📚︎Track 1: Signal Processing and Intelligent Perception

• Signal Processing Theory and Methods

• Statistical and Nonlinear Signal Processing

• Array and Sensor Signal Processing

• Time-Frequency and Time-Scale Analysis

• Machine Learning for Signal Processing

• Audio, Speech, and Multimedia Signal Processing

• Biomedical and Biosignal Processing

• Medical Image Analysis

• Secure and Privacy-Preserving Signal Processing

• Edge Intelligent Signal Processing

• Multi-Sensor Data Fusion

• Intelligent Sensing Systems

📚︎Track 2: Pattern Recognition and Machine Intelligence

• Pattern Recognition and Classification

• Computer Vision and Image Understanding

• Natural Language Processing

• Multimodal Learning

• Few-Shot and Transfer Learning

• Federated Learning

• Large Language Models and Intelligent Representation

• Explainable Artificial Intelligence

• Transformer Architectures

• Data-Driven Modeling and Learning Algorithms

📚︎Track 3: Intelligent Systems and Computational Methods

• Computational Intelligence

• Intelligent and Adaptive Systems

• Distributed and Parallel Intelligent Computing

• High-Performance Computing for AI

• Edge AI Computing

• Cognitive Computing

• Model Fitting and Data Analytics

• Heterogeneous Computing for Intelligent Applications

• System Modeling and Intelligent Optimization