(The following topics include but are not limited to)
Track 1: Intelligent Computing
Machine learning for intelligent systems
Deep learning algorithms
Reinforcement learning
Probabilistic reasoning and decision-making
Computer vision and perception
Sensor data fusion
Edge and embedded AI
Planning and scheduling of autonomous systems Optimize algorithm
Multi-agent learning and collaboration
Integration of quantum computing and intelligent algorithms
Big data analysis, mining and visualization
Edge computing and cloud-edge collaborative intelligence
Track 2: Signal Processing
Signal processing and detection
Radar and sonar signal processing
Communication signal processing
Audio and sound signal processing
Sensor array and multi-channel signal processing
Multimedia signal processing
Speech and language processing
Image and video processing
Signal processing for computer vision and robotics technology
Optimization methods
Computational imaging/spectral imaging
Signal processing through graphics and networks
Compressed sensing and sparse modeling
Nonlinear signal processing
Statistical signal processing
IoT signal processing
Big data signal processing
Signal processing for power systems
Design/implementation of signal processing systems
Track 3: Machine Learning
Modeling and recognition
Machine learning algorithms
Deep learning, artificial intelligence
Intelligent search, data mining, pattern recognition
Information system security
Mobile computing
Wireless sensor networks
Multimedia networks
Robot control
Signal detection and estimation
Bioinformatics processing
Intelligent systems
Bayesian networks ...