In order to strengthen the ties and academic exchanges between the City University of Macau (CityU) and the Minzu University of China (MUC), and to explore the application and development of Artificial Intelligence (AI) technology in various fields, Assistant Professor Kong Hoi Io, Programme coordinator of the Faculty of Data Science, led a team of faculty members from the City University of Macau (CityU) to visit the Hainan International college of MUC from 12th to 14th November 2024 and to hold a series of four lectures on AI technology. The seminars aimed to help undergraduate students to enhance their research skills and understand the latest progress and future development of artificial intelligence.
Assistant Professor Kong Hoi Io, Programme Coordinatorof the faculty of Data Science, discussed the application of AI in meteorological forecasting with the topic of ‘Artificial Intelligence and Meteorological Science’. She emphasised the growing prominence of AI in scientific research and discussed how traditional weather forecasting can be combined with AI technology to meet the challenges facing the scientific community.
Assistant Professor Chun Wang of the faculty of Data Science gave a presentation on ‘Introduction to Graphical Neural Networks: Applications and Development’, which introduced the powerful capability of graphical neural networks in processing complex graphical data, shared the basic theories of graphical neural networks, related applications and the latest research progress, and provided students with academic insights after an in-depth exploration of the field.
Assistant Professor Chi Liu of the faculty of Data Science discussed the new challenges of real-world deployment of medical AI with the topic of ‘Real-world evaluation of Medical AI: the next-level play’. At the same time, he also discussed the issues that deserve further consideration in the real-world deployment of medical AI from the perspectives of economic efficiency, fairness, privacy security and reliability, and in light of his recent research work and thoughts.
Assistant Professor Jing Sun of the faculty of Data Science focused on ‘Deep Reinforcement Learning Approaches to Vehicle Path Problems: Recent Developments and Challenges’. She reviewed the development and challenges of existing neural solvers of the ‘constructive’ and ‘iterative’ types, and shared representative work in this area, including learning based methods for solving the vehicle path problem, such as AM (attention model) and POMO (attention model). He also shared his representative work in this area, including the learning based methods AM (attention model) and POMO (Policy optimisation with multiple optima for reinforcement learning) for solving the vehicle path problem.
This academic exchange activity not only opened up new knowledge horizons for students to learn how to combine theory and practice and how to explore and innovate on the road of scientific research, but also injected new vitality into the cooperation between the two universities, explored innovative ways of scientific research and education together, and provided students with more high-quality academic exchange platforms.
