(The following topics include but are not limited to)
Track 1: Machine Learning
Innovations and optimizations in deep learning architectures
Reinforcement learning and decision-making intelligent systems
Generative adversarial networks and diffusion models
Transfer learning, meta-learning, and small sample learning
Self-supervised learning and contrastive learning
Federated learning and distributed machine learning
Wide learning systems and efficient learning algorithms
Knowledge graphs and graph neural networks
Time series analysis and predictive modeling
Automatic machine learning and hyperparameter tuning
Multi-task learning and multi-agent learning
Artificial intelligence for scientific discovery
Efficient training and inference technologies for large models
Track 2: Computer Vision
Object detection, tracking, and recognition
Image segmentation and scene understanding
3D reconstruction and computational photography
Biometric recognition and medical image analysis
Remote sensing image interpretation and processing
Video content analysis and behavior recognition
Visual models and representation learning
Multimodal visual information processing
Visual and language cross-modal understanding
Generative visual models and image synthesis
Visual perception in autonomous driving
Virtual reality and augmented reality visual technologies
Edge visual computing and lightweight models
Visual large models and prompt learning
Track 3: Natural Language Processing and Intelligent Information Processing
Natural language understanding and semantic analysis
Text generation and automatic summarization
Machine translation and multilingual models
Sentiment analysis, opinion mining, and emotion detection
Information extraction and knowledge graph construction
Question answering systems and dialogue systems
Named entity recognition and relationship extraction
Retrieval-enhanced generation (RAG) technology
LLM architectures and fine-tuning for large language models
Prompt engineering and instruction tuning
Speech recognition and speech synthesis technologies
Multimodal NLP and cross-modal reasoning
Low-resource languages and cross-language processing
Social media text analysis and false information detection
NLP applications of generative AI in education, healthcare, finance, etc. ......