(The following topics include but are not limited to)
Topic 1. Machine Learning
Intelligent data analysis
Modeling and identification
Multitasking and transfer learning
Machine learning algorithm
Deep learning/Artificial Intelligence/Intelligent search
Data mining/Data access
Pattern recognition/Intelligent Transportation/Information System security
Data compression/Data encryption/mobile computing
Wireless sensor network
Multimedia network/Neural network/Robot control
Signal detection and estimation
Biological information processing
Intelligent Systems/Statistical Learning/Bayesian Networks
Topic 2. Deep Learning
Basic algorithms for deep learning
Deep learning in computer vision
Combining natural language processing with vision
Transfer learning/domain adaptation/reinforcement learning
Joint learning and privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing
Topic 3. Smart Sensing technology
Sensors, actuators and their applications
Sensing material
Multi-sensor information fusion technology
Physical, chemical and biological sensors
Digital output sensor
Sensor theory, principles, effect design, standardization
Smart sensors and systems
Sensor instrument
Virtual instrument sensor interface
Bus signal processing
Network signal processing
Sensor technology and materials
Nanosensors/Microsystems/sensor circuits