Keynote Speakers
Speech Title
A New Framework for Human-Technology Collaborative Cognition and Creation in the GenAI Era
Prof. Zhu, Zhiting
Lifetime Professor
East China Normal University, China
Speaker Bio
Zhiting Zhu (祝智庭) is a Lifetime Professor at East China Normal University and a PhD supervisor in Educational Technology. He also serves as the Chief Consultant for the Ministry of Education's E-Learning Technology Standards Committee and is a Special Advisor at the UNESCO International Centre for Higher Education Innovation, among other roles. His research areas include the design of digital education technology systems architecture and technical standards, the theories and cultural transformation of education digitalization, and the theories and practical models of wisdom education.
Speech Summary
In the era of Generative Artificial Intelligence (GenAI), the collaborative cognition and creation between humans and AI are reshaping our world. This report explores a new framework, illustrated through a diagram, showcasing the complementary strengths of humans and AI in collaborative optimization, unique human capabilities, AI enhancements, and joint exploration. Through this dimensional thinking, we will reveal new directions for future educational development, construct a novel framework for wisdom education, and focus on GenAI-empowered convergence education to cultivate new-quality talents suitable for the digital and intelligent era.
Speech Title (Tentative)
Advancing AR/VR Education Through Intelligent Style Transfer by the Power of GenAI
Dr. Li, Yung-Hui
Senior Director
AI Research Center, Hon Hai Research Institute, Taiwan
Speaker Bio
Dr. Yung-Hui Li is the founding director of AI Research Center at Hon Hai Research Institute, Foxconn's core R&D center. He holds degrees from National Taiwan University (B.S., 1995), University of Pennsylvania (M.S., 1998), and Carnegie Mellon University (Ph.D., 2010). Previously a tenured professor at National Central University, Taiwan, he now leads research at Foxconn. His team excels in autonomous driving, winning top ranks in global challenges including Argoverse 1 & 2 Motion Forecasting Competition (CVPR 2023, 2024), Waymo Sim Agents Challenge (CVPR 2024), and securing second place in Waymo Motion Prediction Challenge (CVPR 2024). Dr. Li has received gold and silver medals at international invention exhibitions in Geneva, Pittsburgh (INPEX), and Silicon Valley (SVIIF). His research focuses on Generative AI, Large Language Models, Multimodal Foundation Models, and their applications in Computer Vision, Autonomous Driving, Smart Manufacturing, and Biometrics. He has published over 100 papers in top AI conferences (including CVPR, EMNLP, AAAI) and journals (including IEEE Transactions on Pattern Analysis and Machine Intelligence, Cybernetics, Intelligent Transportation Systems, Intelligent Vehicles, and ACM Computing Surveys).
