Zitai Wang received his Ph.D. in Engineering from the Institute of Information Engineering, Chinese Academy of Sciences, in 2024. He is currently a postdoctoral researcher at the Institute of Computing Technology, Chinese Academy of Sciences. His research focuses on machine learning and data mining, with a particular emphasis on optimizing classification measures in incomplete scenarios. He has published over ten papers in top international journals and conferences and serves as a reviewer for T-PAMI, NeurIPS, ICML, and CVPR. In 2024, he was selected for the China National Postdoctoral Program for Innovative Talents.

Homepage 1：https://wang22ti.github.io/

Homepage 2：https://scholar.google.com/citations?user=45qZ_LcAAAAJ