(Including but not limited to the following topics)
Track 1: Neural Networks
Design and theoretical analysis of new neural network models
Lightweighting and acceleration technologies for deep learning models
Graph neural networks and modeling of complex systems
Advances in self-supervised learning and representation learning
Neural architecture search and automated machine learning
Federated learning and optimization of distributed training
Interpretability and visualization of neural networks
Methods for small sample and zero sample learning
Neural-symbolic fusion and reasoning systems
Adversarial attacks and robustness of neural networks
Collaborative design of neural network hardware
Open-source deep learning frameworks and tools
Track 2: Pattern Recognition
Multi-modal data fusion and recognition
Biometric recognition and security authentication
Temporal pattern recognition and prediction
Image and video content understanding
Speech and audio pattern recognition
Document analysis and handwritten recognition
Behavior recognition and anomaly detection
Weakly supervised and unsupervised pattern discovery
Cross-domain pattern transfer learning
Performance evaluation of pattern recognition systems
Embedded pattern recognition systems
Open-source datasets and benchmarks for pattern recognition
Track 3: Multimedia Technology
Intelligent analysis and retrieval of multimedia content
Image and video enhancement and restoration technologies
Cross-modal content generation and editing
Multimedia data compression and transmission
Virtual reality and augmented reality media technologies
Multimedia information hiding and security
Intelligent audio and video synthesis and driving
Multimedia emotional computing and interaction
Multimedia digital rights protection
Multimedia big data management platform
Multimedia technology standardization
Construction of multimedia content for the metaverse ......