Speakers

Prof. Yonghui Li (ARC Future Fellow, Fellow IEEE)

The University of Sydney, Sydney

Yonghui Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of the Australian Research Council (ARC)Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. He is an IEEE Fellow. His current research interests are in the area of wireless communications. Professor Li was an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received the best paper awards from several conferences. He has published one book, more than 300 papers in premier IEEE journals and more than 200 papers in premier IEEE conferences. His publications have been cited more than 20000 times.

Speech Title: Beyond 5G towards a Super-connected World

Abstract: Connected smart objects, platforms and environments have been identified as the next big technology development, enabling significant society changes and economic growth. The entire physical world will be connected to the Internet, referred to as Internet of Things (IoT). The intelligent IoT network for automatic interaction and processing between objects and environments will become an inherent part of areas such as electricity, transportation, industrial control, utilities management, healthcare, water resources management and mining. Wireless networks are one of the key enabling technologies of the IoT. They are likely to be universally used for last mile connectivity due to their flexibility, scalability and cost effectiveness. The attributes and traffic models of IoT networks are essentially different from those of conventional communication systems, which are designed to transmit voice, data and multimedia. IoT access networks face many unique challenges that cannot be addressed by existing network protocols; these include support for a truly massive number of devices, the transmission of huge volumes of data burst in large-scale networks over limited bandwidth, and the ability to accommodate diverse traffic patterns and quality of service (QoS) requirements. Some IoT applications have much stringent latency and reliability requirements which cannot be accommodated by existing wireless networks. Addressing these challenges requires the development of new wireless access technologies, underlying network protocols, signal processing techniques and security protocols. In this talk, I will present the IoT network development, architecture, key challenges, requirements, potential solutions and recent research progress in this area, particularly in 5G and beyond 5G.

Prof. Liang Hu

TongJi University, China

Research Area: Recommender systems, machine learning, deep learning, data science, and cross-disciplinary-inspired and convergent smart technologies

Liang Hu is a professor in the School of Electronic and Information Engineering at Tongji University, selected as Shanghai Overseas High-level Talent and National Foundation of China Excellent Youth (Overseas). His research areas include recommender systems, machine learning, deep learning, data science, and cross-disciplinary-inspired and converged intelligent technologies. He has published more than 40 high-level academic papers in many research directions such as cross-domain learning, multimodal learning, complex relationship learning, behavioral sequence analysis and prediction, and multi-objective optimization, including more than 20 papers in Chinese Computer Federation (CCF) Class A journals, more than 10 papers in CCF B as well as JCR Q1 journals, including WWW, IJCAI, AAAI, ICDM, ICWS, TOIS, TKDE, IEEE IS, and so on.

Speech Title: New Paradigms of Generative Human-Computer Interaction and Collaboration in the Era of Large Models

Abstract: The development of generative large language models, represented by ChatGPT, is in full swing, and the cross-modal generative technologies represented by MidJourney and SORA have become cutting-edge hot topics. It is said the generative AI technology is rapidly emerging. In the era of current AI large models, the development of generative technology has also brought a brand new paradigm to the modes of human-computer interaction and collaboration. This report will narrate the new paradigms of human-computer interaction and collaboration brought to us by generative AI technology in common daily scenarios, including content recommendation, game production, and smart healthcare.