(The following topics include but are not limited to)
Topic 1. Computer Science
The Monte Carlo method for numerical analysis was applied
Molecular dynamics
Model fitting and data analysis
Computational mathematics
Computational Physics
Computational chemistry
Computational Finance
Large-scale scientific and engineering computing
Quantum computing
Machine learning
Network analysis
Pattern recognition
Distributed and parallel systems
High-performance computing and algorithms
Computing and simulation based on Web and grid
Matlab Programming and Application
Cognitive computing
Cloud computing
Embedded computing
Scalable computing
Mobile computing
Topic 2. Privacy Computing
Youdaoplaceholder0 Cryptography ‌
Federated learning
Multi-party secure computation
Anonymous query
Data circulation and privacy protection
Hardware and software solutions for big data search, storage and management
Privacy and security of cloud and big data
Virtualization technology, cloud data management and storage, cloud resource management and QoS
Big data analysis encryption
Data visualization and visual analysis
The evolution of big data analysis and biologically inspired methods
Theme 3. Deep Learning
Basic algorithms of deep learning
Deep learning in Computer vision
Combination of natural language processing and vision
Transfer learning
Domain adaptation
Enhanced learning
Joint Learning and Privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing