(Include but not limited to)
Track 1: Intelligent Signal Processing and Machine Learning
Deep learning in signal and information processing
Machine learning methods for signal processing
Data mining and its applications
Nonlinear signal processing
Analog and mixed-signal processing
Integration of large language models and signal processing systems
Speech and audio processing based on large language models
Language model-driven multimodal signal processing
Applications of generative artificial intelligence in signal enhancement and reconstruction
Semantic communication and language models
Blind multi-dimensional signal processing
Blind channel estimation and identification
Non-cooperative source detection, location and tracking
Intelligent target tracking and prediction algorithms
Multimodal information fusion (radar, electro-optical/infrared, lidar)
Base models for large-scale models for situation understanding and data fusion
Track 2: Communication Systems and Signal Processing
Modulation and channel coding
Communication and broadband networks
Multimedia communication
Signal processing for Internet and wireless communication
Data communication
Signal processing for underwater communication and underwater acoustic communication
Intelligent sensing technology
Information processing of sensor networks
Signal processing for remote sensing and positioning
Analysis and design of navigation systems
Wireless communication and signal processing
Intelligent robots, intelligent control
Embedded vision
Intelligent electromechanical systems
Integrated radar and communication systems
New waveform technologies for 6G communication, perception and positioning
Track 3: Edge Computing and Intelligent Systems
Real-time signal processing architecture driven by edge computing
Lightweight machine learning models for edge devices
Multi-sensor data fusion in edge intelligence
Communication signal processing assisted by edge computing
Intelligent signal analysis in end-to-end cloud collaboration
Target detection and tracking in edge computing environment
Implementation of embedded vision and signal processing on the edge side
Application of low-latency edge computing in wireless communication
Embodied fusion of edge intelligence and autonomous systems
Model compression and acceleration for edge deployment
Underwater/marine signal processing supported by edge computing
Resource management and task scheduling of edge nodes
Privacy protection and secure signal processing in edge computing
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