(Including but not limited to the following topics)
Track 1: Data-driven Networks
Data-driven mobile computing and wireless communication
Data-driven telecommunications
Data-driven network trust, security and privacy
Big data-based 5G networks
Data-driven software-defined networks (SDN)
Network-oriented machine learning and deep learning technologies
Network-based models and optimization algorithms
Data-driven social network analysis
Internet of Things (IoT) and big data
Machine learning and data mining of multimedia in social networks
Data-driven network patterns and applications, such as intelligent transportation systems
Data mining, data quality, data visualization
Data center management and optimization
Cloud-network optimization based on big data
User big data analysis
Mobile terminal big data analysis
Track 2: Cloud Computing
Cloud-native architecture and serverless computing
Heterogeneous cloud resource scheduling and energy efficiency optimization
Cloud-edge-end collaborative computing framework
Distributed cloud and edge intelligent nodes
Cloud computing security and trusted execution environment
Multi-cloud management and service mesh technology
Green cloud computing and carbon footprint tracking
Edge AI model compression and deployment
Cloud-network integration innovation
Open source cloud-edge computing platform
Cloud computing standardization and evaluation
Exploration of quantum cloud computing integration
Track 3: Intelligent Signal Processing
Deep learning-driven signal processing
Compressed sensing and sparse signal reconstruction
Multimodal signal fusion and enhancement
Distributed signal detection and estimation
Graph signal processing and network analysis
Intelligent analysis of biomedical signals
Radar and communication signal processing
Speech and audio signal processing
Signal processing hardware acceleration design
Open source signal processing algorithm library
Research on signal processing interpretability
Low-power embedded signal processing ......