Organizers
Qinghe Du
Chair
Professor, Xi'an Jiaotong University
杜清河，教授，西安交通大学
Yuquan Xiao
Co-Chair
Research Associate, Xi'an Jiaotong University
肖玉权，助理研究员，西安交通大学
Zhixiong Chen
Co-Chair
Research Fellow, Queen Mary University of London
陈志雄，研究员，伦敦玛丽女王大学
Jiaen Zhou
Co-Chair
Research Associate, Beijing University of Posts and Telecommunications
周家恩，助理研究员，北京邮电大学
Bilal Hussain
Co-Chair
Lecturer, Hong Kong Polytechnic University
Abstract
As 6G research accelerates, the traditional boundaries between communication and computing are rapidly dissolving. Rather than serving merely as a conduit for information transfer, 6G is envisioned as an intelligent platform that deeply integrates pervasive computing capabilities with ultra-high-speed wireless connectivity. This trend toward communication–computing convergence aims to break down the long-standing barriers between data transmission and data processing, enabling a paradigm shift from connecting things to connecting intelligence. This Track brings together experts from both academia and industry to explore cutting-edge theories, system architectures, and key technologies for the Convergence of AI, Communication, and Computing. Our objective is to address the tradeoff between limited resources and personalized requirements inherent in compute-centric networks, edge intelligence, and real-time AI applications, ultimately advancing the development of an efficient, green, and secure 6G-native AI network architecture.
Topics
专题征稿主题包括但不限于:
- Architectures for Communication-Computing Convergence
- Real-Time and Low-Latency AI Service Guarantees
- AI-Assisted Physical Layer and MAC Technologies
- Security, Privacy, and Trust in Integrated AI-Communication Systems
- Joint Optimization for Sensing, Communication, and Computing
- Joint AI Inference and Transmission Optimization
- Realistic Datasets Collecting for Wireless Networks
- Generative AI Enabled Communication Resource Management
- Evaluation Platform for Communication-Computing Convergence