(Topics include but are not limited to)
Topic 1: Computer Vision
3D and surface reconstruction
Content based image retrieval
Data visualization
Gaze tracking
Graphical user interface
Handwriting recognition
Head mounted display
Head up display
Visualization
watermark
Machine learning techniques for vision
visualization
machine vision technology 
machine learning
computer graphics
Biological Vision
Modeling of natural scenes and phenomena
Image and Video Matrix
Rendering technology
Modeling and animation
Image and video retrieval
Video analysis and processing
Machine Architecture
Machine engine for graphics and VR
Image/Video Analysis
feature extraction 
Grouping and segmentation
Scene analysis
pattern recognition
human-computer interaction
Topic 2: Data Mining
Network Mining
Data stream mining
Parallel and distributed algorithms
Graph and subgraph mining
Large scale data mining methods
Text, video, and multimedia data mining
Scalable data preprocessing
High performance data mining algorithm
Data Security and Privacy
Data Mining System for E-commerce
Software Engineering Practice
Network Engineering
Multimedia and Visual Software Engineering
Software maintenance and testing
Search engines and information retrieval, association rules, classification
Topic Three: Data Driven
Artificial Intelligence (AI)
Deep Learning
Reinforcement learning
Transfer learning
Self supervised learning
Distributed and federated machine learning
Trusted Machine Learning
Generate Model
Large Language Models (LLMs)
Automatic verification of LLMs
Coordination between small and large models
AI for Science and Engineering
AI for education and society, and for the field of art
AI in the field of security
Data driven optimization algorithm
Bayesian optimization
Neural combinatorial optimization
Large scale and multi-objective optimization
Integration of machine learning and optimization
The data-driven decision-making paradigm
Intelligent scheduling
Reinforcement learning for combinatorial optimization
Distributed and joint optimization