(Topics include but are not limited to)
Neural Network Architecture Search and Design
New Generative Models (Diffusion Model, GAN, Flow Model)
Large scale pre trained models and fine-tuning strategies
Multimodal generation (text image audio video)
Creative thinking and AI generated content evaluation
The application of AI in artistic (visual, musical, literary) creation
The Application of Generative Models in Scientific Discoveries
Creative Intelligence System Design and Interaction
Human computer collaborative creativity and hybrid intelligence
Controllable generation of generative models
Improvement and Application of Adversarial Generative Networks
Variational Autoencoder and Representation Learning
Data bias and fairness in generative models
Creative Content Copyright and Generative AI Ethics
The Application of Interpretability of Neural Networks in Creative Scenarios
Generative models in game development and virtual world construction
Small sample generation and transfer learning
Self supervised learning and generative pre training
Application of Generative Models in Industrial Design
Creative Problem Solving and Evolutionary Algorithms
Authenticity detection and traceability of AI generated content
Fusion of Generative Models and Symbolic Reasoning
The Practice of Creative Intelligence in Education and Training
Lightweight generative models and edge deployment
Future Trends and Social Impact of Creative Intelligence