Haijun Zhang, University of Science and Technology Beijing, China
国家重大人才工程入选者、IEEEFellow、亚太人工智能学会会士、中国通信学会会士，现任北京科技大学智能科学与技术学院院长、中国电子学会理事

Haijun Zhang (Fellow, IEEE) is currently a Full Professor at University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Canada. He serves/served as Track Co-Chair of VTC Fall 2022 and WCNC 2020/2021, Symposium Chair of Globecom’19, TPC Co-Chair of INFOCOM 2018 Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks, and General Co-Chair of GameNets’16. He serves as an Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Information Forensics and Security, and IEEE Transactions on Communications. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, IEEE ComSoc Young Author Best Paper Award in 2017, IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2019. He is a Distinguished Lecturer of IEEE and IEEE Fellow.

Speech Title: AI-Enabled Resource Management for 6G Networks
Abstract: This talk will explore technical challenges and recent advances in AI-enabled resource management for 6G networks. It is structured into four main sections. Firstly, it will introduce 6G mobile networks, including their architecture, and outline key technical challenges. The second section will focus on resource management issues in 6G, presenting recent research findings to foster engineering insights. The third part will introduce machine learning and deep learning methods applied to future 6G systems to address several critical research questions. Finally, this talk will conclude with a forward-looking perspective on the AI-enabled resource management for 6G mobile networks.

 

 

 

 

Niu Kai, Beijing University of Posts and Telecommunication, China

Bio: Niu Kai is a Professor and Ph.D. Supervisor currently teaching at the School of Artificial Intelligence, Beijing University of Posts and Telecommunications. His main research interests include 5G/6G mobile communication and intelligent signal processing. He has successively led several key and general projects of the National Natural Science Foundation of China, as well as key research and development programs. He has published over 200 papers in important IEEE academic journals and conferences and has applied for more than 100 invention patents. The high-reliability polar coding scheme he proposed has been incorporated into the 5G standard. He has received the Natural Science First Prize of the Chinese Institute of Electronics Science and Technology Award and has been selected as an Outstanding Scientific and Technological Worker by the Chinese Institute of Electronics.

Speech Title: Semantic Information Theory and Methods
Abstract: The integration of communication and intelligence is a significant trend in information technology, with semantic information emerging as a new medium for interaction in future communication systems. This report first introduces the essential characteristic of semantic information—synonymity. It then provides a brief overview of the basic framework of semantic information theory, including the measurement system for semantic information and three fundamental theorems of semantic coding, which delineate the performance limits of semantic communication. Finally, the report presents a system framework for semantic coding and transmission, introduces a variational inference method based on synonymous mapping, and demonstrates the performance advantages of semantic coding. It is foreseeable that semantic communication will become a new paradigm for future communication, boasting broad application prospects.

 

 

 

 

Qingchen Zhang , Hainan University, China

Deputy Dean, School of Computer Science and Technology in Hainan University, China

Bio: Dr. Zhang is currently a full professor at School of Computer Science and Technology in Hainan University, China. His research interests include bioinformatics and smart medicine. He has published more than 50 papers in IEEE Transactions on Computers, IEEE Transactions on Services Computing and the International Joint Conference on Artificial Intelligence. He obtained the most influential paper award in IEEE TCCPS and IEEE SCSTC. He served as one of program chairs for some international academic conferences such as IEEE SmartWorld and IEEE Cybermatics.

Speech Title: Biomarker mining for predicting toxicity responses to cancer immunotherapy
Abstract: The incidence and mortality rates of cancer continue to rise worldwide, seriously threatening people's lives and health and increasing the global economic burden. In recent years, the widespread use of immunotherapy technologies, represented by immune checkpoint inhibitors, has significantly improved the treatment effect of cancer. However, an increasing number of cancer patients experience various toxic reactions during immunotherapy, and some patients even die quickly due to toxic reactions. The mechanism of toxic reactions caused by immunotherapy is not yet clear, and it is difficult to predict their occurrence clinically, which increases the risk of treatment. This study aims to conduct research on biomarker mining methods for the prediction of toxic reactions to cancer immunotherapy, provide theoretical support for precision cancer treatment, reduce treatment risks, and help reveal the mechanism of toxic reactions to immunotherapy.