(The following topics include but are not limited to)
Theme 1: Deep Learning
Basic algorithms of deep learning
Deep learning in Computer vision
Combination of natural language processing and vision
Transfer learning, reinforcement learning
Domain adaptation
Joint Learning and Privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing
Topic 2: Neural Networks
Robot control
Optimal combination
Knowledge Engineering
Artificial intelligence
Logical programming
Human-computer interaction
Deep learning
Signal processing
Information extraction
Natural language inference
Theme 3: Big Data Mining
Statistical machine learning
Database management
Data visualization
Artificial intelligence
Information retrieval
Statistical learning theory
Mathematical optimization
Natural language processing
Computer Science
Computing infrastructure and algorithm design
Business Intelligence
Big data technology
Time series analysis
Pattern recognition, network analysis
Privacy and data security
Domain knowledge, ethical research
Data cleaning and preprocessing
Technologies applied in specific fields