Data-centric AI

Dr. Conghao Zhou is currently a full professor at the School of Telecommunications Engineering, Xidian University, China. He received his Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo ON, Canada. His research interests include AI for networking, immersive communications, and space-air-ground integrated networks. Dr. Zhou received the IEEE GLOBECOM'24 Best Paper Award and the IEEE WCSP'25 Best Paper Award. He served as a guest editor for IEEE Journal on Miniaturization for Air and Space Systems and MDPI Remote Sensing, and TPC members of many conferences, including IEEE ICC, ICCC, and VTC.Dr. Jie Gao is currently an Assistant Professor in the School of Information Technology at Carleton University. His research focuses on machine learning for communications and networking, digital twins, and other emerging technologies for 6G. Dr. Gao is the recipient of the IEEE VTS OJVT Best Paper Award 2025 and the IEEE Best Land Transportation Paper Award (2024). He has served as a Publicity Co-Chair for IEEE VTC2025-Fall and IEEE MetaCom 2023, a Publication Co-Chair for ACM/IEEE IoTDI 2022, and as a co-chair for multiple tracks, symposia, and workshops at international conferences since 2021.Dr. Xuemin (Sherman) Shen received the Ph.D. degree in electrical engineering from Rutgers University, New Brunswick, NJ, USA, in 1990. He is a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on network resource management, wireless network security, Internet of Things, AI for networks, and vehicular networks. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Member, and an International Fellow of Engineering Academy of Japan. He is also a Distinguished Lecturer of the IEEE Vehicular Technology Society and Communications Society.

• Introduction.- Reshaping Reality.- Challenges for Networks.- Digital Twin for Data-centric AI.- Communication Service Provision for Device Pose Tracking in XR.- Communication-adaptive Physical Environment Mapping in XR.- Data-centric Reinforcement Learning-based Approach.- Multi-tier Computing for Virtual Content Delivery in XR.- Virtual Content Delivery in XR.- Network Planning.- Data-centric Meta Learning-based Approach.- Future Directions.- Conclusion.