(The following topics include but are not limited to)
Track 1: Artificial Intelligence
Innovations and optimizations in deep learning model architectures
Application of reinforcement learning in decision-making of complex systems
Generative AI and multimodal large models
Interpretability of AI and causal reasoning mechanisms
Federated learning and privacy-preserving computing
Graph neural networks and knowledge embedding technologies
Meta-learning and small-sample adaptive algorithms
Neural-symbolic fusion and logical reasoning
AI counter-attacks and security defenses against AI
Edge intelligence and lightweight model deployment
Ethical governance and alignment research of AI
Exploration of next-generation AI theoretical frameworks
Track 2: Optimization Algorithms
Mixed integer programming and large-scale optimization
Stochastic optimization and robust optimization methods
Multi-objective evolutionary algorithms and Pareto front
Distributed optimization and parallel computing architectures
Online learning and dynamic resource scheduling
Combinatorial optimization and heuristic algorithm design
Data-driven optimization and solving black-box functions
Convex optimization and strategies for non-convex problems
Convergence theory and acceleration techniques of optimization algorithms
Hardware implementation of intelligent optimization algorithms
Design and verification of optimization control systems
Practical development of industry-level optimization platforms
Track 3: Energy Systems
Multi-time-scale optimization of integrated energy systems
Hydrogen energy network planning and operation optimization
Intelligent guidance strategies for electric vehicle charging
Optimization and trading mechanisms of virtual power plants
Methods for enhancing resilience of regional energy systems
Digital twin and simulation analysis of energy systems
Analysis of energy consumption behavior and demand-side management
Cross-domain energy coordination and mutual assistance scheduling
Carbon footprint tracking and optimization of low-carbon scheduling
Intelligent maintenance technology of energy IoT
Optimization of smart contracts in energy blockchain
Application of quantum computing in energy optimization ......