(Including but not limited to the following topics)
Track 1: Intelligent Sensing
Intelligent sensing systems
Intelligent sensing technologies
Optical sensing and detection
Multimodal sensing and fusion
Sensor fusion and information integration
Visual sensing technology
Autonomous sensing systems
Embedded sensing systems
Intelligent monitoring and detection
Environmental sensing and cognition
Track 2: Pattern Recognition
Pattern recognition and classification
Computer vision and image understanding
Natural language processing
Multimodal learning
Small sample and transfer learning
Federated learning
Large language models and intelligent representations
Interpretable artificial intelligence
Transformer architecture
Data-driven modeling and learning algorithms
Machine learning and deep learning methods for perception and decision-making in intelligent systems
Reinforcement learning and control in intelligent systems
Unsupervised and self-supervised learning in complex systems
Cross-domain pattern recognition and cognitive computing
Interpretable artificial intelligence and interpretable pattern recognition
Few-shot and zero-shot learning for perception in intelligent systems
Self-supervised representation learning in complex systems
Track 3: Intelligent Systems
Intelligent control systems, intelligent information systems
Intelligent data mining
Artificial intelligence and evolutionary algorithms
Distributed artificial intelligence algorithms and technologies
Distributed artificial intelligence systems and architectures
Neural networks and their applications
Multimodal dynamic sensing and natural interaction
Robot navigation, positioning, and autonomous control
Robot perception and data fusion
Multi-robot collaborative control
Intelligent information fusion ......