(The following topics include but are not limited to)
Topic 1: Intelligent Perception
Computer Vision and Image Processing
Biometric recognition (fingerprint, iris, voice, etc.)
Speech Recognition and Synthesis
Medical image analysis and diagnosis
Perception Technology in Intelligent Transportation Systems
Behavior analysis and posture recognition
Multimodal perception and data fusion
Perception Technology in Augmented Reality and Virtual Reality
Edge computing and real-time perception
Environmental Perception in Autonomous Vehicles
Intelligent monitoring system
IoT perception in smart homes
Environmental Perception and Meteorological Detection
City perception platform integrating IoT technology
Ecological environment monitoring and remote sensing technology
Perception and Control in Intelligent Robots
Application of New Sensors and Intelligent Hardware
Automated testing and quality control
Knowledge driven multi-sensor data fusion technology
Embedded computing for perception systems
Wearable devices and health monitoring
Ocean perception and detection technology
Pollution Monitoring and Environmental Data Analysis
Smart antenna system and wireless sensing
Perception Technology in Space Exploration and Astronomical Observation
Topic 2: Pattern recognition
The Application of Deep Learning in Pattern Recognition
Natural Language Processing and Text Analysis
Object detection and tracking
Abnormal detection and fault diagnosis
Emotion Computing and Emotion Recognition
The Application of Data Privacy and Security Management in Perception Systems
The Application of Big Data in Pattern Recognition
Knowledge Graph and Intelligent Search
Pattern Recognition in Decision Support Systems
Prediction and recognition of time-series data
Neural Network Architecture Search and Optimization
The Application of Pattern Recognition Algorithms in Financial Technology
Intelligent analysis and pattern recognition in sports
Compression and transmission of image and video data
Explanatory and Transparent Artificial Intelligence Models
Biomedical Signal Processing 
Complex Network and Social Network Analysis
Application of Transfer Learning and Adversarial Learning in Pattern Recognition
Intelligent recommendation system
Graph Convolutional Networks and Graph Neural Networks
Optimization of Convolutional Neural Network Structure
New progress in traditional pattern recognition algorithms (such as clustering, support vector machines, etc.)
Application of Distributed and Federated Learning in Pattern Recognition
Dimensionality reduction and feature extraction techniques for high-dimensional data
New progress in automatic classification and clustering methods
Topic Three: Computer Vision
3-D 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