(Including but not limited to the following topics)
Track 1: Machine Learning
Deep and Reinforcement Learning
Pattern Recognition and Classification of Networks
Machine Learning for Network Slice Optimization
Machine Learning in 5G Systems
Machine Learning for User Behavior Prediction
New Innovative Machine Learning Methods
Optimizing Machine Learning Methods
Performance Analysis of Machine Learning Algorithms
Experimental Evaluation of Machine Learning
Data Mining in Heterogeneous Networks
Machine Learning for Multimedia
IoT Machine Learning
Security and Protection of Machine Learning
Distributed and Decentralized Machine Learning Algorithms, etc.
Track 2: Algorithm Optimization
Algorithms and Data Structures
Quantum Algorithms and Computing
Biologically Inspired and Evolutionary Algorithms
Random, Probabilistic and Approximate Algorithms
Optimization Based on Machine Learning
AI Algorithms in Physics
Algorithms and Data Structures
Evolutionary Computation and Learning
Visualization Algorithms for Physical Characteristics
Advanced Numerical Algorithms
Parallel and Distributed Algorithms
Graphics Rendering and Graphics Algorithms
Advanced Control Schemes
Control and Optimization of Complex Dynamic Systems
Combat Optimization and Decision-Making Methods
Advanced Sensing Technology and Algorithms
Pattern Recognition and Artificial Intelligence Algorithms
Track 3: High-Performance Computing
Network Computing Technology
Development of High-Performance Computing Software and Tools
Computer System Evaluation Technology
Cloud Computing Systems
Mobile Computing Systems
Point-to-Point Computing
Grid and Cluster Computing
Service and Internet Computing
Utility Computing ......