(The following topics include but are not limited to)
Topic 1: Intelligent Perception
Speech Recognition and Synthesis
Medical image analysis and diagnosis
Perception Technology in Intelligent Transportation Systems
Behavior analysis and posture recognition
Edge computing and real-time perception
Environmental Perception in Autonomous Vehicles
Intelligent monitoring system
Application of New Sensors and Intelligent Hardware
Automated testing and quality control
Multimodal perception and data fusion
Perception Technology in Augmented Reality and Virtual Reality
Knowledge driven multi-sensor data fusion technology
Embedded computing for perception systems
Wearable devices and health monitoring
Ocean perception and detection technology
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
Pollution Monitoring and Environmental Data Analysis
Smart antenna system and wireless sensing
Computer Vision and Image Processing
Biometric recognition (fingerprint, iris, voice, etc.)
Perception Technology in Space Exploration and Astronomical Observation
Topic 2: Pattern recognition
Object detection and tracking
Intelligent recommendation system
Abnormal detection and fault diagnosis
Emotion Computing and Emotion 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
Biomedical Signal Processing 
Complex Network and Social Network Analysis
Dimensionality reduction and feature extraction techniques for high-dimensional data
New progress in automatic classification and clustering methods
The Application of Deep Learning in Pattern Recognition
Natural Language Processing and Text Analysis
The Application of Big Data in Pattern Recognition
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
Application of Transfer Learning and Adversarial Learning in Pattern Recognition
New progress in traditional pattern recognition algorithms (such as clustering, support vector machines, etc.)
Application of Distributed and Federated Learning in Pattern Recognition
The Application of Data Privacy and Security Management in Perception Systems
Topic 3: Neural Networks
Graph Convolutional Networks and Graph Neural Networks
Optimization of Convolutional Neural Network Structure
Deep neural network
Convolutional Neural Network
Generative Adversarial Networks
Recursive neural network
Neural Network Architecture
Neural Symbol Hybrid Model
Interpretability and Visualization Methods of Neural Networks
Other related topics