(The following topics include but are not limited to)
Topic 1: Deep Learning
Deep neural network architecture
Application of Convolutional Neural Networks
Recurrent Neural Network and Sequence
Generative Adversarial Networks
Self supervision and contrastive learning
Graph Neural Network Technology
Model compression and acceleration
Deep learning interpretability
Topic 2: Intelligent Decision making
Multi criteria decision analysis
Decision Theory and Methods
Risk Decision Analysis
Uncertain decision
Group decision-making techniques
Data driven decision-making
decision support system
Intelligent recommendation system
Topic 3: Data Mining
Association rules and sequence patterns
Cluster analysis and anomaly detection
Classification and prediction models
Text and Web Mining
Spatiotemporal data mining
High dimensional and streaming data mining
Optimization of Data Mining Algorithms