Regular biography
Dr. Zi Huang is a distinguished researcher and academic in the field of data science, machine learning, and artificial intelligence. She is currently a professor at the School of Data Science, The Chinese University of Hong Kong (CUHK), where she leads research in areas such as large-scale pre-training, graph representation learning, and responsible data management. Her work has been widely recognized and published in top-tier conferences and journals, including ACM SIGIR, IEEE TKDE, IEEE TMM, and VLDB Journal. Dr. Huang has made significant contributions to the development of robust and interpretable AI systems, with a focus on applications in natural language processing, computer vision, and multimedia. She is also actively involved in the academic community, serving as an editor for prestigious journals such as the *World Wide Web* and *VLDB Journal*. Her research has been supported by various grants and has had a profound impact on both academia and industry.