(The following topics include but are not limited to)
Topic 1. Computer Science
Algorithm
Computer network, computer simulation
Computational ethics
Computer security, computer vision
Image processing
Data compression, data mining technology
Artificial intelligence, artificial intelligence algorithm
Natural language processing, fuzzy logic
Computer Vision and Image Understanding
Signal and image processing
Speech and natural language processing
Computational learning theory
Information retrieval and fusion
Bioinformatics
Mobile computer processing technology
Human-computer interaction
Topic 2. Neural Network
Graph Neural Network (GNN), Generative Adversarial Network (GAN)
Neuromorphic computation
Brain-computer interfaces and neural networks
Brain-inspired intelligence, brain network analysis
Bio-inspired learning algorithm
Deep neural networks, convolutional neural networks, generative adversarial networks, recurrent neural networks
Neural network structure
Neural symbol hybrid model
Interpretability and visualization methods of neural networks
The analysis and research of neural networks in fields such as medicine, finance and energy
Topic 3. Machine Learning
Width learning system
Machine learning, deep learning, reinforcement learning
Learning transfer
Knowledge graph
Path planning
Transfer learning
Generative adversarial network
Adversarial learning, dual learning
Distributed learning
Meta-learning, etc.