(The following topics include but are not limited to)
Track 1: Algorithms
Optimization algorithms
Graph algorithms, probabilistic algorithms
Parallel and distributed algorithms
Geometric algorithms
Adaptive and intelligent algorithms
High-performance data mining algorithms
Natural computing
Algorithms and data structures
Quantum algorithms and computing
Biologically inspired and evolutionary algorithms
Random, probabilistic and approximate algorithms
Optimization based on machine learning
Track 2: Artificial Intelligence
Robotics technology
Natural language processing
Machine learning
Pattern recognition
Neural networks and support vector machines
Fuzzy control and systems
Human-computer interaction
Data mining
Intelligent control and decision-making
Intelligent systems and language
Machine perception Computer Vision
Information retrieval and web search
Adaptive systems
Reinforcement learning algorithms
Training of artificial intelligence models with computing power support
Track 3: Machine learning Deep Learning
Transfer learning
Meta learning
Model learning
Natural language processing
Multi-task learning
Deep generative model
Automated machine learning Human-machine collaboration