(The following topics include but are not limited to)
Track 1: Applied Mathematics
Initial-boundary value problems
Mathematical physics inverse problems
Homogenization theory
Combinatorics
Complex dynamics
Difference and differential equations
Random walk and iteration theory
Stability theory
Symmetry and integrable systems
Special functions and orthogonal polynomials
Applications of computer mathematics
Mathematical theory of artificial intelligence
Track 2: Intelligent Computing
Quantum computing
Quantum machine learning
Bio-computing
Neural network systems
Natural language processing
Language intelligence Computer Vision
Image analysis
Social networks, social computing modeling
Intelligent transportation
Intelligent finance
Behavior modeling
Trustworthy artificial intelligence
Intelligent edge devices
Low-power AI
Multimodal intelligent analysis
Track 3: Machine learning
Supervised learning
Unsupervised learning
Semi-supervised learning
Deep learning
Neural network optimization Reinforcement Learning
Adaptive intelligent system
Federated learning
Distributed training
Fuzzy logic
Particle swarm algorithm, genetic algorithm
Ant colony algorithm, evolutionary algorithm, swarm algorithm
Rough set
Immune algorithm, heuristic algorithm
Univariate optimization
Model fusion
Multi-algorithm integration