(Including but not limited to the following topics)
Track 1: Intelligent Computing
Cloud computing and edge computing
Distributed and high-performance computing
Quantum computing and quantum machine learning
Neuromorphic computing and brain-like intelligence
Computational storage and near-data processing
Photon computing and new computing paradigms
Intelligent chips and hardware acceleration
New storage architectures and systems
High-performance networks and communications
Green computing and energy efficiency optimization
Digital twins and virtual simulation
Metaverse and immersive computing
Blockchain and trusted computing
Internet of Things and intelligent sensing
Embedded and mobile computing
Matrix computation and tensor analysis
Differential equations and dynamical systems
Big data analysis and mining
Data visualization and interaction
Time series analysis and predictive modeling
Track 2: Digital Signal Processing
Machine learning and statistical signal processing
Digital and multi-rate signal processing
Design and implementation of signal processing systems
Speech and language processing
Audio and acoustic signal processing
Image and multi-dimensional signal processing
Multimedia signal processing
Communication signal processing
Sensor arrays and multi-channel signal processing
Biomedical signal processing
Signal processing in education
Emerging signal processing applications
Track 3: Pattern Recognition
Pattern recognition and classification
Computer vision and image understanding
Natural language processing
Multimodal learning
Small sample and transfer learning
Federated learning
Large language models and intelligent representations
Interpretable artificial intelligence
Transformer architecture
Data-driven modeling and learning algorithms ......