(Including but not limited to the following topics)
Track 1: Evolutionary Algorithm
Evolutionary computing and learning
Algorithm analysis
Approximate algorithm
Computability theory
Evolutionary algorithm, genetic algorithm
Numerical analysis
Online algorithms, quantum algorithms
Randomization algorithm, ranking algorithm
Algorithm graph theory and composition
Computational geometry
Track 2: Machine Learning
Intelligent data analysis
Modeling and recognition
Multitasking and transfer learning
Machine learning algorithm
Deep learning, artificial intelligence
Data mining, data access
Pattern recognition
Data compression, data encryption
Mobile computing
Wireless sensor network
Multimedia network, neural network
Robot control
Signal detection and estimation
Bioinformatics processing
Intelligent system, statistical learning
Track 3: Computer Vision
Big Data and Computer Vision
Remote sensing image, computational photography
Optimization and learning methods
Dataset and performance analysis
Visual model
Multimodal information processing
Vision and Language
Three-dimensional reconstruction
Image processing
Data visualization
Machine learning techniques for vision
Visualization and machine vision technology
Machine learning, computer graphics
Biological vision
Modeling and animation
Image and video retrieval
Machine architecture
Machine engines for graphics and VR