(Include but not limited to)
Track 1: Machine Learning and Artificial Intelligence
New paradigms of supervised, unsupervised and semi-supervised learning
Innovations in deep learning architectures (Transformer variants, graph neural networks, etc.)
Reinforcement learning and sequence decision-making models
Transfer learning, domain adaptation and small sample learning
Federated learning and privacy-preserving machine learning
Generative models (diffusion models, GANs, and variational autoencoders)
Neural network interpretability and causal reasoning
Neural symbolic learning and hybrid intelligent models
Distributed machine learning and model optimization strategies
Automated machine learning (AutoML) and hyperparameter tuning
Robust machine learning and adversarial defense mechanisms
Probabilistic graphical models and Bayesian deep learning
Track 2: Computer Vision and Pattern Recognition
Image/Video object detection, segmentation and tracking techniques
Multimodal representation learning and cross-modal information fusion
Visual-language joint understanding (image/video description, visual question answering)
3D computer vision (point cloud processing, NeRF and 3D reconstruction)
Biometric recognition (face, iris, gait, etc.) and security
Medical image analysis and computational pathology
Document image processing and handwritten character recognition
Action recognition, behavior analysis and scene understanding
Multimodal sentiment analysis and social media computing
Audio-video fusion analysis and multimodal retrieval
Remote sensing image interpretation and environmental perception
Data augmentation, representation learning and self-supervised visual pre-training
Track 3: Multimodal and Intelligent Applications
Natural language understanding and semantic analysis
Multimodal large language models and base models
Dialogue systems and chatbots
Machine translation and cross-language processing
Sentiment analysis and social media text mining
Multimodal knowledge representation, reasoning and knowledge graphs
Human-computer interaction, intelligent interfaces and usability
Agent frameworks and multi-agent systems
Large models and applications of intelligent agent systems (in healthcare, finance, smart cities, etc.)
Trustworthy AI, security and ethical issues
Edge intelligence and distributed intelligent systems
Intelligent Internet of Things and cyber-physical systems
Artificial intelligence-driven scientific discovery and emerging applications ......