Vice Rector Zhou Wanlei attends 10th National Conference on Intelligent Information Processing and delivers keynote speech
Prof. Zhou Wanlei, vice rector of the City University of Macau (CityU) and dean of the Faculty of Data Science (FDS), was recently invited to attend the 10th National Conference on Intelligent Information Processing (NCIIP 2025) in Guangzhou, where he delivered a keynote speech discussing the necessity and research progress of machine unlearning. The conference was organized by the Chinese Association for Artificial Intelligence (CAAI), with co-hosting by CAAI’s Professional Committee of intelligent Engineering and Distributed Intelligence and South China Normal University. The event brought together numerous internationally renowned experts to explore cutting-edge topics in intelligent information processing.
At the conference, Vice Rector Zhou Wanlei presented his keynote address titled “Machine Unlearning: A New Privacy Requirement of the AI Era,” highlighting the remarkable advancements of machine learning over the past decade and its positive impact on people’s daily life. However, he emphasized that these developments coupled with critical concerns regarding privacy issues, usability challenges, and the implementation of the “right to be forgotten”, ultimately leading to the emergence of Machine Unlearning as a novel research field. Vice Rector Zhou conducted a thorough analysis of the fundamental necessities of machine unlearning, delving the current research achievements in the field and practical solutions.
The conference also featured keynote presentations by distinguished scholars: Professor Fan Wenfei, chair of the School of Informatics of the University of Edinburgh; Professor Zhang Min, dean of Institute of Computing and Intelligence at the Harbin Institute of Technology (Shenzhen); and Professor Geng Xin, chair professor at Southeast University, who represented their groundbreaking research findings and cutting-edge perspectives.
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Source: 10th National Conference on Intelligent Information Processing
