(The following topics include but are not limited to)
Topic 1. Computer Vision
Big Data and Computer Vision
Biometric identification
Biomedical image analysis
Remote sensing image, computational photography
Optimization and learning methods
Sensing and Display
Dataset and performance analysis
Document image analysis
Character recognition, pose analysis, behavior recognition
Visual model, video analysis
Multimodal information processing
Vision and Language
Movement and tracking
Three-dimensional reconstruction
Human-computer interaction
Theme 2. Data Mining
Fundamentals of Data Mining, Visualization of Data Mining
Large-scale data mining methods
Business Strategy and Information Technology
IT Software Development and Methodology
Machine learning and artificial intelligence
Software and hardware co-design
Data flow mining, network mining
Parallel and distributed data mining algorithms
Green and sustainable development software
Graph and subgraph mining
Large-scale data mining methods
Software reuse and measurement
High-performance data mining algorithm
Software testing and analysis
Topic 3. Big Data Technology
Computer Basics and Programming
Database and SQL
Big Data technology and architecture
Introduction to Big Data
Deep Learning Technology and Applications
Data acquisition and preprocessing
Big data analysis and visualization
Machine learning and artificial intelligence
High-performance computing technology
Network infrastructure
Multi-core computing and big data applications
Big data system