Keynote Speakers
Keynote Speakers (Alphabetize by Last Name)
Prof. Lap-Pui Chau, IEEE Fellow
The Hong Kong Polytechnic University, Hong Kong, China
The Hong Kong Polytechnic University, Hong Kong, China
Short Bio: Lap-Pui Chau received the Ph.D. degree from The Hong Kong Polytechnic University 1997. He was with School of Electrical and Electronic Engineering, Nanyang Technological University from 1997 to 2022. He is currently a Professor in the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University. His research interests include machine learning, computer vision, and image & video analytics. He is an IEEE Fellow. He was the chair of Technical Committee on Circuits & Systems for Communications of IEEE Circuits and Systems Society from 2010 to 2012. He was general chairs and program chairs for some international conferences. Besides, he served as associate editors for several IEEE journals and Distinguished Lecturer for IEEE BTS.
Prof. Hisao Ishibuchi, IEEE Fellow, Chair Professor
Southern University of Science and Technology, China
Southern University of Science and Technology, China
Short Bio: Prof. Hisao Ishibuchi received the BS and MS degrees from Kyoto University in 1985 and 1987, respectively. In 1992, he received the Ph. D. degree from Osaka Prefecture University where he has been a professor since 1999. From April 2017, he is with the Department of Computer Science and Engineering, SUSTech, Shenzhen, China as a Chair Professor. He received a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ-IEEE 2009, WAC 2010, SCIS & ISIS 2010, FUZZ-IEEE 2011, ACIIDS 2015 and GECCO 2017. He also received a 2007 JSPS (Japan Society for the Promotion of Science) Prize. He was the IEEE CIS Vice-President for Technical Activities (2010-2013) and an IEEE CIS Distinguished Lecturer (2015-2017). Currently, he is the President of the Japan EC Society (2016-2018), the Editor-in-Chief of IEEE CI Magazine (2014-2019) and Journal of Japan EC Society (2014-2018), an IEEE CIS AdCom member (2014-2019). He is also an Associate Editor of IEEE TEVC (2007-2018), IEEE Access (2013-2018) and IEEE TCyb (2013-2018). He is an IEEE Fellow.
Prof. Jiawei Jia, Chair Professor, IEEE Fellow
Dean of Institute of Artificial Intelligence and Future Networks
Director of Interdisciplinary Intelligent Supercomputing Center
Beijing Normal University, (BNU-Zhuhai), China
Dean of Institute of Artificial Intelligence and Future Networks
Director of Interdisciplinary Intelligent Supercomputing Center
Beijing Normal University, (BNU-Zhuhai), China
Short Bio: Prof. Weijia Jia is currently a Vice President and Chair Professor at Beijing Normal University (BNU)-Hong Kong Baptist University (HKBU) United International College (UIC), and a Professor at BNU in Zhuhai, China. He also serves as the Director of the Joint BNU-UIC Institute of Artificial Intelligence and Future Networking. Previously, he held positions as Chair Professor and Deputy Director of the State Key Laboratory of Internet of Things for Smart City at the University of Macau and Zhiyuan Chair Professor at Shanghai Jiaotong University.
Prof. Jia holds a BSc and MSc from Central South University, China, and a PhD in Computer Science from the Polytechnic Faculty of Mons, Belgium. He has published over 500 papers in prestigious journals and conferences, with a current H-index of 67 and more than 15,000 citations. His research focuses on AI theory and algorithms, including NLP, optimal network routing, intelligent edge computing, and sensor networking. He has received numerous awards, including the 1st Prize of Scientific Research from China's Ministry of Education in 2017 and multiple provincial science and technology awards.
Prof. Jia is a Fellow of IEEE, a Distinguished Member of the China Computer Federation (CCF), and has been recognized among the Top 2% of life scientists on the Stanford List (2020-2022).
Prof. Ping Li
The Hong Kong Polytechnic University, Hong Kong, China
The Hong Kong Polytechnic University, Hong Kong, China
Short Bio: Dr. Ping LI, National Distinguished Young Expert, is currently an Assistant Professor with the Department of Computing and an Assistant Professor with the School of Design, The Hong Kong Polytechnic University, Kowloon, Hong Kong. Prior to that, he was an Assistant Professor at the Macau University of Science and Technology, Taipa, Macau, and a Lecturer at The Education University of Hong Kong, Tai Po, Hong Kong.
Dr. Li received his Ph.D. degree in CSE from The Chinese University of Hong Kong, Shatin, Hong Kong.
He has published over 150 top-tier vision and graphics papers refereed, including IEEE TVCG, TIP, TNNLS, TMI, TMM, TCSVT, TCYB, TBME, TSMC, TII, CVPR, NeurIPS, AAAI, ACM SIGGRAPH VRCAI. He has an excellent Creative Media project reported worldwide by Science News Line, ScienceWeek, Science Bulletin, EurekAlert!, ACM TechNews, etc.
His current research interests are computer vision and creative media, including image/video stylization, colorization, artistic rendering and synthesis, computational art, interactive design, big data visualization, human-computer interaction, 2D/3D animation, GPU acceleration, virtual and augmented reality.
Assoc. Prof. Mao Kezhi
Nanyang Technological University, Singapore
Nanyang Technological University, Singapore
Short Bio: Dr. Mao obtained his BEng, MEng and PhD from Jinan University, Northeastern University, and University of Sheffield, respectively. Since obtaining his PhD, he has been working at School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he is an Associate Professor. Dr. Mao's expertise spans several subfields of artificial intelligence (AI), including machine learning, computer vision (CV), natural language processing (NLP), and information fusion. In recent years, he has directed his research focus toward the dynamic and transformative domain of NLP such as large language models (LLM).
He has been ranked among the Stanford-Elsevier World's Top 2% Scientists in both career-long and single-year categories from 2020 to 2025. He is placed within the top 0.5% globally in the field of AI & Image Processing.
Prof. Benjamin W. Wah, IEEE Life Fellow, ACM Fellow, AAAS Fellow
Research Professor of Computer Science and Engineering, Provost Emeritus, CUHK
Chinese University of Hong Kong, Hong Kong, China
Research Professor of Computer Science and Engineering, Provost Emeritus, CUHK
Chinese University of Hong Kong, Hong Kong, China
Short Bio: Benjamin Wah (Fellow, IEEE) received the PhD degree from UC Berkeley. He is currently a research professor and was previously the provost of the Chinese University of Hong Kong. He is also professor emeritus with the University of Illinois, Urbana-Champaign. His research interests include nonlinear optimization and multimedia signal processing. He cofounded the IEEE Transactions on Knowledge and Data Engineering in 1988 and served as its editor-in-chief between 1993-1996. He received the IEEE-CS Technical Achievement Award in 1998, the IEEE Millennium Medal in 2000, the Raymond T. Yeh Lifetime Achievement Award from the Society for Design and Process Science in 2003, the IEEE Computer Society W. Wallace-McDowell Award in 2006, and the IEEE-CS Richard E. Merwin Award and IEEE-CS Technical Committee on Distributed Processing Outstanding Achievement Award both in 2007. He has served the IEEE Computer Society in various capacities, including vice president for Publications (1998 and 1999) and president (2001). He is a fellow of the ACM and the AAAS.
Prof. Shengdong Zhao
City University of Hong Kong, Hong Kong, China
Speech Title: Heads-Up Computing: Towards the Next Interaction Paradigm for
Wearable Intelligent Assistants
City University of Hong Kong, Hong Kong, China
Speech Title: Heads-Up Computing: Towards the Next Interaction Paradigm for Wearable Intelligent Assistants
Short Bio: Shengdong Zhao is a Professor in the School of Creative Media and
the Department of Computer Science at City University of Hong Kong. He
established and led the Synteraction (formerly NUS-HCI) research lab
in 2009 at the National University of Singapore. Prof. Zhao received
his Ph.D. in Computer Science from the University of Toronto and a
Master's degree in Information Management Systems from the University
of California, Berkeley.
With extensive experience in developing innovative interface tools and
applications, Prof. Zhao is a regular contributor to top-tier HCI
conferences and journals like CHI, ToCHI, Ubicomp/IMWUT, CSCW, UIST,
and IUI. He served as a senior consultant with Huawei Consumer
Business Group in 2017. An active member of the HCI community, Prof.
Zhao serves on program committees for major HCI conferences and was
the paper co-chair for ACM SIGCHI conference in 2019 and 2020, and is
the paper co-chair for ACM UIST conference in 2025.
Prof. Zhao introduced the concept of Heads-up Computing in 2017,
contributing to several key projects and publications in this area,
including a featured article on heads-up computing in the September
2023 issue of Communications of the ACM. His research aims to develop
innovative interface tools that enhance daily life through this new
interaction paradigm. For more information about his work, please
visit www.shengdongzhao.com.
Abstract: Heads-up computing, an emerging paradigm in human-computer
interaction (HCI), aims to create seamless interactions with
technology through wearable intelligent assistants. This vision relies
on three crucial components: (1) bodily compatible hardware, (2)
multimodal complementary interactions, and (3) interfaces that
accommodate fragmented attention and are aware of potential resources.
Recent advancements in large language models (LLMs) have significantly
accelerated progress in these areas, enabling more natural,
context-aware, and proactive systems. These developments are pushing
heads-up computing beyond simple notifications to complex, multi-modal
interactions that blend seamlessly with our environment and daily
activities, allowing for efficient information processing in everyday
life. However, as we integrate these AI-driven assistants more deeply
into our lives, we must carefully consider ethical implications such
as privacy and cognitive load. Balancing technological advancement
with human-centered principles is crucial to create systems that
enhance productivity while respecting user autonomy and well-being,
ultimately augmenting human capabilities without compromising
fundamental values.
Prof. Hong Zhang, Chair Professor, IEEE Fellow
Fellow, Canadian Academy of Engineering
Southern University of Science and Technology (SUSTech), China
Fellow, Canadian Academy of Engineering
Southern University of Science and Technology (SUSTech), China
Short Bio: Dr. ZHANG Hong is currently a Chair Professor in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech) where he directs "Shenzhen Key Laboratory on Robotics and Computer Vision". His research interests include robotics, autonomous vehicles, computer vision, and image processing. Prior to joining SUSTech, he was a Professor in the Department of Computing Science, University of Alberta, Canada, where he worked for over 30 years. He held an NSERC Industrial Research Chair from 2003-2017, and made significant contributions in robotics research. He served as the Editor-in-Chief of IROS Conference Paper Review Board, a flagship conference of the IEEE Robotics and Automation Society (RAS), from 2020-2022. He is currently serving a three-year term as a member of the Administrative Committee (AdCom) of IEEE RAS (2023-2025). In recognition of his many contributions, Dr. Zhang was elected a Fellow of IEEE and a Fellow of the Canadian Academy of Engineering.
Keynote Speakers in Past CEII
Prof. ChingYee Suen, IEEE FellowConcordia University
The Chinese University of Hong Kong
City University of Hong Kong
Prof. Ron Sun, IEEE FellowRensselaer Polytechnic Institute, USA
The University of Tokyo
Shenzhen Institue of Advanced Technology
Prof. Minghua Cheng, IEEE FellowCity University of Hong Kong
Hong Kong University of Science and Technology, China
University of Missouri, USA
Prof. Kun Yang, IEEE FellowUniversity of Essex, UK
Hong Kong Shue Yan University, China
University of Leicester, UK