Abstract: The evolution of generative artificial intelligence (GenAI) has driven revolutionary applications like ChatGPT. The proliferation of these applications is underpinned by the mixture of experts (MoE), which contains multiple experts and selectively engages them for each task to lower operation costs while maintaining performance. Despite MoE's efficiencies, GenAI still faces challenges in resource utilization when deployed on local user devices. Therefore, we first propose mobile edge networks supported MoE-based GenAI. Rigorously, we review the MoE from traditional AI and GenAI perspectives, scrutinizing its structure, principles, and applications. Next, we present a new framework for using MoE for GenAI services in Metaverse to revolutionize content creation and interaction in the Metaverse. Specifically, we harness an MoE model's ability to efficiently manage complex data and complex tasks by dynamically selecting the most relevant experts running various sub-models to enhance the capabilities of GAI. We then present a novel framework that improves video content generation quality and consistency, and demonstrate its application through case studies. Our findings underscore the efficacy of MoE and GAI integration to redefine virtual experiences by offering a scalable, efficient pathway to harvest the Metaverse's full potential.
Keynote Speakers
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Prof. Yunhao Liu
ACM Fellow, IEEE Fellow Tsinghua University, China |
Bio: Yunhao Liu (IEEE F’14, ACM F’15) received the B.S. degree from the Automation Department, Tsinghua University, China, the M.A. degree from Beijing Foreign Studies University, China, and the M.S. and Ph.D. degrees in computer science and engineering from Michigan State University, USA. He is currently a ChangJiang Chair Professor and Dean of the Global Innovation Exchange, Tsinghua University. His research interests include the Internet of Things and Wireless Sensor Network, Indoor Localization and Network Diagnosis, RFID, Supply Chain and Industrial Internet, and Distributed Systems and Cloud Computing. He served extensively in editorial roles, including as the Editor-in-Chief of ACM Transactions on Sensor Networks (2017–2023) and Communications of the CCF (2021-Present), the Associate Editors-in-Chief of IEEE Transactions on Parallel and Distributed Systems (2012-2013), and the Associate Editor of IEEE Transactions on Mobile Computing (2010-2012) and IEEE/ACM Transactions on Networking (2012-2016). He served as the Technical Program Co-Chair of IEEE INFOCOM’2020 and General Co-Chair of ACM EWSN’2019, ACM TURC’2017-2023, Microsoft 21 Century Computing’2015. Prof. Liu is a recipient of the CCF Wang Xuan Award (2020), ACM SIGCOMM Best Student Paper Award (2021), ACM SenSys Best Paper Award (2021), Tsinghua University Distinguished Teaching Award (2017), Gold Award of the 20th/17th China International Software Expo (2016, 2013), CCF IoT Young Achievement Award (2016), ACM MobiCom Best Paper Award (2014), Tsinghua University Distinguished Teaching Award (2014), ACM Presidential Award (2013), NSF China Distinguished Young Scholar (2011), China National Natural Science Award (2011), IEEE DCOSS Best Paper Award (2011), Ministry of Education Natural Science Award (2010), and Hong Kong Best Innovation and Research Award: Grand Prize (2007). He is a fellow of ACM, IEEE, and CCF.
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Prof. Chao Lu
OSA Fellow The Hong Kong Polytechnic University, China |
Bio: Prof. Chao LU obtained his BEng in Electronic Engineering from Tsinghua University, China in 1985. He received his MSc and PhD degree from University of Manchester, UK in 1987 and 1990 respectively. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University(NTU), Singapore in 1991 as a Lecturer and has served there as Senior Lecturer and Associate Professor until 2006. From June 2002 to December 2005, he was seconded to the Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore, as Program Director and Department Manager leading a research group in the area of optical communication and fibre devices. Since April 2006, he has been with the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University as a Professor. He serves as a Visiting Professor to the School of Electrical and Electronic Engineering, Nanyang Technological University(NTU) from Dec 2013 to Dec 2014. Over the years, he has published more than 300 papers in major international journals such as Optics Express, Optics Letters, IEEE Photonic Technology Letters and IEEE/OSA Journal of Lightwave Technology. He has presented many papers and has given a number of invited talks in major international conferences. He has been organizer or technical program committee member of many international conferences. His research interests are in the area of optical communication systems and networks, fibre devices for optical communication and sensor systems. In addition to academic research work, he has had many industrial collaborative research projects and has a number of awarded patents. He is a Fellow of OSA.
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Prof. Dusit Niyato
IEEE Fellow, IET Fellow Nanyang Technological University, Singapore |
Bio: Dusit Niyato is currently a President's Chair Professor in the College of Computing & Data Science (CCDS), Nanyang Technological University, Singapore. Dusit's research interests are in the areas of mobile generative AI, edge intelligence, quantum computing and networking, and incentive mechanism design. Currently, Dusit is serving as Editor-in-Chief of IEEE Transactions on Network Science and Engineering (TNSE). He is also an area editor of IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology (TVT), topical editor of IEEE Internet of Things Journal (IoTJ), lead series editor of IEEE Communications Magazine, and associate editor of IEEE Transactions on Wireless Communications (TWC), IEEE Transactions on Communications, and other ComSoc magazines. Dusit is the Members-at-Large to the Board of Governors of IEEE Communications Society for 2024-2026. He was named the 2017-2024 highly cited researcher in computer science. He is a Fellow of IEEE and a Fellow of IET.