Recently, the concept of emerging artificial intelligence(AI) technologies, such as multi-modality learning, have significantly impacted the world by storm. Next-generation AI revolutionize the method of interacting with humans. This great development attracts more and more attention for AI technologies, including all derivative technologies form the key foundation of many advanced algorithms applied in wireless communication. The emerging AI technology broadens the application range from optimization to physical layer processing. The integration of AI technologies with wireless communication will enable communication system to make more intelligent decisions in the system design, automatic operation and optimization. Better training algorithms and larger datasets play a critical role in the future of AI technologies. As more data is entered into these models, their understanding of complex questions will continue to improve.

We invite high-quality original research papers to describe recent and anticipated challenges or discoveries, as well as potential intelligent solutions for future mobile communications and networks. We welcome both theoretical and experimental papers. We expect the papers of the conference to serve as valuable references for a large audience from both academia and industry. How to apply emerging AI algorithm to communication network effectively will be the interest of this meeting. If you have any questions, please contact me by email wengyu@muc.edu.cn.

Relevant topics include, but are not limited to:

Use and analysis of network information:
Misinformation
Fake news
Post-truth
Infodemics
Cryptography and blockchain

Evaluation of science in social networking environment:
Open science
Altmetrics
Scientometrics
Scholarly communication
Social network analysis

Science, technology, innovation, and data processing
Big data
Data curation
Data Science
Data Engineering
Research data management
Deep learning
Machine learning
ChatGPT and AI model
e-Science

Other interesting topics:
Internet of Things and Distributed Computing
Federated learning applications
Pre-trained technology
AI-based applications and technologies in education
Knowledge-aware Visual Question Answering
Neural Network & Learning
Machine Learning & Network Security
Image Processing & Pattern Recognition
Computer Vision
Image processing technology
Low-Resource Languages and Cross-Lingual Text Processing
Multi-modal technology applications
Datasets and evaluation