logo

IEEE WOCC 2025

The 34th Wireless and Optical Communications Conference (WOCC2025)

May 20 - May 22, 2025

Macau, China

Keynote Speakers

Prof. Yunhao Liu
ACM Fellow, IEEE Fellow
Tsinghua University, China
  • Title: AIOT: From Digital-follow-up to Digital-Leadoff
  • Abstract

    Click to Access The Abstract

    Abstract: We have passed the period of Digital-Follow-up, and now we are in Digital Twin, and trying to enter Digital-lead-off of Industrial Internet of Things. I will share lessons learned from our recent implementations of AIOT systems in oil refinery and glass factories in Middle East, United States, and China.


    Bio: Yunhao Liu ACM Fellow , IEEE Fellow, Chair Professor at Tsinghua University. He also served as the Dean of School of Software in Tsinghua, and the MSU Foundation Professor and the Chairperson of Department of Computer Science and Engineering in Michigan State University. Yunhao received his B.S. degree in the Department of Automation at Tsinghua University, and an M.A. degree at Beijing Foreign Studies University, China. He received an M.S. and a Ph.D. degree in Computer Science and Engineering at Michigan State University, USA. Yunhao received Hong Kong ICT Best Innovation and Research Award Grand Prize 2007, China Ministry of Education First Class Natural Science Award 2010, Second Class National Natural Science Award 2011, ACM Presidential Award 2013, CCF Wang Xuan Award 2022, CCF First Class Natural Science Award 2024, CIE First Class Natural Science Award 2024 as well as many best paper awards including ACM MobiCom 2014 best paper award, ACM SenSys 2021 Best Paper Award, and SIGCOMM 2021 Best Student Paper Award.


    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.

    Prof. Dusit Niyato
    IEEE Fellow, IET Fellow
    Nanyang Technological University, Singapore
  • Title: Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks and Metaverse
  • Abstract

    Click to Access The Abstract

    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.

    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.

    Invited Speakers