(Include but not limited to)
Track 1: Deep Learning
Deep neural network architectures and design
Self-supervised learning and contrastive learning
Reinforcement learning and deep reinforcement learning
Transfer learning, meta-learning and small sample learning
Graph neural networks and graph representation learning
Generative AI and diffusion models
Multimodal learning and cross-modal representation
Model compression, knowledge distillation and lightweight deployment
Neural architecture search (NAS) and AutoML
Adversarial learning and robust deep learning
Federated learning and distributed model training
Deep generative models (VAE, Flow, etc.)
Track 2: Big Data Analysis
Big data collection, processing and storage technologies
Data mining and knowledge discovery
High-dimensional data analysis and dimensionality reduction methods
Spatial-temporal big data analysis and prediction
Graph data mining and social network analysis
Stream data processing and real-time analysis
Multi-source heterogeneous data fusion and integration
Data visualization and visual analysis
Big data distributed computing and parallel processing
Data quality assessment and data governance
Data privacy protection and secure computing
Text, video and multimedia data mining
Recommendation systems and personalized services
Data-driven decision support systems
Big data applications in finance, healthcare, transportation, etc.
Track 3: Intelligent Computing
Evolutionary computing, swarm intelligence and optimization algorithms
Neural networks and fuzzy logic systems
Intelligent control and automation systems
Computer vision and image/video understanding
Natural language processing and large language model applications
Speech recognition, sentiment computing and human-computer interaction
Intelligent recommendation systems and personalized services
Internet of Things and cyber-physical systems (CPS)
Cloud computing and distributed computing architectures
Intelligent fault diagnosis and predictive maintenance
AI ethics, security and social impact
AI-driven scientific computing and interdisciplinary applications ......