelligence
Machine learning
Data mining
Pattern recognition
Anomaly detection
Medical big data
Automatic control
Digital management
Digital finance
Explainable artificial intelligence
Causal inference
Few-shot and zero-shot learning
Decision intelligence
Intelligent recommendation System
and data-driven decision support
Track 6: Algorithm Optimization and Theoretical Foundation
Algorithm optimization
Sorting algorithm
Search algorithm
Graph exploration algorithm
Numerical analysis
Fuzzy computing
Distributed system
Edge computing
Mobile computing
High performance and grid computing
Computability theory
Software Engineering
Quantum computing and quantum algorithms
Neural Architecture Search (NAS)
Track 7: Artificial Intelligence Applications and Emerging Technologies
Intelligent healthcare
Intelligent education
Intelligent transportation
Smart City
AIoT (Artificial Intelligence and Internet of Things
Edge intelligence
Digital finance
Intelligent manufacturing
Data privacy protection
Explainable and trustworthy artificial intelligence
